Thank you so much for valuable suggestions

this is the query im using

q=swingline red stapler hammer hand
rigid&fl=name&qt=standard1&rows=35&debugQuery=true


here is my output, as you can see close to last records, "Swingline Stapler"
scored more than "Swingline Red Stapler - 747 series, but I want later one
to score more..

I have already added omitNorms="true" and omitTermFreqAndPositions="true" to
the name field.



  <?xml version="1.0" encoding="UTF-8" ?> 
- <response>
- <lst name="responseHeader">
  <int name="status">0</int> 
  <int name="QTime">32</int> 
- <lst name="params">
  <str name="debugQuery">true</str> 
  <str name="fl">name</str> 
  <str name="q">swingline red stapler hammer hand rigid</str> 
  <str name="qt">standard1</str> 
  <str name="rows">35</str> 
  </lst>
  </lst>
- <result name="response" numFound="3917" start="0">
- <doc>
  <str name="name">Swingline Commerical Hand Stapler</str> 
  </doc>
- <doc>
  <str name="name">Swingline Commerical Hand Stapler</str> 
  </doc>
- <doc>
  <str name="name">Swingline Commerical Hand Stapler</str> 
  </doc>
- <doc>
  <str name="name">Swingline Commerical Hand Stapler</str> 
  </doc>
- <doc>
  <str name="name">Swingline Commerical Hand Stapler</str> 
  </doc>
- <doc>
  <str name="name">Swingline Commerical Hand Stapler</str> 
  </doc>
- <doc>
  <str name="name">Swingline Commerical Hand Stapler</str> 
  </doc>
- <doc>
  <str name="name">Swingline Commerical Hand Stapler</str> 
  </doc>
- <doc>
  <str name="name">Swingline Commerical Hand Stapler</str> 
  </doc>
- <doc>
  <str name="name">Swingline Commerical Hand Stapler</str> 
  </doc>
- <doc>
  <str name="name">Swingline Commerical Hand Stapler</str> 
  </doc>
- <doc>
  <str name="name">Swingline Commerical Hand Stapler</str> 
  </doc>
- <doc>
  <str name="name">Swingline Commerical Hand Stapler</str> 
  </doc>
- <doc>
  <str name="name">Swingline Commerical Hand Stapler</str> 
  </doc>
- <doc>
  <str name="name">Swingline Red Stapler - 747 series</str> 
  </doc>
- <doc>
  <str name="name">Swingline Red Stapler - 747 series</str> 
  </doc>
- <doc>
  <str name="name">Swingline Red Stapler - 747 series</str> 
  </doc>
- <doc>
  <str name="name">Swingline Red Stapler - 747 series</str> 
  </doc>
- <doc>
  <str name="name">Swingline Red Stapler - 747 series</str> 
  </doc>
- <doc>
  <str name="name">Swingline Red Stapler - 747 series</str> 
  </doc>
- <doc>
  <str name="name">Swingline Red Stapler - 747 series</str> 
  </doc>
- <doc>
  <str name="name">Swingline Red Stapler - 747 series</str> 
  </doc>
- <doc>
  <str name="name">Swingline Red Stapler - 747 series</str> 
  </doc>
- <doc>
  <str name="name">Swingline Red Stapler - 747 series</str> 
  </doc>
- <doc>
  <str name="name">Swingline Red Stapler - 747 series</str> 
  </doc>
- <doc>
  <str name="name">Swingline Red Stapler - 747 series</str> 
  </doc>
- <doc>
  <str name="name">Eden Swingline Red Stapler - 747 series</str> 
  </doc>
- <doc>
  <str name="name">Eden Swingline Red Stapler - 747 series</str> 
  </doc>
- <doc>
  <str name="name">Swingline Stapler</str> 
  </doc>
- <doc>
  <str name="name">Swingline Stapler</str> 
  </doc>
- <doc>
  <str name="name">Swingline Red Stapler - 747 series</str> 
  </doc>
- <doc>
  <str name="name">Swingline Red Stapler - 747 series</str> 
  </doc>
- <doc>
  <str name="name">Swingline Red Stapler - 747 series</str> 
  </doc>
- <doc>
  <str name="name">Swingline Red Stapler - 747 series</str> 
  </doc>
- <doc>
  <str name="name">Swingline Red Stapler - 747 series</str> 
  </doc>
  </result>
- <lst name="debug">
  <str name="rawquerystring">swingline red stapler hammer hand rigid</str> 
  <str name="querystring">swingline red stapler hammer hand rigid</str> 
  <str name="parsedquery">text:swinglin text:red text:stapler text:hammer
