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A New Algorithm for Inferring User Search Goals with Feedback Sessions
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 118 - Number 14 |
| Year of Publication: 2015 |
| Authors: Bhushan Thakare, Rohan Rawlani, Sahil Pathak, Dipali Salve, Ritesh Natekar |
10.5120/20812-3099
|
Bhushan Thakare, Rohan Rawlani, Sahil Pathak, Dipali Salve, Ritesh Natekar . A New Algorithm for Inferring User Search Goals with Feedback Sessions. International Journal of Computer Applications. 118, 14 ( May 2015), 9-12. DOI=10.5120/20812-3099
Abstract
For a broad-topic and ambiguous query, different users may have different search goals when they submit it to a search engine. The inference and analysis of user search goals can be very useful in improving search engine relevance and user experience. In this paper, we propose a novel approach to infer user search goals by analyzing search engine query logs. First, we propose a framework to discover different user search goals for a query by clustering the proposed feedback sessions. Feedback sessions are constructed from user click-through logs and can efficiently reflect the information needs of users. Second, we propose a novel approach to generate pseudo-documents to better represent the feedback sessions for clustering. Finally, we propose a new criterion "Classified Average Precision (CAP)" to evaluate the performance of inferring user search goals. Experimental results are presented using user click-through logs from a commercial search engine to validate the effectiveness of our proposed methods.
References
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