A recommender system, or a recommendation system (sometimes replacing "system" with terms such as "platform", "engine", or "algorithm"), is a subclass...

problem is a well known and well researched problem for recommender systems. Recommender systems form a specific type of information filtering (IF) technique...

factorization is a class of collaborative filtering algorithms used in recommender systems. Matrix factorization algorithms work by decomposing the user-item...

Knowledge-based recommender systems (knowledge based recommenders) are a specific type of recommender system that are based on explicit knowledge about...

the user-generated text, a hybrid recommender system can be constructed. There are two types of motivation to recommend a candidate item to a user. The...

helpless to the recommender system. However, even if a review is well generated, they can still be harmful to the recommender system by their biased prejudice...

Collaborative filtering (CF) is a technique used by recommender systems. Collaborative filtering has two senses, a narrow one and a more general one....

sites that have been visited, as well as user-specified interests. The system analyzes the user's favorite sites and other behaviors with the aim of creating...

Internet contexts A computer-generated recommendation created by a recommender system This disambiguation page lists articles associated with the title...

ACM Conference on Recommender Systems (ACM RecSys) is a peer-reviewed academic conference series about recommender systems. Sponsored by the Association...