Parameter-Efficiently Leveraging Session Information in Deep Learning-Based Session-Aware Sequential Recommendation

Parameter-Efficiently Leveraging Session Information in Deep Learning-Based Session-Aware Sequential Recommendation

In recommender systems, leveraging user interaction history as sequential information has recently led to significant performance improvements. However, in many online services, user interactions are often grouped into sessions that inherently share user preferences, requiring a distinct approach fr...

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Bibliographic Details
Main Authors: Jinseok Seol, Youngrok Ko, Sang-Goo Lee
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Session-aware recommendation
sequential recommendation
temporal self-attention
Online Access:https://ieeexplore.ieee.org/document/10902109/

Internet

https://ieeexplore.ieee.org/document/10902109/

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