Computer Science ›› 2020, Vol. 47 ›› Issue (11A): 515-519.doi: 10.11896/jsjkx.191100181
• Big Data & Data Science • Previous Articles Next Articles
YANG Yang, DI Yi-de, LIU Jun-hui, YI Chao, ZHOU Wei
CLC Number:
[1] ZENG H,HU Q,GAN X X.Method for tag recommendation of tensor decomposition based on multiple relationships [J].Application Research of Computers,2019,36(10):2907-2910. [2] LI G,WANG S,LI Z Y,et al.Personalized Tag Recommendation Algorithm Based on Tensor Decomposition [J].Computer Science,2015,42(2):267-273. [3] KOLDA T G,BADER B W.Tensor Decompositions and Applications[J].Siam Review,2009,51(3):455-500. [4] 项亮.推荐系统实践[M].北京:人民邮电出版社,2012. [5] LIAO Z F,WANG C Q,LI X Q.Tag Recommendation and New User Tag Recommendation Algorithms Based on Tensor Decomposition [J].Journal of Chinese Computer Systems,2013,34(11):2472-2476. [6] RENDLE S,SCHMIDTTHIEME L.Pairwise interaction tensor factorization for personalized tag recommendation[C]//Procee-dings of the Third International Conference on Web Search and Web Data Mining.New York:Association for Computing Machinery,2010:81-90. [7] SHI Y,KARATZOGLOU A,BALTRUNAS L,et al.TFMAP:optimizing MAP for top-n context-aware recommendation[C]//Proceedings of the 35th International ACM SIGIR Conference on Research and Development in Information Retrieval.New York:Association for Computing Machinery,2012:155-164. [8] LIU T Y.Learning to Rank for Information Retrieval[J].Foundations and Trends in Information Retrieval,2009,3(3):225-331. [9] LI H.Learning to Rank for Information Retrieval and Natural Language Processing[M].California:Morgan & Claypool Publishers,2011. [10] LIU J,WU C,XIONG Y,et al.List-wise probabilistic matrix factorization for recommendation[J].Information Sciences,2014,278:434-447. [11] CAO Z,QIN T,LIU T,et al.Learning to rank:from pairwise approach to listwise approach[C]//Proceedings of the 24th International Conference on Machine Learning.New York:Association for Computing Machinery,2007:129-136. [12] HUANG Z H,ZHANG J W,TIAN C Q,et al.Survey on learning-to-rank based recommendation algorithms [J].Journal of Software,2016,27(3):691-713. [13] CHAPELLE O,WU M.Gradient descent optimization of smoo-thed information retrieval metrics[J].Information Retrieval,2010:13(3):216-235. [14] CANTADOR I N,BRUSILOVSKY P,KUFLIK T.Workshopon Information Heterogeneity and Fusion in Recommender Systems (HetRec 2010)[C]//Proceedings of the 2010 ACM Conference on Recommender Systems.New York:Association for Computing Machinery,2010:375-376. [15] CHEN M M,XUE K J.Personalized Recommendation Algo-rithm Based on Modified TensorDecomposition Model [J].Data Analysis and Knowledge Discovery,2017,1(3):37-45. [16] JEAN K,YANNIS P,ANIMA A,et al.TensorLy:TensorLearning in Python[J].Journal of Machine Learning Research,2019:20:1-6. |
[1] | WANG Ying-li, JIANG Cong-cong, FENG Xiao-nian, QIAN Tie-yun. Time Aware Point-of-interest Recommendation [J]. Computer Science, 2021, 48(9): 43-49. |
[2] | YANG Hong-xin, SONG Bao-yan, LIU Ting-ting, DU Yue-feng, LI Xiao-guang. Tensor Completion Method Based on Coupled Random Projection [J]. Computer Science, 2021, 48(8): 66-71. |
[3] | ZHANG Jian-xiong, SONG Kun, HE Peng, LI Bing. Identification of Key Classes in Software Systems Based on Graph Neural Networks [J]. Computer Science, 2021, 48(12): 149-158. |
[4] | ZHANG De-gan, FAN Hong-rui, GONG Chang-le, GAO Jin-xin, ZHANG Ting, ZHAO Peng-zhen and CHEN Chen. New Method of Data Missing Estimation for Vehicle Traffic Based on Tensor [J]. Computer Science, 2020, 47(6A): 505-511. |
[5] | YU Dun-hui, CHENG Tao, YUAN Xu. Software Crowdsourcing Task Recommendation Algorithm Based on Learning to Rank [J]. Computer Science, 2020, 47(12): 106-113. |
[6] | GENG Lei-lei, CUI Chao-ran, SHI Cheng, SHEN Zhen, YIN Yi-long, FENG Shi-hong. Social Image Tag and Group Joint Recommendation Based on Deep Multi-task Learning [J]. Computer Science, 2020, 47(12): 177-182. |
[7] | WU Zhen-yu, LI Yun-lei, WU Fan. Semi-supervised Support Tensor Based on Tucker Decomposition [J]. Computer Science, 2019, 46(9): 195-200. |
[8] | WANG Han, XIA Hong-bin. Collaborative Filtering Recommendation Algorithm Mixing LDA Model and List-wise Model [J]. Computer Science, 2019, 46(9): 216-222. |
[9] | XU Shu-yan, HAN Li-xin, XU Guo-xia. Domain Adaptation Algorithm Based on Tensor Decomposition [J]. Computer Science, 2019, 46(12): 89-94. |
[10] | WU Yu, YAN Guang-hui, WANG Ya-fei, MA Qing-qing, LIU Yu-xuan. Parallel CP Tensor Decomposition Algorithm Combining with GPU Technology [J]. Computer Science, 2018, 45(11): 298-303. |
[11] | YANG Xiao, CUI Chao-ran and WANG Shuai-qiang. Feature Construction Method for Learning to Rank Based on Optimization of Matrix Factorization [J]. Computer Science, 2017, 44(12): 255-259. |
[12] | ZHANG Hao, HE Jie and LI Hui-zong. Social Tagging Recommendation Model Based on Improved Artificial Fish Swarm Algorithm and Tensor Decomposition [J]. Computer Science, 2016, 43(12): 168-172. |
[13] | WANG Long, WANG Jia-lun, CHENG Zhuan-li, LI Ran and ZHANG Yin. Personalized Medicine Recommendation Based on Tensor Decomposition [J]. Computer Science, 2015, 42(5): 225-229. |
[14] | LI Gui, WANG Shuang, LI Zheng-yu, HAN Zi-yang, SUN Ping and SUN Huan-liang. Personalized Tag Recommendation Algorithm Based on Tensor Decomposition [J]. Computer Science, 2015, 42(2): 267-273. |
[15] | TAN Guang-xing and LIU Zhen-hui. Learning to Rank Based Approach for Image Searching [J]. Computer Science, 2015, 42(12): 275-277. |
|