Fuzzy Similarity for Item-Based Top-N Recommendation
Panita Makprasert, Worapoj Kreesuradej · ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications · 2009
This article proposes a new method to predict a list of item for active user by applying fuzzy relation and fuzzy projection for recommending a system. First, we transform transaction data to user-to-item fuzzy set and item-to-user fuzzy set. Then, we make fuzzy relation between user-to-item fuzzy set and item-to-item fuzzy set by using Lukasiewicz's implication. Compose two fuzzy relations by composite operation. Then, the composition of both fuzzy relations is used to find Top-N recommendation item for active user.