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On multiword entity ranking in peer-to-peer search

Published: 20 July 2008 Publication History

Abstract

Previously [2], we postulated the advantage of using entity extraction to implement a new Peer-to-Peer (P2P) search framework for reducing network traffic and providing a trade off between precision and recall. We now propose an entity ranking method designed for the 'short documents' characteristic of P2P, which significantly improves both precision and recall in 'top results' P2P search. We construct a dynamic entity corpus using n-grams statistics and metadata, study its reliability, and use it to identify correlations between user query terms.

References

[1]
da Silva J. F., and Lopes G. P. A local Maxima method and a Fair Dispersion Normalization for extracting multi-word units from corpora. In Sixth Meeting on Mathematics of Language, 1999.
[2]
Merhav Y. and Frieder O., On Filtering Irrelevant Results in Peer-to-Peer Search, ACM 23rd Symposium on Applied Computing (SAC), Fortaleza, Brazil, 2008.
[3]
Sharma S., Nguyen L. T., and Jia D. IR-Wire: A Research Tool for P2P Information Retrieval. In Proceeding ACM SIGIR Wkshp. 2006.

Cited By

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  • (2012)Interactive and context-aware tag spell check and correctionProceedings of the 21st ACM international conference on Information and knowledge management10.1145/2396761.2398534(1869-1873)Online publication date: 29-Oct-2012
  • (2010)On tag spell checkingProceedings of the 17th international conference on String processing and information retrieval10.5555/1928328.1928333(37-42)Online publication date: 11-Oct-2010
  • (2010)On Tag Spell CheckingString Processing and Information Retrieval10.1007/978-3-642-16321-0_4(37-42)Online publication date: 2010
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  1. On multiword entity ranking in peer-to-peer search

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    cover image ACM Conferences
    SIGIR '08: Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
    July 2008
    934 pages
    ISBN:9781605581644
    DOI:10.1145/1390334
    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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    Publication History

    Published: 20 July 2008

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    Author Tags

    1. entity ranking
    2. peer-to-peer

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    Overall Acceptance Rate 792 of 3,983 submissions, 20%

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    Cited By

    View all
    • (2012)Interactive and context-aware tag spell check and correctionProceedings of the 21st ACM international conference on Information and knowledge management10.1145/2396761.2398534(1869-1873)Online publication date: 29-Oct-2012
    • (2010)On tag spell checkingProceedings of the 17th international conference on String processing and information retrieval10.5555/1928328.1928333(37-42)Online publication date: 11-Oct-2010
    • (2010)On Tag Spell CheckingString Processing and Information Retrieval10.1007/978-3-642-16321-0_4(37-42)Online publication date: 2010
    • (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)Termset-Based Indexing and Query Processing in P2P SearchProceedings of the 2009 International Forum on Computer Science-Technology and Applications - Volume 0310.1109/IFCSTA.2009.304(263-266)Online publication date: 25-Dec-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

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