A Social-aware Gaussian Pre-trained model for effective cold-start recommendation

Author:

Liu SiweiORCID,Wang XiORCID,Macdonald CraigORCID,Ounis IadhORCID

Publisher

Elsevier BV

Subject

Library and Information Sciences,Management Science and Operations Research,Computer Science Applications,Media Technology,Information Systems

Reference73 articles.

1. Abdollahpouri, H., Burke, R., & Mobasher, B. (2019). Managing Popularity Bias in Recommender Systems with Personalized Re-Ranking. In Proceedings of AAAI.

2. van den Berg, R., Kipf, T. N., & Welling, M. (2018). Graph Convolutional Matrix Completion. In Proceedings of SIGKDD.

3. Brown, T. B., Mann, B., Ryder, N., Subbiah, M., Kaplan, J., Dhariwal, P., et al. (2020). Language Models are Few-Shot Learners. In Proceedings of NeurIPS.

4. Social network data to alleviate cold-start in recommender system: A systematic review;Camacho;Information Processing & Management,2018

5. Chen, L., Wu, L., Hong, R., Zhang, K., & Wang, M. (2020). Revisiting graph based collaborative filtering: A linear residual graph convolutional network approach. In Proceedings of the AAAI conference on artificial intelligence, vol. 34, no. 01 (pp. 27–34).

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

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