Furniture Recommendations Based on User Propensity and Furniture Style Compatibility
As digital information becomes more voluminous and e-commerce becomes more widespread, there is a growing demand for item recommendations that match the users’ sensibilities. However, learning users’ propensities is a difficult problem, especially in the field of furniture, whi...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10430090/ |