Novel Neighbor Selection Method to Improve Data Sparsity Problem in Collaborative Filtering
نویسندگان
چکیده
منابع مشابه
A NOVEL FUZZY-BASED SIMILARITY MEASURE FOR COLLABORATIVE FILTERING TO ALLEVIATE THE SPARSITY PROBLEM
Memory-based collaborative filtering is the most popular approach to build recommender systems. Despite its success in many applications, it still suffers from several major limitations, including data sparsity. Sparse data affect the quality of the user similarity measurement and consequently the quality of the recommender system. In this paper, we propose a novel user similarity measure based...
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ژورنال
عنوان ژورنال: International Journal of Distributed Sensor Networks
سال: 2013
ISSN: 1550-1477,1550-1477
DOI: 10.1155/2013/847965