Hybrid Recommender System based on Autoencoders

24 June 2016

Papers citing "Hybrid Recommender System based on Autoencoders"

35 / 35 papers shown

Title
Manipulating Recommender Systems: A Survey of Poisoning Attacks and Countermeasures Thanh Toan Nguyen Quoc Viet Hung Nguyen Thanh Tam Nguyen T. T. Huynh Thanh Thi Nguyen Matthias Weidlich Hongzhi Yin AAML 21 21 0 23 Apr 2024
Data augmentation and refinement for recommender system: A semi-supervised approach using maximum margin matrix factorization Shamal Shaikh Venkateswara Rao Kagita Vikas Kumar A. K. Pujari 4 4 0 22 Jun 2023
Recent Developments in Recommender Systems: A Survey Yang Li Kangbo Liu Ranjan Satapathy Suhang Wang Erik Cambria OffRL 71 31 0 22 Jun 2023
$Ae^2I$ : A Double Autoencoder for Imputation of Missing Values Fuchang Gao 24 1 0 16 Jan 2023
SUPER-Rec: SUrrounding Position-Enhanced Representation for Recommendation Taejun Lim Siqu Long Josiah Poon S. Han 11 0 0 09 Sep 2022
A Scalable Recommendation Engine for New Users and Items Boya Xu Yiting Deng C. Mela 30 2 0 06 Sep 2022
One-class Recommendation Systems with the Hinge Pairwise Distance Loss and Orthogonal Representations Ramin Raziperchikolaei Young-joo Chung 19 0 0 31 Aug 2022
Simultaneous Learning of the Inputs and Parameters in Neural Collaborative Filtering Ramin Raziperchikolaei Young-joo Chung 14 2 0 14 Mar 2022
Collaborative Reflection-Augmented Autoencoder Network for Recommender Systems Lianghao Xia Chao Huang Yong-mei Xu Huance Xu Xiang Li Weiguo Zhang HAI 17 10 0 10 Jan 2022
GHRS: Graph-based Hybrid Recommendation System with Application to Movie Recommendation Zahra Zamanzadeh Darban Mohammad Hadi Valipour 31 103 0 06 Nov 2021
Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network Lianghao Xia Chao Huang Yong-mei Xu Peng Dai Bo Zhang Liefeng Bo MLAU 89 122 0 08 Oct 2021
CMML: Contextual Modulation Meta Learning for Cold-Start Recommendation Xidong Feng C. L. P. Chen Dong Li Mengchen Zhao Jianye Hao Jun Wang OffRL 13 23 0 24 Aug 2021
A Survey on Accuracy-oriented Neural Recommendation: From Collaborative Filtering to Information-rich Recommendation Le Wu Xiangnan He Xiang Wang Kun Zhang Meng Wang HAI 21 283 0 27 Apr 2021
Multi-target prediction for dummies using two-branch neural networks Dimitrios Iliadis B. De Baets Willem Waegeman 17 9 0 19 Apr 2021
Sparse Multi-Family Deep Scattering Network Romain Cosentino Randall Balestriero 14 0 0 14 Dec 2020
Modurec: Recommender Systems with Feature and Time Modulation Javier Maroto Clément Vignac P. Frossard 10 1 0 13 Oct 2020
Neural Representations in Hybrid Recommender Systems: Prediction versus Regularization Ramin Raziperchikolaei Tianyu Li Young-joo Chung DML AI4TS 6 2 0 12 Oct 2020
Explainable Recommendations via Attentive Multi-Persona Collaborative Filtering Oren Barkan Yonatan Fuchs Avi Caciularu Noam Koenigstein HAI 23 36 0 26 Sep 2020
Implicit Feedback Deep Collaborative Filtering Product Recommendation System K. Bhaskar D. Kundur Y. Lawryshyn BDL 4 3 0 08 Sep 2020
Survey for Trust-aware Recommender Systems: A Deep Learning Perspective Manqing Dong Feng Yuan Lina Yao Xianzhi Wang Xiwei Xu Liming Zhu 17 8 0 08 Apr 2020
Autoencoders Dor Bank Noam Koenigstein Raja Giryes HAI 8 0 0 12 Mar 2020
Meta Matrix Factorization for Federated Rating Predictions Yujie Lin Pengjie Ren Zhumin Chen Z. Ren Dongxiao Yu Jun Ma Maarten de Rijke Xiuzhen Cheng 12 115 0 22 Oct 2019
Collaborative Filtering with Label Consistent Restricted Boltzmann Machine Sagar Verma Prince Patel A. Majumdar BDL 4 4 0 17 Oct 2019
MeLU: Meta-Learned User Preference Estimator for Cold-Start Recommendation Hoyeop Lee Jinbae Im Seongwon Jang Hyunsouk Cho Sehee Chung 9 356 0 31 Jul 2019
A general graph-based framework for top-N recommendation using content, temporal and trust information Armel Jacques Nzekon Nzekoó M. Tchuenté Matthieu Latapy CML 11 6 0 06 May 2019
On the Difficulty of Evaluating Baselines: A Study on Recommender Systems Steffen Rendle Li Zhang Y. Koren 11 125 0 04 May 2019
Meta-Learning surrogate models for sequential decision making Alexandre Galashov Jonathan Richard Schwarz Hyunjik Kim M. Garnelo D. Saxton Pushmeet Kohli S. M. Ali Eslami Yee Whye Teh BDL OffRL 17 26 0 28 Mar 2019
Geometric Matrix Completion with Deep Conditional Random Fields Duc Minh Nguyen A. Calderbank Nikos Deligiannis 12 7 0 29 Jan 2019
Deep Autoencoder for Recommender Systems: Parameter Influence Analysis Dai Hoang Tran Z. Hussain W. Zhang N. Khoa Nguyen H. Tran Quan Z. Sheng AI4CE 8 10 0 25 Dec 2018
LRMM: Learning to Recommend with Missing Modalities Cheng Wang Mathias Niepert Hui Li 13 26 0 21 Aug 2018
Regularizing Autoencoder-Based Matrix Completion Models via Manifold Learning Duc Minh Nguyen Evaggelia Tsiligianni A. Calderbank Nikos Deligiannis 11 5 0 04 Jul 2018
The decoupled extended Kalman filter for dynamic exponential-family factorization models C. Gomez-Uribe Brian Karrer 11 6 0 26 Jun 2018
Getting deep recommenders fit: Bloom embeddings for sparse binary input/output networks Joan Serra Alexandros Karatzoglou 20 52 0 13 Jun 2017
Graph Convolutional Matrix Completion Rianne van den Berg Thomas Kipf Max Welling GNN 4 1,200 0 07 Jun 2017
Incorporating Side Information in Probabilistic Matrix Factorization with Gaussian Processes Ryan P. Adams George E. Dahl Iain Murray 59 87 0 09 Aug 2014