Mobile Geographic Web Search Personalization with Language Model

Qiang Pu; Ahmed Lbath; Da Qing He

doi:10.4028/www.scientific.net/AMM.303-306.1420

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 303-306Mobile Geographic Web Search Personalization with...

Mobile Geographic Web Search Personalization with Language Model

Abstract:

Mobile personalized web search has been introduced for the purpose of distinguishing mobile user's personal different search interest. We first take the user's location information into account to do a geographic query expansion, then present an approach to personalizing web search for mobile users within language modeling framework. We estimate a user mixed model estimated according to both activated ontological topic model-based feedback and user interest model to re-rank the results from geographic query expansion. Experiments show that language model based re-ranking method is effective in presenting more relevant documents on the top retrieved results to mobile users. The main contribution of the improvements comes from the consideration of geographic information, ontological topic information and user interests together to find more relevant documents for satisfying their personal information need.

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Periodical:

Applied Mechanics and Materials (Volumes 303-306)

Pages:

1420-1425

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.303-306.1420

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Online since:

February 2013

Authors:

Qiang Pu, Ahmed Lbath, Da Qing He

Keywords:

Language Model, Mobile Web Search, Personalization, User Interest

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