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Global and Local Tensor Factorization for Multi-criteria Recommender System
In multi-criteria recommender systems, matrix factorization characterizes users and items via latent factor vectors inferred from user-item rating patterns. However, two-dimensional matrix factorization models may not be able to cope with the recommendation problem that involves additional criterion...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7660452/ https://www.ncbi.nlm.nih.gov/pubmed/33205096 http://dx.doi.org/10.1016/j.patter.2020.100023 |