Study on Search Behaviours Using Task Trail

This paper analyze systematically the utilities of task level search log analysis and compare it with session and query level search log analysis in real applications. Search logs are used to determine the following 1. Page utility estimation, 2. User search interest, 3. Website recommendations, 4. Web page rankings. Difficulty in web searches has given rise to the need for the development of personalized search engines. Personalized search engine creates user profile to capture user personal preferences. In this paper we compare Task session and Query Trails for search applications. We have applied a new concept called Task Trail which uses the clustering algorithms and performs effective search operation compared to session and query trails.