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:: Volume 4, Issue 3 (Fall 2017) ::
2017, 4(3): 201-215 Back to browse issues page
A Hybrid Method for Query Recommendation in Recommender Systems
Elham Esmaeeli Gohari , Sajjad Zarifzadeh , Saeed Hasanvand
Ph. D. in Computer Engineering, Assistant Professor of Computer Engineering, Computer Engineering Dept., Technical and Engineering Campus, Yazd University, Yazd, Iran
Abstract:   (1832 Views)
Introduction: The rapid growth of information in the Internet and high informational overload has created an important challenge for users in accessing their needed information. Nowadays, query recommendation systems have become a major part of information retrieval systems. One of the applications of these recommendation systems is in medical sciences. Through applying personalization approach, these systems attempt to decrease the problem of informational overload in Web and to accelerate users' medical search.
Method: In this applied and descriptive study, by using the lexical features and search results of queries, we tried to propose a method that helps users to access their desired information in a short time while maintaining the lexical relationship with the original query. The popular k-means algorithm was used to cluster queries. The implementation of the proposed method was done by using java programming language and in NetBeans IDE software.
Results: According to the proposed method, the combined use of the lexical features and search results of queries leads to useful information for detecting similar queries. Since there is a possibility that a query contains multi-meaning words, using search results can be useful in identifying the user’s intent of a query.
Conclusion: Evaluation of the proposed model with the real search log of the Parsijoo search engine indicated the precision rate of 77.4% for this method that in comparison to other methods shows 10% improvement of precision.
Keywords: Medical recommendation system, query recommendation, Search engine, Information retrieval
Full-Text [PDF 1199 kb]   (775 Downloads)    
Type of Study: Original Article | Subject: Information Retrieval & Natural Language Processing systems
Received: 2017/09/28 | Accepted: 2017/11/27
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Esmaeeli Gohari E, Zarifzadeh S, Hasanvand S. A Hybrid Method for Query Recommendation in Recommender Systems . Journal of Health and Biomedical Informatics. 2017; 4 (3) :201-215
URL: http://jhbmi.ir/article-1-234-en.html

Volume 4, Issue 3 (Fall 2017) Back to browse issues page
مجله انفورماتیک سلامت و زیست پزشکی Journal of Health and Biomedical Informatics
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