[1] Park DH, Kim HK, Choi IY, Kim JK. A literature review and classification of recommender systems research. Expert systems with applications. 2012 Sep 1;39(11):10059-72.
[2] Ricci F, Rokach L, Shapira B. Recommender systems: Techniques, applications, and challenges. Recommender systems handbook. 2021 Nov 22:1-35.
[3] Zhang S, Yao L, Sun A, Tay Y. Deep learning based recommender system: A survey and new perspectives. ACM computing surveys (CSUR). 2019 Feb 25;52(1):1-38.
[4] Isinkaye FO, Folajimi YO, Ojokoh BA. Recommendation systems: Principles, methods and evaluation. Egyptian informatics journal. 2015 Nov 1;16(3):261-73.
[5] Zhang Y, Chen X. Explainable recommendation: A survey and new perspectives. Foundations and Trends® in Information Retrieval. 2020 Mar 10;14(1):1-01.
[6] Wang X, Lu W, Ester M, Wang C, Chen C. Social recommendation with strong and weak ties. InProceedings of the 25th ACM international on conference on information and knowledge management 2016 Oct 24 (pp. 5-14).
[7] Hallinan B, Striphas T. Recommended for you: The Netflix Prize and the production of algorithmic culture. New media & society. 2016 Jan;18(1):117-37.
[8] Kouki P, Schaffer J, Pujara J, O'Donovan J, Getoor L. Personalized explanations for hybrid recommender systems. InProceedings of the 24th International Conference on Intelligent User Interfaces 2019 Mar 17 (pp. 379-390).
[9] Aggarwal CC. Recommender systems. Cham: Springer International Publishing; 2016.
[10] Zhang F, Yuan NJ, Lian D, Xie X, Ma WY. Collaborative knowledge base embedding for recommender systems. InProceedings of the 22nd ACM SIGKDD international conference on knowledge discovery and data mining 2016 Aug 13 (pp. 353-362).
[11] Nilashi M, Ibrahim O, Bagherifard K. A recommender system based on collaborative filtering using ontology and dimensionality reduction techniques. Expert Systems with Applications. 2018 Feb 1;92:507-20.
[12] Wang H, Zhao M, Xie X, Li W, Guo M. Knowledge graph convolutional networks for recommender systems. InThe world wide web conference 2019 May 13 (pp. 3307-3313).
[13] Lu J, Wu D, Mao M, Wang W, Zhang G. Recommender system application developments: a survey. Decision support systems. 2015 Jun 1;74:12-32.
[14] Danilova V, Ponomarev A. Hybrid recommender systems: The review of state-of-the-art research and applications. InProceedings of the 20th Conference of FRUCT Association 2017.
[15] Duarte TF. Recommender Systems for Candidate Genes: An Autism Case Study (Doctoral dissertation).
[16] Neves GA. Empirical study of the behavior of several Recommender System methods on SAPO Videos.
[17] Reddy BD, Kumar LS, Nelatur N. A review on datasets and tools in the research of recommender systems. Smart Technologies in Data Science and Communication: Proceedings of SMART-DSC 2019. 2020:59-70.
[18] Rudakova O. User-and system initiated approaches to content discovery.
[19] Jorro-Aragoneses JL, Díaz-Agudo B, Recio-García JA, Jimenez-Díaz G. RecoLibry Suite: a set of intelligent tools for the development of recommender systems. Automated Software Engineering. 2020 Jun;27(1):63-89.
[20] Alamdari PM, Navimipour NJ, Hosseinzadeh M, Safaei AA, Darwesh A. A systematic study on the recommender systems in the E-commerce. Ieee Access. 2020 Jun 16;8:115694-716.
[21] Bączkiewicz A, Kizielewicz B, Shekhovtsov A, Wątróbski J, Sałabun W. Methodical aspects of MCDM based E-commerce recommender system. Journal of Theoretical and Applied Electronic Commerce Research. 2021 Sep 2;16(6):2192-229.
[22] Batmaz Z, Yurekli A, Bilge A, Kaleli C. A review on deep learning for recommender systems: challenges and remedies. Artificial Intelligence Review. 2019 Jun 1;52:1-37.
[23] He C, Parra D, Verbert K. Interactive recommender systems: A survey of the state of the art and future research challenges and opportunities. Expert Systems with Applications. 2016 Sep 1;56:9-27.
