A User-Oriented Collaborative Filtering Algorithm for Recommender Systems

摘要

Recommender systems (RSs) are one of the emerging applications in electronic commerce companies, such as Amazon, Flipkart, eBay, Levi's and many more. It generates a list of probable recommendations for the customers or users of the companies in one of the two categories, namely collaborative filtering-based (CF) and content-based. In CF, the recommendation is based on a user's past behavior and other similar users' behavior. Many algorithms have been developed for finding the recommendation in CF recommender systems. One of the popular algorithms is