http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/b8a847fa/userguide/binaryclass/webspam.html
----------------------------------------------------------------------
diff --git a/userguide/binaryclass/webspam.html 
b/userguide/binaryclass/webspam.html
index c913479..a0fa6a0 100644
--- a/userguide/binaryclass/webspam.html
+++ b/userguide/binaryclass/webspam.html
@@ -4,7 +4,7 @@
     <head>
         <meta charset="UTF-8">
         <meta content="text/html; charset=utf-8" http-equiv="Content-Type">
-        <title>Webspam tutorial · Hivemall User Manual</title>
+        <title>Webspam Tutorial · Hivemall User Manual</title>
         <meta http-equiv="X-UA-Compatible" content="IE=edge" />
         <meta name="description" content="">
         <meta name="generator" content="GitBook 3.2.3">
@@ -221,13 +221,28 @@
             
         </li>
     
-        <li class="chapter " data-level="1.3" data-path="../tips/">
+        <li class="chapter " data-level="1.3" data-path="../misc/funcs.html">
             
-                <a href="../tips/">
+                <a href="../misc/funcs.html">
             
                     
                         <b>1.3.</b>
                     
+                    List of Functions
+            
+                </a>
+            
+
+            
+        </li>
+    
+        <li class="chapter " data-level="1.4" data-path="../tips/">
+            
+                <a href="../tips/">
+            
+                    
+                        <b>1.4.</b>
+                    
                     Tips for Effective Hivemall
             
                 </a>
@@ -237,12 +252,12 @@
             <ul class="articles">
                 
     
-        <li class="chapter " data-level="1.3.1" 
data-path="../tips/addbias.html">
+        <li class="chapter " data-level="1.4.1" 
data-path="../tips/addbias.html">
             
                 <a href="../tips/addbias.html">
             
                     
-                        <b>1.3.1.</b>
+                        <b>1.4.1.</b>
                     
                     Explicit add_bias() for better prediction
             
@@ -252,12 +267,12 @@
             
         </li>
     
-        <li class="chapter " data-level="1.3.2" 
data-path="../tips/rand_amplify.html">
+        <li class="chapter " data-level="1.4.2" 
data-path="../tips/rand_amplify.html">
             
                 <a href="../tips/rand_amplify.html">
             
                     
-                        <b>1.3.2.</b>
+                        <b>1.4.2.</b>
                     
                     Use rand_amplify() to better prediction results
             
@@ -267,14 +282,14 @@
             
         </li>
     
-        <li class="chapter " data-level="1.3.3" 
data-path="../tips/rt_prediction.html">
+        <li class="chapter " data-level="1.4.3" 
data-path="../tips/rt_prediction.html">
             
                 <a href="../tips/rt_prediction.html">
             
                     
-                        <b>1.3.3.</b>
+                        <b>1.4.3.</b>
                     
-                    Real-time Prediction on RDBMS
+                    Real-time prediction on RDBMS
             
                 </a>
             
@@ -282,12 +297,12 @@
             
         </li>
     
-        <li class="chapter " data-level="1.3.4" 
data-path="../tips/ensemble_learning.html">
+        <li class="chapter " data-level="1.4.4" 
data-path="../tips/ensemble_learning.html">
             
                 <a href="../tips/ensemble_learning.html">
             
                     
-                        <b>1.3.4.</b>
+                        <b>1.4.4.</b>
                     
                     Ensemble learning for stable prediction
             
@@ -297,12 +312,12 @@
             
         </li>
     
-        <li class="chapter " data-level="1.3.5" 
data-path="../tips/mixserver.html">
+        <li class="chapter " data-level="1.4.5" 
data-path="../tips/mixserver.html">
             
                 <a href="../tips/mixserver.html">
             
                     
-                        <b>1.3.5.</b>
+                        <b>1.4.5.</b>
                     
                     Mixing models for a better prediction convergence (MIX 
server)
             
@@ -312,12 +327,12 @@
             
         </li>
     
-        <li class="chapter " data-level="1.3.6" data-path="../tips/emr.html">
+        <li class="chapter " data-level="1.4.6" data-path="../tips/emr.html">
             
                 <a href="../tips/emr.html">
             
                     
-                        <b>1.3.6.</b>
+                        <b>1.4.6.</b>
                     
                     Run Hivemall on Amazon Elastic MapReduce
             
@@ -332,14 +347,14 @@
             
         </li>
     
-        <li class="chapter " data-level="1.4" 
data-path="../tips/general_tips.html">
+        <li class="chapter " data-level="1.5" 
data-path="../tips/general_tips.html">
             
                 <a href="../tips/general_tips.html">
             
                     
-                        <b>1.4.</b>
+                        <b>1.5.</b>
                     
-                    General Hive/Hadoop tips
+                    General Hive/Hadoop Tips
             
                 </a>
             
@@ -348,12 +363,12 @@
             <ul class="articles">
                 
     
-        <li class="chapter " data-level="1.4.1" data-path="../tips/rowid.html">
+        <li class="chapter " data-level="1.5.1" data-path="../tips/rowid.html">
             
                 <a href="../tips/rowid.html">
             
                     
-                        <b>1.4.1.</b>
+                        <b>1.5.1.</b>
                     
                     Adding rowid for each row
             
@@ -363,12 +378,12 @@
             
         </li>
     
-        <li class="chapter " data-level="1.4.2" 
data-path="../tips/hadoop_tuning.html">
+        <li class="chapter " data-level="1.5.2" 
data-path="../tips/hadoop_tuning.html">
             
                 <a href="../tips/hadoop_tuning.html">
             
                     
-                        <b>1.4.2.</b>
+                        <b>1.5.2.</b>
                     
                     Hadoop tuning for Hivemall
             
@@ -383,12 +398,12 @@
             
         </li>
     
-        <li class="chapter " data-level="1.5" data-path="../troubleshooting/">
+        <li class="chapter " data-level="1.6" data-path="../troubleshooting/">
             
                 <a href="../troubleshooting/">
             
                     
-                        <b>1.5.</b>
+                        <b>1.6.</b>
                     
                     Troubleshooting
             
@@ -399,12 +414,12 @@
             <ul class="articles">
                 
     
-        <li class="chapter " data-level="1.5.1" 
data-path="../troubleshooting/oom.html">
+        <li class="chapter " data-level="1.6.1" 
data-path="../troubleshooting/oom.html">
             
