User Trust & Item Ratings based Regularized Model
Abstract
Keywords: Item Rating, User Trust, Social Network, Rating.
Full Text:
PDFReferences
Adomavicius G, Tuzhilin A. Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions. IEEE Transactions on Knowledge and Data Engineering (TKDE). 2005; 17(6): 734–749p.
Huang Y, Chen X, Zhang J, Zeng D, Zhang D, Ding X. Single-trial fERPsg denoising via collaborative filtering on fERPsg images. Neuro-computing. 2015; 149; Part B, 914 – 923p.
Luo X, Ming Z, You Z, Li S, Xia Y, Leung H. Improving network topology-based protein interactome mapping via collaborative filtering. Knowledge-Based Systems (KBS). 2015; 90: 23–32p.
Guo G, Zhang J, Thalmann D. A simple but effective method to incorporate trusted neighbors in recommender systems. In Proceedings of the 20th International Conference on User Modeling, Adaptation and Personalization (UMAP). 2012; 114–125p.
Ma H, Yang H, Lyu M, King I. SoRec: social recommendation using probabilistic matrix factorization. In Proceedings of the 31st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR). 2008; 931–940p.
Ma H, Zhou D, Liu C, Lyu M, King I. Recommender systems with social regularization. In Proceedings of the 4th ACM International Conference on Web Search and Data Mining (WSDM). 2011; 287–296p.
Jamali M, Ester M. A matrix factorization technique with trust propagation for recommendation in social networks. In Proceedings of the 4th ACM Conference on Recommender Systems (RecSys). 2010; 135–142p.
Yang B, Lei Y, Liu D, Liu J. Social collaborative filtering by trust. In Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI). 2013; 2747–2753p.
DOI: https://doi.org/10.37628/ijosct.v4i2.446
Refbacks
- There are currently no refbacks.