Relational distance-based collaborative filtering

Authors:
Wei Zhang
Affiliations:
Digital China Postdoctoral Research Workstation of Haidian Park of Beijing Zhongguancun Science Park, Beijing, China
Venue:
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Year:
2008

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Abstract

In this paper, we present a novel hybrid recommender system called RelationalCF, which integrate content and demographic information into a collaborative filtering framework by using relational distance computation approaches without the effort of form transformation and feature construction. Our experiments suggest that the effective combination of various kinds of information based on relational distance approaches provides improved accurate recommendations than other approaches.