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» Comparing relevance feedback algorithms for web search
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KDD
2006
ACM
134views Data Mining» more  KDD 2006»
14 years 8 months ago
Learning to rank networked entities
Several algorithms have been proposed to learn to rank entities modeled as feature vectors, based on relevance feedback. However, these algorithms do not model network connections...
Alekh Agarwal, Soumen Chakrabarti, Sunny Aggarwal
TREC
1997
13 years 9 months ago
Rutgers' TREC-6 Interactive Track Experience
The goal of the Rutgers TREC-6 Interactive Track study was to compare the performance and usability of a system offering positive relevance feedback with one offering positive and...
Nicholas J. Belkin, Jose Perez Carballo, Colleen C...
ECIR
2006
Springer
13 years 9 months ago
A Comparative Study of the Effectiveness of Search Result Presentation on the Web
Presentation of search results in Web-based information retrieval (IR) systems has been dominated by a textual form of information such as the title, snippet, URL, and/or file type...
Hideo Joho, Joemon M. Jose
CIKM
2005
Springer
14 years 1 months ago
Implicit user modeling for personalized search
Information retrieval systems (e.g., web search engines) are critical for overcoming information overload. A major deficiency of existing retrieval systems is that they generally...
Xuehua Shen, Bin Tan, ChengXiang Zhai
SIGIR
2005
ACM
14 years 1 months ago
A study of relevance propagation for web search
Different from traditional information retrieval, both content and structure are critical to the success of Web information retrieval. In recent years, many relevance propagation ...
Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, Zheng Chen, W...