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» Deriving Context Specific Information on the Web
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TKDE
2008
115views more  TKDE 2008»
13 years 8 months ago
Time-Aware Web Users' Clustering
Web users clustering is a crucial task for mining information related to users needs and preferences. Up to now, popular clustering approaches build clusters based on usage pattern...
Sophia G. Petridou, Vassiliki A. Koutsonikola, Ath...
AAAI
2008
13 years 11 months ago
Extracting Relevant Snippets for Web Navigation
Search engines present fix-length passages from documents ranked by relevance against the query. In this paper, we present and compare novel, language-model based methods for extr...
Qing Li, K. Selçuk Candan, Qi Yan
WWW
2005
ACM
14 years 9 months ago
Comparing relevance feedback algorithms for web search
We evaluate three different relevance feedback (RF) algorithms, Rocchio, Robertson/Sparck-Jones (RSJ) and Bayesian, in the context of Web search. We use a target-testing experimen...
Vishwa Vinay, Kenneth R. Wood, Natasa Milic-Frayli...
HICSS
2003
IEEE
144views Biometrics» more  HICSS 2003»
14 years 1 months ago
A Self-Disclosure Model for Personal Health Information
The use of information technologies (IT) to collect personal health information is growing in popularity via computer-assisted interviewing and a wide variety of healthcare Web si...
Lotus E. Kam, William G. Chismar
CIKM
2004
Springer
14 years 2 months ago
MRSSA: an iterative algorithm for similarity spreading over interrelated objects
We introduce the Multiple Relationship Similarity Spreading Algorithm (MRSSA) to enhance IR effectiveness. This method has similarity computed in an iterative “spreading” fash...
Gui-Rong Xue, Hua-Jun Zeng, Zheng Chen, Yong Yu, W...