Two new collaborative filtering approaches to solve the sparsity problem
Sign Up to like & getrecommendations! Published in 2020 at "Cluster Computing"
DOI: 10.1007/s10586-020-03155-6
Abstract: Collaborative filtering which is the most successful technique of the Recommender System, has recently attracted great attention, especially in the field of e-commerce. CF is used to help users find their preferred items by assessing… read more here.
Keywords: collaborative filtering; two new; new collaborative; sparsity problem ... See more keywords
An Approach to Alleviate the Sparsity Problem of Hybrid Collaborative Filtering Based Recommendations: The Product-Attribute Perspective from User Reviews
Sign Up to like & getrecommendations! Published in 2020 at "Mobile Networks and Applications"
DOI: 10.1007/s11036-019-01246-2
Abstract: The goal of a recommender system is to return related items that users may be interested in. However recommendation methods result in a sparsity problem that affects the generation of recommendation results and, thus, the… read more here.
Keywords: sparsity problem; product attribute; product; recommendation ... See more keywords