Recommender systems provide users with personalized suggestions for products or services. These systems often rely on Collaborating Filtering (CF), where past transactions are ana...
Collaborative ļ¬ltering (CF) techniques are becoming increasingly popular with the evolution of the Internet. Such techniques recommend products to customers using similar usersā...
Collaborative ļ¬ltering (CF) systems are being widely used in E-commerce applications to provide recommendations to users regarding products that might be of interest to them. Th...
Rating-based collaborative ļ¬ltering is the process of predicting how a user would rate a given item from other user ratings. We propose three related slope one schemes with pred...
We show that the standard memory-based collaborative ļ¬ltering rating prediction algorithm using the Pearson correlation can be improved by adapting user ratings using linear reg...