IEEE

Collaborative filtering recommendation algorithms research based on influence and complex network

Abstract: Recommender systems provide personalized recommendations for products, information or services in electronic commerce. Collaborative filtering is one of the most successful techniques that ...
IEEE

Clustering collaborative filtering recommendation algorithm of users based on time factor

Abstract: Collaborative filtering recommendation algorithm is the most widely used recommendation algorithm in recommendation systems. Based on the collaborative filtering recommendation algorithm, a ...
NBC News

The algorithm that will keep you buying on Cyber Monday

Amazon’s item-to-item collaborative filtering algorithm is responsible for recommending products by tailoring those recommendations to individual users. In other words, it’s the reason you might keep ...
GitHub

This is a movie recommender system using item based collaborative filtering algorithm. The language is Java.

In this project, I worked on a movie recommender system. The raw dataset is the 100k movielens dataset 100000 ratings by 943 users on 1682 items. Each user has rated at least 20 movies. I applied item ...