Personalization Information Retrieval Based on Unigram Language Model

Yang Xin Yu

doi:10.4028/www.scientific.net/AMM.321-324.2269

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 321-324Personalization Information Retrieval Based on...

Personalization Information Retrieval Based on Unigram Language Model

Abstract:

Personalization information retrieval is very useful in information retrieval system, the user profile can be used to represent the favorites or interests of user. Many methods to personalization have been studied in extending query with user profile. A proposed navel method which use the context of long-term user profile with multiple domain to extend query model under the unigram language model framework, uses the new query model to retrieve and get more interesting results for users. Combined with psudo relevance feedback model, the proposed method get better performance. Experimental results show that the proposed method in this paper is effective.

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Periodical:

Applied Mechanics and Materials (Volumes 321-324)

Pages:

2269-2273

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.321-324.2269

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Online since:

June 2013

Authors:

Yang Xin Yu

Keywords:

Information Retrieval, Language Model, Personalization, Query Extension

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References

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