536 search results - page 10 / 108 » Learning to cluster web search results |
KDD
2004
ACM
14 years 29 days ago
2004
ACM
We present a graph-theoretic approach to discover storylines from search results. Storylines are windows that offer glimpses into interesting themes latent among the top search re...
IJIRR
2011
13 years 2 months ago
2011
— recently, search engines become more critical for finding information over the World Wide Web where web content growing fast, the user's satisfaction of search engine resu...
SIGIR
2009
ACM
14 years 2 months ago
2009
ACM
Incorporating features extracted from clickthrough data (called clickthrough features) has been demonstrated to significantly improve the performance of ranking models for Web sea...
SIGIR
1998
ACM
13 years 12 months ago
1998
ACM
Users of Web search engines are often forced to sift through the long ordered list of document “snippets” returned by the engines. The IR community has explored document cluste...
HIS
2003
13 years 9 months ago
2003
: Text classification, document clustering and similar document analysis tasks are currently the subject of significant global research, since such areas underpin web intelligence,...