                 <a href="../troubleshooting/oom.html">
             
                     
-                        <b>1.5.1.</b>
+                        <b>1.6.1.</b>
                     
                     OutOfMemoryError in training
             
@@ -414,14 +429,14 @@
             
         </li>
     
-        <li class="chapter " data-level="1.5.2" 
data-path="../troubleshooting/mapjoin_task_error.html">
+        <li class="chapter " data-level="1.6.2" 
data-path="../troubleshooting/mapjoin_task_error.html">
             
                 <a href="../troubleshooting/mapjoin_task_error.html">
             
                     
-                        <b>1.5.2.</b>
+                        <b>1.6.2.</b>
                     
-                    SemanticException Generate Map Join Task Error: Cannot 
serialize object
+                    SemanticException generate map join task error: Cannot 
serialize object
             
                 </a>
             
@@ -429,12 +444,12 @@
             
         </li>
     
-        <li class="chapter " data-level="1.5.3" 
data-path="../troubleshooting/asterisk.html">
+        <li class="chapter " data-level="1.6.3" 
data-path="../troubleshooting/asterisk.html">
             
                 <a href="../troubleshooting/asterisk.html">
             
                     
-                        <b>1.5.3.</b>
+                        <b>1.6.3.</b>
                     
                     Asterisk argument for UDTF does not work
             
@@ -444,12 +459,12 @@
             
         </li>
     
-        <li class="chapter " data-level="1.5.4" 
data-path="../troubleshooting/num_mappers.html">
+        <li class="chapter " data-level="1.6.4" 
data-path="../troubleshooting/num_mappers.html">
             
                 <a href="../troubleshooting/num_mappers.html">
             
                     
-                        <b>1.5.4.</b>
+                        <b>1.6.4.</b>
                     
                     The number of mappers is less than input splits in Hadoop 
2.x
             
@@ -459,14 +474,14 @@
             
         </li>
     
-        <li class="chapter " data-level="1.5.5" 
data-path="../troubleshooting/mapjoin_classcastex.html">
+        <li class="chapter " data-level="1.6.5" 
data-path="../troubleshooting/mapjoin_classcastex.html">
             
                 <a href="../troubleshooting/mapjoin_classcastex.html">
             
                     
-                        <b>1.5.5.</b>
+                        <b>1.6.5.</b>
                     
-                    Map-side Join causes ClassCastException on Tez
+                    Map-side join causes ClassCastException on Tez
             
                 </a>
             
@@ -493,7 +508,7 @@
                     
                         <b>2.1.</b>
                     
-                    List of generic Hivemall functions
+                    List of Generic Hivemall Functions
             
                 </a>
             
@@ -508,7 +523,7 @@
                     
                         <b>2.2.</b>
                     
-                    Efficient Top-K query processing
+                    Efficient Top-K Query Processing
             
                 </a>
             
@@ -620,7 +635,7 @@
                     
                         <b>3.5.</b>
                     
-                    FEATURE PAIRING
+                    Feature Paring
             
                 </a>
             
@@ -636,7 +651,7 @@
                     
                         <b>3.5.1.</b>
                     
-                    Polynomial Features
+                    Polynomial features
             
                 </a>
             
@@ -656,7 +671,7 @@
                     
                         <b>3.6.</b>
                     
-                    FEATURE TRANSFORMATION
+                    Feature Transformation
             
                 </a>
             
@@ -672,7 +687,7 @@
                     
                         <b>3.6.1.</b>
                     
-                    Feature Vectorization
+                    Feature vectorization
             
                 </a>
             
@@ -745,7 +760,7 @@
                     
                         <b>4.1.1.</b>
                     
-                    Area Under the ROC Curve
+                    Area under the ROC curve
             
                 </a>
             
@@ -780,7 +795,7 @@
                     
                         <b>4.3.</b>
                     
-                    Regression metrics
+                    Regression Metrics
             
                 </a>
             
@@ -864,7 +879,7 @@
 
     
         
-        <li class="header">Part VI - Binary classification</li>
+        <li class="header">Part VI - Binary Classification</li>
         
         
     
@@ -890,7 +905,7 @@
                     
                         <b>6.2.</b>
                     
-                    a9a tutorial
+                    a9a Tutorial
             
                 </a>
             
@@ -936,7 +951,7 @@
                     
                         <b>6.2.3.</b>
                     
-                    Mini-batch Gradient Descent
+                    Mini-batch gradient descent
             
                 </a>
             
@@ -956,7 +971,7 @@
                     
                         <b>6.3.</b>
                     
-                    News20 tutorial
+                    News20 Tutorial
             
                 </a>
             
@@ -1052,7 +1067,7 @@
                     
                         <b>6.4.</b>
                     
-                    KDD2010a tutorial
+                    KDD2010a Tutorial
             
                 </a>
             
@@ -1103,7 +1118,7 @@
                     
                         <b>6.5.</b>
                     
-                    KDD2010b tutorial
+                    KDD2010b Tutorial
             
                 </a>
             
@@ -1154,7 +1169,7 @@
                     
                         <b>6.6.</b>
                     
-                    Webspam tutorial
+                    Webspam Tutorial
             
                 </a>
             
@@ -1205,7 +1220,7 @@
                     
                         <b>6.7.</b>
                     
-                    Kaggle Titanic tutorial
+                    Kaggle Titanic Tutorial
             
                 </a>
             
@@ -1216,7 +1231,7 @@
 
     
         
-        <li class="header">Part VII - Multiclass classification</li>
+        <li class="header">Part VII - Multiclass Classification</li>
         
         
     
@@ -1227,7 +1242,7 @@
                     
                         <b>7.1.</b>
                     
-                    News20 Multiclass tutorial
+                    News20 Multiclass Tutorial
             
                 </a>
             
@@ -1338,7 +1353,7 @@
                     
                         <b>7.2.</b>
                     
-                    Iris tutorial
+                    Iris Tutorial
             
                 </a>
             
@@ -1426,7 +1441,7 @@
                     
                         <b>8.2.</b>
                     
-                    E2006-tfidf regression tutorial
+                    E2006-tfidf Regression Tutorial
             
