Author(s): Bathula Syam Babu, V. Ramachandran
Published in: International Journal of Engineering Research & Technology
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Volume/Issue: Vol. 3 - Issue 10 (October - 2014)
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 keywords. Then these user search goals are used to restructure the web search results.
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