The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.
Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback
Abstract
Reorganizing implicit feedback of users as a user-item interaction graph facilitates the applications of graph convolutional networks (GCNs) in recommendation tasks. In the interaction graph, edges between user and item nodes function as the main element of GCNs to perform information propagation and generate informative representations. Nevertheless, an underlying challenge lies in the quality of interaction graph, since observed interactions with less-interested items occur in implicit feedback (say, a user views micro-videos accidentally). This means that the neighborhoods involved with such false-positive edges will be influenced negatively and the signal on user preference can be severely contaminated. However, existing GCN-based recommender models leave such challenge under-explored, resulting in suboptimal representations and performance.
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Cites
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LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation
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Self-citationBPR: Bayesian Personalized Ranking from Implicit Feedback
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Cited by
Zhao, F., Zhang, C., & Geng, B. (2024) · ACM Computing Surveys · doi:10.1145/3649447 · Cited by 480
Interest-aware Message-Passing GCN for Recommendation
Liu, F., Cheng, Z., Zhu, L., Gao, Z., & Nie, L. (2021) · Proceedings of the Web Conference 2021 · doi:10.1145/3442381.3449986 · Cited by 299
Self-citationBootstrap Latent Representations for Multi-modal Recommendation
Zhou, X., Zhou, H., Liu, Y., Zeng, Z., Miao, C., Wang, P., You, Y., & Jiang, F. (2023) · Proceedings of the ACM Web Conference 2023 · doi:10.1145/3543507.3583251 · Cited by 298
LLMRec: Large Language Models with Graph Augmentation for Recommendation
Wei, W., Ren, X., Tang, J., Wang, Q., Su, L., Cheng, S., Wang, J., Yin, D., & Huang, C. (2024) · Proceedings of the 17th ACM International Conference on Web Search and Data Mining · doi:10.1145/3616855.3635853 · Cited by 268
Metadata
- Authors
- Wei, Y., Wang, X., Nie, L., He, X., & Chua, T.-S.
- Venue
- Proceedings of the 28th ACM International Conference on Multimedia
- Publisher
- ACM
- Published
- 2020-10-12
- Pages
- 3541-3549
- OpenAlex
- W3093002391
- Cited by
- 373
- References
- 44
- FWCI
- 24.41
- Type
- conference paper
- Language
- en
- Open access
- closed
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