C Luo, W Pang, Z Wang - arXiv preprint arXiv:1412.7610, 2014 - shichuan.org
Collaborative filtering algorithms haven been widely used in recommender systems. However, they often suffer from the data sparsity and cold start problems. With the increasing …
C Luo, W Pang, Z Wang - arXiv preprint arXiv:1412.7610, 2014 - researchgate.net
Collaborative filtering algorithms haven been widely used in recommender systems. However, they often suffer from the data sparsity and cold start problems. With the increasing …
C Luo, W Pang, Z Wang, C Lin - 14th IEEE International …, 2014 - abdn.elsevierpure.com
In this paper, we investigate the social-based recommendation algorithms on heterogeneous social networks and proposed Hete-CF, a social collaborative filtering …
C Luo, W Pang, Z Wang, C Lin - Proceedings of the 2014 IEEE …, 2014 - dl.acm.org
In this paper, we investigate the social-based recommendation algorithms on heterogeneous social networks and proposed Hete-CF, a social collaborative filtering …
C Luo, W Pang, Z Wang, C Lin - 2014 IEEE International …, 2014 - aura.abdn.ac.uk
In this paper, we investigate the social-based rec-ommendation algorithms on heterogeneous social networks and proposed Hete-CF, a social collaborative filtering …
In this paper, we investigate the social-based rec-ommendation algorithms on heterogeneous social networks and proposed Hete-CF, a social collaborative filtering …
C Luo, W Pang, Z Wang - arXiv preprint arXiv:1412.7610, 2014 - Citeseer
Collaborative filtering algorithms haven been widely used in recommender systems. However, they often suffer from the data sparsity and cold start problems. With the increasing …
C Luo, W Pang, Z Wang, C Lin - 2014 IEEE International Conference …, 2014 - computer.org
In this paper, we investigate the social-based recommendation algorithms on heterogeneous social networks and proposed Hete-CF, a social collaborative filtering …
C Luo, W Pang, Z Wang - arXiv preprint arXiv:1412.7610, 2014 - academia.edu
Collaborative filtering algorithms haven been widely used in recommender systems. However, they often suffer from the data sparsity and cold start problems. With the increasing …