Diff4Rec: Sequential Recommendation with Curriculum-scheduled Diffusion Augmentation

Author:

Wu Zihao1ORCID,Wang Xin1ORCID,Chen Hong1ORCID,Li Kaidong2ORCID,Han Yi2ORCID,Sun Lifeng1ORCID,Zhu Wenwu1ORCID

Affiliation:

1. Tsinghua University, Beijing, China

2. Yangshipin Co., Ltd., Beijing, China

Funder

National Key Research and Development Program of China

Beijing Key Lab of Networked Multimedia

National Natural Science Foundation of China

Beijing National Research Center For Information Science And Technology

Publisher

ACM

Reference47 articles.

1. Curriculum learning

2. Contrastive Curriculum Learning for Sequential User Behavior Modeling via Data Augmentation

3. Nanxin Chen , Yu Zhang , Heiga Zen , Ron J Weiss , Mohammad Norouzi , and William Chan . 2021 b. WaveGrad: Estimating Gradients for Waveform Generation. In International Conference on Learning Representations. Nanxin Chen, Yu Zhang, Heiga Zen, Ron J Weiss, Mohammad Norouzi, and William Chan. 2021b. WaveGrad: Estimating Gradients for Waveform Generation. In International Conference on Learning Representations.

4. Curriculum Meta-Learning for Next POI Recommendation

5. Sequential Scenario-Specific Meta Learner for Online Recommendation

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1. A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys);Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

2. Large Language Model with Curriculum Reasoning for Visual Concept Recognition;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

3. Federated Recommender System Based on Diffusion Augmentation and Guided Denoising;ACM Transactions on Information Systems;2024-08-13

4. Curriculum Learning: Theories, Approaches, Applications, Tools, and Future Directions in the Era of Large Language Models;Companion Proceedings of the ACM Web Conference 2024;2024-05-13

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