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http://dx.doi.org/10.13067/JKIECS.2019.14.3.587

Personalized Search Technique using Users' Personal Profiles  

Yoon, Sung-Hee (Dept. of Software, Sangmyung University)
Publication Information
The Journal of the Korea institute of electronic communication sciences / v.14, no.3, 2019 , pp. 587-594 More about this Journal
Abstract
This paper proposes a personalized web search technique that produces ranked results reflecting user's query intents and individual interests. The performance of personalized search relies on an effective users' profiling strategy to accurately capture their interests and preferences. User profile is a data set of words and customized weights based on recent user queries and the topic words of web documents from their click history. Personal profile is used to expand a user query to the personalized query before the web search. To determine the exact meaning of ambiguous queries and topic words, this strategy uses WordNet to calculate semantic similarities to words in the user personal profile. Experimental results with query expansion and re-ranking modules installed on general search systems shows enhanced performance with this personalized search technique in terms of precision and recall.
Keywords
Personalized Search; User Preference; User Profile; Query Expansion; Re-Ranking;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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