An Item–Item Collaborative Filtering Recommender System Based on Item Reviews: An Approach with Deep Learning

Item−item collaborative filtering is a sub-type of a recommender system that applies the items’ similarities for recommending a new set of items to the user. Usually, a traditional recommender system utilizes items’ ratings given by the user for deducing their preferences for recommending items. How...

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Váldodahkkit:	Falguni Roy, Mahamudul Hasan
Materiálatiipa:	Artigo
Giella:	Inglês
Almmustuhtton:	World Scientific Publishing 2023-11-01
Ráidu:	Vietnam Journal of Computer Science
Fáttát:	Deep learning item–item collaborative filtering rating prediction recurrent neural network user–item score matrix
Liŋkkat:	https://www.worldscientific.com/doi/10.1142/S2196888823500124
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