Probabilistic Relevance Models for Collaborative Filtering
Wang Jun, Technical University, Delft, jun.wang@tudelft.nl
LitLinker: A System for Searching Potential Discoveries in Biomedical Literature
Meliha Yetisgen-Yildiz, University of Washington, melihay@u.washington.edu
Personal information retrieval
Paul Thomas, Australian National University, paul.thomas@anu.edu.au
Towards More Accurate Email Classification
Shih-Wen Ke, University of Sunderland, george.ke@sunderland.ac.uk
Searching People Sharing Similar Interests from the Web
Quanzhi Li, New Jersey Institute of Technology, ql23@njit.edu
The Importance of Topic Shift in XML Retrieval
Elham Ashoori, Queen Mary College, London, elham@dcs.qmul.ac.uk
Retrieval of Opinions and Attitudes in Weblogs and Emails
Yejun Wu, University of Maryland, College Park, wuyj@glue.umd.edu
User-Centered Adaptive Information Retrieval
Xuehua Shen, University of Illinois, Urbana-Champaign, xshen@cs.uiuc.edu
Cluster-Based Retrieval From A Language Modeling Perspective
Xiaoyong Liu, University of Massachusetts, Amherst, xliu@cs.umass.edu