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Incorporating social relations into the recommendation system, i.e.
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H. Ma, H. Yang, M. R. Lyu, and I. King, “Sorec: social recommendation using probabilistic matrix factorization,” in Proceedings of the 17th ACM conference on Information and knowledge management (CIKM) , 2008, pp. 931–940
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S. Baluja, R. Seth, D. Sivakumar, Y. Jing, J. Yagnik, S. Kumar, D. Ravichandran, and M. Aly, “Video suggestion and discovery for youtube: taking random walks through the view graph,” in International World Wide Web Conference (WWW) , 2008
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2009
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M. Jamali and M. Ester, “A matrix factorization technique with trust propagation for recommendation in social networks,” in Proceedings of the fourth ACM conference on Recommender systems (RecSys) , 2010, pp. 135–142
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H. Ma, D. Zhou, C. Liu, M. R. Lyu, and I. King, “Recommender systems with social regularization,” in Proceedings of ACM International Conference on Web Search and Data Mining (WSDM) , 2011, pp. 287–296
2011
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N. Rao, H.-F. Yu, P. K. Ravikumar, and I. S. Dhillon, “Collaborative filtering with graph information: Consistency and scalable methods,” in Advances in neural information processing systems , 2015, pp. 2107–2115
2015
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M. Abadi, A. Agarwal, P. Barham, E. Brevdo, Z. Chen, C. Citro, G. S. Corrado, A. Davis, J. Dean, M. Devin, S. Ghemawat, I. Goodfellow, A. Harp, G. Irving, M. Isard, Y. Jia, R. Jozefowicz, L. Kaiser, M. Kudlur, J. Levenberg, D. Mane, R. Monga, S. Moore, D. Murray, C. Olah, M. Schuster, J. Shlens, B. Steiner, I. Sutskever, K. Talwar, P. Tucker, V. Vanhoucke, V. Vasudevan, F. Viegas, O. Vinyals, P. Warden, M. Wattenberg, M. Wicke, Y. Yu, and X. Zheng, “Tensorflow: Large-scale machine learning on heterogeneous distributed systems,” 2016
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C.-M. Chen, M.-F. Tsai, Y.-C. Lin, and Y.-H. Yang, “Query-based music recommendations via preference embedding,” in ACM International Conference on Recommender Systems (RecSys) . ACM, 2016, pp. 79–82
2016
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X. Wang, X. He, L. Nie, and T.-S. Chua, “Item silk road: Recommending items from information domains to social users,” in International Conference on Research and Development in Information Retrieval (SIGIR) , 2017
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2017
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2017
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T. N. Kipf and M. Welling, “Semi-supervised classification with graph convolutional networks,” The International Conference on Learning Representations (ICLR) , 2017
2017
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2017
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H. Van Lierde and T. W. Chow, “A hypergraph model for incorporating social interactions in collaborative filtering,” in Proceedings of the 2017 International Conference on Data Mining, Communications and Information Technology , 2017, pp. 1–6
2017
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R. Ying, R. He, K. Chen, P. Eksombatchai, W. L. Hamilton, and J. Leskovec, “Graph convolutional neural networks for web-scale recommender systems,” in International ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) . ACM, 2018, pp. 974–983
2018
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T.-H. Lin, C. Gao, and Y. Li, “Cross: Cross-platform recommendation for social e-commerce,” in Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval , 2019, pp. 515–524
2019
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A. van den Oord, Y. Li, and O. Vinyals, “Representation learning with contrastive predictive coding,” 2019
2019
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W. Fan, Y. Ma, Q. Li, Y. He, E. Zhao, J. Tang, and D. Yin, “Graph neural networks for social recommendation,” in International World Wide Web Conference (WWW) , 2019
2019
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X. Wang, X. He, Y. Cao, M. Liu, and T.-S. Chua, “Kgat: Knowledge graph attention network for recommendation,” in International ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) , 2019
2019
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M. Schlichtkrull, T. N. Kipf, P. Bloem, R. Van Den Berg, I. Titov, and M. Welling, “Modeling relational data with graph convolutional networks,” in European Semantic Web Conference (ESWC) . Springer, 2018, pp. 593–607
2018
Cited alongside, same era.
