Incorporating Social Network and User’s Preference in Matrix Factorization for Recommendation
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://link.springer.com/article/10.1007/s13369-018-3380-2/fulltext.html
Reference44 articles.
1. Semwal, V.B.; Singha, J.; Sharma, P.K.; Chauhan, A.; Behera, B.: An optimized feature selection technique based on incremental feature analysis for bio-metric gait data classification. Multimedia. Tools. Appl. 76(22), 24457–24475 (2017)
2. Bourkoukou, O.; El Bachari, E.; El Adnani, M.: A recommender model in e-learning environment. Arab. J. Sci. Eng. 42(2), 1–11 (2016)
3. Shi, Y.; Larson, M.; Hanjalic, A.: Collaborative filtering beyond the user-item matrix: a survey of the state of the art and future challenges. ACM Comput. Surv. 47(1), 1–45 (2014)
4. Koren, Y.; Bell, R.; Volinsky, C.: Matrix factorization techniques for recommender systems. Computer 42(8), 30–37 (2009)
5. Sarwar, B.; Karypis, G.; Konstan, J.; Riedl, J.: Item-based collaborative filtering recommendation algorithms. In: Proceedings of the 10th International Conference on World Wide Web, pp. 285–295 (2001)
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