                 </a>
             
@@ -1477,7 +1492,7 @@
                     
                         <b>8.3.</b>
                     
-                    KDDCup 2012 track 2 CTR prediction tutorial
+                    KDDCup 2012 Track 2 CTR Prediction Tutorial
             
                 </a>
             
@@ -1523,7 +1538,7 @@
                     
                         <b>8.3.3.</b>
                     
-                    Logistic Regression with Amplifier
+                    Logistic Regression with amplifier
             
                 </a>
             
@@ -1581,7 +1596,7 @@
                     
                         <b>9.1.1.</b>
                     
-                    Item-based Collaborative Filtering
+                    Item-based collaborative filtering
             
                 </a>
             
@@ -1601,7 +1616,7 @@
                     
                         <b>9.2.</b>
                     
-                    News20 related article recommendation Tutorial
+                    News20 Related Article Recommendation Tutorial
             
                 </a>
             
@@ -1632,7 +1647,7 @@
                     
                         <b>9.2.2.</b>
                     
-                    LSH/Minhash and Jaccard Similarity
+                    LSH/MinHash and Jaccard similarity
             
                 </a>
             
@@ -1647,7 +1662,7 @@
                     
                         <b>9.2.3.</b>
                     
-                    LSH/Minhash and Brute-Force Search
+                    LSH/MinHash and brute-force search
             
                 </a>
             
@@ -1662,7 +1677,7 @@
                     
                         <b>9.2.4.</b>
                     
-                    kNN search using b-Bits Minhash
+                    kNN search using b-Bits MinHash
             
                 </a>
             
@@ -1682,7 +1697,7 @@
                     
                         <b>9.3.</b>
                     
-                    MovieLens movie recommendation Tutorial
+                    MovieLens Movie Recommendation Tutorial
             
                 </a>
             
@@ -1713,7 +1728,7 @@
                     
                         <b>9.3.2.</b>
                     
-                    Item-based Collaborative Filtering
+                    Item-based collaborative filtering
             
                 </a>
             
@@ -1758,7 +1773,7 @@
                     
                         <b>9.3.5.</b>
                     
-                    SLIM for Fast Top-K Recommendation
+                    SLIM for fast top-k recommendation
             
                 </a>
             
@@ -1773,7 +1788,7 @@
                     
                         <b>9.3.6.</b>
                     
-                    10-fold Cross Validation (Matrix Factorization)
+                    10-fold cross validation (Matrix Factorization)
             
                 </a>
             
@@ -1878,7 +1893,7 @@
 
     
         
-        <li class="header">Part XII - GeoSpatial functions</li>
+        <li class="header">Part XII - GeoSpatial Functions</li>
         
         
     
@@ -1963,7 +1978,7 @@
                     
                         <b>13.2.1.</b>
                     
-                    a9a Tutorial for DataFrame
+                    a9a tutorial for DataFrame
             
                 </a>
             
@@ -1978,7 +1993,7 @@
                     
                         <b>13.2.2.</b>
                     
-                    a9a Tutorial for SQL
+                    a9a tutorial for SQL
             
                 </a>
             
@@ -2014,7 +2029,7 @@
                     
                         <b>13.3.1.</b>
                     
-                    E2006-tfidf regression Tutorial for DataFrame
+                    E2006-tfidf regression tutorial for DataFrame
             
                 </a>
             
@@ -2029,7 +2044,7 @@
                     
                         <b>13.3.2.</b>
                     
-                    E2006-tfidf regression Tutorial for SQL
+                    E2006-tfidf regression tutorial for SQL
             
                 </a>
             
@@ -2065,7 +2080,7 @@
                     
                         <b>13.4.1.</b>
                     
-                    Top-k Join processing
+                    Top-k join processing
             
                 </a>
             
@@ -2124,25 +2139,10 @@
     
         <li class="chapter " data-level="15.1" >
             
-                <a target="_blank" 
href="https://github.com/maropu/hivemall-spark";>
-            
-                    
-                        <b>15.1.</b>
-                    
-                    Hivemall on Apache Spark
-            
-                </a>
-            
-
-            
-        </li>
-    
-        <li class="chapter " data-level="15.2" >
-            
                 <a target="_blank" 
href="https://github.com/daijyc/hivemall/wiki/PigHome";>
             
                     
-                        <b>15.2.</b>
+                        <b>15.1.</b>
                     
                     Hivemall on Apache Pig
             
@@ -2182,7 +2182,7 @@
     <!-- Title -->
     <h1>
         <i class="fa fa-circle-o-notch fa-spin"></i>
-        <a href=".." >Webspam tutorial</a>
+        <a href=".." >Webspam Tutorial</a>
     </h1>
 </div>
 
@@ -2270,7 +2270,7 @@ Apache Hivemall is an effort undergoing incubation at The 
Apache Software Founda
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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/b8a847fa/userguide/binaryclass/webspam_dataset.html
----------------------------------------------------------------------
diff --git a/userguide/binaryclass/webspam_dataset.html 
b/userguide/binaryclass/webspam_dataset.html
index f3895f2..f801f9a 100644
--- a/userguide/binaryclass/webspam_dataset.html
+++ b/userguide/binaryclass/webspam_dataset.html
@@ -221,13 +221,28 @@
             
         </li>
     
-        <li class="chapter " data-level="1.3" data-path="../tips/">
+        <li class="chapter " data-level="1.3" data-path="../misc/funcs.html">
             
-                <a href="../tips/">
+                <a href="../misc/funcs.html">
             
                     
                         <b>1.3.</b>
                     
+                    List of Functions
+            
+                </a>
+            
+
+            
+        </li>
+    
+        <li class="chapter " data-level="1.4" data-path="../tips/">
+            
+                <a href="../tips/">
+            
+                    
+                        <b>1.4.</b>
+                    
                     Tips for Effective Hivemall
             
                 </a>
@@ -237,12 +252,12 @@
             <ul class="articles">
                 
     
-        <li class="chapter " data-level="1.3.1" 
data-path="../tips/addbias.html">
+        <li class="chapter " data-level="1.4.1" 
data-path="../tips/addbias.html">
             
                 <a href="../tips/addbias.html">
             
                     
-                        <b>1.3.1.</b>
+                        <b>1.4.1.</b>
                     
                     Explicit add_bias() for better prediction
             
@@ -252,12 +267,12 @@
             
         </li>
     
-        <li class="chapter " data-level="1.3.2" 
data-path="../tips/rand_amplify.html">
+        <li class="chapter " data-level="1.4.2" 
data-path="../tips/rand_amplify.html">
             
