PEV:New Similarity Measure Applying to Item-based Collaborative Filtering Algorithm
Guo Xian-li · Journal of Chinese Computer Systems · 2009
In Item-Based collaborative filtering algorithm,the most critical component of it is the similarity measure between items.This paper presents a new similarity measure applying to Item-Based collaborative filtering algorithm by analyzing the defects of traditional similarity measure in data sparsity.The measure takes synthetically into account the influence of user rating to item similarity from three aspects of proximity,effect and value.The experiment shows that the measure can avoid the defects of traditional similarity measure.Reducing the negative effect on the final recommendation and providing better recommendation results for the system.