Recommender System based on Higher-order Logic Data Representation
Linna Li, Bingru Yang, Zhuo Chen · 2008
Collaborative Filtering help users to deal with information overload and guide them in a personalized way to interesting or useful objects in a large space of possible options.In this paper, we present a novel and elegant hybrid recommender system called HOLCF, which use higherorder logic as data representation and integrate content and demographic information into a collaborative filtering framework by using higher-order logic distance computation approaches without the effort of feature construction.Our experiments suggest that the effective combination of various kinds of information based on higher-order logic distance computation approaches provides improved accurate recommendations.