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http://dx.doi.org/10.5762/KAIS.2016.17.2.690

Personalized Web Search using Query based User Profile  

Yoon, Sung Hee (Department of Computer Engineering, Sangmyung University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.17, no.2, 2016 , pp. 690-696 More about this Journal
Abstract
Search engines that rely on morphological matching of user query and web document content do not support individual interests. This research proposes a personalized web search scheme that returns the results that reflect the users' query intent and personal preferences. The performance of the personalized search depends on using an effective user profiling strategy to accurately capture the users' personal interests. In this study, the user profiles are the databases of topic words and customized weights based on the recent user queries and the frequency of topic words in click history. To determine the precise meaning of ambiguous queries and topic words, this strategy uses WordNet to calculate the semantic relatedness to words in the user profile. The experiments were conducted by installing a query expansion and re-ranking modules on the general web search systems. The results showed that this method has 92% precision and 82% recall in the top 10 search results, proving the enhanced performance.
Keywords
personalized search; query expansion; re-ranking; user profile; WordNet;
Citations & Related Records
Times Cited By KSCI : 10  (Citation Analysis)
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