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Preliminary Evaluation of the Test-Time Training Layers in Recommendation System (Student Abstract)
November 19, 2024 Β· Declared Dead Β· π AAAI Conference on Artificial Intelligence
"No code URL or promise found in abstract"
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Authors
Tianyu Zhan, Zheqi Lv, Shengyu Zhang, Jiwei Li
arXiv ID
2411.15186
Category
cs.IR: Information Retrieval
Citations
1
Venue
AAAI Conference on Artificial Intelligence
Last Checked
4 months ago
Abstract
This paper explores the application and effectiveness of Test-Time Training (TTT) layers in improving the performance of recommendation systems. We developed a model, TTT4Rec, utilizing TTT-Linear as the feature extraction layer. Our tests across multiple datasets indicate that TTT4Rec, as a base model, performs comparably or even surpasses other baseline models in similar environments.
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