[1] |
BENNETT J,LANNING S.The netflix prize[C]//Proceedings of KDD Cup and Workshop.San Jose,USA:[s.n.],2007:35.
|
[2] |
ZHAO Jingling,LI Yan,ZHANG Ye.A recommendation algorithm via developed random walk takes user’s preference and item’s genres[C]//Proceedings of 2017 International Conference on Information System and Data Mining.New York,USA:ACM Press,2017:61-65.
|
[3] |
MA Li,WANG Xingjun.An ensemble algorithm used in video recommendation system[C]//Proceedings of 2017 International Conference on Big Data Research.New York,USA:ACM Press,2017:67-71.
|
[4] |
KARATZOGLOU A,HIDASI B.Deep learning for recom-mender systems[C]//Proceedings of the 11th ACM Conference on Recommender Systems.New York,USA:ACM Press,2017:396-397.
|
[5] |
李卫疆,齐静,余正涛,等.融合信任传播和奇异值分解的社会化推荐算法[J].计算机工程,2017,43(8):236-242.
|
[6] |
SALAKHUTDINOV R,MNIH A.Probabilistic matrix factorization[C]//Proceedings of Advances in Neural Information Processing Systems.[S.l.]:NIPS Inc.,2008:1257-1264.
|
[7] |
王锦坤,姜元春,孙见山,等.考虑用户活跃度和项目流行度的基于项目最近邻的协同过滤算法[J].计算机科学,2016,43(12):158-162.
|
[8] |
BEUTEL A,AHMED A,SMOLA A J.ACCAMS:additive co-clustering to approximate matrices succinctly[C]//Proceedings of the 24th International Conference on World Wide Web.New York,USA:ACM Press,2015:119-129.
|
[9] |
KOREN Y.Collaborative filtering with temporal dynamics[C]//Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.New York,USA:ACM Press,2009:447-456.
|
[10] |
谭黎立,聂瑞华,梁军,等.基于动态时间的个性化推荐模型[J].华南师范大学学报(自然科学版),2017,49(3):123-128.
|
[11] |
李忠武,王辉,魏再超.基于推荐系统时间敏感的因子模型算法研究[J].电子商务.2017(9):55-56,89.
|
[12] |
DU K,SWAMY M N S.Recurrent neural networks[M].London,UK:Springer,2014:337-353.
|
[13] |
俞骋超.基于深度神经网络的用户会话推荐算法研究[D].杭州:浙江大学,2016.
|
[14] |
陆泽楠,商玉林.基于LSTM神经网络模型的钢铁价格预测[J].科技视界,2017(13):116-117.
|
[15] |
ZENG Daojian,LIU Kang,LAI Siwei,et al.Relation classification via convolutional deep neural network[C]//Proceedings of COLING’14.Dublin,Ireland:[s.n.],2014:2335-2344.
|
[16] |
SEDHAIN S,MENON A K,SANNER S,et al.Autorec:autoencoders meet collaborative filtering[C]//Proceedings of the 24th International Conference on World Wide Web.New York,USA:ACM Press,2015:111-112.
|
[17] |
罗频捷,温荷.基于改进BP神经网络的个性化推荐算法研究[J].四川理工学院学报(自然科学版),2016,29(1):39-43.
|
[18] |
章敏敏,徐和平,王晓洁,等.谷歌TensorFlow机器学习框架及应用[J].微型机与应用,2017,36(10):58-60.
|