文章基本信息

标题：A Novel Approach for Presuming Users Intention with Feedback Sessions
本地全文：下载
作者：Y. Naga Lakshmi ; P. Samba Siva Rao ; Abdul Vahed 等
期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2014
卷号：18
期号：2
页码：51-55
出版社：Seventh Sense Research Group
摘要：Nowadays Internet is widely used by the user to get their required information. The user enters query to search engine it returns back the information to the user, sometimes user submit ambiguous query he might not satisfy by the answer given by the search engine, different users expect different answer for same question at this time it’s become complicated. The evaluation and analyzing of user search goals can be very useful in improving search engine relevance and user knowledge. These papers propose a new algorithm for inferring user search goals by analyzing query logs from various search engines. This proposed approach display different user search goals for a query. Feedback sessions are constructed from click logs from various search engines. Each click stored in data base, based on clicks it will display to the user. If the user clicks on link it will treats as positive feedback and if user doesn’t clicks it treats as negative feedback. The user search goals are used to restructure the web search results.
关键词：Search engine; user search goals; inferring; feedback