Learning and Fusing Multiple User Interest Representations for Micro-Video and Movie Recommendations
暂无分享,去创建一个
Zheng-Jun Zha | Dong Liu | Xusong Chen | Zhiwei Xiong | Zhengjun Zha | Zhiwei Xiong | Dong Liu | Xusong Chen
[1] Michael J. Pazzani,et al. Content-Based Recommendation Systems , 2007, The Adaptive Web.
[2] Yehuda Koren,et al. Factorization meets the neighborhood: a multifaceted collaborative filtering model , 2008, KDD.
[3] Shankar Kumar,et al. Video suggestion and discovery for youtube: taking random walks through the view graph , 2008, WWW.
[4] Yehuda Koren,et al. Matrix Factorization Techniques for Recommender Systems , 2009, Computer.
[5] Lars Schmidt-Thieme,et al. BPR: Bayesian Personalized Ranking from Implicit Feedback , 2009, UAI.
[6] Yu He,et al. The YouTube video recommendation system , 2010, RecSys '10.
[7] Jonghun Park,et al. Online Video Recommendation through Tag-Cloud Aggregation , 2011, IEEE MultiMedia.
[8] Tao Mei,et al. Contextual Video Recommendation by Multimodal Relevance and User Feedback , 2011, TOIS.
[9] Zhoujun Li,et al. Integrating rich information for video recommendation with multi-task rank aggregation , 2011, ACM Multimedia.
[10] Tao Mei,et al. Personalized video recommendation through tripartite graph propagation , 2012, ACM Multimedia.
[11] Haohong Wang,et al. VideoTopic: Content-Based Video Recommendation Using a Topic Model , 2013, 2013 IEEE International Symposium on Multimedia.
[12] Zhou Su,et al. What Videos Are Similar with You?: Learning a Common Attributed Representation for Video Recommendation , 2014, ACM Multimedia.
[13] Steven Skiena,et al. DeepWalk: online learning of social representations , 2014, KDD.
[14] F. Maxwell Harper,et al. The MovieLens Datasets: History and Context , 2016, TIIS.
[15] Yoshua Bengio,et al. Show, Attend and Tell: Neural Image Caption Generation with Visual Attention , 2015, ICML.
[16] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[17] Yanchun Zhang,et al. Online Video Recommendation in Sharing Community , 2015, SIGMOD Conference.
[18] Changsheng Xu,et al. Unified YouTube Video Recommendation via Cross-network Collaboration , 2015, ICMR.
[19] Yoshua Bengio,et al. Neural Machine Translation by Jointly Learning to Align and Translate , 2014, ICLR.
[20] Yanxiang Huang,et al. Real-time Video Recommendation Exploration , 2016, SIGMOD Conference.
[21] Paul Covington,et al. Deep Neural Networks for YouTube Recommendations , 2016, RecSys.
[22] Heng-Tze Cheng,et al. Wide & Deep Learning for Recommender Systems , 2016, DLRS@RecSys.
[23] C. Gomez-Uribe,et al. The Netflix Recommender System: Algorithms, Business Value, and Innovation , 2016, ACM Trans. Manag. Inf. Syst..
[24] Franca Garzotto,et al. Content-Based Video Recommendation System Based on Stylistic Visual Features , 2016, Journal on Data Semantics.
[25] Alberto Del Bimbo,et al. Item-Based Video Recommendation: An Hybrid Approach considering Human Factors , 2016, ICMR.
[26] Tat-Seng Chua,et al. Micro Tells Macro: Predicting the Popularity of Micro-Videos via a Transductive Model , 2016, ACM Multimedia.
[27] Ting Liu,et al. Consensus Attention-based Neural Networks for Chinese Reading Comprehension , 2016, COLING.
[28] Yunming Ye,et al. DeepFM: A Factorization-Machine based Neural Network for CTR Prediction , 2017, IJCAI.
[29] Lukasz Kaiser,et al. Attention is All you Need , 2017, NIPS.
[30] Xiangnan He,et al. Attentive Collaborative Filtering: Multimedia Recommendation with Item- and Component-Level Attention , 2017, SIGIR.
[31] Changsheng Xu,et al. A Unified Personalized Video Recommendation via Dynamic Recurrent Neural Networks , 2017, ACM Multimedia.
[32] Jure Leskovec,et al. Inductive Representation Learning on Large Graphs , 2017, NIPS.
[33] Chenliang Xu,et al. Dancelets Mining for Video Recommendation Based on Dance Styles , 2017, IEEE Transactions on Multimedia.
[34] Lifeng Sun,et al. Social-Aware Video Recommendation for Online Social Groups , 2017, IEEE Transactions on Multimedia.
[35] Tat-Seng Chua,et al. Neural Collaborative Filtering , 2017, WWW.
[36] Chang Zhou,et al. ATRank: An Attention-Based User Behavior Modeling Framework for Recommendation , 2017, AAAI.
[37] En Wang,et al. Improving Existing Collaborative Filtering Recommendations via Serendipity-Based Algorithm , 2018, IEEE Transactions on Multimedia.
[38] Dong Liu,et al. Temporal Hierarchical Attention at Category- and Item-Level for Micro-Video Click-Through Prediction , 2018, ACM Multimedia.
[39] Yueting Zhuang,et al. Social-Aware Movie Recommendation via Multimodal Network Learning , 2018, IEEE Transactions on Multimedia.
[40] Guorui Zhou,et al. Deep Interest Network for Click-Through Rate Prediction , 2017, KDD.
[41] Changsheng Xu,et al. Understanding Dynamic Cross-OSN Associations for Cold-Start Recommendation , 2018, IEEE Transactions on Multimedia.
[42] Dongyan Zhao,et al. Multi-Representation Fusion Network for Multi-Turn Response Selection in Retrieval-Based Chatbots , 2019, WSDM.
[43] Jinfeng Yi,et al. Enhancing the Robustness of Neural Collaborative Filtering Systems Under Malicious Attacks , 2019, IEEE Transactions on Multimedia.
[44] Ying Yang,et al. Personalized Recommendation of Social Images by Constructing a User Interest Tree With Deep Features and Tag Trees , 2019, IEEE Transactions on Multimedia.
[45] Chang Zhou,et al. Deep Interest Evolution Network for Click-Through Rate Prediction , 2018, AAAI.
[46] Zhenzhong Chen,et al. User-Video Co-Attention Network for Personalized Micro-video Recommendation , 2019, WWW.
[47] Yang Wang,et al. Challenging Personalized Video Recommendation , 2016, 1612.06935.