Recommendation algorithm of probabilistic matrix factorization based on directed trust
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Lu, 2018, Brain intelligence: go beyond artificial intelligence, Mob Netw Appl, 23, 368, 10.1007/s11036-017-0932-8
Lu, 2020, User-oriented virtual mobile network resource management for vehicle communications, IEEE Trans Intell Transp Syst, 1
Lu, 2020, Deep hierarchical encoding model for sentence semantic matching, J Vis Commun Image Represent, 71, 10.1016/j.jvcir.2020.102794
Lu, 2018, Motor anomaly detection for unmanned aerial vehicles using reinforcement learning, IEEE Internet Things J, 5, 2315, 10.1109/JIOT.2017.2737479
Wang, 2020, Numerical and experimental study on the maneuverability of an active propeller control based wave glider, Appl Ocean Res, 104, 10.1016/j.apor.2020.102369
Lu, 2017, Wound intensity correction and segmentation with convolutional neural networks, Concurr Comput Pract Exp, 29, 10.1002/cpe.3927
Shokeen, 2020, A study on features of social recommender systems, Artif Intell Rev, 53, 965, 10.1007/s10462-019-09684-w
Ma H, Yang H, Lyu MR, King I. Sorec: social recommendation using probabilistic matrix factorization. In Proceedings of the 17th ACM conference on information and knowledge management, 2008, p. 931–40.
Guo G, Zhang J, Yorke-Smith N. Trustsvd: Collaborative filtering with both the explicit and implicit influence of user trust and of item ratings. In Proceedings of the AAAI conference on artificial intelligence, Vol. 29, 2015.
Yang, 2017, Social collaborative filtering by trust, IEEE Trans Pattern Anal Mach Intell, 39, 1633, 10.1109/TPAMI.2016.2605085
Zhang, 2017, Collaborative user network embedding for social recommender systems, 381
Alyari, 2018, Recommender systems: A systematic review of the state of the art literature and suggestions for future research, Kybernetes, 47, 985, 10.1108/K-06-2017-0196
Song, 2019, Session-based social recommendation via dynamic graph attention networks, 555
Ayub, 2020, Unifying user similarity and social trust to generate powerful recommendations for smart cities using collaborating filtering-based recommender systems, Soft Comput, 24, 11071, 10.1007/s00500-019-04588-x
Koren, 2009, Matrix factorization techniques for recommender systems, Computer, 42, 30, 10.1109/MC.2009.263
Mnih, 2008, Probabilistic matrix factorization, 1257
Hu, 2019, Social support, source credibility, social influence, and impulsive purchase behavior in social commerce, Int J Electron Commer, 23, 297, 10.1080/10864415.2019.1619905
Li, 2019, Personalization recommendation algorithm based on trust correlation degree and matrix factorization, IEEE Access, 7, 45451, 10.1109/ACCESS.2018.2885084
Wu L, Sun P, Fu Y, Hong R, Wang X, Wang M. A neural influence diffusion model for social recommendation. In Proceedings of the 42nd international ACM SIGIR conference on research and development in information retrieval, 2019, p. 235–44.
Lu, 2021, Concept representation by learning explicit and implicit concept couplings, IEEE Intell Syst, 36, 6, 10.1109/MIS.2020.3021188
Lu, 2021, Deep fuzzy hashing network for efficient image retrieval, IEEE Trans Fuzzy Syst, 29, 166, 10.1109/TFUZZ.2020.2984991
Jannach, 2018, Recommending based on implicit feedback, 510
Guo G, Zhang J, Yorke-Smith N. A novel Bayesian similarity measure for recommender systems. In Proceedings of the twenty-third international joint conference on artificial intelligence, 2013, p. 2619–25.