Volume 39, Number 5, October 2021
|Page(s)||1070 - 1076|
|Published online||14 December 2021|
- Koren Y, Bell R, Volinsky C. Matrix factorization techniques for recommender systems[J]. Computer, 2009, 42(8) : 30–37. [Article] [Google Scholar]
- Jamali M, Ester M. A matrix factorization technique with trust propagation for recommendation in social networks[C]//Proceedings of the fourth ACM conference on Recommender systems, 2010: 135–142 [Google Scholar]
- Zhang Fuzheng, Jing Nicholas, Lian Defu. Collaborative knowledge base embedding for recommender systems[C]//Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016: 353–362 [Google Scholar]
- Wang Hongwei, Zhang Fuzheng. DKN: deep knowledge-aware network for news recommendation[C]//Proceedings of the 2018 World Wide Web Conference, 2018: 1835–1844 [Google Scholar]
- Yu Xiao, Ren Xiang, Sun Yizhou. Personalized entity recommendation: a heterogeneous information network approach[C]//Proceedings of the 7th ACM International Conference on Web Search and Data Mining, 2014: 283–292 [Google Scholar]
- Zhao Huan, Yao Quanming, Li Jianda. Metagraph based recommendation fusion over heterogeneous information networks[C]//Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2017: 635–644 [Google Scholar]
- Wang Hongwei, Zhang Fuzheng, Wang Jialin. Exploring high-order user preference on the knowledge graph for recommender systems[J]. ACM Transactions on Information Systems, 2019, 37(3) : 1–26 [Google Scholar]
- Freeman L C. Centrality in social networks conceptual clarification[J]. Social Networks, 1978, 1(3) : 215–239. [Article] [Google Scholar]
- Freeman L C. A set of measures of centrality based on betweenness[J]. Sociometry, 1977, 40(1) : 35–41. [Article] [Google Scholar]
- Sabidussi G. The centrality index of a graph[J]. Psychometrika, 1966, 31(4) : 581–603. [Article] [Google Scholar]
- Ding Lianhong, Sun Bin, Shi Peng. Empirical study of knowledge network based on complex network theory[J]. Journal of Physics, 2019, 68(12) : 324–338 [Article] (in Chinese) [Google Scholar]
- Fan Yanni, Liu Sanyang, Bai Yiguang. Identifying critical nodes in complex networks based on multi-scale centrality algorithm[J]. The Practice and Understanding of Mathematics, 2020, 50(10) : 159–167 [Article] (in Chinese) [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.