Optimization of Clustered Web Search Queries using Genetic Algorithm for Effective Personalized Web Search
نویسنده
چکیده
In this paper web search queries are optimized using genetic algorithm based on clustered query sessions for effective Personalized Web Search. The purpose of web queries optimization is to bridge the vocabulary gap between web queries and documents relevant to the queries in order to retrieve relevant documents for effective information retrieval. These optimal set of queries are used for recommendation in order to retrieve relevant documents for personalization of web search according to the information need of the user. Experiment was conducted on the data set of user query sessions captured in three broad domains Academics, Entertainment and Sports and the results confirm the improvement of precision using cluster based optimal queries.
منابع مشابه
Optimization of Clusters of Web Query Sessions using Genetic Algorithm for Effective Personalized Web Search
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تاریخ انتشار 2015