text:hand text:rigid</str> 
  <str name="parsedquery_toString">text:swinglin text:red text:stapler
text:hammer text:hand text:rigid</str> 
- <lst name="explain">
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(MATCH) sum of: 1.65061 = (MATCH) weight(text:swinglin in 40464), product
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idf(docFreq=280, maxDocs=137041) 0.06386387 = queryNorm 3.5948403 = (MATCH)
fieldWeight(text:swinglin in 40464), product of: 1.0 =
tf(termFreq(text:swinglin)=1) 7.1896806 = idf(docFreq=280, maxDocs=137041)
0.5 = fieldNorm(field=text, doc=40464) 1.5231261 = (MATCH)
weight(text:stapler in 40464), product of: 0.4410731 =
queryWeight(text:stapler), product of: 6.906457 = idf(docFreq=372,
maxDocs=137041) 0.06386387 = queryNorm 3.4532285 = (MATCH)
fieldWeight(text:stapler in 40464), product of: 1.0 =
tf(termFreq(text:stapler)=1) 6.906457 = idf(docFreq=372, maxDocs=137041) 0.5
= fieldNorm(field=text, doc=40464) 0.76826674 = (MATCH) weight(text:hand in
40464), product of: 0.31325546 = queryWeight(text:hand), product of:
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2.4525247 = (MATCH) fieldWeight(text:hand in 40464), product of: 1.0 =
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(MATCH) sum of: 1.65061 = (MATCH) weight(text:swinglin in 40472), product
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idf(docFreq=280, maxDocs=137041) 0.06386387 = queryNorm 3.5948403 = (MATCH)
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weight(text:stapler in 40472), product of: 0.4410731 =
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maxDocs=137041) 0.06386387 = queryNorm 3.4532285 = (MATCH)
fieldWeight(text:stapler in 40472), product of: 1.0 =
tf(termFreq(text:stapler)=1) 6.906457 = idf(docFreq=372, maxDocs=137041) 0.5
= fieldNorm(field=text, doc=40472) 0.76826674 = (MATCH) weight(text:hand in
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idf(docFreq=280, maxDocs=137041) 0.06386387 = queryNorm 3.5948403 = (MATCH)
fieldWeight(text:swinglin in 40476), product of: 1.0 =
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maxDocs=137041) 0.06386387 = queryNorm 3.4532285 = (MATCH)
fieldWeight(text:stapler in 40476), product of: 1.0 =
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= fieldNorm(field=text, doc=40476) 0.76826674 = (MATCH) weight(text:hand in
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4.9050493 = idf(docFreq=2759, maxDocs=137041) 0.06386387 = queryNorm
2.4525247 = (MATCH) fieldWeight(text:hand in 40476), product of: 1.0 =
tf(termFreq(text:hand)=1) 4.9050493 = idf(docFreq=2759, maxDocs=137041) 0.5
= fieldNorm(field=text, doc=40476) 0.5 = coord(3/6)</str> 
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(MATCH) sum of: 1.65061 = (MATCH) weight(text:swinglin in 40480), product
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idf(docFreq=280, maxDocs=137041) 0.06386387 = queryNorm 3.5948403 = (MATCH)
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tf(termFreq(text:swinglin)=1) 7.1896806 = idf(docFreq=280, maxDocs=137041)
0.5 = fieldNorm(field=text, doc=40480) 1.5231261 = (MATCH)
weight(text:stapler in 40480), product of: 0.4410731 =
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maxDocs=137041) 0.06386387 = queryNorm 3.4532285 = (MATCH)
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tf(termFreq(text:stapler)=1) 6.906457 = idf(docFreq=372, maxDocs=137041) 0.5
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4.9050493 = idf(docFreq=2759, maxDocs=137041) 0.06386387 = queryNorm
2.4525247 = (MATCH) fieldWeight(text:hand in 40480), product of: 1.0 =
tf(termFreq(text:hand)=1) 4.9050493 = idf(docFreq=2759, maxDocs=137041) 0.5
= fieldNorm(field=text, doc=40480) 0.5 = coord(3/6)</str> 