C. Eksombatchai, P. Jindal, J. Z. Liu, Y. Liu, R. Sharma, C. Sugnet, M. Ulrich, and J. Leskovec, “Pixie: A system for recommending 3+ billion items to 200+ million users in real-time,” in International World Wide Web Conference (WWW) , 2018
2018
Cited alongside, same era.
J.-H. Yang, C.-M. Chen, C.-J. Wang, and M.-F. Tsai, “Hop-rec: high-order proximity for implicit recommendation,” in ACM International Conference on Recommender Systems (RecSys) , 2018
2018
Cited alongside, same era.
P. Veličković, G. Cucurull, A. Casanova, A. Romero, P. Lio, and Y. Bengio, “Graph attention networks,” The International Conference on Learning Representations (ICLR) , 2018
2018
Cited alongside, same era.
K. Xu, W. Hu, J. Leskovec, and S. Jegelka, “How powerful are graph neural networks?” The International Conference on Learning Representations (ICLR) , 2018
2018
Cited alongside, same era.
L. Wu, P. Sun, Y. Fu, R. Hong, X. Wang, and M. Wang, “A neural influence diffusion model for social recommendation,” in International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) , 2019, pp. 235–244
2019
Cited alongside, same era.
C. Chen, M. Zhang, Y. Liu, and S. Ma, “Social attentional memory network: Modeling aspect- and friend-level differences in recommendation,” in WSDM , 2019
2019
Cited alongside, same era.
Q. Wu, H. Zhang, X. Gao, P. He, P. Weng, H. Gao, and G. Chen, “Dual graph attention networks for deep latent representation of multifaceted social effects in recommender systems,” in WWW , 2019
2019
Cited alongside, same era.
J. Yu, M. Gao, H. Yin, J. Li, C. Gao, and Q. Wang, “Generating reliable friends via adversarial training to improve social recommendation,” in 2019 IEEE International Conference on Data Mining (ICDM) . IEEE, 2019, pp. 768–777
2019
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C. Chen, M. Zhang, Y. Liu, and S. Ma, “Social attentional memory network: Modeling aspect-and friend-level differences in recommendation,” in Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining , 2019, pp. 177–185
2019
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C.-M. Chen, C.-J. Wang, M.-F. Tsai, and Y.-H. Yang, “Collaborative similarity embedding for recommender systems,” in International World Wide Web Conference (WWW) , 2019
2019
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S. Wu, Y. Tang, Y. Zhu, L. Wang, X. Xie, and T. Tan, “Session-based recommendation with graph neural networks,” in AAAI Conference on Artificial Intelligence (AAAI) , 2019
2019
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W. Yu and Z. Qin, “Spectrum-enhanced pairwise learning to rank,” in The World Wide Web Conference , 2019, pp. 2247–2257
2019
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L. Wu, J. Li, P. Sun, R. Hong, Y. Ge, and M. Wang, “Diffnet++: A neural influence and interest diffusion network for social recommendation,” in TKDE , 2020
2020
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K. Walid and R. Steffen, “On sampled metrics for item recommendation,” in KDD , 2020
2020
Later among the works it cites.
Y. Zheng, C. Gao, X. He, Y. Li, and D. Jin, “Price-aware recommendation with graph convolutional networks,” in IEEE International Conference on Data Engineering (ICDE) , 2020
2020
Later among the works it cites.
J. Chang, C. Gao, X. He, D. Jin, and Y. Li, “Bundle recommendation with graph convolutional networks,” in International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) , 2020
2020
Later among the works it cites.
J. Yu, H. Yin, J. Li, Q. Wang, N. Q. V. Hung, and X. Zhang, “Self-supervised multi-channel hypergraph convolutional network for social recommendation,” 2021
2021
Closest in time.
J. Zhang, C. Gao, D. Jin, and Y. Li, “Group-buying recommendation for social e-commerce,” in 2021 IEEE 37th International Conference on Data Engineering (ICDE) . IEEE, 2021
2021
Closest in time.
S. Ji, Y. Feng, R. Ji, X. Zhao, W. Tang, and Y. Gao, “Dual channel hypergraph collaborative filtering,” in Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining , 2020, pp. 2020–2029
2029
Closest in time.