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Implemented our MFDGE approach and several existing social recommendation algorithms.

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Dual_Graph_Embedding_Matrix_Factorization

Implemented our proposed MFDGE approach (Integrating Dual User Network Embedding with Matrix Factorization for Social Recommender Systems), and several social recommendation algorithms including:

  1. SocialRec
    Ma, Hao, et al. "Sorec: social recommendation using probabilistic matrix factorization." Proceedings of the 17th ACM conference on Information and knowledge management. ACM, 2008.

  2. RSTE
    Ma, Hao, Irwin King, and Michael R. Lyu. "Learning to recommend with social trust ensemble." Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval. ACM, 2009.

  3. SocialMF
    Jamali, Mohsen, and Martin Ester. "A matrix factorization technique with trust propagation for recommendation in social networks." Proceedings of the fourth ACM conference on Recommender systems. ACM, 2010.

  4. SocialReg
    Ma, Hao, et al. "Recommender systems with social regularization." Proceedings of the fourth ACM international conference on Web search and data mining. ACM, 2011.

  5. TrustSVD
    Guo, Guibing, Jie Zhang, and Neil Yorke-Smith. "TrustSVD: Collaborative Filtering with Both the Explicit and Implicit Influence of User Trust and of Item Ratings." AAAI. Vol. 15. 2015.

  6. CUNE
    Chuxu Zhang, Lu Yu, Yan Wang, Chirag Shah, Xiangliang Zhang. "Collaborative User Network Embedding for Social Recommender Systems." SDM, 2017.

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Implemented our MFDGE approach and several existing social recommendation algorithms.

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