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idf(docFreq=280, maxDocs=137041) 0.06386387 = queryNorm 3.5948403 = (MATCH)
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tf(termFreq(text:swinglin)=1) 7.1896806 = idf(docFreq=280, maxDocs=137041)
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maxDocs=137041) 0.06386387 = queryNorm 3.4532285 = (MATCH)
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tf(termFreq(text:stapler)=1) 6.906457 = idf(docFreq=372, maxDocs=137041) 0.5
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0.5 = fieldNorm(field=text, doc=41293) 1.5231261 = (MATCH)
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queryWeight(text:stapler), product of: 6.906457 = idf(docFreq=372,
maxDocs=137041) 0.06386387 = queryNorm 3.4532285 = (MATCH)
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tf(termFreq(text:stapler)=1) 6.906457 = idf(docFreq=372, maxDocs=137041)
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tf(termFreq(text:stapler)=1) 6.906457 = idf(docFreq=372, maxDocs=137041)
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tf(termFreq(text:stapler)=1) 6.906457 = idf(docFreq=372, maxDocs=137041)
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tf(termFreq(text:stapler)=1) 6.906457 = idf(docFreq=372, maxDocs=137041)
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tf(termFreq(text:stapler)=1) 6.906457 = idf(docFreq=372, maxDocs=137041)
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0.4375 = fieldNorm(field=text, doc=41278) 0.5 = coord(3/6)</str> 
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0.4375 = fieldNorm(field=text, doc=41285) 0.5 = coord(3/6)</str> 
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tf(termFreq(text:red)=1) 5.691552 = idf(docFreq=1256, maxDocs=137041) 0.375
= fieldNorm(field=text, doc=40482) 1.1423447 = (MATCH) weight(text:stapler
in 40482), product of: 0.4410731 = queryWeight(text:stapler), product of:
6.906457 = idf(docFreq=372, maxDocs=137041) 0.06386387 = queryNorm 2.5899215
= (MATCH) fieldWeight(text:stapler in 40482), product of: 1.0 =
tf(termFreq(text:stapler)=1) 6.906457 = idf(docFreq=372, maxDocs=137041)
0.375 = fieldNorm(field=text, doc=40482) 0.5 = coord(3/6)</str> 
  <str name="176|M22354">1.3223901 = (MATCH) product of: 3.9671702 = (MATCH)
sum of: 2.0632625 = (MATCH) weight(text:swinglin in 106), product of:
0.45916086 = queryWeight(text:swinglin), product of: 7.1896806 =
idf(docFreq=280, maxDocs=137041) 0.06386387 = queryNorm 4.4935503 = (MATCH)
fieldWeight(text:swinglin in 106), product of: 1.0 =
tf(termFreq(text:swinglin)=1) 7.1896806 = idf(docFreq=280, maxDocs=137041)
0.625 = fieldNorm(field=text, doc=106) 1.9039077 = (MATCH)
weight(text:stapler in 106), product of: 0.4410731 =
queryWeight(text:stapler), product of: 6.906457 = idf(docFreq=372,
maxDocs=137041) 0.06386387 = queryNorm 4.3165355 = (MATCH)
fieldWeight(text:stapler in 106), product of: 1.0 =
tf(termFreq(text:stapler)=1) 6.906457 = idf(docFreq=372, maxDocs=137041)
0.625 = fieldNorm(field=text, doc=106) 0.33333334 = coord(2/6)</str> 
  <str name="177|M22354">1.3223901 = (MATCH) product of: 3.9671702 = (MATCH)
sum of: 2.0632625 = (MATCH) weight(text:swinglin in 111), product of:
0.45916086 = queryWeight(text:swinglin), product of: 7.1896806 =
idf(docFreq=280, maxDocs=137041) 0.06386387 = queryNorm 4.4935503 = (MATCH)
fieldWeight(text:swinglin in 111), product of: 1.0 =
tf(termFreq(text:swinglin)=1) 7.1896806 = idf(docFreq=280, maxDocs=137041)
0.625 = fieldNorm(field=text, doc=111) 1.9039077 = (MATCH)
weight(text:stapler in 111), product of: 0.4410731 =
queryWeight(text:stapler), product of: 6.906457 = idf(docFreq=372,
maxDocs=137041) 0.06386387 = queryNorm 4.3165355 = (MATCH)
fieldWeight(text:stapler in 111), product of: 1.0 =
tf(termFreq(text:stapler)=1) 6.906457 = idf(docFreq=372, maxDocs=137041)
