Framework for smoothing-based collaborative filtering recommender system

Authors:
Ingyu Lee
Affiliations:
Troy University, Troy, Alabama
Venue:
Proceedings of the 50th Annual Southeast Regional Conference
Year:
2012

Citing 4
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Abstract

Picking up a proper product or service is getting more difficult with the increasing number of available products and services on E-business era. Consequently, many companies provide recommending services and many researches have been done in the area. In this paper, we are proposing a framework for smoothing-based collaborative filtering recommender system considering user preferences and product similarities. Primitive experimental results show that the proposed algorithm can provide a better recommendation with user and product information.