                 <a href="../tips/rand_amplify.html">
             
                     
-                        <b>1.3.2.</b>
+                        <b>1.4.2.</b>
                     
                     Use rand_amplify() to better prediction results
             
@@ -267,14 +282,14 @@
             
         </li>
     
-        <li class="chapter " data-level="1.3.3" 
data-path="../tips/rt_prediction.html">
+        <li class="chapter " data-level="1.4.3" 
data-path="../tips/rt_prediction.html">
             
                 <a href="../tips/rt_prediction.html">
             
                     
-                        <b>1.3.3.</b>
+                        <b>1.4.3.</b>
                     
-                    Real-time Prediction on RDBMS
+                    Real-time prediction on RDBMS
             
                 </a>
             
@@ -282,12 +297,12 @@
             
         </li>
     
-        <li class="chapter " data-level="1.3.4" 
data-path="../tips/ensemble_learning.html">
+        <li class="chapter " data-level="1.4.4" 
data-path="../tips/ensemble_learning.html">
             
                 <a href="../tips/ensemble_learning.html">
             
                     
-                        <b>1.3.4.</b>
+                        <b>1.4.4.</b>
                     
                     Ensemble learning for stable prediction
             
@@ -297,12 +312,12 @@
             
         </li>
     
-        <li class="chapter " data-level="1.3.5" 
data-path="../tips/mixserver.html">
+        <li class="chapter " data-level="1.4.5" 
data-path="../tips/mixserver.html">
             
                 <a href="../tips/mixserver.html">
             
                     
-                        <b>1.3.5.</b>
+                        <b>1.4.5.</b>
                     
                     Mixing models for a better prediction convergence (MIX 
server)
             
@@ -312,12 +327,12 @@
             
         </li>
     
-        <li class="chapter " data-level="1.3.6" data-path="../tips/emr.html">
+        <li class="chapter " data-level="1.4.6" data-path="../tips/emr.html">
             
                 <a href="../tips/emr.html">
             
                     
-                        <b>1.3.6.</b>
+                        <b>1.4.6.</b>
                     
                     Run Hivemall on Amazon Elastic MapReduce
             
@@ -332,14 +347,14 @@
             
         </li>
     
-        <li class="chapter " data-level="1.4" 
data-path="../tips/general_tips.html">
+        <li class="chapter " data-level="1.5" 
data-path="../tips/general_tips.html">
             
                 <a href="../tips/general_tips.html">
             
                     
-                        <b>1.4.</b>
+                        <b>1.5.</b>
                     
-                    General Hive/Hadoop tips
+                    General Hive/Hadoop Tips
             
                 </a>
             
@@ -348,12 +363,12 @@
             <ul class="articles">
                 
     
-        <li class="chapter " data-level="1.4.1" data-path="../tips/rowid.html">
+        <li class="chapter " data-level="1.5.1" data-path="../tips/rowid.html">
             
                 <a href="../tips/rowid.html">
             
                     
-                        <b>1.4.1.</b>
+                        <b>1.5.1.</b>
                     
                     Adding rowid for each row
             
@@ -363,12 +378,12 @@
             
         </li>
     
-        <li class="chapter " data-level="1.4.2" 
data-path="../tips/hadoop_tuning.html">
+        <li class="chapter " data-level="1.5.2" 
data-path="../tips/hadoop_tuning.html">
             
                 <a href="../tips/hadoop_tuning.html">
             
                     
-                        <b>1.4.2.</b>
+                        <b>1.5.2.</b>
                     
                     Hadoop tuning for Hivemall
             
@@ -383,12 +398,12 @@
             
         </li>
     
-        <li class="chapter " data-level="1.5" data-path="../troubleshooting/">
+        <li class="chapter " data-level="1.6" data-path="../troubleshooting/">
             
                 <a href="../troubleshooting/">
             
                     
-                        <b>1.5.</b>
+                        <b>1.6.</b>
                     
                     Troubleshooting
             
@@ -399,12 +414,12 @@
             <ul class="articles">
                 
     
-        <li class="chapter " data-level="1.5.1" 
data-path="../troubleshooting/oom.html">
+        <li class="chapter " data-level="1.6.1" 
data-path="../troubleshooting/oom.html">
             
                 <a href="../troubleshooting/oom.html">
             
                     
-                        <b>1.5.1.</b>
+                        <b>1.6.1.</b>
                     
                     OutOfMemoryError in training
             
@@ -414,14 +429,14 @@
             
         </li>
     
-        <li class="chapter " data-level="1.5.2" 
data-path="../troubleshooting/mapjoin_task_error.html">
+        <li class="chapter " data-level="1.6.2" 
data-path="../troubleshooting/mapjoin_task_error.html">
             
                 <a href="../troubleshooting/mapjoin_task_error.html">
             
                     
-                        <b>1.5.2.</b>
+                        <b>1.6.2.</b>
                     
-                    SemanticException Generate Map Join Task Error: Cannot 
serialize object
+                    SemanticException generate map join task error: Cannot 
serialize object
             
                 </a>
             
@@ -429,12 +444,12 @@
             
         </li>
     
-        <li class="chapter " data-level="1.5.3" 
data-path="../troubleshooting/asterisk.html">
+        <li class="chapter " data-level="1.6.3" 
data-path="../troubleshooting/asterisk.html">
             
                 <a href="../troubleshooting/asterisk.html">
             
                     
-                        <b>1.5.3.</b>
+                        <b>1.6.3.</b>
                     
                     Asterisk argument for UDTF does not work
             
@@ -444,12 +459,12 @@
             
         </li>
     
-        <li class="chapter " data-level="1.5.4" 
data-path="../troubleshooting/num_mappers.html">
+        <li class="chapter " data-level="1.6.4" 
data-path="../troubleshooting/num_mappers.html">
             
                 <a href="../troubleshooting/num_mappers.html">
             
                     
-                        <b>1.5.4.</b>
+                        <b>1.6.4.</b>
                     
                     The number of mappers is less than input splits in Hadoop 
2.x
             
@@ -459,14 +474,14 @@
             
         </li>
     
-        <li class="chapter " data-level="1.5.5" 
data-path="../troubleshooting/mapjoin_classcastex.html">
+        <li class="chapter " data-level="1.6.5" 
data-path="../troubleshooting/mapjoin_classcastex.html">
             
