Serega,
See the last line on how to pass outputPathForSimilarityMatrix options to the
recommenditembased command:
sudo -u oozie mahout recommenditembased \
--input visited_items_with_inverted_items \
--output result \
--similarityClassname SIMILARITY_LOGLIKELIHOOD \
--usersFile inverted_items \
--numRecommendations 500 \
--booleanData false \
--maxPrefsPerUser 100 \
--maxSimilaritiesPerItem 500 \
--minPrefsPerUser 0\
--maxPrefsPerUserInItemSimilarity 30 \
--threshold 0.91 \
--tempDir temp \
--outputPathForSimilarityMatrix similarityMatri \
Peng Zhang
[email protected]
On Jul 21, 2014, at 3:09 PM, Serega Sheypak <[email protected]> wrote:
> I've inspected the code, our approach wouldn't work with booleanData=false.
> We do calcualte imte similarity in the wrong way...(((
> Thank you
> 1. We provide "fake" user_id and provide --usersFile in order to get
> recommendations for "fake user_id, where user_id is a negative item_id. It
> worked when we did provide user_id->item_id pairs without preference.
> 2. Our target is to get item similarities. We tried
> org.apache.mahout.cf.taste.hadoop.similarity.item.ItemSimilarityJob but it
> returns bad result comparing to RecommenderJob with our "fake" user_id
> (inverted item_id)
>
> 1. I'll try the option you provided.
> 2. I will remove input with fake user_id and usersFile with these fake ids
>
> 3.
> https://github.com/apache/mahout/blob/master/mrlegacy/src/main/java/org/apache/mahout/cf/taste/hadoop/item/RecommenderJob.java
> I don't understand how to pass ---outputPathForSimilarityMatrix option to
> RecommenderJob
>
>
> 2014-07-21 4:58 GMT+04:00 Peng Zhang <[email protected]>:
>
>> Seraga,
>>
>> I have two comments:
>> 1. Don’t use negative user ids. Since Mahout uses user id as well as item
>> id as the row/column index, you’d better use 0, 1, 2, etc as ids
>> 2. If you want to get the item similarity information, you can use
>> --outputPathForSimilarityMatrix in the command
>>
>> Regards,
>> Peng Zhang
>> M: +86 186-1658-7856
>> [email protected]
>>
>>
>>
>>
>>
>> On Jul 21, 2014, at 4:00 AM, Serega Sheypak <[email protected]>
>> wrote:
>>
>>> All bad things happen here:
>>>
>>>
>>>
>>> Name
>>>
>>> RecommenderJob-PartialMultiplyMapper-Reducer
>>>
>>> User
>>>
>>> oozie
>>>
>>> Process User
>>>
>>> oozie
>>>
>>> Group
>>>
>>> oozie
>>>
>>> Mapper Class
>>>
>>> PartialMultiplyMapper
>>>
>>> Reducer Class
>>>
>>> AggregateAndRecommendReducer
>>>
>>>
>>> Job Input Directory
>>>
>>> hdfs://nameservice1/itemrec/temp/partialMultiply
>>>
>>> Job Output Directory
>>>
>>> hdfs://nameservice1/itemrec/output/
>>>
>>> 14/07/20 23:57:47 INFO mapred.JobClient: Map input records=3312879
>>>
>>> 14/07/20 23:57:47 INFO mapred.JobClient: Map output records=3313251
>>>
>>>
>>> 14/07/20 23:57:47 INFO mapred.JobClient: Reduce input records=3313251
>>>
>>> 14/07/20 23:57:47 INFO mapred.JobClient: Reduce output records=0
>>>
>>> Why does mahout returns 0 rows? it works when booleanData=true
>> (preferences
>>> are ignored...?)
>>>
>>>
>>>
>>> 2014-07-20 23:19 GMT+04:00 Serega Sheypak <[email protected]>:
>>>
>>>> the version is: CDH-4.7.0-1.cdh4.7.0.p0.40
>>>> users_file:
>>>> --inverted_item_id
>>>> -1
>>>> -2
>>>> -3
>>>> -4
>>>>
>>>> users_items_prefs
>>>> --inverted item_id
>>>> -1 1 1.0
>>>> -2 2 1.0
>>>> -3 3 1.0
>>>> -4 4 1.0
>>>> --user_id item_id pref_value
>>>> 11 1 1.6
>>>> 11 2 1.6
>>>> 123 3 2.0
>>>> 123 4 2.0
>>>> 333 1 2.0
>>>> 333 2 1.6
>>>> --e.t.c.
>>>>
>>>> if I set --booleanData true
>>>> then mahout returns the result.
>>>>
>>>>
>>>>
>>>>
>>>> 2014-07-20 23:12 GMT+04:00 Andrew Musselman <[email protected]
>>> :
>>>>
>>>> I'm confused about how you're constructing the user file, and why there
>>>>> are negated item ids here.
>>>>>
>>>>> Can you post some more details please, including Mahout version and
>> some
>>>>> sample data sets?
>>>>>
>>>>>> On Jul 20, 2014, at 11:57 AM, Serega Sheypak <
>> [email protected]>
>>>>> wrote:
>>>>>>
>>>>>> Hi, I'm trying to create item similarity.
>>>>>> I gather items which users visit during shopping and then create a
>> file:
>>>>>> user_id, item_id, weight (where weight can be: [1.0, 1.6, 1.9],
>> depends
>>>>> on
>>>>>> user action type and data source)
>>>>>> UNION
>>>>>> -item_id, item_id, 1.0 (from items dictionary)
>>>>>>
>>>>>> and I do provide a userFile, where user_id = -item_id
>>>>>>
>>>>>> The idea is to get item similary. If any user visits item named "A", i
>>>>> want
>>>>>> to show him items "B", "c", "xxx" using preferences of other users.
