“Search method”版本间的差异

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boost keyword
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=learning to rank=
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v1.0[http://cslt.riit.tsinghua.edu.cn/mediawiki/index.php/Huilan-learning-to-rank]
 
=MERT-4 Method=
 
=MERT-4 Method=
 
* [[Optimize the parameter in different data source]]
 
* [[Optimize the parameter in different data source]]

2015年2月3日 (二) 01:09的版本

learning to rank

v1.0[1]

MERT-4 Method

lucene method

different method in lucene

boost keyword

boost keyword before search with ITIDF

our method

different result in lucene
method lucene vsm_idf(haiguan) VSM_idf(baidu) vsm_idf(tain) vsm_idf(calculate)
Accary 0.6628 0.6228 0.6197 0.5827 0.5426

synonyms method

  • fuzzy match
  • calculate the similarity value = 1/(5-5*av_value).where av_value = average(word2vec+Synonyms forest+hownet).
  • lucene
  • lucene4.6 already added synonyms method (org.apache.lucene.analysis.synonym[2]) like :(a -> x) (a b -> y) (b c d -> z) or extend the query.

find

  • 采用最细粒度分词(对于标准问题在建立索引时,模板不用),可以提高正确率。61=>66.对于标准问题建索引时.
  • 对输入的问题不应用细粒度分词(细粒度的59%,不用66%)。
  • lucene4.6 已经增加了同义词拓展[3]

bug fix

  • vsm method
  • doesn't clear the pattern before search