| Managing collaborative feedback information for distributed retrieval |
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Conference on Information and Knowledge Management
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Proceeding of the 2008 ACM workshop on Large-Scale distributed systems for information retrieval
table of contents
Napa Valley, California, USA
SESSION: Potpourri
table of contents
Pages 27-34
Year of Publication: 2008
ISBN:978-1-60558-254-2
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Authors
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Pascal Felber
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Université de Neuchâtel, Neuchâtel, Switzerland
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Toan Luu
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Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
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Martin Rajman
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Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
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Etienne Riviere
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Université de Neuchâtel, Neuchâtel, Switzerland
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Downloads (6 Weeks): 6, Downloads (12 Months): 67, Citation Count: 0
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ABSTRACT
Despite the many research efforts invested recently in peer-to-peer search engines, none of the proposed system has reached the level of quality and efficiency of their centralized counterpart. One of the main reasons for this inferior performance is the difficulty to attract a critical mass of users that would make the peer-to-peer system truly competitive. We argue that decentralized search mechanisms should not aim at replacing existing engines, but instead complement them by adding novel functionalities that would be difficult to provide in a centralized manner. This paper introduces an example of such a complementary search mechanism and presents the design of a distributed collaborative system for leveraging user feedback and document/user profiling information.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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