About
Contact & Profiles
A5088680031
Research Areas
- Caching and Content Delivery
- Customer churn and segmentation
- Recommender Systems and Techniques
Chongqing University of Posts and Telecommunications
2024
Recommendation systems greatly improve user experience with personalized suggestions. Much research utilizes deep learning to extract interest features, yet often neglects their real-time and dynamic aspects. This paper proposes a joint learning-based recommendation model (JLS-Rec) for e-commerce platforms, integrating both short-term long-term interests. First, users' interests, the suggests mining more detailed interests from behavior sequences. method decouples sequence in horizontal...
10.1109/tsc.2024.3376232
article
EN
IEEE Transactions on Services Computing
2024-03-21
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