0.625 = fieldNorm(field=text, doc=111) 0.33333334 = coord(2/6)</str> 
  <str name="93|A3451000">1.138859 = (MATCH) product of: 2.277718 = (MATCH)
sum of: 0.89341885 = (MATCH) weight(text:swinglin in 9), product of:
0.45916086 = queryWeight(text:swinglin), product of: 7.1896806 =
idf(docFreq=280, maxDocs=137041) 0.06386387 = queryNorm 1.9457643 = (MATCH)
fieldWeight(text:swinglin in 9), product of: 1.7320508 =
tf(termFreq(text:swinglin)=3) 7.1896806 = idf(docFreq=280, maxDocs=137041)
0.15625 = fieldNorm(field=text, doc=9) 0.55988306 = (MATCH) weight(text:red
in 9), product of: 0.36348456 = queryWeight(text:red), product of: 5.691552
= idf(docFreq=1256, maxDocs=137041) 0.06386387 = queryNorm 1.5403214 =
(MATCH) fieldWeight(text:red in 9), product of: 1.7320508 =
tf(termFreq(text:red)=3) 5.691552 = idf(docFreq=1256, maxDocs=137041)
0.15625 = fieldNorm(field=text, doc=9) 0.82441616 = (MATCH)
weight(text:stapler in 9), product of: 0.4410731 =
queryWeight(text:stapler), product of: 6.906457 = idf(docFreq=372,
maxDocs=137041) 0.06386387 = queryNorm 1.8691146 = (MATCH)
fieldWeight(text:stapler in 9), product of: 1.7320508 =
tf(termFreq(text:stapler)=3) 6.906457 = idf(docFreq=372, maxDocs=137041)
0.15625 = fieldNorm(field=text, doc=9) 0.5 = coord(3/6)</str> 
  <str name="175|A3451000">1.138859 = (MATCH) product of: 2.277718 = (MATCH)
sum of: 0.89341885 = (MATCH) weight(text:swinglin in 23), product of:
0.45916086 = queryWeight(text:swinglin), product of: 7.1896806 =
idf(docFreq=280, maxDocs=137041) 0.06386387 = queryNorm 1.9457643 = (MATCH)
fieldWeight(text:swinglin in 23), product of: 1.7320508 =
tf(termFreq(text:swinglin)=3) 7.1896806 = idf(docFreq=280, maxDocs=137041)
0.15625 = fieldNorm(field=text, doc=23) 0.55988306 = (MATCH) weight(text:red
in 23), product of: 0.36348456 = queryWeight(text:red), product of: 5.691552
= idf(docFreq=1256, maxDocs=137041) 0.06386387 = queryNorm 1.5403214 =
(MATCH) fieldWeight(text:red in 23), product of: 1.7320508 =
tf(termFreq(text:red)=3) 5.691552 = idf(docFreq=1256, maxDocs=137041)
0.15625 = fieldNorm(field=text, doc=23) 0.82441616 = (MATCH)
weight(text:stapler in 23), product of: 0.4410731 =
queryWeight(text:stapler), product of: 6.906457 = idf(docFreq=372,
maxDocs=137041) 0.06386387 = queryNorm 1.8691146 = (MATCH)
fieldWeight(text:stapler in 23), product of: 1.7320508 =
tf(termFreq(text:stapler)=3) 6.906457 = idf(docFreq=372, maxDocs=137041)
0.15625 = fieldNorm(field=text, doc=23) 0.5 = coord(3/6)</str> 
  <str name="105|A3451000">1.138859 = (MATCH) product of: 2.277718 = (MATCH)
sum of: 0.89341885 = (MATCH) weight(text:swinglin in 61), product of:
0.45916086 = queryWeight(text:swinglin), product of: 7.1896806 =
idf(docFreq=280, maxDocs=137041) 0.06386387 = queryNorm 1.9457643 = (MATCH)
fieldWeight(text:swinglin in 61), product of: 1.7320508 =
tf(termFreq(text:swinglin)=3) 7.1896806 = idf(docFreq=280, maxDocs=137041)
0.15625 = fieldNorm(field=text, doc=61) 0.55988306 = (MATCH) weight(text:red
in 61), product of: 0.36348456 = queryWeight(text:red), product of: 5.691552
= idf(docFreq=1256, maxDocs=137041) 0.06386387 = queryNorm 1.5403214 =
(MATCH) fieldWeight(text:red in 61), product of: 1.7320508 =
tf(termFreq(text:red)=3) 5.691552 = idf(docFreq=1256, maxDocs=137041)
0.15625 = fieldNorm(field=text, doc=61) 0.82441616 = (MATCH)
weight(text:stapler in 61), product of: 0.4410731 =
queryWeight(text:stapler), product of: 6.906457 = idf(docFreq=372,
maxDocs=137041) 0.06386387 = queryNorm 1.8691146 = (MATCH)
fieldWeight(text:stapler in 61), product of: 1.7320508 =
tf(termFreq(text:stapler)=3) 6.906457 = idf(docFreq=372, maxDocs=137041)
0.15625 = fieldNorm(field=text, doc=61) 0.5 = coord(3/6)</str> 
  <str name="205|A3451000">1.138859 = (MATCH) product of: 2.277718 = (MATCH)
sum of: 0.89341885 = (MATCH) weight(text:swinglin in 75), product of:
