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On filtering irrelevant results in peer-to-peer search

Published: 16 March 2008 Publication History

Abstract

To improve Peer-to-Peer (P2P) search accuracy, we identify multiword entities in user queries using an entity corpus constructed based on n-gram statistics collected from LimeWire users. We show that by using a statistical function, we can build a reliable corpus and successfully parse each user query to its correct entities. Our hypothesis: With entity matching, overall precision can be significantly improved, while only slightly decreasing recall.

References

[1]
Downey D., Broadhead M., and Ezioni O. Locating Complex Named Entities in Web Text. In IJCAI 2007.
[2]
Sharma S., Nguyen L. T., and Jia D. IR-Wire: A Research Tool for P2P Information Retrieval. In Proceeding ACM SIGIR Wkshp. Open Source Information Retrieval 2006.
[3]
Yang B., and Garcia-Molina H. Efficient Search in P2P Networks. In ICSCS, 2002.
[4]
Yee W. G., Nguyen L. T., and Frieder O. Conjunctive Dysfunction: The Weakness of Conjunctive Queries in Peer-to-peer File Sharing Systems. In Proc. IEEE P2P, 2006.

Cited By

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  • (2009)Short and informal documentsProceedings of the 7th international conference on Next generation information technologies and systems10.5555/1813323.1813341(109-120)Online publication date: 16-Jun-2009
  • (2009)Short and Informal Documents: A Probabilistic Model for Description EnrichmentNext Generation Information Technologies and Systems10.1007/978-3-642-04941-5_13(109-120)Online publication date: 2009
  • (2008)On multiword entity ranking in peer-to-peer searchProceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval10.1145/1390334.1390542(859-860)Online publication date: 20-Jul-2008

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  1. On filtering irrelevant results in peer-to-peer search

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    cover image ACM Conferences
    SAC '08: Proceedings of the 2008 ACM symposium on Applied computing
    March 2008
    2586 pages
    ISBN:9781595937537
    DOI:10.1145/1363686
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 16 March 2008

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    Author Tags

    1. n-gram statistics
    2. named entities recognition
    3. peer-to-peer

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    SAC '08
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    SAC '08: The 2008 ACM Symposium on Applied Computing
    March 16 - 20, 2008
    Fortaleza, Ceara, Brazil

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    Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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    Cited By

    View all
    • (2009)Short and informal documentsProceedings of the 7th international conference on Next generation information technologies and systems10.5555/1813323.1813341(109-120)Online publication date: 16-Jun-2009
    • (2009)Short and Informal Documents: A Probabilistic Model for Description EnrichmentNext Generation Information Technologies and Systems10.1007/978-3-642-04941-5_13(109-120)Online publication date: 2009
    • (2008)On multiword entity ranking in peer-to-peer searchProceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval10.1145/1390334.1390542(859-860)Online publication date: 20-Jul-2008

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