Method of Neighborhood Formation in Collaborative Filtering
Leng Ya · 2013
In collaborative filtering,sparsity in ratings makes inaccurate neighborhood formation,thereby resulting in poor recommendations. To address this issue,a method of neighborhood formation,two-phase neighbor selection method( TPNS),is proposed. The definition of neighbor tendency is given. Based on the neighbor tendency,the preliminary neighborhood is formed. Then,the equivalence relation similarity is applied to modify the preliminary neighborhood,which makes the neighborhood formation more accurate. Experimental results on MovieLens dataset show that compared with the existing algorithms,TPNS performs better in the application of personalized recommendation.