Beijing University of Posts and Telecommunications(BUPT) at TREC 2016: A Rating Model Based on Tags for ABSTRACT Contextual Suggestion
نویسندگان
چکیده
In this paper we focus on the effort of Beijing University of Posts and Telecommunications (BUPT) on the TREC 2016's Contextual Suggestion Track. The problem we are supposed to tackle is how to make suggestions for a particular person with the provided context as well as its preferences. Basically we regard tags as the most important factor, and get ratings for different attractions with the ratings of tags. Also we use Collaborative Filtering to fill the missing ratings. A ranked list is generated after calculating users’ ratings for candidate attractions.
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