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» Centering Information Retrieval to the User
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HICSS
2007
IEEE
144views Biometrics» more  HICSS 2007»
16 years 28 days ago
Automatic Web Page Categorization using Principal Component Analysis
Today’s search engines retrieve tens of thousands of web pages in response to fairly simple query articulations. These pages are retrieved on the basis of the query terms occurr...
Richong Zhang, Michael A. Shepherd, Jack Duffy, Ca...
CIKM
2004
Springer
15 years 12 months ago
Grammar-based task analysis of web logs
The daily use of Internet-based services is involved with hundreds of different tasks being performed by multiple users. A single task is typically involved with a sequence of Web...
Savitha Srinivasan, Arnon Amir, Prasad M. Deshpand...
WWW
2011
ACM
15 years 1 months ago
Predicting popular messages in Twitter
Social network services have become a viable source of information for users. In Twitter, information deemed important by the community propagates through retweets. Studying the c...
Liangjie Hong, Ovidiu Dan, Brian D. Davison
MM
2005
ACM
171views Multimedia» more  MM 2005»
16 years 4 days ago
Semantic manifold learning for image retrieval
Learning the user’s semantics for CBIR involves two different sources of information: the similarity relations entailed by the content-based features, and the relevance relatio...
Yen-Yu Lin, Tyng-Luh Liu, Hwann-Tzong Chen
WWW
2008
ACM
16 years 7 months ago
Characterizing typical and atypical user sessions in clickstreams
Millions of users retrieve information from the Internet using search engines. Mining these user sessions can provide valuable information about the quality of user experience and...
Narayanan Sadagopan, Jie Li