Laval University and Lakehead University Experiments at TREC 2015 Contextual Suggestion Track
Laval University Quebec City, Quebec Canada
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In this paper we describe our effort on TREC Contextual Suggestion Track. We present are commendation system that built upon Elastic Search along with a machine learning re-ranking model. We utilize real world users opinion as well as other information to build user profiles. With profile information, we then construct customized Elastic Search queries to search on various fields. After that, a learning to rank regressor is implemented to give better ranking results. Track results of our submitted runs show the effectiveness of the system.