The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
A Deep Graph Neural Network-Based Mechanism for Social Recommendations
Abstract
Nowadays, the issue of information overload is gradually gaining exposure in the Internet of Things (IoT), calling for more research on recommender system in advance for industrial IoT scenarios. With the ever-increasing prevalence of various social networks, social recommendations (SoR) will certainly become an integral application that provides more feasibly personalized information service for future IoT users. However, almost all of the existing research managed to explore and quantify correlations between user preferences and social relationships, while neglecting the correlations among item features which could further influence the topologies of some social groups. To tackle with this challenge, in this article, a deep graph neural network-based social recommendation framework (GNN-SoR) is proposed for future IoTs. First, user and item feature spaces are abstracted as two graph networks and respectively encoded via the graph neural network method. Next, two encoded spaces are embedded into two latent factors of matrix factorization to complete missing rating values in a user-item rating matrix. Finally, a large amount of experiments are conducted on three real-world data sets to verify the efficiency and stability of the proposed GNN-SoR.
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Citations
Cites
Graph Neural Networks for Social Recommendation
Fan, W., Ma, Y., Li, Q., He, Y., Zhao, E., Tang, J., & Yin, D. (2019) · The World Wide Web Conference · doi:10.1145/3308558.3313488 · Cited by 1,984
A matrix factorization technique with trust propagation for recommendation in social networks
Jamali, M., & Ester, M. (2010) · Proceedings of the fourth ACM conference on Recommender systems · doi:10.1145/1864708.1864736 · Cited by 1,632
Recommender systems with social regularization
Ma, H., Zhou, D., Liu, C., Lyu, M. R., & King, I. (2011) · Proceedings of the fourth ACM international conference on Web search and data mining · doi:10.1145/1935826.1935877 · Cited by 1,626
SoRec: social recommendation using probabilistic matrix factorization
Ma, H., Yang, H., Lyu, M. R., & King, I. (2008) · Proceedings of the 17th ACM conference on Information and knowledge management · doi:10.1145/1458082.1458205 · Cited by 1,401
Learning to recommend with social trust ensemble
Ma, H., King, I., & Lyu, M. R. (2009) · Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval · doi:10.1145/1571941.1571978 · Cited by 859
Social Collaborative Filtering by Trust
Yang, B., Lei, Y., Liu, J., & Li, W. (2017) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2016.2605085 · Cited by 671
Guo, G., Zhang, J., & Yorke-Smith, N. (2015) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v29i1.9153 · Cited by 573
Circle-based recommendation in online social networks
Yang, X., Steck, H., & Liu, Y. (2012) · Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining · doi:10.1145/2339530.2339728 · Cited by 346
Controversial users demand local trust metrics: An experimental study on epinions.com community
Massa, P., & Avesani, P. (2005) · Cited by 341
mTrust: discerning multi-faceted trust in a connected world
Tang, J., Gao, H., & Liu, H. (2012) · Proceedings of the fifth ACM international conference on Web search and data mining · doi:10.1145/2124295.2124309 · Cited by 337
Cited by
Zhou, X., Liang, W., Li, W., Yan, K., Shimizu, S., & Wang, K. I.-K. (2022) · IEEE Internet of Things Journal · doi:10.1109/jiot.2021.3130434 · Cited by 325
Quantitative evaluation of explainable graph neural networks for molecular property prediction
Rao, J., Zheng, S., Lu, Y., & Yang, Y. (2022) · Patterns · doi:10.1016/j.patter.2022.100628 · Cited by 90
Metadata
- Authors
- Guo, Z., & Wang, H.
- Venue
- IEEE Transactions on Industrial Informatics
- Published
- 2021-04
- Volume
- 17
- Issue
- 4
- Pages
- 2776-2783
- ISSN
- 1551-3203 (ISSN-L)
- 1941-0050
- OpenAlex
- W3015616869
- Cited by
- 269
- References
- 30
- FWCI
- 36.03
- Type
- journal article
- Language
- en
- Open access
- closed
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