                 <a href="../troubleshooting/mapjoin_classcastex.html">
             
                     
-                        <b>1.5.5.</b>
+                        <b>1.6.5.</b>
                     
-                    Map-side Join causes ClassCastException on Tez
+                    Map-side join causes ClassCastException on Tez
             
                 </a>
             
@@ -493,7 +508,7 @@
                     
                         <b>2.1.</b>
                     
-                    List of generic Hivemall functions
+                    List of Generic Hivemall Functions
             
                 </a>
             
@@ -508,7 +523,7 @@
                     
                         <b>2.2.</b>
                     
-                    Efficient Top-K query processing
+                    Efficient Top-K Query Processing
             
                 </a>
             
@@ -620,7 +635,7 @@
                     
                         <b>3.5.</b>
                     
-                    FEATURE PAIRING
+                    Feature Paring
             
                 </a>
             
@@ -636,7 +651,7 @@
                     
                         <b>3.5.1.</b>
                     
-                    Polynomial Features
+                    Polynomial features
             
                 </a>
             
@@ -656,7 +671,7 @@
                     
                         <b>3.6.</b>
                     
-                    FEATURE TRANSFORMATION
+                    Feature Transformation
             
                 </a>
             
@@ -672,7 +687,7 @@
                     
                         <b>3.6.1.</b>
                     
-                    Feature Vectorization
+                    Feature vectorization
             
                 </a>
             
@@ -745,7 +760,7 @@
                     
                         <b>4.1.1.</b>
                     
-                    Area Under the ROC Curve
+                    Area under the ROC curve
             
                 </a>
             
@@ -780,7 +795,7 @@
                     
                         <b>4.3.</b>
                     
-                    Regression metrics
+                    Regression Metrics
             
                 </a>
             
@@ -864,7 +879,7 @@
 
     
         
-        <li class="header">Part VI - Binary classification</li>
+        <li class="header">Part VI - Binary Classification</li>
         
         
     
@@ -890,7 +905,7 @@
                     
                         <b>6.2.</b>
                     
-                    a9a tutorial
+                    a9a Tutorial
             
                 </a>
             
@@ -936,7 +951,7 @@
                     
                         <b>6.2.3.</b>
                     
-                    Mini-batch Gradient Descent
+                    Mini-batch gradient descent
             
                 </a>
             
@@ -956,7 +971,7 @@
                     
                         <b>6.3.</b>
                     
-                    News20 tutorial
+                    News20 Tutorial
             
                 </a>
             
@@ -1052,7 +1067,7 @@
                     
                         <b>6.4.</b>
                     
-                    KDD2010a tutorial
+                    KDD2010a Tutorial
             
                 </a>
             
@@ -1103,7 +1118,7 @@
                     
                         <b>6.5.</b>
                     
-                    KDD2010b tutorial
+                    KDD2010b Tutorial
             
                 </a>
             
@@ -1154,7 +1169,7 @@
                     
                         <b>6.6.</b>
                     
-                    Webspam tutorial
+                    Webspam Tutorial
             
                 </a>
             
@@ -1205,7 +1220,7 @@
                     
                         <b>6.7.</b>
                     
-                    Kaggle Titanic tutorial
+                    Kaggle Titanic Tutorial
             
                 </a>
             
@@ -1216,7 +1231,7 @@
 
     
         
-        <li class="header">Part VII - Multiclass classification</li>
+        <li class="header">Part VII - Multiclass Classification</li>
         
         
     
@@ -1227,7 +1242,7 @@
                     
                         <b>7.1.</b>
                     
-                    News20 Multiclass tutorial
+                    News20 Multiclass Tutorial
             
                 </a>
             
@@ -1338,7 +1353,7 @@
                     
                         <b>7.2.</b>
                     
-                    Iris tutorial
+                    Iris Tutorial
             
                 </a>
             
@@ -1426,7 +1441,7 @@
                     
                         <b>8.2.</b>
                     
-                    E2006-tfidf regression tutorial
+                    E2006-tfidf Regression Tutorial
             
                 </a>
             
@@ -1477,7 +1492,7 @@
                     
                         <b>8.3.</b>
                     
-                    KDDCup 2012 track 2 CTR prediction tutorial
+                    KDDCup 2012 Track 2 CTR Prediction Tutorial
             
                 </a>
             
@@ -1523,7 +1538,7 @@
                     
                         <b>8.3.3.</b>
                     
-                    Logistic Regression with Amplifier
+                    Logistic Regression with amplifier
             
                 </a>
             
@@ -1581,7 +1596,7 @@
                     
                         <b>9.1.1.</b>
                     
-                    Item-based Collaborative Filtering
+                    Item-based collaborative filtering
             
                 </a>
             
@@ -1601,7 +1616,7 @@
                     
                         <b>9.2.</b>
                     
-                    News20 related article recommendation Tutorial
+                    News20 Related Article Recommendation Tutorial
             
                 </a>
             
@@ -1632,7 +1647,7 @@
                     
                         <b>9.2.2.</b>
                     
-                    LSH/Minhash and Jaccard Similarity
+                    LSH/MinHash and Jaccard similarity
             
                 </a>
             
@@ -1647,7 +1662,7 @@
                     
                         <b>9.2.3.</b>
                     
-                    LSH/Minhash and Brute-Force Search
+                    LSH/MinHash and brute-force search
             
                 </a>
             
@@ -1662,7 +1677,7 @@
                     
                         <b>9.2.4.</b>
                     
-                    kNN search using b-Bits Minhash
+                    kNN search using b-Bits MinHash
             
                 </a>
             
@@ -1682,7 +1697,7 @@
                     
                         <b>9.3.</b>
                     
-                    MovieLens movie recommendation Tutorial
+                    MovieLens Movie Recommendation Tutorial
             
                 </a>
             
@@ -1713,7 +1728,7 @@
                     
                         <b>9.3.2.</b>
                     
-                    Item-based Collaborative Filtering
+                    Item-based collaborative filtering
             
                 </a>
             
@@ -1758,7 +1773,7 @@
                     
                         <b>9.3.5.</b>
                     
-                    SLIM for Fast Top-K Recommendation
+                    SLIM for fast top-k recommendation
             
