Paper Title:
A Query Expansion Method Based on User's Historical Interested Web Pages and Historical Query Terms
  Abstract

Current popular search engines are built to serve all users, independent of the needs of any individual user. A personalized query expansion method based on user's historical interested Web pages (UHIWPs) and user’s historical query terms (UHQTs) is proposed in this paper. When a user submits a query keyword to a search engine, the new algorithm can automatically locate the current user’s implicit search intention and compute the term-term associations dynamically according to the user’s UHIWPs and UHQTs. More personalized expansion terms then will be generated and submitted to the search engine together with the query keyword. As a result, different search results can be returned to different users even though they input the same query keywords. Experimental results show that this method is better than the current algorithm in average precision.

  Info
Periodical
Edited by
Zhou Mark
Pages
1218-1225
DOI
10.4028/www.scientific.net/AMM.52-54.1218
Citation
Z. Y. Zhu, C. L. Yu, S. J. Dong, J. He, "A Query Expansion Method Based on User's Historical Interested Web Pages and Historical Query Terms", Applied Mechanics and Materials, Vols. 52-54, pp. 1218-1225, 2011
Online since
March 2011
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$32.00
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