“Search method”版本间的差异
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| + | =learning to rank= | ||
| + | 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]] | ||
=lucene method= | =lucene method= | ||
| − | * | + | *[[different method in lucene]] |
| − | + | *[http://cslt.riit.tsinghua.edu.cn/mediawiki/index.php/Lucene lucene_multi_query] | |
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= boost keyword = | = boost keyword = | ||
| − | + | [[boost keyword before search with ITIDF]] | |
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=our method= | =our method= | ||
2015年2月3日 (二) 01:11的最后版本
目录
learning to rank
v1.0[1]
MERT-4 Method
lucene method
boost keyword
boost keyword before search with ITIDF
our method
| 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