                 </a>
             
@@ -1773,7 +1788,7 @@
                     
                         <b>9.3.6.</b>
                     
-                    10-fold Cross Validation (Matrix Factorization)
+                    10-fold cross validation (Matrix Factorization)
             
                 </a>
             
@@ -1878,7 +1893,7 @@
 
     
         
-        <li class="header">Part XII - GeoSpatial functions</li>
+        <li class="header">Part XII - GeoSpatial Functions</li>
         
         
     
@@ -1963,7 +1978,7 @@
                     
                         <b>13.2.1.</b>
                     
-                    a9a Tutorial for DataFrame
+                    a9a tutorial for DataFrame
             
                 </a>
             
@@ -1978,7 +1993,7 @@
                     
                         <b>13.2.2.</b>
                     
-                    a9a Tutorial for SQL
+                    a9a tutorial for SQL
             
                 </a>
             
@@ -2014,7 +2029,7 @@
                     
                         <b>13.3.1.</b>
                     
-                    E2006-tfidf regression Tutorial for DataFrame
+                    E2006-tfidf regression tutorial for DataFrame
             
                 </a>
             
@@ -2029,7 +2044,7 @@
                     
                         <b>13.3.2.</b>
                     
-                    E2006-tfidf regression Tutorial for SQL
+                    E2006-tfidf regression tutorial for SQL
             
                 </a>
             
@@ -2065,7 +2080,7 @@
                     
                         <b>13.4.1.</b>
                     
-                    Top-k Join processing
+                    Top-k join processing
             
                 </a>
             
@@ -2124,25 +2139,10 @@
     
         <li class="chapter " data-level="15.1" >
             
-                <a target="_blank" 
href="https://github.com/maropu/hivemall-spark";>
-            
-                    
-                        <b>15.1.</b>
-                    
-                    Hivemall on Apache Spark
-            
-                </a>
-            
-
-            
-        </li>
-    
-        <li class="chapter " data-level="15.2" >
-            
                 <a target="_blank" 
href="https://github.com/daijyc/hivemall/wiki/PigHome";>
             
                     
-                        <b>15.2.</b>
+                        <b>15.1.</b>
                     
                     Hivemall on Apache Pig
             
@@ -2340,7 +2340,7 @@ Apache Hivemall is an effort undergoing incubation at The 
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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/b8a847fa/userguide/binaryclass/webspam_scw.html
----------------------------------------------------------------------
diff --git a/userguide/binaryclass/webspam_scw.html 
b/userguide/binaryclass/webspam_scw.html
index 30423ff..d7823c4 100644
--- a/userguide/binaryclass/webspam_scw.html
+++ b/userguide/binaryclass/webspam_scw.html
@@ -221,13 +221,28 @@
             
         </li>
     
-        <li class="chapter " data-level="1.3" data-path="../tips/">
+        <li class="chapter " data-level="1.3" data-path="../misc/funcs.html">
             
-                <a href="../tips/">
+                <a href="../misc/funcs.html">
             
                     
                         <b>1.3.</b>
                     
+                    List of Functions
+            
+                </a>
+            
+
+            
+        </li>
+    
+        <li class="chapter " data-level="1.4" data-path="../tips/">
+            
+                <a href="../tips/">
+            
+                    
+                        <b>1.4.</b>
+                    
                     Tips for Effective Hivemall
             
                 </a>
@@ -237,12 +252,12 @@
             <ul class="articles">
                 
     
-        <li class="chapter " data-level="1.3.1" 
data-path="../tips/addbias.html">
+        <li class="chapter " data-level="1.4.1" 
data-path="../tips/addbias.html">
             
                 <a href="../tips/addbias.html">
             
                     
-                        <b>1.3.1.</b>
+                        <b>1.4.1.</b>
                     
                     Explicit add_bias() for better prediction
             
@@ -252,12 +267,12 @@
             
         </li>
     
-        <li class="chapter " data-level="1.3.2" 
data-path="../tips/rand_amplify.html">
+        <li class="chapter " data-level="1.4.2" 
data-path="../tips/rand_amplify.html">
             
                 <a href="../tips/rand_amplify.html">
             
                     
-                        <b>1.3.2.</b>
+                        <b>1.4.2.</b>
                     
                     Use rand_amplify() to better prediction results
             
@@ -267,14 +282,14 @@
             
         </li>
     
-        <li class="chapter " data-level="1.3.3" 
data-path="../tips/rt_prediction.html">
+        <li class="chapter " data-level="1.4.3" 
data-path="../tips/rt_prediction.html">
             
                 <a href="../tips/rt_prediction.html">
             
                     
-                        <b>1.3.3.</b>
+                        <b>1.4.3.</b>
                     
-                    Real-time Prediction on RDBMS
+                    Real-time prediction on RDBMS
             
                 </a>
             
@@ -282,12 +297,12 @@
             
         </li>
     
-        <li class="chapter " data-level="1.3.4" 
data-path="../tips/ensemble_learning.html">
+        <li class="chapter " data-level="1.4.4" 
data-path="../tips/ensemble_learning.html">
             
                 <a href="../tips/ensemble_learning.html">
             
                     
-                        <b>1.3.4.</b>
+                        <b>1.4.4.</b>
                     
                     Ensemble learning for stable prediction
             
@@ -297,12 +312,12 @@
             
         </li>
     
-        <li class="chapter " data-level="1.3.5" 
data-path="../tips/mixserver.html">
+        <li class="chapter " data-level="1.4.5" 
data-path="../tips/mixserver.html">
             
                 <a href="../tips/mixserver.html">
             
                     
-                        <b>1.3.5.</b>
+                        <b>1.4.5.</b>
                     
                     Mixing models for a better prediction convergence (MIX 
server)
             
@@ -312,12 +327,12 @@
             
         </li>
     
-        <li class="chapter " data-level="1.3.6" data-path="../tips/emr.html">
+        <li class="chapter " data-level="1.4.6" data-path="../tips/emr.html">
             
                 <a href="../tips/emr.html">
             
                     
-                        <b>1.3.6.</b>
+                        <b>1.4.6.</b>
                     
                     Run Hivemall on Amazon Elastic MapReduce
             
@@ -332,14 +347,14 @@
             
         </li>
     
-        <li class="chapter " data-level="1.4" 
data-path="../tips/general_tips.html">
+        <li class="chapter " data-level="1.5" 
data-path="../tips/general_tips.html">
             
