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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Vydané v:	The Journal of supercomputing Ročník 80; číslo 9; s. 13341 - 13385
Hlavní autori:	Bahrani, Payam, Minaei-Bidgoli, Behrouz, Parvin, Hamid, Mirzarezaee, Mitra, Keshavarz, Ahmad
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.06.2024 Springer Nature B.V
Predmet:	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
On-line prístup:	Získať plný text
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