TGCN: Tag Graph Convolutional Network for Tag-Aware Recommendation
Author:
Affiliation:
1. Noah's Ark Lab, Huawei, Shenzhen, China
2. University of Glasgow, Glasgow, United Kingdom
3. Shanghai Jiao Tong University, Shanghai, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3340531.3411927
Reference36 articles.
1. Antoine Bordes Nicolas Usunier Alberto Garcia-Duran Jason Weston and Oksana Yakhnenko. 2013. Translating embeddings for modeling multi-relational data. In NeurIPS. 2787--2795. Antoine Bordes Nicolas Usunier Alberto Garcia-Duran Jason Weston and Oksana Yakhnenko. 2013. Translating embeddings for modeling multi-relational data. In NeurIPS. 2787--2795.
2. Iván Cantador Alejandro Bellog'in and David Vallet. 2010. Content-based recommendation in social tagging systems. In RecSys. 237--240. Iván Cantador Alejandro Bellog'in and David Vallet. 2010. Content-based recommendation in social tagging systems. In RecSys. 237--240.
3. Proceedings of the 2nd International Workshop on Information Heterogeneity and Fusion in Recommender Systems - HetRec '11
4. Chaochao Chen Xiaolin Zheng Yan Wang Fuxing Hong Deren Chen etal 2016. Capturing Semantic Correlation for Item Recommendation in Tagging Systems. In AAAI. 108--114. Chaochao Chen Xiaolin Zheng Yan Wang Fuxing Hong Deren Chen et al. 2016. Capturing Semantic Correlation for Item Recommendation in Tagging Systems. In AAAI. 108--114.
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