Efficient and accurate personalized product recommendations through frequent item set mining fusion algorithm
In the realm of personalized product recommendation, addressing the challenges of sparse data and “cold start” has been the primary focus. However, filtering invalid information amidst the overwhelming data on e-commerce platforms remains an underexplored issue. This paper proposes a fusion recommen...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-02-01
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| Series: | Heliyon |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844024010752 |