[1] |
罗辛, 欧阳元新, 熊璋, 等. 通过相似度支持度优化基于K近邻的协同过滤算法[J]. 计算机学报, 2010, 33(8): 1437-1445.Luo X, Ouyang Y X, Xiong Z, et al. The effext of similarity in K-nearest-neighborhood based collaborative filtering[J]. Chinese Journal of Computers, 2010, 33(8): 1437-1445.
|
[2] |
范波, 程久军. 用户间多相似度协同过滤推荐算法[J]. 计算机科学, 2012, 39(1): 23-26.Fan B, Cheng J J. Collaborative filtering recommendation algorithm based on user’s multi-similarity[J]. Computer Sceience, 2012, 39(1): 23-26.
|
[3] |
LiuH F, Hu Z, Mian A, et al. A new user similarity model to improve the accuracy of collaborative filtering[J]. Knowledge-Based Systems, 2014, 56(1): 156-166.
|
[4] |
荣辉桂, 火生旭, 胡春华, 等. 基于用户相似度的协同过滤推荐算法[J]. 通信学报, 2014, 35(2): 16-24.Rong H G, Huo S X, Hu C H, et al. User similarity-based collaborative filtering recommendation algorithm[J]. Journal of Communications, 2014, 35(2): 16-24.
|
[5] |
李华, 张宇, 孙俊华. 基于用户模糊聚类的协同过滤推荐研究[J]. 计算机科学, 2012, 39(12): 83-86.Li H, Zhang Y, Sun J H. Research on collaborative filtering recommendation based on user fuzzy clustering[J]. Computer Science,2012, 39(12): 83-86.
|
[6] |
Ren X, Liu J L, Yu X, et al. ClusCite: Effective citation recommendation by information network-based clustering[C]// Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. New York, USA: ACM Press, 2014: 821-830.
|
[7] |
Zhang D Q, Hsu C H, Chen M, et al. Cold-start recommendation using bi-clustering and fusion for large-scale social recommender systems[J]. IEEE Transactions on Emerging Topics in Computing, 2014, 2(2): 239-250.
|
[8] |
Gong S J. A collaborative filtering recommendation algorithm based on user clustering and item clustering[J]. Journal of Software, 2010, 5(7): 745-752.
|
[9] |
von Luxburg U. A tutorial on spectral clustering[J]. Statistics and Computing, 2007, 17(4): 395-416.
|
[10] |
White T. Hadoop: The Definitive Guide[M]. New York: O'Reilly Media, 2012.
|
[1] |
罗辛, 欧阳元新, 熊璋, 等. 通过相似度支持度优化基于K近邻的协同过滤算法[J]. 计算机学报, 2010, 33(8): 1437-1445.Luo X, Ouyang Y X, Xiong Z, et al. The effext of similarity in K-nearest-neighborhood based collaborative filtering[J]. Chinese Journal of Computers, 2010, 33(8): 1437-1445.
|
[2] |
范波, 程久军. 用户间多相似度协同过滤推荐算法[J]. 计算机科学, 2012, 39(1): 23-26.Fan B, Cheng J J. Collaborative filtering recommendation algorithm based on user’s multi-similarity[J]. Computer Sceience, 2012, 39(1): 23-26.
|
[3] |
LiuH F, Hu Z, Mian A, et al. A new user similarity model to improve the accuracy of collaborative filtering[J]. Knowledge-Based Systems, 2014, 56(1): 156-166.
|
[4] |
荣辉桂, 火生旭, 胡春华, 等. 基于用户相似度的协同过滤推荐算法[J]. 通信学报, 2014, 35(2): 16-24.Rong H G, Huo S X, Hu C H, et al. User similarity-based collaborative filtering recommendation algorithm[J]. Journal of Communications, 2014, 35(2): 16-24.
|
[5] |
李华, 张宇, 孙俊华. 基于用户模糊聚类的协同过滤推荐研究[J]. 计算机科学, 2012, 39(12): 83-86.Li H, Zhang Y, Sun J H. Research on collaborative filtering recommendation based on user fuzzy clustering[J]. Computer Science,2012, 39(12): 83-86.
|
[6] |
Ren X, Liu J L, Yu X, et al. ClusCite: Effective citation recommendation by information network-based clustering[C]// Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. New York, USA: ACM Press, 2014: 821-830.
|
[7] |
Zhang D Q, Hsu C H, Chen M, et al. Cold-start recommendation using bi-clustering and fusion for large-scale social recommender systems[J]. IEEE Transactions on Emerging Topics in Computing, 2014, 2(2): 239-250.
|
[8] |
Gong S J. A collaborative filtering recommendation algorithm based on user clustering and item clustering[J]. Journal of Software, 2010, 5(7): 745-752.
|
[9] |
von Luxburg U. A tutorial on spectral clustering[J]. Statistics and Computing, 2007, 17(4): 395-416.
|
[10] |
White T. Hadoop: The Definitive Guide[M]. New York: O'Reilly Media, 2012.
|