A Hierarchical Attention Model for Social Contextual Image Recommendation
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Le Wu | Richang Hong | Yanjie Fu | Lei Chen | Xing Xie | Meng Wang | Xing Xie | Richang Hong | Yanjie Fu | Le Wu | Meng Wang | Lei Chen
[1] Martin Ester,et al. A matrix factorization technique with trust propagation for recommendation in social networks , 2010, RecSys '10.
[2] Le Wu,et al. Collaborative Neural Social Recommendation , 2018, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[3] Yueting Zhuang,et al. User Preference Learning for Online Social Recommendation , 2016, IEEE Transactions on Knowledge and Data Engineering.
[4] Chen Fang,et al. Vista: A Visually, Socially, and Temporally-aware Model for Artistic Recommendation , 2016, RecSys.
[5] Chen Liu,et al. Modeling User Session and Intent with an Attention-based Encoder-Decoder Architecture , 2017, RecSys.
[6] Lina Yao,et al. AutoSVD++: An Efficient Hybrid Collaborative Filtering Model via Contractive Auto-encoders , 2017, SIGIR.
[7] Jian Pei,et al. A Survey on Network Embedding , 2017, IEEE Transactions on Knowledge and Data Engineering.
[8] Yehuda Koren,et al. Factorization meets the neighborhood: a multifaceted collaborative filtering model , 2008, KDD.
[9] Xuanjing Huang,et al. Hashtag Recommendation for Multimodal Microblog Using Co-Attention Network , 2017, IJCAI.
[10] Tat-Seng Chua,et al. Neural Collaborative Filtering , 2017, WWW.
[11] Neil Yorke-Smith,et al. A Novel Recommendation Model Regularized with User Trust and Item Ratings , 2016, IEEE Transactions on Knowledge and Data Engineering.
[12] Junping Du,et al. Modeling the Evolution of Users’ Preferences and Social Links in Social Networking Services , 2017, IEEE Transactions on Knowledge and Data Engineering.
[13] Lars Schmidt-Thieme,et al. BPR: Bayesian Personalized Ranking from Implicit Feedback , 2009, UAI.
[14] Jing Huang,et al. Interpretable Convolutional Neural Networks with Dual Local and Global Attention for Review Rating Prediction , 2017, RecSys.
[15] Zhaohui Wu,et al. On Deep Learning for Trust-Aware Recommendations in Social Networks , 2017, IEEE Transactions on Neural Networks and Learning Systems.
[16] Yi Tay,et al. Deep Learning based Recommender System: A Survey and New Perspectives , 2018 .
[17] Wenwu Zhu,et al. Structural Deep Network Embedding , 2016, KDD.
[18] Mingzhe Wang,et al. LINE: Large-scale Information Network Embedding , 2015, WWW.
[19] Le Wu,et al. Attentive Recurrent Social Recommendation , 2018, SIGIR.
[20] Ravi Kumar,et al. Influence and correlation in social networks , 2008, KDD.
[21] Philip S. Yu,et al. Leveraging Meta-path based Context for Top- N Recommendation with A Neural Co-Attention Model , 2018, KDD.
[22] Max Welling,et al. Semi-Supervised Classification with Graph Convolutional Networks , 2016, ICLR.
[23] Qi Zhang,et al. Hashtag Recommendation Using Attention-Based Convolutional Neural Network , 2016, IJCAI.
[24] Wei Niu,et al. Neural Personalized Ranking for Image Recommendation , 2018, WSDM.
[25] N. Latha,et al. Personalized Recommendation Combining User Interest and Social Circle , 2015 .
[26] Qiao Liu,et al. STAMP: Short-Term Attention/Memory Priority Model for Session-based Recommendation , 2018, KDD.
[27] Zhong Ming,et al. Collaborative Recommendation with Multiclass Preference Context , 2017, IEEE Intelligent Systems.
[28] Yoshua Bengio,et al. Neural Machine Translation by Jointly Learning to Align and Translate , 2014, ICLR.
[29] Meng Wang,et al. Tri-Clustered Tensor Completion for Social-Aware Image Tag Refinement , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[30] Leon A. Gatys,et al. Image Style Transfer Using Convolutional Neural Networks , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[31] Xiangnan He,et al. NAIS: Neural Attentive Item Similarity Model for Recommendation , 2018, IEEE Transactions on Knowledge and Data Engineering.
[32] Julian J. McAuley,et al. VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback , 2015, AAAI.
[33] Tat-Seng Chua,et al. Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks , 2017, IJCAI.
[34] Alberto Del Bimbo,et al. Beyond the Product: Discovering Image Posts for Brands in Social Media , 2018, ACM Multimedia.
[35] Stephanie Rogers,et al. Related Pins at Pinterest: The Evolution of a Real-World Recommender System , 2017, WWW.
[36] Ruslan Salakhutdinov,et al. Probabilistic Matrix Factorization , 2007, NIPS.
[37] Steven Skiena,et al. DeepWalk: online learning of social representations , 2014, KDD.
[38] Pietro Liò,et al. Graph Attention Networks , 2017, ICLR.
[39] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[40] Nicholas Jing Yuan,et al. Collaborative Knowledge Base Embedding for Recommender Systems , 2016, KDD.
[41] Leon A. Gatys,et al. Controlling Perceptual Factors in Neural Style Transfer , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[42] Daniel Jurafsky,et al. A Hierarchical Neural Autoencoder for Paragraphs and Documents , 2015, ACL.
[43] Tat-Seng Chua,et al. NUS-WIDE: a real-world web image database from National University of Singapore , 2009, CIVR '09.
[44] Xiangnan He,et al. Attentive Collaborative Filtering: Multimedia Recommendation with Item- and Component-Level Attention , 2017, SIGIR.
[45] Tao Chen,et al. How Personality Affects our Likes: Towards a Better Understanding of Actionable Images , 2017, ACM Multimedia.
[46] Leon A. Gatys,et al. Texture Synthesis Using Convolutional Neural Networks , 2015, NIPS.
[47] Huan Liu,et al. What Your Images Reveal: Exploiting Visual Contents for Point-of-Interest Recommendation , 2017, WWW.
[48] Tao Chen,et al. Context-aware Image Tweet Modelling and Recommendation , 2016, ACM Multimedia.
[49] Chao Liu,et al. Recommender systems with social regularization , 2011, WSDM '11.
[50] Dong Liu,et al. Comparative Deep Learning of Hybrid Representations for Image Recommendations , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[51] Steffen Rendle,et al. Factorization Machines with libFM , 2012, TIST.
[52] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[53] Siu Cheung Hui,et al. Multi-Pointer Co-Attention Networks for Recommendation , 2018, KDD.
[54] Gediminas Adomavicius,et al. Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions , 2005, IEEE Transactions on Knowledge and Data Engineering.
[55] Simon Hessner,et al. Image Style Transfer using Convolutional Neural Networks , 2018 .
[56] Christof Koch,et al. A Model of Saliency-Based Visual Attention for Rapid Scene Analysis , 2009 .
[57] Le Wu,et al. A Neural Influence Diffusion Model for Social Recommendation , 2019, SIGIR.
[58] Fei Wang,et al. Scalable Recommendation with Social Contextual Information , 2014, IEEE Transactions on Knowledge and Data Engineering.
[59] Yoshua Bengio,et al. Show, Attend and Tell: Neural Image Caption Generation with Visual Attention , 2015, ICML.
[60] Diyi Yang,et al. Hierarchical Attention Networks for Document Classification , 2016, NAACL.