A hybrid semantic recommender system based on an improved clustering

A recommender system is a model that automatically recommends some meaningful cases (such as clips/films/goods/items) to the clients/people/consumers/users according to their (previous) interests. These systems are expected to recommend the items according to the users’ interests. There are two trad...

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Bibliographic Details
Published in:	The Journal of supercomputing Vol. 80; no. 9; pp. 13341 - 13385
Main Authors:	Bahrani, Payam, Minaei-Bidgoli, Behrouz, Parvin, Hamid, Mirzarezaee, Mitra, Keshavarz, Ahmad
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.06.2024 Springer Nature B.V
Subjects:	Accuracy Algorithms Approximation Clustering Cold Collaboration Compilers Computer Science Feedback Filtration Interpreters Machine learning Ontology Processor Architectures Programming Languages Ratings Recommender systems Semantics Sparsity Recommendation systems Kmeans clustering nearest neighbors Ontology WordNet
ISSN:	0920-8542, 1573-0484
Online Access:	Get full text
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