A Hybrid MLP and CNN Architecture for Sequential Recommendation
With the proliferation of online platforms, recommendation systems have become essential tools for providing relevant information to users. Traditional recommendation methods often rely on a single user interest, making it difficult to capture the diversity and dynamic nature of user preferences. In...
Saved in:
| Main Authors: | Li Yuan, Xue-Yi Zhao |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11003926/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Reproducible Analysis of Sequential Recommender Systems
by: Filippo Betello, et al.
Published: (2025-01-01) -
Attribute-Aware Graph Aggregation for Sequential Recommendation
by: Yiming Qu, et al.
Published: (2025-04-01) -
Leveraging multimodal large language model for multimodal sequential recommendation
by: Zhaoliang Wang, et al.
Published: (2025-08-01) -
Context-Aware Negative Sampling for Sequential Recommendation
by: Jinseok Seol, et al.
Published: (2025-01-01) -
SERLogic: A Logic-Integrated Framework for Enhancing Sequential Recommendations
by: Lihang Fan
Published: (2025-01-01)