BJUT at TREC 2016 OpenSearch: Search Ranking Based on Clickthrough Data
Cheng Li, Zhen Yang and David Lillis
In Proceedings of the Twenty-Fifth Text REtrieval Conference (TREC 2016), Gaithersburg, MD, 2017.
In this paper we describe our efforts for the TREC OpenSearch task. Our goal for this year is to evaluate the effectiveness of: (1) a ranking method using information crawled from an authoritative search engine; (2) search rank- ing based on clickthrough data taken from user feedback; and (3) a unified modeling method that combines knowledge from the web search engine and the users' clickthrough data. Fi- nally, we conduct extensive experiments to evaluate the pro- posed framework on the TREC 2016 OpenSearch data set, with promising results.