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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Principais autores:	Gopal Behera, Neeta Nain
格式:	Artigo
语言:	Inglês
出版:	Springer 2022-11-01
丛编:	Journal of King Saud University: Computer and Information Sciences
主题:	Recommendation system Collaborative filtering Matrix factorization Deep learning Deep neural network Embedding
在线阅读:	http://www.sciencedirect.com/science/article/pii/S1319157821003670
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