WSEAS Transactions on Computers


Print ISSN: 1109-2750
E-ISSN: 2224-2872

Volume 16, 2017

Notice: As of 2014 and for the forthcoming years, the publication frequency/periodicity of WSEAS Journals is adapted to the 'continuously updated' model. What this means is that instead of being separated into issues, new papers will be added on a continuous basis, allowing a more regular flow and shorter publication times. The papers will appear in reverse order, therefore the most recent one will be on top.



User Intent Discovery Using Search Logs and Social Network Analysis

AUTHORS: Wael K. Hanna, Aziza S. Asem, M. B. Senouy

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ABSTRACT: With the continuous growing of applications of internet and Web 2.0, users have the opportunity to publish data over the Web. Search engines face many difficulties to return search results whose rankings based on users’ intents. All search engines provide search log of the user by tracking their online searches through recording their queries and click information besides browsing history has been stored at the client side. Also, social networks provide a powerful tool for extracting the users’ interests from profile and activities of user’s different social networks. This paper presents a new proposed method of enabling personalized Web search for users based on their extracted interests and intents from search logs and composite social networks. This paper explores various extracted features and intents from previous resources. Then clustering the users’ extracted intents and use it to re-rank the web search results. The implementation and the evaluation of the proposed method were presented by improving the performance of the Web search engines

KEYWORDS: Personalization, Search Engine, Search Logs and Social Network.

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[10] Ruofan W., Shan J. and Yan Z., Re-ranking Search Results Using Semantic Similarity, In Proceedings of Eighth International Conference on Fuzzy Systems and Knowledge Discovery, Shanghai, 2011, pp. 1047 – 1051.

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WSEAS Transactions on Computers, ISSN / E-ISSN: 1109-2750 / 2224-2872, Volume 16, 2017, Art. #35, pp. 306-313


Copyright © 2017 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution License 4.0

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