文章基本信息

标题：Implicit Client Side User Profiling for Improving Relevancy of Search Results
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作者：Saniya Zahoor ; Dr. Mangesh Bedekar
期刊名称：Computer Science & Information Technology
电子版ISSN：2231-5403
出版年度：2014
卷号：4
期号：8
页码：83-90
DOI：10.5121/csit.2014.4809
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：The Web is being a pool of knowledge, where any user visits hundreds of pages for variouspurposes but keeping track of its relevance for him is a tedious job. An average browser justprovides you by the details of your browsing history but has no way to determine whatimportance the page holds for the user. In this paper we propose a method which aims togenerate user profiles automatically depending on the various web pages a user browses over aperiod of time and the user’s interaction with them. This automatically generated user profileassigns weights to web pages proportional to the user interactions on the webpage and thusindicates relevancy of web pages to the user based on these weights.
关键词：User profiling; web personalisation; implicit user behaviour modelling; client side analysis