[1] |
魏慧娟,戴牡红,宁勇余.基于最近邻居聚类的协同过滤推荐算法[J].中国科学技术大学学报,2016, 46(9):736-742.WEI Huijuan, DAI Muhong, NING Yongyu. Collaborative filtering recommendation algorithm based on nearest neighbor clustering[J]. Journal of University of Science and Technology of China, 2016, 46(9): 736-742.
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[2] |
陈洁敏,汤庸,李建国,等.个性化推荐算法研究[J].华南师范大学学报,2014,46(5):8-15.CHEN Jiemin,TANG Yong, LI Jianguo, et al. Survey of personalized recommendation algorithm[J]. Journal of South China Normal University, 2014, 46(5):8-15.
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[3] |
WU M L, CHANG C H,LIU R Z.Integrating content-based filtering with collaborative filtering using co-clustering with augmented matrices[J].Expert Systems with Applications,2014, 41(6):2754-2761.
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[4] |
冷亚军,陆青,梁昌勇.协同过滤推荐技术综述[J].模式识别与人工智能,2014,27(8):720-734.LENG Yajun, LU Qing, LIANG Changyong. Survey of recommendation based on collaborative filting[J]. Pattern Recognition and Artificial Intelligence, 2014,27(8):720-734.
|
[5] |
杨武,唐瑞,卢玲.基于内容的推荐与协同过滤融合的新闻推荐方法[J].计算机应用,2016,36(2):414-418.YANG Wu, TANG Rui, LU Ling. News recommendation method by fusion of content-based recommendation and collaborative filtering[J]. Journal of Computer Application, 2016,36(2):414-418.
|
[6] |
郭云飞,方耀宁,扈红超.基于Logistic函数的社会化矩阵分解推荐算法[J].北京理工大学学报,2016, 36(1):70-74.GUO Yunfei, FANG Yaoning, HU Hongchao. A social matrix factorization recommender algorithm based on logistic function[J]. Transactions of Beijing Institute of Technology, 2016, 36(1):70-74.
|
[7] |
张宜浩,朱小飞,徐传运,等.基于用户评论的深度情感分析和多视图协同融合的混合推荐方法[J].计算机学报,2019, 42(6): 1316-1333.ZHANG Yihao, ZHU Xiaofei, XU Chuanyun, et al. Hybrid recommendation approach based on deep sentiment analysis of user reviews and multi-view collaborative fusion[J]. Chinese Journal of Computers, 2019, 42(6):1316-1333.
|
[8] |
王巍巍,王志刚,潘亮铭,等.双语影视知识图谱的构建研究[J].北京大学学报,2016, 52(01):25-34.WANG Weiwei, WANG Zhigang, PAN Liangming, et al. Research on the construction of bilingual movie knowledge graph[J]. Acta Scientiarum Naturalium Universitatis Pekinensis, 2016, 52(01):25-34.
|
[9] |
吴玺煜,陈启买,刘海,等.基于知识图谱表示学习的协同过滤推荐算法[J].计算机工程,2018,44(02):226-232, 263.WU Xiyu, CHEN Qimai, LIU Hai, et al. Collaborative filtering recommendation algorithm based on representation learning of knowledge graph[J]. Computer Engineering, 2018, 44(02):226-232, 263.
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[10] |
BOBADILLA J. Collaborative filtering based on significances[J]. Information Sciences,2012, 185(1):1-17.
|
[11] |
ZHOU T Q, CHEN L N, SHEN J. Movie recommendation system employing the user-based CF in Cloud computing[C]// IEEE International Conference on Computational Science and Engineering. Guangzhou, China: IEEE, 2017:46-50.
|
[12] |
ZHANG H Y, GANCHEV I, NIKOLOV N S, et al. A trust-enriched approach for item-based collaborative filtering recommendations[C]// IEEE, International Conference on Intelligent Computer Communication and Processing. Cluj-Napoca, Romania:IEEE, 2016:65-68.
