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» Term Ranking for Clustering Web Search Results
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WSDM
2010
ACM
194views Data Mining» more  WSDM 2010»
14 years 6 months ago
Ranking with Query-Dependent Loss for Web Search
Queries describe the users' search intent and therefore they play an essential role in the context of ranking for information retrieval and Web search. However, most of exist...
Jiang Bian, Tie-Yan Liu, Tao Qin, Hongyuan Zha
ICDE
2006
IEEE
128views Database» more  ICDE 2006»
14 years 2 months ago
Searching and Ranking Documents based on Semantic Relationships
Just as the link structure of the web is a critical component in today's web search, complex relationships (i.e., the different ways the dots are connected) will be an import...
Boanerges Aleman-Meza
WWW
2007
ACM
14 years 9 months ago
Web projections: learning from contextual subgraphs of the web
Graphical relationships among web pages have been leveraged as sources of information in methods for ranking search results. To date, specific graphical properties have been used ...
Jure Leskovec, Susan T. Dumais, Eric Horvitz
WWW
2001
ACM
14 years 9 months ago
Clustering user queries of a search engine
In order to increase retrieval precision, some new search engines provide manually verified answers to Frequently Asked Queries (FAQs). An underlying task is the identification of...
Ji-Rong Wen, Jian-Yun Nie, HongJiang Zhang
ICDE
2008
IEEE
189views Database» more  ICDE 2008»
14 years 3 months ago
Adapting ranking functions to user preference
— Learning to rank has become a popular method for web search ranking. Traditionally, expert-judged examples are the major training resource for machine learned web ranking, whic...
Keke Chen, Ya Zhang, Zhaohui Zheng, Hongyuan Zha, ...