A comprehensive review from hyperlink to intelligent technologies based personalized search systems
作者机构：Department of Computer Science and InformaticsUniversity of KotaRajasthanIndia
出 版 物：《Journal of Management Analytics》 (管理分析学报（英文）)
年 卷 期：2019年第6卷第4期
页 面：365-389页
核心收录：
学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）]
基 金：GGSIPU Vivekananda Institute of Professional Studies
主 题：web search personalization meta search tool machine learning big data analytics collaborative filtering logistic regression
摘 要：In the present era of big data,web page searching and ranking in an efficient manner on the World Wide Web to satisfy the specific search needs of the modern user is undoubtedly a major challenge for search *** though a large number of web search techniques have been developed,some problems still exist while searching with generic search engines as none of the search engines can index the entire *** issue is not just the volume but also the relevance concerning the user’s ***,if the search query is partially incomplete or is ambiguous,then most of the modern search engines tend to return the result by interpreting all possible meanings of the *** search quality,more than half of the retrieved web pages have been reported to be *** web search personalization is required to retrieve search results while incorporating the user’s *** the proposed research work we have highlighted the strengths and weakness of various studies as proposed in the literature for web search personalization by carrying out a detailed comparison among *** in-depth comparative study with baselines leads to the recommendation of Intelligent Meta Search System(IMSS)and Advanced Cluster Vector Page Ranking(ACVPR)algorithm as one of the best approaches as proposed in the literature for web search ***,the detailed discussion about the comparative analysis of all categories gives new opportunities to think in different research areas.
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