Dynamic Collaborative Filtering Based on User Preference Drift and Topic Evolution
Recommender systems are efficient tools for online applications; these systems exploit historical user ratings on items to make recommendations of items to users. This paper aims to enhance dynamic collaborative filtering on recommender systems under volatile conditions in which both users' preferen...
Gorde:
| Egile Nagusiak: | , |
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| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
IEEE
2020-01-01
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| Saila: | IEEE Access |
| Gaiak: | |
| Sarrera elektronikoa: | https://ieeexplore.ieee.org/document/9090188/ |
| Etiketak: |
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