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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| Autores principales: | , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
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World Scientific Publishing
2023-11-01
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| Colección: | Vietnam Journal of Computer Science |
| Materias: | |
| Acceso en línea: | https://www.worldscientific.com/doi/10.1142/S2196888823500124 |
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