| [1] |
NIE F P , WANG X Q , HUANG H . Clustering and projected clustering with adaptive neighbors[C]// Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. New York:ACM Press, 2014: 977-986.
|
| [2] |
WANG X B , LEI Z , GUO X J ,et al. Multview subspace clustering with intactnessaware similarity[J]. Pattern Recognition, 2019,88: 50-63.
|
| [3] |
KOREN Y , BELL R , VOLINSKY C . Matrix factorization techniques for recommender systems[J]. Computer, 2009,42(8): 30-37.
|
| [4] |
RESNICK P , IACOVOU N , SUCHAK M ,et al. GroupLens:an open architecture for collaborative filtering of netnews[C]// Proceedings of the 1994 ACM Conference on Computer Supported Cooperative Work. New York:ACM Press, 1994: 175-186.
|
| [5] |
GOLDBERG D , NICHOLS D , OKI B M ,et al. Using collaborative filtering to weave an information Tapestry[J]. Communications of the ACM, 1992,35(12): 61-70.
|
| [6] |
SARWAR B , KARYPIS G , KONSTAN J ,et al. Item-based collaborative filtering recommendation algorithms[C]// Proceedings of the 10th International Conference on World Wide Web. New York:ACM Press, 2001: 285-295.
|
| [7] |
YANG B , LEI Y , LIU D Y ,et al. Social collaborative filtering by trust[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017,39(8): 1633-1647.
|
| [8] |
LINDEN G , SMITH B , YORK J.Amazon . com recommendations:item-to-item collaborative filtering[J]. IEEE Internet Computing, 2003,7(1): 76-80.
|
| [9] |
BREESE J S , HECKERMAN D , KADIE C . Empirical analysis of predictive algorithms for collaborative filtering[C]// Proceedings of the 14th Conference on Uncertainty in Artificial Intelligence. New York:ACM Press, 1998: 43-52.
|
| [10] |
GOLDBERG K , ROEDER T , GUPTA D ,et al. Eigentaste:a constant time collaborative filtering algorithm[J]. Information Retrieval, 2001,4(2): 133-151.
|
| [11] |
BLEI D M , NG A Y , JORDAN M I . Latent dirichlet allocation[J]. The Journal of Machine Learning Research, 2003,3: 993-1022.
|
| [12] |
KOREN Y . Factor in the neighbors:scalable and accurate collaborative filtering[J]. ACM Transactions on Knowledge Discovery from Data, 2010,4(1).
|
| [13] |
XIANG L , YUAN Q , ZHAO S W ,et al. Temporal recommendation on graphs via long-and short-term preference fusion[C]// Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. New York:ACM Press, 2010: 723-732.
|
| [14] |
贾俊, 张斌, 李志远 . 基于用户行为分析的个性化推荐算法[J]. 智能科学与技术学报, 2019,1(4): 421-426.
|
|
JIA J , ZHANG B , LI Z Y . Personalized recommendation algorithm based on user behavior analysis[J]. Chinese Journal of Intelligent Science and Technology, 2019,1(4): 421-426.
|
| [15] |
AI J , LIU Y Y , SU Z ,et al. Link prediction in recommender systems based on multifactor network modeling and community detection[J]. Europhysics Letters, 2019,126(3): 38003.
|
| [16] |
XIONG F , WANG X M , CHENG J J . Subtle role of latency for information diffusion in online social networks[J]. Chinese Physics B, 2016,25(10): 108904.
|
| [17] |
JAMALI M , ESTER M . A matrix factorization technique with trust propagation for recommendation in social networks[C]// Proceedings of the 4th ACM Conference on Recommender Systems. New York:ACM Press, 2010: 1055-1066.
|
| [18] |
MA H , YANG H X , LYU M R ,et al. SoRec:social recommendation using probabilistic matrix factorization[C]// Proceedings of the 17th ACM Conference on Information and Knowledge Management. New York:ACM Press, 2008: 931-940.
|
| [19] |
XU M H , LIU S H . Semantic-enhanced and context-aware hybrid collaborative filtering for event recommendation in event-based social networks[J]. IEEE Access, 2019,7: 17493-17502.
|
| [20] |
YANG B , ZHAO P F , PING S Q ,et al. Improving the recommendation of collaborative filtering by fusing trust network[C]// Proceedings of the 8th International Conference on Computational Intelligence and Security. Piscataway:IEEE Press, 2012: 195-199.
|
| [21] |
FANG H , BAO Y , ZHANG J . Leveraging decomposed trust in probabilistic matrix factorization for effective recommendation[C]// Proceedings of the 28th AAAI Conference on Artificial Intelligence. Palo Alto:AAAI Press, 2014.
|
| [22] |
LIU Y , YANG C , MA J ,et al. A social recommendation system for academic collaboration in undergraduate research[J]. Expert Systems, 2018,36(1): e12365.
|
