Collaborative Filtering for Recommender Systems
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- Collaborative Filtering for Recommender Systems
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A preprocessing matrix factorization on collaborative filtering based library book recommendation system
DSIT '18: Proceedings of the 2018 International Conference on Data Science and Information TechnologyNowadays, recommendation systems are widely used to recommend items to the users that are specific to their individual preferences and most appropriate. For this reason, many academic libraries try to establish an effectiveness and efficiency book ...
Recommending items to group of users using Matrix Factorization based Collaborative Filtering
Group recommender systems are becoming very popular in the social web owing to their ability to provide a set of recommendations to a group of users. Several group recommender systems have been proposed by extending traditional KNN based Collaborative ...
Similarity measures for Collaborative Filtering-based Recommender Systems: Review and experimental comparison
AbstractCollaborative Filtering (CF) filters the flow of data that can be recommended, by a Recommender System (RS), to a target user according to his taste and his preferences. The target user’s profile is built based on his similarity with ...
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IEEE Computer Society
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