|
[13] |
肖文强,姚世军,吴善明.一种改进的top-N协同过滤推荐算法[J].计算机应用研究,2018,35(1):105-108,112.XIAO Wenqiang, YAO Shijun, WU Shanming. Improved top-N collaborative filtering recommendation algorithm[J].Application Research of Computers,2018,35(1):105-108,112.
|
[14] |
刘峤,李杨,段宏,等.知识图谱构建技术综述[J].计算机研究与发展,2016,53(3):582-600.LIU Qiao, LI Yang, DUAN Hong, et al. Knowledge graph construction techniques[J]. Journal of Computer Research and Development,2016,53(3):582-600.
|
[15] |
MIKOLOV T, SUTSKEVER I, CHEN K, et al. Distributed representations of words and phrases and their compositionality[C]// International Conference on Neural Information Processing Systems. Daegu, Korea: Curran Associates Inc.2013:3111-3119.
|
[16] |
FAN M, ZHOU Q, ZHENG T F, et al. Distributed representation learning for knowledge graphs with entity descriptions[J]. Pattern Recognition Letters, 2017,93(1):31-37.
|
[17] |
BENGIO Y, COURVILLE A, VINCENT P. Representation learning: A review and new perspectives[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2013, 35(8):1798-1828.
|
[18] |
刘知远,孙茂松,林衍凯,等.知识表示学习研究进展[J].计算机研究与发展,2016, 53(2):247-261.LIU Zhiyuan, SUN Maosong, LIN Yankai, et al. Knowledge representation learning: A review[J]. Journal of Computer Research and Development,2016, 53(2):247-261.
|
[19] |
BORDES A , USUNIER N , GARCIA-DURAN A , et al. Translating embeddings for modeling multi-relational data[C]// International Conference on Neural Information Processing Systems. Daegu, Korea:Curran Associates Inc. 2013: 2787-2795.)
|
[1] |
魏慧娟,戴牡红,宁勇余.基于最近邻居聚类的协同过滤推荐算法[J].中国科学技术大学学报,2016, 46(9):736-742.WEI Huijuan, DAI Muhong, NING Yongyu. Collaborative filtering recommendation algorithm based on nearest neighbor clustering[J]. Journal of University of Science and Technology of China, 2016, 46(9): 736-742.
|
[2] |
陈洁敏,汤庸,李建国,等.个性化推荐算法研究[J].华南师范大学学报,2014,46(5):8-15.CHEN Jiemin,TANG Yong, LI Jianguo, et al. Survey of personalized recommendation algorithm[J]. Journal of South China Normal University, 2014, 46(5):8-15.
|
[3] |
WU M L, CHANG C H,LIU R Z.Integrating content-based filtering with collaborative filtering using co-clustering with augmented matrices[J].Expert Systems with Applications,2014, 41(6):2754-2761.
|
[4] |
冷亚军,陆青,梁昌勇.协同过滤推荐技术综述[J].模式识别与人工智能,2014,27(8):720-734.LENG Yajun, LU Qing, LIANG Changyong. Survey of recommendation based on collaborative filting[J]. Pattern Recognition and Artificial Intelligence, 2014,27(8):720-734.
|
[5] |
杨武,唐瑞,卢玲.基于内容的推荐与协同过滤融合的新闻推荐方法[J].计算机应用,2016,36(2):414-418.YANG Wu, TANG Rui, LU Ling. News recommendation method by fusion of content-based recommendation and collaborative filtering[J]. Journal of Computer Application, 2016,36(2):414-418.
|
[6] |
郭云飞,方耀宁,扈红超.基于Logistic函数的社会化矩阵分解推荐算法[J].北京理工大学学报,2016, 36(1):70-74.GUO Yunfei, FANG Yaoning, HU Hongchao. A social matrix factorization recommender algorithm based on logistic function[J]. Transactions of Beijing Institute of Technology, 2016, 36(1):70-74.
