1. Mehta, Rachana; Rana, Keyur, "A review on matrix factorization techniques in recommender systems," in 2nd International Conference on Communication Systems, Computing and IT Applications (CSCITA), Mumbai, India, 2017.
2. Y. Koren, "Factor in the neighbors: Scalable and accurate collaborative filtering," ACM Transactions on Knowledge Discovery from Data, vol. 4, no. 1, pp. 1-24, 2010.
3. Sarwar, Badrul; Karypis, George; Konstan, Joseph; Riedl, John, "Application of Dimensionality Reduction in Recommender System - A Case Study," Minnesota Univ Minneapolis Dept of Computer, 2000.
4. Koren, Yehuda; Bell, Robert; Volinsky, Chris, "Matrix factorization techniques for recommender," Computer, vol. 42, no. 8, pp. 30-37, 2009.
5. Luo, Xin; Zhou, Mengchu; Xia, Yunni; Zhu, Qingsheng, "An Efficient Non-Negative Matrix-Factorization-Based Approach to Collaborative Filtering for Recommender Systems," IEEE Transactions on Industrial Informatics, vol. 10, no. 2, pp. 1273-1284, 2014.
6. A. Charu C., Recommender Systems, Springer International Publishing, 2016.
7. Schafer, J. Ben; Frankowski, Dan; Herlocker, Jon; Sen, Shilad, "Collaborative Filtering Recommender Systems," in The Adaptive Web. Lecture Notes in Computer Science, Berlin, Heidelberg, Springer, 2007, pp. 291-324.
8. Tohidi, Nasim; Dadkhah, Chitra, "Improving the performance of video Collaborative Filtering Recommender Systems using Optimization Algorithm," International Journal of Nonlinear Analysis and Applications, vol. 11, no. 1, pp. 283-295, 2020.
9. Hu, Rong; Pu, Pearl, "Enhancing collaborative filtering systems with personality information," in Association for Computing Machinery, New York, United States, 2011.
10. Khwaja, Mohammed; Ferrer, Miquel; Iglesias, Jesus Omana; Faisal, A Aldo; Matic, Aleksandar, "Aligning daily activities with personality: towards a recommender system for improving wellbeing," in 13th ACM Conference on Recommender Systems, 2019.
11. Abdi, Mohamed Hussein; Okeyo, George Onyango; Mwangi, Ronald Waweru, "Matrix Factorization Techniques for Context-Aware Collaborative Filtering Recommender Systems: A Survey," Computer and Information Science, vol. 11, no. 2, pp. 1-10, 2018.
12. Gupta, Sonali; Gulati, Payal; Bhatia, Surbhi; Madaan, Rosy, "An automatic approach to music recommendations based on individual personality traits," in the International Conference on Innovative Computing & Communications (ICICC), Delhi, India, 2020.
13. Cheng, Chen; Xia, Fen; Zhang, Tong; King, Irwin; Lyu, Michael R., "Gradient boosting factorization machines," in 8th ACM Conference on Recommender systems, 2014.
14. Son, Juyeon; Choi, Wonyoung; Choi, Sang-Min, "Trust information network in social Internet of things using trustaware recommender systems," International Journal of Distributed Sensor Networks, vol. 16, no. 4, 2020.
15. Feng, He; Qian, Xueming, "Recommendation via user's personality and social contextual," in 22nd ACM international conference on Information & Knowledge Management, 2013.
16. Khan, Euna Mehnaz; Mukta, Md Saddam Hossain; Ali, Mohammed Eunus; Mahmud, Jalal, "Predicting Users’ Movie Preference and Rating Behavior from Personalityand Values," ACM Transactions on Interactive Intelligent Systems, vol. 10, no. 3, pp. 1-25, 2020
17. Gao, Rui; Hao, Bibo; Bai, Shuotian; Li, Lin; Li, Ang; Zhu,Tingshao, "Improving user profile with personality traits predicted from social media content," in 7th ACM conference on recommender systems, 2013
18. Beigi, Ghazaleh; Tang, Jiliang; Liu, Huan, "Signed link analysis in social media networks," in 10th International Conference on Web and Social Media, Cologne, Germany,2016.
19. George, Thomas; Merugu, Srujana, "Ascalable collaborative filtering framework based on co-clustering," in Fifth IEEE International Conference on Data Mining (ICDM'05), Houston, TX, USA, 2005.
20. Yakhchi, Shahpar; Ghafari, Seyed Mohssen; Orgun, Mehmet, "TAP: A Two-Level Trust and Personality-Aware Recommender System," in International Conference on Service-Oriented Computing, Dubai, United Arab Emirates,2020.
21. Zhang, Haiyang; Ganchev, Ivan; Nikolov, Nikola S.; Ji, Zhanlin; O’Droma, Máirtín, "FeatureMF: An Item Feature Enriched Matrix Factorization Model for Item Recommendation," IEEE Access, vol. 9, pp. 65266-65276,2021
22. Tang, Jiliang; Aggarwal, Charu; Liu, Huan, "Recommendations in signed social networks," in The 25th International Conference on World Wide Web, 2016.
23. C. H. Goulden, Methods of Statistical Analysis, vol. 31,Wiley, 1956, pp. 989-990.
24. W. Ford, "Algorithms," in Numerical Linear Algebra with Applications, Elsevier, 2015, pp. 163-179.
25. Christensen, Jesper; Bastien, Christophe, "Introduction to General Optimization Principles and Methods," in Nonlinear Optimization of Vehicle Safety Structures,Elsevier, 2016, pp. 107-168
26. Harper, F. Maxwell; Konstan, Joseph A., "The movielens datasets: History and context," ACM Transactions on Interactive Intelligent Systems, vol. 5, no. 4, pp. 1-19, 2015.
27. Chan, Simon; Treleaven, Philip, "Continuous Model Selection for Large-Scale Recommender Systems," in Handbook of Statistics, Elsevier, 2015, pp. 107-124.
28. Beigi, Ghazaleh; Ranganath, Suhas; Liu, Huan, "Signed Link Prediction with Sparse Data: The Role of Personality Information," in The 2019 World Wide Web Conference,2019.
29. Sagdic, A.; Tekinbas, C.; Arslan, E.; Kucukyilmaz, Tayfun, "A Scalable K-Nearest Neighbor Algorithm for Recommendation System Problems," in 43rd International Convention on Information, Communication and Electronic Technology (MIPRO), Opatija, Croatia, 2020.