文章基本信息

标题：IDENTIFYING A THRESHOLD CHOICE FOR THE SEARCH ENGINE USERS TO REDUCE THE INFORMATION OVERLOAD USING LINK BASED REPLICA REMOVAL IN PERSONALIZED SEARCH ENGINE USER PROFILE
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作者：P.SRINIVASAN ; K.BATRI
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2014
卷号：65
期号：2
出版社：Journal of Theoretical and Applied
摘要：The search engine information over load reduction has been focused and presented in the paper. The replica of cluster content, hyperlinks and sub-hyperlinks in the personalized user profile have been removed to reduce the information overload. This has been carried out through a personalized search results against existing query cluster's method. It has been found that the user profile with replication has more information overload than non-replicated profile. The experimental result performed by Lingo algorithm with few threshold values after finding the word weight of all content and pre-processing. The result findings confirm that the negative impact on cluster content and positive impact over sub-hyperlinks at the same time and no impact on hyperlinks. In order to measure the performance , few choices of the threshold result findings have been confirmed for the better results. The student t-test is used for analysis, and it confirms that the variations before and after removal of cluster and link based replica content in all the threshold levels.
关键词：Cluster Content Sub-Hyperlinks Keyword User Profile Replica Hyperlinks Overload Search Engine