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WWW
2008
ACM
15 years 10 months ago
Learning to rank relational objects and its application to web search
Learning to rank is a new statistical learning technology on creating a ranking model for sorting objects. The technology has been successfully applied to web search, and is becom...
Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, De-Sheng Wang...
ADCS
2004
14 years 11 months ago
Focused Crawling in Depression Portal Search: A Feasibility Study
Previous work on domain specific search services in the area of depressive illness has documented the significant human cost required to setup and maintain closed-crawl parameters....
Thanh Tin Tang, David Hawking, Nick Craswell, Rame...
WADS
2001
Springer
137views Algorithms» more  WADS 2001»
15 years 1 months ago
Visual Ranking of Link Structures
Methods for ranking World Wide Web resources according to their position in the link structure of the Web are receiving considerable attention, because they provide the first e...
Ulrik Brandes, Sabine Cornelsen
198
Voted
ISCI
2011
14 years 4 months ago
Rational Research model for ranking semantic entities
—Ranking plays important roles in contemporary Internet and vertical search engines. Among existing ranking algorithms, link analysis based algorithms have been proved as effecti...
Wang Wei, Payam M. Barnaghi, Andrzej Bargiela
WWW
2007
ACM
15 years 10 months ago
Answering relationship queries on the web
Finding relationships between entities on the Web, e.g., the connections between different places or the commonalities of people, is a novel and challenging problem. Existing Web ...
Gang Luo, Chunqiang Tang, Ying-li Tian