An Analysis on the Relationship between the Number of Ratings and the Performance of Collaborative Filtering

Abstract

In Collaborative Filtering(CF)-based e-commerce personalization, customers` rating information on products is the main source of information to provide personalized recommendation. In this study, using the publicly available two data sets, EachMovie and MovieLens data sets, we analyze the relationship of the number of ratings of customers on products to the performance of CF.