[1] RENDLE S,FREUDENTHALER C,GANTNER Z,et al.BPR:Bayesian personalized ranking from implicit feedback[C]//Proceedings of International Conference on Uncertainty in Artificial Intelligence.[S.1.]:AAAI Press,2009:137-149. [2] XU Lei,YANG Cheng,JIANG Chunxiao,et al.Game analysis of user participation in collaborative filtering systems[J].Chinese Journal of Computers,2016,39(6):1176-1189.(in Chinese)徐蕾,杨成,姜春晓,等.协同过滤推荐系统中的用户博弈[J].计算机学报,2016,39(6):1176-1189. [3] LANG K.NewsWeeder:learning to filter net-news[C]//Proceedings of the 12th International Conference on Machine Learning.[S.1.]:Morgan Kaufmann Publishers Inc.,1995:457-469. [4] CHEN J,YING P,ZOU M.Improving music recommendation by incorporating social influence[J].Multimedia Tools and Applications,2019,78(3):2667-2687. [5] FENG Xingjie,ZENG Yunze.Joint deep modeling of rating matrix and reviews for recommendation[J].Chinese Journal of Computers,2020,43(5):884-900.(in Chinese)冯兴杰,曾云泽.基于评分矩阵与评论文本的深度推荐模型[J].计算机学报,2020,43(5):884-900. [6] BEIERLE F,AIZAWA A,BEEL J.Exploring choice overload in related-article recommendations in digital libraries[EB/OL].[2019-07-20].https://www.researchgate.net/publication. [7] XIA F,LIU H,LEE I,et al.Scientific article recommendation:exploiting common author relations and historical preferences[J].IEEE Transactions on Big Data,2016,2(2):101-112. [8] ELKAhkyHKY A M,YANG S,HE X D.A multi-view deep learning approach for cross domain user modeling in recommendation systems[EB/OL].[2019-07-20].https://www.researchgate.net/publication/. [9] XU Z,CHEN C,LUKASIEWICZ T,et al.Tag-aware personalized recommendation using a deep-semantic similarity model with negative sampling[C]//Proceedings of ACM Conference on Information and Knowledge Management.New York,USA:ACM Press,2016:443-456. [10] GONG Yeyun,ZHANG Qi.Hashtag recommendation using attention-based convolutional neural network[C]//Proceedings of IEEE International Joint Conference on Artificial Intelligence.Washington D.C.,USA:IEEE Press,2016:325-337. [11] SEO S,HUANG J,YANG H,et al,Representation learning of users and items for review rating prediction using attention-based convolutional neural network[C]//Proceedings of the 3rd International Workshop on Machine Learning Methods for Recommender Systems.Huston,USA:[s.n.],2017:224-239. [12] LI Yang,LIU Ting,JIANG Jing et al.Hashtag recommendation with topical attention-based LSTM[C]//Proceedings of the 26th International Conference on Computational Linguistics.Osaka,Japan:[s.n.],2016:943-952. [13] HUANG Haoran,ZHANG Qi,HUANG Xuanjing.Mention recommendation for twitter with end-to-end memory network[C]//Proceedings of the 26th International Joint Conference on Artificial Intelligence.[S.1.]:AAAI Press,2017:334-356. [14] VERBERT K,MANOUSELIS N,OCHOA X,et al.Context-aware recommender systems for learning:a survey and future challenges[J].IEEE Transactions on Learning Technologies,2012,5(4):318-335. [15] WANG X,ROSENBLUM D,WANG Y.Context-aware mobile music recommendation for daily activities[C]//Proceedings of the 20th ACM International Conference on Multimedia.New York,USA:ACM Press,2012:99-108. [16] WANG Dongjing,DENG Shuiguang,ZHANG Xin,et al.Learning to embed music and metadata for context-aware music recommendation[J].World Wide Web-Internet & Web Information Systems,2017(5461):1-25. [17] WANG Dongjing,DENG Shuiguang,XU Guangdong.Sequence-based context-aware music recommendation[J].Information Retrieval Journal,2018,21(2/3):230-252. [18] MIKOLOV T,CHEN K,CORRADO G,et al.efficient estimation of word representations in vector space[C]//Proceedings of ICLR'13.Washingtor D.C.,USA:IEEE Press,2013:23-42. [19] MIKOLOV T,SUTSKERER I,CHEN K,et al.Distributed representations of words and phrases and their compositionality[J].Advances in Neural Information Processing Systems,2013,26:3111-3119. [20] BOGINA V,KUFLI T.Incorporating dwell time in session-based recommendations with recurrent neural networks[C]//Proceedings of ACM Conference on Recommender System.New York,USA:ACM Press,2017:57-59. [21] QUADRANA M,KARATZOGLOU A,HIDASI B,et al.Personalizing session-based recommendations with hierarchical recurrent neural networks[C]//Proceedings of ACM RecSys'17.New York,USA:ACM Press,2017:432-446. [22] LE Q,MIKOLOV T.Distributed representations of sentences and documents[EB/OL].[2019-07-20].https://arxiv.org/abs/1405.4053 [23] LIN Yankai,LIU Zhiyuan,SUN Maosong,et al.Learning entity and relation embeddings for knowledge graph completion[C]//Proceedings of the 29th AAAI Conference on Artificial Intelligence.[S.1.]:AAAI Press,2015:2181-2187. [24] BAHDANAU D,CHO K,BENGIO Y.Neural machine Translation by jointly learning to align and translate[EB/OL].[2019-07-20].https://arxiv.org/abs/1409.0473. [25] BENGIO Y,SIMAND P,FRASCONI P.Learning long-term dependencies with gradient descent is difficult[J].IEEE Transactions on Neural Networks,2002,5(2):157-166. [26] HOCHREITER S,SCHMIDHUBER J.Long short-term memory[J].Neural Computation,1997,9(8):1735-1780. [27] ZHANG Dongxu,WANG Dong.Relation classification via recurrent neural network[EB/OL].[2019-07-20].https://arxiv.org/abs/1508.01006. [28] LINDEN G,SMITH B,YORK J.Amazon.com recommendations:item-to-item collaborative filtering[J].IEEE Internet Computing,2003,7(1):76-80. [29] KINGMA D P,BA J L.Adam:a method for stochastic optimization[C]//Proceedings of International Conference on Learning Represent.Washington D.C.,USA:IEEE Press,2015:1-15. |