A Customized Search Engine for user Search Goals using CAP Algorithm
Bathula Syam Babu, Vandana Ramachandran · 2014
Abstract- These days Internet is widely used by users to satisfy various information needs with accurate results. However, ambiguous query/topic submitted to search engine doesn’t satisfy user information needs, because different users may have different information needs on diverse aspects upon submission of same query/topic to search engine. So discovering different user search goals becomes complicated. The evaluation and depiction of user search goals can be very useful in improving search engine relevance and user knowledge. A novel approach for inferring user search goals by analyzing user query logs from various search engines. The proposed approach is used to discover different user search goals for a query by clustering the user feedback sessions. Feedback sessions are constructed from click through logs of various search engines. The method first generates pseudo-documents to better represent feedback sessions for clustering. Finally, clustering pseudo-documents to discover different user search goals and depict them with some