A novel collaborative filtering algorithm of machine learning by integrating restricted Boltzmann machine and trust information
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/content/pdf/10.1007/s00521-018-3509-y.pdf
Reference26 articles.
1. Sohrabi B, Mahmoudian P, Raeesi I (2012) A framework for improving e-commerce websites usability using a hybrid genetic algorithm and neural network system. Neural Comput Appl 21(5):1017–1029
2. Guo G, Zhang J, Thalmann D (2014) Merging trust in collaborative filtering to alleviate data sparsity and cold start. Knowl Based Syst 57:57–68
3. Lee WP, Ma CY (2016) Enhancing collaborative recommendation performance by combining user preference and trust-distrust propagation in social networks. Knowl Based Syst 106:125–134
4. Ma T, Zhou J, Tang M, Tian Y, Al-Dhelaan A, Al-Rodhaan M, Lee S (2015) Social network and tag sources based augmenting collaborative recommender system. IEICE Trans Inf Syst E98.D(4):902–910
5. Lika B, Kolomvatsos K, Hadjiefthymiades S (2014) Facing the cold start problem in recommender systems. Expert Syst Appl 41(4):2065–2073
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