On deep neural network for trust aware cross domain recommendations in E-commerce
暂无分享,去创建一个
Umer Rashid | Osman Khalid | Adeel Ahmed | Khalid Saleem | Osman Khalid | Adeel Ahmed | Khalid Saleem | Umer Rashid
[1] Yehuda Koren,et al. Factorization meets the neighborhood: a multifaceted collaborative filtering model , 2008, KDD.
[2] Adeel Ahmed,et al. Modeling Trust-Aware Recommendations With Temporal Dynamics in Social Networks , 2020, IEEE Access.
[3] Olfa Nasraoui,et al. A cross-modal warm-up solution for the cold-start problem in collaborative filtering recommender systems , 2014, WebSci '14.
[4] Jennifer Golbeck,et al. Investigating interactions of trust and interest similarity , 2007, Decis. Support Syst..
[5] Paul Covington,et al. Deep Neural Networks for YouTube Recommendations , 2016, RecSys.
[6] Zafar Ali,et al. Recommender Systems: Issues, Challenges, and Research Opportunities , 2016 .
[7] Chao Liu,et al. Recommender systems with social regularization , 2011, WSDM '11.
[8] Wenge Rong,et al. A Social Recommender Based on Factorization and Distance Metric Learning , 2017, IEEE Access.
[9] Himanshu Aggarwal,et al. AutoTrustRec: Recommender System with Social Trust and Deep Learning using AutoEncoder , 2020, Multimedia Tools and Applications.
[10] Michael R. Lyu,et al. Learning to recommend with social trust ensemble , 2009, SIGIR.
[11] Zhaohui Wu,et al. On Deep Learning for Trust-Aware Recommendations in Social Networks , 2017, IEEE Transactions on Neural Networks and Learning Systems.
[12] Chen Gao,et al. CROSS: Cross-platform Recommendation for Social E-Commerce , 2019, SIGIR.
[13] Albert Y. Zomaya,et al. OmniSuggest: A Ubiquitous Cloud-Based Context-Aware Recommendation System for Mobile Social Networks , 2014, IEEE Transactions on Services Computing.
[14] Tat-Seng Chua,et al. Item Silk Road: Recommending Items from Information Domains to Social Users , 2017, SIGIR.
[15] Parham Moradi,et al. TCFACO: Trust-aware collaborative filtering method based on ant colony optimization , 2019, Expert Syst. Appl..
[16] Xing Xie,et al. CCCFNet: A Content-Boosted Collaborative Filtering Neural Network for Cross Domain Recommender Systems , 2017, WWW.
[17] Tat-Seng Chua,et al. Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks , 2017, IJCAI.
[18] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[19] Nitish Srivastava,et al. Multimodal learning with deep Boltzmann machines , 2012, J. Mach. Learn. Res..
[20] Tat-Seng Chua,et al. Neural Factorization Machines for Sparse Predictive Analytics , 2017, SIGIR.
[21] Fadi Al-Turjman,et al. A novel community-based trust aware recommender systems for big data cloud service networks , 2020 .
[22] Atsuhiro Takasu,et al. Applying ant-colony concepts to trust-based recommender systems , 2016, iiWAS.
[23] Noemi Mauro,et al. A Compositional Model of Multi-faceted Trust for Personalized Item Recommendation , 2019, Expert Syst. Appl..
[24] Lior Rokach,et al. Introduction to Recommender Systems Handbook , 2011, Recommender Systems Handbook.
[25] Gongxuan Zhang,et al. Collaborative filtering using probabilistic matrix factorization and a Bayesian nonparametric model , 2017, 2017 IEEE 2nd International Conference on Big Data Analysis (ICBDA)(.
[26] Meiqi Wang,et al. Trust-Aware Collaborative Filtering with a Denoising Autoencoder , 2018, Neural Processing Letters.
[27] Ruslan Salakhutdinov,et al. Probabilistic Matrix Factorization , 2007, NIPS.
[28] Jun Zhou,et al. Locally Connected Deep Learning Framework for Industrial-scale Recommender Systems , 2017, WWW.
