Cross-domain recommendation based on latent factor alignment

Neural Computing and Applications - Tập 34 Số 5 - Trang 3421-3432 - 2022
Xu Yu1, Qiang Hu1, Hui Li1, Junwei Du1, Gao Jia1, Lijun Sun1
1School of Information Science and Technology, Qingdao University of Science and Technology, Qingdao, 266061, China

Tóm tắt

Từ khóa


Tài liệu tham khảo

Bobadilla J, Ortega F, Hernando A et al (2013) Recommender systems survey. Knowl-Based Syst 46(1):109–132

Goldberg D, Nichols D, Oki BM et al (1992) Using collaborative filtering to weave an information tapestry. Commun ACM 35(12):61–70

Xu L, Wang H, Aaron Gulliver T (2020) Outage probability performance analysis and prediction for mobile IoV networks based on ics-bp neural network. IEEE Internet Things J. https://doi.org/10.1109/JIOT.2020.3023694

Xu L, Wang J, Wang H, Aaron Gulliver T, Le KN (2020) BP neural network-based ABEP performance prediction for mobile Internet of Things communication systems. Neural Comput Appl 32(20):16025–16041

Liu L, Chen C, Pei Q et al (2020) Vehicular edge computing and networking: a survey. Mobile Netw Appl. https://doi.org/10.1007/s11036-020-01624-1

Liu L, Feng J, Pei O, Chen C, Ming Y, Shang B, Dong M (2020) Blockchain-enabled secure data sharing scheme in mobile edge computing: an asynchronous advantage actor-critic learning approach. IEEE Internet Things J. https://doi.org/10.1109/JIOT.2020.3048345

Balabanović M, Shoham Y (1997) Fab: content-based, collaborative recommendation. Commun ACM 40(3):66–72

Resnick P, Iacovou N, Suchak M, et al. (1994) GroupLens: an open architecture for collaborative filtering of netnews. In: ACM conference on Computer supported cooperative work, pp 175–186

Koren Y, Bell R, Volinsky C (2009) Matrix factorization techniques for recommender systems. Computer 42(8):30–37

Yu X, Chu Y, Jiang F, Guo Y, Gong D (2018) SVMs classification based two-side cross domain collaborative filtering by inferring intrinsic user and item features. Knowl Based Syst 141:80–91

Yu X, Jiang F, Du J, Gong D (2019) A cross-domain collaborative filtering algorithm with expanding user and item features via the latent factor space of auxiliary domains. Pattern Recogn 94:96–109

Wang H, Wang N, Yeung DY (2015) Collaborative deep learning for recommender systems. In: The 21th ACMSIGKDD International Conference on Knowledge Discovery and Data Mining, pp 1235–1244

Elkahky AM, Song Y, He X (2015) A multi-view deep learning approach for cross domain user modeling in recommendation systems. In: International Conference on World Wide Web, pp 278–288

Cremonesi P, Tripodi A, Turrin R (2012) Cross-domain recommender systems. In: IEEE International Conference on Data Mining Workshops, pp 496–503

Li B, Yang Q, Xue X (2009) Can movies and books collaborate? cross-domain collaborative filtering for sparsity reduction. In: The International Joint Conference on Artificial Intelligence, pp 2052–2057

Li B, Yang Q, Xue X (2009) Transfer learning for collaborative filtering via a rating-matrix generative model. In: International Conference on Machine Learning, pp 617–624

Gao S, Luo H, Chen D et al (2014) A cross-domain recommendation model for cyber-physical systems. IEEE Trans Emerg Topics Comput 1(2):384–393

Lawson CL, Hanson RJ (1974) Solving least squares problems. Prentice-Hall, New Jersey

Berkovsky S, Kuflik T, Ricci F (2007) Cross-domain mediation in collaborative filtering. In: International Conference on User Modeling, pp 355–359

Singh A P, Kumar G, Gupta R (2008) Relational learning via collective matrix factorization. In: ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp 650–658

Hu L, Cao J, Xu G, et al. (2013) Personalized recommendation via cross-domain triadic factorization. In: 22nd International Conference on World Wide Web, pp 595–606

Loni B, Shi Y, Larson M, et al. (2014) Cross-domain collaborative filtering with factorization machines. In: The 36th European Conference on Information Retrieval pp 656–661

Rendle S (2012) Factorization machines with libFM. ACM Trans Intell Syst Technol 3(3):1–22

Yu X, Jiang F, Du J et al (2017) A user-based cross domain collaborative filtering algorithm based on a linear decomposition model. IEEE Access 5(1):27582–27589

Caruana R (1997) Multitask learning. Mach Learn 28(1):41–75

Kohavi R (1995) A study of cross-validation and bootstrap for accuracy estimation and model selection. In: International Joint Conference on Artificial Intelligence, pp. 1137–1143.

Lay DC (2011) Linear algebra and its applications. Pearson Education, New York

Golub GH, Van Loan CF (1996) Matrix computations, 3rd edn. Johns Hopkins University Press, Baltimore

Ma H, Zhou D, Liu C, et al. (2011) Recommender systems with social regularization. In: The fourth ACM International Conference on Web Search and Data Mining, 287–296.

Yin H, Cui B, Li J et al (2012) Challenging the long tail recommendation. Proc VLDB Endow 5(9):896–907