Author:
Yin Fulian,Fu Ruiling,Feng Xiaoli,Xing Tongtong,Ji Meiqi
Funder
High-quality and Cutting-edge Disciplines Construction Project for Universities in Beijing
State Key Laboratory of Media Convergence and Communication
Fundamental Research Funds for the Central Universities
National Key Research and Development Program
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Software
Reference51 articles.
1. Pu P, Chen L, Hu R (2012) Evaluating recommender systems from the user’s perspective: survey of the state of the art. User Model User-Adap Inter 22(4–5):317–355
2. Khusro S, Ali Z, Ullah I (2016) Recommender Systems: Issues, Challenges, and Research Opportunities. In: Kim, K., Joukov, N. (eds) Information Science and Applications (ICISA) 2016. Lecture Notes in Electrical Engineering, vol 376. Springer, Singapore. https://doi.org/10.1007/978-981-10-0557-2_112
3. Zhao Z-D, Shang M (2010) User-Based Collaborative-Filtering Recommendation Algorithms on Hadoop. In: Proceedings of the 2010 Third International Conference on Knowledge Discovery and Data Mining, pp 478–481
4. Sarwar B, Karypis G, Konstan J, Riedl J (2001) Item-based collaborative filtering recommendation algorithms. In: Proceedings of the 10th international conference on World Wide Web, pp 285–295
5. Balabanović M, Shoham Y (1998) Fab: content-based, collaborative recommendation. Commun ACM 40(3):66–72
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