                 <a href="../tips/general_tips.html">
             
                     
-                        <b>1.4.</b>
+                        <b>1.5.</b>
                     
-                    General Hive/Hadoop tips
+                    General Hive/Hadoop Tips
             
                 </a>
             
@@ -348,12 +363,12 @@
             <ul class="articles">
                 
     
-        <li class="chapter " data-level="1.4.1" data-path="../tips/rowid.html">
+        <li class="chapter " data-level="1.5.1" data-path="../tips/rowid.html">
             
                 <a href="../tips/rowid.html">
             
                     
-                        <b>1.4.1.</b>
+                        <b>1.5.1.</b>
                     
                     Adding rowid for each row
             
@@ -363,12 +378,12 @@
             
         </li>
     
-        <li class="chapter " data-level="1.4.2" 
data-path="../tips/hadoop_tuning.html">
+        <li class="chapter " data-level="1.5.2" 
data-path="../tips/hadoop_tuning.html">
             
                 <a href="../tips/hadoop_tuning.html">
             
                     
-                        <b>1.4.2.</b>
+                        <b>1.5.2.</b>
                     
                     Hadoop tuning for Hivemall
             
@@ -383,12 +398,12 @@
             
         </li>
     
-        <li class="chapter " data-level="1.5" data-path="../troubleshooting/">
+        <li class="chapter " data-level="1.6" data-path="../troubleshooting/">
             
                 <a href="../troubleshooting/">
             
                     
-                        <b>1.5.</b>
+                        <b>1.6.</b>
                     
                     Troubleshooting
             
@@ -399,12 +414,12 @@
             <ul class="articles">
                 
     
-        <li class="chapter " data-level="1.5.1" 
data-path="../troubleshooting/oom.html">
+        <li class="chapter " data-level="1.6.1" 
data-path="../troubleshooting/oom.html">
             
                 <a href="../troubleshooting/oom.html">
             
                     
-                        <b>1.5.1.</b>
+                        <b>1.6.1.</b>
                     
                     OutOfMemoryError in training
             
@@ -414,14 +429,14 @@
             
         </li>
     
-        <li class="chapter " data-level="1.5.2" 
data-path="../troubleshooting/mapjoin_task_error.html">
+        <li class="chapter " data-level="1.6.2" 
data-path="../troubleshooting/mapjoin_task_error.html">
             
                 <a href="../troubleshooting/mapjoin_task_error.html">
             
                     
-                        <b>1.5.2.</b>
+                        <b>1.6.2.</b>
                     
-                    SemanticException Generate Map Join Task Error: Cannot 
serialize object
+                    SemanticException generate map join task error: Cannot 
serialize object
             
                 </a>
             
@@ -429,12 +444,12 @@
             
         </li>
     
-        <li class="chapter " data-level="1.5.3" 
data-path="../troubleshooting/asterisk.html">
+        <li class="chapter " data-level="1.6.3" 
data-path="../troubleshooting/asterisk.html">
             
                 <a href="../troubleshooting/asterisk.html">
             
                     
-                        <b>1.5.3.</b>
+                        <b>1.6.3.</b>
                     
                     Asterisk argument for UDTF does not work
             
@@ -444,12 +459,12 @@
             
         </li>
     
-        <li class="chapter " data-level="1.5.4" 
data-path="../troubleshooting/num_mappers.html">
+        <li class="chapter " data-level="1.6.4" 
data-path="../troubleshooting/num_mappers.html">
             
                 <a href="../troubleshooting/num_mappers.html">
             
                     
-                        <b>1.5.4.</b>
+                        <b>1.6.4.</b>
                     
                     The number of mappers is less than input splits in Hadoop 
2.x
             
@@ -459,14 +474,14 @@
             
         </li>
     
-        <li class="chapter " data-level="1.5.5" 
data-path="../troubleshooting/mapjoin_classcastex.html">
+        <li class="chapter " data-level="1.6.5" 
data-path="../troubleshooting/mapjoin_classcastex.html">
             
                 <a href="../troubleshooting/mapjoin_classcastex.html">
             
                     
-                        <b>1.5.5.</b>
+                        <b>1.6.5.</b>
                     
-                    Map-side Join causes ClassCastException on Tez
+                    Map-side join causes ClassCastException on Tez
             
                 </a>
             
@@ -493,7 +508,7 @@
                     
                         <b>2.1.</b>
                     
-                    List of generic Hivemall functions
+                    List of Generic Hivemall Functions
             
                 </a>
             
@@ -508,7 +523,7 @@
                     
                         <b>2.2.</b>
                     
-                    Efficient Top-K query processing
+                    Efficient Top-K Query Processing
             
                 </a>
             
@@ -620,7 +635,7 @@
                     
                         <b>3.5.</b>
                     
-                    FEATURE PAIRING
+                    Feature Paring
             
                 </a>
             
@@ -636,7 +651,7 @@
                     
                         <b>3.5.1.</b>
                     
-                    Polynomial Features
+                    Polynomial features
             
                 </a>
             
@@ -656,7 +671,7 @@
                     
                         <b>3.6.</b>
                     
-                    FEATURE TRANSFORMATION
+                    Feature Transformation
             
                 </a>
             
@@ -672,7 +687,7 @@
                     
                         <b>3.6.1.</b>
                     
-                    Feature Vectorization
+                    Feature vectorization
             
                 </a>
             
@@ -745,7 +760,7 @@
                     
                         <b>4.1.1.</b>
                     
-                    Area Under the ROC Curve
+                    Area under the ROC curve
             
                 </a>
             
@@ -780,7 +795,7 @@
                     
                         <b>4.3.</b>
                     
-                    Regression metrics
+                    Regression Metrics
             
                 </a>
             
@@ -864,7 +879,7 @@
 
     
         
-        <li class="header">Part VI - Binary classification</li>
+        <li class="header">Part VI - Binary Classification</li>
         
         
     
@@ -890,7 +905,7 @@
                     
                         <b>6.2.</b>
                     
-                    a9a tutorial
+                    a9a Tutorial
             
                 </a>
             
@@ -936,7 +951,7 @@
                     
                         <b>6.2.3.</b>
                     
-                    Mini-batch Gradient Descent
+                    Mini-batch gradient descent
             
