Contextual Suggestion using tag-description similarity

Abstract

In this paper, we present our approach for the Contextual Suggestion track of 2015 Text REtrieval Conference (TREC). The task aims at providing recommendations on points of attraction for different kind of users and a varying context. Our group DPLAB IITBHU tries to address the problem from the perspective of how relevant the attractions are based on user profiles and rank them based on two similarity measures– wup similarity and another similarity measure proposed by us. © 2015 24th Text REtrieval Conference, TREC 2015 - Proceedings. All Rights Reserved.