76 search results - page 3 / 16 » Are click-through data adequate for learning web search rank... |
ACL
2009
13 years 3 months ago
2009
Web search quality can vary widely across languages, even for the same information need. We propose to exploit this variation in quality by learning a ranking function on bilingua...
COLING
2010
13 years 9 days ago
2010
Machine-learned ranking techniques automatically learn a complex document ranking function given training data. These techniques have demonstrated the effectiveness and flexibilit...
WSDM
2012
ACM
12 years 26 days ago
2012
ACM
Many vertical search tasks such as local search focus on specific domains. The meaning of relevance in these verticals is domain-specific and usually consists of multiple well-d...
SIGIR
2009
ACM
13 years 11 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...
WWW
2006
ACM
14 years 6 months ago
2006
ACM
Since the publication of Brin and Page's paper on PageRank, many in the Web community have depended on PageRank for the static (query-independent) ordering of Web pages. We s...