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Multi-modality meets re-learning: mitigating negative transfer in sequential recommendation

delete2025-09-17
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OA
AI
B
Bo Peng
H
Hanwen Du
S
Srinivasan Parthasarathy
X
Xia Ning
DOI:10.1016/j.knosys.2025.114479delete
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Abstract

Abstract

En 中文
• Show negative transfer in pre-training-based sequential recommendation methods. • Develop ANT to address negative transfer by using multi-modality item information. • ANT remarkably outperforms eight state-of-the-art baselines in five target tasks. • ANT does not suffer from negative transfer in the five target tasks.
Keywords:
Recommender system
Sequential recommendation
Transferable recommendation
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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

K
Knowledge-Based Systems
IF:
7.6
Papers:
1.2W
Citations:
4.5W

Organization

T
The Ohio State University
Scholars:
4.1K
Papers: 1.6K
Citations: 7.4W