>>>>>>
>>>>>> The problem is that the last (???) mapreduce job returns 0 rows:
>>>>>>
>>>>>> Here are my settings:
>>>>>>
>>>>>>
>>>>>> sudo -u oozie mahout recommenditembased \
>>>>>> --input visited_items_with_inverted_items \
>>>>>>
>>>>>> --output result \
>>>>>> --similarityClassname SIMILARITY_LOGLIKELIHOOD \
>>>>>> --usersFile inverted_items \
>>>>>> --numRecommendations 500 \
>>>>>> --booleanData false \
>>>>>> --maxPrefsPerUser 100 \
>>>>>> --maxSimilaritiesPerItem 500 \
>>>>>> --minPrefsPerUser 0\
>>>>>> --maxPrefsPerUserInItemSimilarity 30 \
>>>>>> --threshold 0.91 \
>>>>>> --tempDir temp \
>>>>>>
>>>>>> Some counters... I don't get what do they mean....
>>>>>>
>>>>>> 14/07/20 22:43:08 INFO mapred.JobClient:
>>>>>> org.apache.mahout.cf.taste.hadoop.item.ToUserVectorsReducer$Counters
>>>>>>
>>>>>> 14/07/20 22:43:08 INFO mapred.JobClient: USERS=7528530
>>>>>>
>>>>>> 14/07/20 22:43:43 INFO mapred.JobClient:
>>>>>>
>>>>>
>> org.apache.mahout.cf.taste.hadoop.preparation.ToItemVectorsMapper$Elements
>>>>>>
>>>>>> 14/07/20 22:43:43 INFO mapred.JobClient:
>>>>>> USER_RATINGS_NEGLECTED=1,798,738
>>>>>>
>>>>>> 14/07/20 22:43:43 INFO mapred.JobClient:
>>>>> USER_RATINGS_USED=12,429,693
>>>>>>
>>>>>>
>>>>>> 14/07/20 22:44:24 INFO mapred.JobClient:
>>>>>>
>>>>>
>> org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob$Counters
>>>>>>
>>>>>> 14/07/20 22:44:24 INFO mapred.JobClient: ROWS=3312879
>>>>>>
>>>>>> 14/07/20 22:45:18 INFO mapred.JobClient:
>>>>>>
>>>>>
>> org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob$Counters
>>>>>>
>>>>>> 14/07/20 22:45:18 INFO mapred.JobClient: COOCCURRENCES=35882374
>>>>>>
>>>>>> 14/07/20 22:45:18 INFO mapred.JobClient: PRUNED_COOCCURRENCES=0
>>>>>>
>>>>>> 14/07/20 22:46:00 INFO mapred.JobClient: Map input records=3312879
>>>>>>
>>>>>> 14/07/20 22:46:00 INFO mapred.JobClient: Map output
>> records=17570268
>>>>>>
>>>>>> 14/07/20 22:46:00 INFO mapred.JobClient: Reduce input
>>>>> records=5221907
>>>>>>
>>>>>> 14/07/20 22:46:00 INFO mapred.JobClient: Reduce output
>>>>> records=3312879
>>>>>>
>>>>>>
>>>>>> 14/07/20 22:46:34 INFO mapred.JobClient: Reduce input
>>>>> records=3312879
>>>>>>
>>>>>> 14/07/20 22:46:34 INFO mapred.JobClient: Reduce output
>>>>> records=3312879
>>>>>>
>>>>>> 14/07/20 22:46:34 INFO mapred.JobClient: Reduce input
>>>>> records=3312879
>>>>>>
>>>>>> 14/07/20 22:46:34 INFO mapred.JobClient: Reduce output
>>>>> records=3312879
>>>>>>
>>>>>> 14/07/20 22:47:06 INFO mapred.JobClient: Map input records=7528530
>>>>>>
>>>>>> 14/07/20 22:47:06 INFO mapred.JobClient: Map output
>> records=3313251
>>>>>>
>>>>>> 14/07/20 22:47:06 INFO mapred.JobClient: Reduce input
>>>>> records=3313251
>>>>>>
>>>>>> 14/07/20 22:47:06 INFO mapred.JobClient: Reduce output
>>>>> records=3313251
>>>>>>
>>>>>> 14/07/20 22:47:40 INFO mapred.JobClient: Map input records=6626130
>>>>>>
>>>>>> 14/07/20 22:47:40 INFO mapred.JobClient: Map output
>> records=6626130
>>>>>>
>>>>>> 14/07/20 22:47:40 INFO mapred.JobClient: Reduce input
>>>>> records=6626130
>>>>>>
>>>>>> 14/07/20 22:47:40 INFO mapred.JobClient: Reduce output
>>>>> records=3312879
>>>>>>
>>>>>>
>>>>>> 14/07/20 22:48:26 INFO mapred.JobClient: Map input records=3312879
>>>>>>
>>>>>> 14/07/20 22:48:26 INFO mapred.JobClient: Map output
>> records=3313251
>>>>>>
>>>>>> 14/07/20 22:48:26 INFO mapred.JobClient: Reduce input
>>>>> records=3313251
>>>>>>
>>>>>> --------
>>>>>> 14/07/20 22:48:26 INFO mapred.JobClient: Reduce output records=0
>>>>>> --------
>>>>>>
>>>>>> why 0???
>>>>>
>>>>
>>>>
>>
>>
