A recommender system, or a recommendation system (sometimes replacing system with terms such as platform, engine, or algorithm), is a subclass of information...
91 KB (10,335 words) - 09:32, 12 August 2024
factorization is a class of collaborative filtering algorithms used in recommender systems. Matrix factorization algorithms work by decomposing the user-item...
18 KB (2,546 words) - 20:40, 26 December 2023
problem is a well known and well researched problem for recommender systems. Recommender systems form a specific type of information filtering (IF) technique...
29 KB (3,713 words) - 09:21, 2 August 2024
Knowledge-based recommender systems (knowledge based recommenders) are a specific type of recommender system that are based on explicit knowledge about...
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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...
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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...
60 KB (7,103 words) - 16:32, 11 August 2024
Collaborative filtering (category Recommender systems)
Collaborative filtering (CF) is a technique used by recommender systems. Collaborative filtering has two senses, a narrow one and a more general one....
39 KB (4,898 words) - 03:19, 31 July 2024
ACM Conference on Recommender Systems (ACM RecSys) is a peer-reviewed academic conference series about recommender systems. Sponsored by the Association...
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Recommendation (redirect from Recommend)
Internet contexts A computer-generated recommendation created by a recommender system This disambiguation page lists articles associated with the title...
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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...
23 KB (1,829 words) - 15:48, 8 June 2024