|
[7] |
张宜浩,朱小飞,徐传运,等.基于用户评论的深度情感分析和多视图协同融合的混合推荐方法[J].计算机学报,2019, 42(6): 1316-1333.ZHANG Yihao, ZHU Xiaofei, XU Chuanyun, et al. Hybrid recommendation approach based on deep sentiment analysis of user reviews and multi-view collaborative fusion[J]. Chinese Journal of Computers, 2019, 42(6):1316-1333.
|
[8] |
王巍巍,王志刚,潘亮铭,等.双语影视知识图谱的构建研究[J].北京大学学报,2016, 52(01):25-34.WANG Weiwei, WANG Zhigang, PAN Liangming, et al. Research on the construction of bilingual movie knowledge graph[J]. Acta Scientiarum Naturalium Universitatis Pekinensis, 2016, 52(01):25-34.
|
[9] |
吴玺煜,陈启买,刘海,等.基于知识图谱表示学习的协同过滤推荐算法[J].计算机工程,2018,44(02):226-232, 263.WU Xiyu, CHEN Qimai, LIU Hai, et al. Collaborative filtering recommendation algorithm based on representation learning of knowledge graph[J]. Computer Engineering, 2018, 44(02):226-232, 263.
|
[10] |
BOBADILLA J. Collaborative filtering based on significances[J]. Information Sciences,2012, 185(1):1-17.
|
[11] |
ZHOU T Q, CHEN L N, SHEN J. Movie recommendation system employing the user-based CF in Cloud computing[C]// IEEE International Conference on Computational Science and Engineering. Guangzhou, China: IEEE, 2017:46-50.
|
[12] |
ZHANG H Y, GANCHEV I, NIKOLOV N S, et al. A trust-enriched approach for item-based collaborative filtering recommendations[C]// IEEE, International Conference on Intelligent Computer Communication and Processing. Cluj-Napoca, Romania:IEEE, 2016:65-68.
|
[13] |
肖文强,姚世军,吴善明.一种改进的top-N协同过滤推荐算法[J].计算机应用研究,2018,35(1):105-108,112.XIAO Wenqiang, YAO Shijun, WU Shanming. Improved top-N collaborative filtering recommendation algorithm[J].Application Research of Computers,2018,35(1):105-108,112.
|
[14] |
刘峤,李杨,段宏,等.知识图谱构建技术综述[J].计算机研究与发展,2016,53(3):582-600.LIU Qiao, LI Yang, DUAN Hong, et al. Knowledge graph construction techniques[J]. Journal of Computer Research and Development,2016,53(3):582-600.
|
[15] |
MIKOLOV T, SUTSKEVER I, CHEN K, et al. Distributed representations of words and phrases and their compositionality[C]// International Conference on Neural Information Processing Systems. Daegu, Korea: Curran Associates Inc.2013:3111-3119.
|
[16] |
FAN M, ZHOU Q, ZHENG T F, et al. Distributed representation learning for knowledge graphs with entity descriptions[J]. Pattern Recognition Letters, 2017,93(1):31-37.
|
[17] |
BENGIO Y, COURVILLE A, VINCENT P. Representation learning: A review and new perspectives[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2013, 35(8):1798-1828.
|
[18] |
刘知远,孙茂松,林衍凯,等.知识表示学习研究进展[J].计算机研究与发展,2016, 53(2):247-261.LIU Zhiyuan, SUN Maosong, LIN Yankai, et al. Knowledge representation learning: A review[J]. Journal of Computer Research and Development,2016, 53(2):247-261.
|
[19] |
BORDES A , USUNIER N , GARCIA-DURAN A , et al. Translating embeddings for modeling multi-relational data[C]// International Conference on Neural Information Processing Systems. Daegu, Korea:Curran Associates Inc. 2013: 2787-2795.)
|