Feedback Session Based Approach for Understanding User Search

Abstract: The important aim of each information retrieval system is to make available the keywords and applies refined ranking algorithms to categories them. But unfortunately, the users give short and ambiguous queries which sometimes are not sufficient to clearly identify its requirement. Due to which incorrect result is formed, sorted, and offered to the user. Therefore examine user search goals are valuable in improving retrieval system relevance and user experience. In proposed system, to understand user search goals for a query, feedback session is projected. Then, optimization technique used to transform remarks session to pseudo documents that may effectively give user information desires. Subsequently, the clustering method is useful to pseudo documents to understand user seek goals. By using clustering comments periods, the overall performance of clustering increases greatly and identifies the search goals efficiently. Finally the simulated the proposed scheme in terms of recall, accuracy, and precision.

Keywords: User searches goals, User search log, feedback sessions, and pseudo documents.