Exploring the Side-Information Fusion for Sequential Recommendation

Side information fusion for sequential recommendation aims to mitigate the data sparsity problems by leveraging the additional knowledge besides item ID. While most state-of-the-art methods devised elaborate fusion methods to incorporate side-information, they overlooked that there are distinct char...

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Bibliographic Details
Main Authors: Seunghwan Choi, Donghoon Lee, Hyeoungguk Kang, Hyunsouk Cho
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10824815/
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