Identification of User Search Targets Using Feed Backs
Gujjarlapudi Srilatha · 2014
Different users may have different search objectives and goals for a huge and confusing search item. The search engine performance can be improved by identifying and analyzing the search goals . In this paper, we propose a studied the approach to identify the user search goals by analyzing search engine query logs. The search goals of different users by clustering the proposed feedback from the search sessions.. to get the best results it is necessary to capture different user search goals. These user goals are nothing but information on different aspects of a query that different users want to obtain. The judgment and analysis of user search goals can be improved by the relevant result obtained from search engine and user’s feedback. Here, feedback sessions are used to discover different user search goals based on series of both clicked and un clicked URL’s. The pseudo-documents are generated to better represent feedback sessions which can reflect the information need of user. With this the original search results are restructured and to evaluate the performance of restructured search results, classified average precision is used.