Adaptive Fusion Method for User-Based and Item-Based Collaborative Filtering

Abstract

In many E-commerce sites, recommender systems, which provide personalized recommendation from among a large number of items, are recently introduced. Collaborative ltering is one of the most successful algorithms which provide recommendations using ratings of users on items. There are two approaches such as user-based and item-based collaborative ltering… (More)
DOI: 10.1142/S0219525911003001

Topics

10 Figures and Tables