                 </a>
             
@@ -956,7 +971,7 @@
                     
                         <b>6.3.</b>
                     
-                    News20 tutorial
+                    News20 Tutorial
             
                 </a>
             
@@ -1052,7 +1067,7 @@
                     
                         <b>6.4.</b>
                     
-                    KDD2010a tutorial
+                    KDD2010a Tutorial
             
                 </a>
             
@@ -1103,7 +1118,7 @@
                     
                         <b>6.5.</b>
                     
-                    KDD2010b tutorial
+                    KDD2010b Tutorial
             
                 </a>
             
@@ -1154,7 +1169,7 @@
                     
                         <b>6.6.</b>
                     
-                    Webspam tutorial
+                    Webspam Tutorial
             
                 </a>
             
@@ -1205,7 +1220,7 @@
                     
                         <b>6.7.</b>
                     
-                    Kaggle Titanic tutorial
+                    Kaggle Titanic Tutorial
             
                 </a>
             
@@ -1216,7 +1231,7 @@
 
     
         
-        <li class="header">Part VII - Multiclass classification</li>
+        <li class="header">Part VII - Multiclass Classification</li>
         
         
     
@@ -1227,7 +1242,7 @@
                     
                         <b>7.1.</b>
                     
-                    News20 Multiclass tutorial
+                    News20 Multiclass Tutorial
             
                 </a>
             
@@ -1338,7 +1353,7 @@
                     
                         <b>7.2.</b>
                     
-                    Iris tutorial
+                    Iris Tutorial
             
                 </a>
             
@@ -1426,7 +1441,7 @@
                     
                         <b>8.2.</b>
                     
-                    E2006-tfidf regression tutorial
+                    E2006-tfidf Regression Tutorial
             
                 </a>
             
@@ -1477,7 +1492,7 @@
                     
                         <b>8.3.</b>
                     
-                    KDDCup 2012 track 2 CTR prediction tutorial
+                    KDDCup 2012 Track 2 CTR Prediction Tutorial
             
                 </a>
             
@@ -1523,7 +1538,7 @@
                     
                         <b>8.3.3.</b>
                     
-                    Logistic Regression with Amplifier
+                    Logistic Regression with amplifier
             
                 </a>
             
@@ -1581,7 +1596,7 @@
                     
                         <b>9.1.1.</b>
                     
-                    Item-based Collaborative Filtering
+                    Item-based collaborative filtering
             
                 </a>
             
@@ -1601,7 +1616,7 @@
                     
                         <b>9.2.</b>
                     
-                    News20 related article recommendation Tutorial
+                    News20 Related Article Recommendation Tutorial
             
                 </a>
             
@@ -1632,7 +1647,7 @@
                     
                         <b>9.2.2.</b>
                     
-                    LSH/Minhash and Jaccard Similarity
+                    LSH/MinHash and Jaccard similarity
             
                 </a>
             
@@ -1647,7 +1662,7 @@
                     
                         <b>9.2.3.</b>
                     
-                    LSH/Minhash and Brute-Force Search
+                    LSH/MinHash and brute-force search
             
                 </a>
             
@@ -1662,7 +1677,7 @@
                     
                         <b>9.2.4.</b>
                     
-                    kNN search using b-Bits Minhash
+                    kNN search using b-Bits MinHash
             
                 </a>
             
@@ -1682,7 +1697,7 @@
                     
                         <b>9.3.</b>
                     
-                    MovieLens movie recommendation Tutorial
+                    MovieLens Movie Recommendation Tutorial
             
                 </a>
             
@@ -1713,7 +1728,7 @@
                     
                         <b>9.3.2.</b>
                     
-                    Item-based Collaborative Filtering
+                    Item-based collaborative filtering
             
                 </a>
             
@@ -1758,7 +1773,7 @@
                     
                         <b>9.3.5.</b>
                     
-                    SLIM for Fast Top-K Recommendation
+                    SLIM for fast top-k recommendation
             
                 </a>
             
@@ -1773,7 +1788,7 @@
                     
                         <b>9.3.6.</b>
                     
-                    10-fold Cross Validation (Matrix Factorization)
+                    10-fold cross validation (Matrix Factorization)
             
                 </a>
             
@@ -1878,7 +1893,7 @@
 
     
         
-        <li class="header">Part XII - GeoSpatial functions</li>
+        <li class="header">Part XII - GeoSpatial Functions</li>
         
         
     
@@ -1963,7 +1978,7 @@
                     
                         <b>13.2.1.</b>
                     
-                    a9a Tutorial for DataFrame
+                    a9a tutorial for DataFrame
             
                 </a>
             
@@ -1978,7 +1993,7 @@
                     
                         <b>13.2.2.</b>
                     
-                    a9a Tutorial for SQL
+                    a9a tutorial for SQL
             
                 </a>
             
@@ -2014,7 +2029,7 @@
                     
                         <b>13.3.1.</b>
                     
-                    E2006-tfidf regression Tutorial for DataFrame
+                    E2006-tfidf regression tutorial for DataFrame
             
                 </a>
             
@@ -2029,7 +2044,7 @@
                     
                         <b>13.3.2.</b>
                     
-                    E2006-tfidf regression Tutorial for SQL
+                    E2006-tfidf regression tutorial for SQL
             
                 </a>
             
@@ -2065,7 +2080,7 @@
                     
                         <b>13.4.1.</b>
                     
-                    Top-k Join processing
+                    Top-k join processing
             
                 </a>
             
@@ -2124,25 +2139,10 @@
     
         <li class="chapter " data-level="15.1" >
             
-                <a target="_blank" 
href="https://github.com/maropu/hivemall-spark";>
-            
-                    
-                        <b>15.1.</b>
-                    
-                    Hivemall on Apache Spark
-            
-                </a>
-            
-
-            
-        </li>
-    
-        <li class="chapter " data-level="15.2" >
-            
                 <a target="_blank" 
href="https://github.com/daijyc/hivemall/wiki/PigHome";>
             
                     
-                        <b>15.2.</b>
+                        <b>15.1.</b>
                     
                     Hivemall on Apache Pig
             
@@ -2400,7 +2400,7 @@ Apache Hivemall is an effort undergoing incubation at The 
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