Handling data sparsity via item metadata embedding into deep collaborative recommender system

The tremendous growth in information over the last decade leads to information overwhelming problems for accessing personalized products. The recommender framework that retrieves user preferences on past interactions is known as collaborative filtering (CF). Although, CF is a prevalent technique amo...

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Hlavní autoři:	Gopal Behera, Neeta Nain
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Springer 2022-11-01
Edice:	Journal of King Saud University: Computer and Information Sciences
Témata:	Recommendation system Collaborative filtering Matrix factorization Deep learning Deep neural network Embedding
On-line přístup:	http://www.sciencedirect.com/science/article/pii/S1319157821003670
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