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ICDE
2008
IEEE
189views Database» more  ICDE 2008»
14 years 1 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, ...
WWW
2007
ACM
14 years 8 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
HT
2010
ACM
13 years 9 months ago
Assessing users' interactions for clustering web documents: a pragmatic approach
In this paper we are interested in describing Web pages by how users interact within their contents. Thus, an alternate but complementary way of labelling and classifying Web docu...
Luis A. Leiva, Enrique Vidal
EWMF
2003
Springer
14 years 17 days ago
Greedy Recommending Is Not Always Optimal
Abstract. Recommender systems suggest objects to users. One form recommends documents or other objects to users searching information on a web site. A recommender system can be use...
Maarten van Someren, Vera Hollink, Stephan ten Hag...
AGENTS
1998
Springer
13 years 11 months ago
WebMate: A Personal Agent for Browsing and Searching
The World-Wide Web is developing very fast. Currently, nding useful information on the Web is a time consuming process. In this paper, we present WebMate, an agent that helps user...
Liren Chen, Katia P. Sycara