On building entity recommender systems using user click log and freebase knowledge
Xiao Fan Yu, Hao Ma, Bo-June Paul Hsu, Jiawei Han · 2014
Due to their commercial value, search engines and recommender systems have become two popular research topics in both industry and academia over the past decade. Although these two fields have been actively and extensively studied separately, researchers are beginning to realize the importance of the scenarios at their intersection: providing an integrated search and information discovery user experience. In this paper, we study a novel application, i.e., personalized entity recommendation for search engine users, by utilizing user click log and the knowledge extracted from Freebase.