[29] Thomas Stützle,et al. Ant colony optimization: artificial ants as a computational intelligence technique , 2006 .
[30] Ju Ren,et al. A Survey on End-Edge-Cloud Orchestrated Network Computing Paradigms , 2019, ACM Comput. Surv..
[31] Buse Melis Ozyildirim,et al. Generalized classifier neural network , 2013, Neural Networks.
[32] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[33] Scott Sanner,et al. AutoRec: Autoencoders Meet Collaborative Filtering , 2015, WWW.
[34] Roberto Turrin,et al. Cross-Domain Recommender Systems , 2015, Recommender Systems Handbook.
[35] S. Sitharama Iyengar,et al. Data-Driven Techniques in Disaster Information Management , 2017, ACM Comput. Surv..
[36] Pan Li,et al. DDTCDR: Deep Dual Transfer Cross Domain Recommendation , 2019, WSDM.
[37] Kurt Hornik,et al. Multilayer feedforward networks are universal approximators , 1989, Neural Networks.
[38] Martin Ester,et al. TrustWalker: a random walk model for combining trust-based and item-based recommendation , 2009, KDD.
[39] Yi Tay,et al. Deep Learning based Recommender System: A Survey and New Perspectives , 2018 .
[40] Yehuda Koren,et al. Matrix Factorization Techniques for Recommender Systems , 2009, Computer.
[41] Wonyoung Choi,et al. Trust information network in social Internet of things using trust-aware recommender systems , 2020, Int. J. Distributed Sens. Networks.
[42] Roliana Ibrahim,et al. Cross Domain Recommender Systems , 2017, ACM Comput. Surv..
[43] Zhigang Luo,et al. Online Nonnegative Matrix Factorization With Robust Stochastic Approximation , 2012, IEEE Transactions on Neural Networks and Learning Systems.
[44] Qiang Yang,et al. Can Movies and Books Collaborate? Cross-Domain Collaborative Filtering for Sparsity Reduction , 2009, IJCAI.
[45] Li Yang,et al. A trust-based collaborative filtering algorithm for E-commerce recommendation system , 2018, Journal of Ambient Intelligence and Humanized Computing.
[46] Yi-Cheng Zhang,et al. Recommender Systems , 2012, ArXiv.
[47] J. Bobadilla,et al. Recommender systems survey , 2013, Knowl. Based Syst..
[48] Yiteng Pan,et al. A correlative denoising autoencoder to model social influence for top-N recommender system , 2019, Frontiers of Computer Science.
[49] 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.
[50] Guandong Xu,et al. Social network-based service recommendation with trust enhancement , 2014, Expert Syst. Appl..
[51] Nan Zhang,et al. Adaptive ensemble with trust networks and collaborative recommendations , 2014, Knowledge and Information Systems.
[52] Tiejian Luo,et al. A Recommendation Model Based on Deep Neural Network , 2018, IEEE Access.
[53] L. Zucker. Production of trust: Institutional sources of economic structure, 1840–1920. , 1986 .
[54] Steffen Rendle,et al. Factorization Machines , 2010, 2010 IEEE International Conference on Data Mining.
[55] Heng-Tze Cheng,et al. Wide & Deep Learning for Recommender Systems , 2016, DLRS@RecSys.
[56] Tat-Seng Chua,et al. Neural Collaborative Filtering , 2017, WWW.
[57] Xiangjie Kong,et al. Exploiting Trust and Usage Context for Cross-Domain Recommendation , 2016, IEEE Access.
[58] Yang Yang,et al. Start from Scratch: Towards Automatically Identifying, Modeling, and Naming Visual Attributes , 2014, ACM Multimedia.
[59] Punam Bedi,et al. Trust based recommender system using ant colony for trust computation , 2012, Expert Syst. Appl..
[60] Lina Yao,et al. DARec: Deep Domain Adaptation for Cross-Domain Recommendation via Transferring Rating Patterns , 2019, IJCAI.