0.45916086 = queryWeight(text:swinglin), product of: 7.1896806 =
idf(docFreq=280, maxDocs=137041) 0.06386387 = queryNorm 1.9457643 = (MATCH)
fieldWeight(text:swinglin in 75), product of: 1.7320508 =
tf(termFreq(text:swinglin)=3) 7.1896806 = idf(docFreq=280, maxDocs=137041)
0.15625 = fieldNorm(field=text, doc=75) 0.55988306 = (MATCH) weight(text:red
in 75), product of: 0.36348456 = queryWeight(text:red), product of: 5.691552
= idf(docFreq=1256, maxDocs=137041) 0.06386387 = queryNorm 1.5403214 =
(MATCH) fieldWeight(text:red in 75), product of: 1.7320508 =
tf(termFreq(text:red)=3) 5.691552 = idf(docFreq=1256, maxDocs=137041)
0.15625 = fieldNorm(field=text, doc=75) 0.82441616 = (MATCH)
weight(text:stapler in 75), product of: 0.4410731 =
queryWeight(text:stapler), product of: 6.906457 = idf(docFreq=372,
maxDocs=137041) 0.06386387 = queryNorm 1.8691146 = (MATCH)
fieldWeight(text:stapler in 75), product of: 1.7320508 =
tf(termFreq(text:stapler)=3) 6.906457 = idf(docFreq=372, maxDocs=137041)
0.15625 = fieldNorm(field=text, doc=75) 0.5 = coord(3/6)</str> 
  <str name="14|A3451000">1.138859 = (MATCH) product of: 2.277718 = (MATCH)
sum of: 0.89341885 = (MATCH) weight(text:swinglin in 81), product of:
0.45916086 = queryWeight(text:swinglin), product of: 7.1896806 =
idf(docFreq=280, maxDocs=137041) 0.06386387 = queryNorm 1.9457643 = (MATCH)
fieldWeight(text:swinglin in 81), product of: 1.7320508 =
tf(termFreq(text:swinglin)=3) 7.1896806 = idf(docFreq=280, maxDocs=137041)
0.15625 = fieldNorm(field=text, doc=81) 0.55988306 = (MATCH) weight(text:red
in 81), product of: 0.36348456 = queryWeight(text:red), product of: 5.691552
= idf(docFreq=1256, maxDocs=137041) 0.06386387 = queryNorm 1.5403214 =
(MATCH) fieldWeight(text:red in 81), product of: 1.7320508 =
tf(termFreq(text:red)=3) 5.691552 = idf(docFreq=1256, maxDocs=137041)
0.15625 = fieldNorm(field=text, doc=81) 0.82441616 = (MATCH)
weight(text:stapler in 81), product of: 0.4410731 =
queryWeight(text:stapler), product of: 6.906457 = idf(docFreq=372,
maxDocs=137041) 0.06386387 = queryNorm 1.8691146 = (MATCH)
fieldWeight(text:stapler in 81), product of: 1.7320508 =
tf(termFreq(text:stapler)=3) 6.906457 = idf(docFreq=372, maxDocs=137041)
0.15625 = fieldNorm(field=text, doc=81) 0.5 = coord(3/6)</str> 
  </lst>

: 
: if user searches for "swingline red stapler hammer hand rigid", then
: documents that matches max number of words written in query should come
: first
: e.g a document with name field as "swingline stapler" should come later
than
: the document with "swingline red stapler"

at a fundemental level, Lucene searches already work this way.

A "BooleanQuery" containing 6 optional clauses from "swingline red stapler 
hammer hand rigid" will have a coord factor of 3/6 against a document with 
the value "swingline red stapler" and a coord factor of 2/6 against a 
document with the value "swingline stapler"

that said: other factors come into play: notable the fieldNorm,which 
by default gives higher scores to shorter documents.  IDF and TF also come 
into play typically, but in your example they shouldn't affect much since 
the query doesn't change and the documents only contain ech term at most 
once.

Bottom line: you need to look atthe score explanations to understand why 
documents aren't showing up in the order that you want, and then you need 
to consider what settings you chan change to get hte behavior you want 
(ie: perhaps you need to omitNorms so shorter fields don't get a boost?)

With out seeing your score explanations, we're just guessing at things 
that might help.

--
http://lucenerevolution.org/  ...  October 7-8, Boston
http://bit.ly/stump-hoss      ...  Stump The Chump!


any suggestion on this?
thanks in advance
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