Briefs
Winners of Microsoft Research Grants on Innovation in Search Technology
Microsoft Live Labs has named the winners of $500,000 in grant money
for its Accelerating Search in Academic Research request for proposal
(RFP), which will enable the recipients to continue their study of
Internet search technologies, and data mining, discovery, and
analysis.
"Through this RFP process, we have found a wealth of
academic talent and ideas for search and algorithm development that we
think will transform our ability to harness the power of the Web in
the years to come, allowing users to focus less on the work of
searching and instead reap the rewards of discovery," says Gary
William Flake, director of Live Labs.
Among projecte related to data mining are:
- Eytan Adar, Brian Bershad, Steven Gribble, Daniel Weld -- University of Washington (U.S.):
General research: machine learning, human-computer interaction, data mining
Proposal title: "Vinegar: Leading Indicators in Query Logs"
Soumen Chakrabarti -- Indian Institute of Technology, Bombay (India):
- General research: machine learning, information retrieval, natural language processing
- Proposal title: "Entity and Relation Types in Web Search: Annotation Indexing and Scoring Techniques"
Kevin Chang -- University of Illinois at Urbana-Champaign (U.S.):
- General research: information retrieval, information integration
- Proposal title: "Deepening Search: From the Surface to the Deep Web"
Bruce Croft -- University of Massachusetts at Amherst (U.S.):
- General research: information retrieval
- Proposal title: "Discovering and Using Meta-Terms"
Brian Davison -- Lehigh University (U.S.):
- General research: machine learning, information retrieval
- Proposal title: "Incorporating Trust Into Web Authority"
Anindya Ghose, Panagiotis Ipeirotis -- New York University (U.S.):
- General research: machine learning, information retrieval, econometrics
- Proposal title: "Combining Econometric and Text Mining Approaches
for Measuring the Effect of Online Information Exchange"
Gerd Stumme -- University of Kassel (Germany):
- General research: machine learning, information retrieval, social software
- Proposal title: "Social Search: Bringing the Social Component to the Web"
ChengXiang Zhai -- University of Illinois at Urbana-Champaign (U.S.):
- General research: machine learning, information retrieval
- Proposal title: "Mining Query/Click Logs for Collaborative Internet Search"
More information about the grant recipients and their projects as well
as other funding opportunities can be found at
http://research.microsoft.com/ur and in the Feature Stories section of
Microsoft Corp.'s PressPass media relations Web site at
www.microsoft.com/presspass.
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