Collaborative Deep Learning for Recommender Systems

10 September 2014

Papers citing "Collaborative Deep Learning for Recommender Systems"

50 / 77 papers shown

Title
SoMeR: Multi-View User Representation Learning for Social Media Siyi Guo Keith Burghardt Valeria Pante Kristina Lerman AI4TS 21 0 0 02 May 2024
How Does Message Passing Improve Collaborative Filtering? Mingxuan Ju William Shiao Zhichun Guo Yanfang Ye Yozen Liu Neil Shah Tong Zhao 40 4 0 27 Mar 2024
A Unified Framework for Fair Spectral Clustering With Effective Graph Learning Xiang Zhang Qiao Wang 33 3 0 23 Nov 2023
Toward a Better Understanding of Loss Functions for Collaborative Filtering Seongmin Park Mincheol Yoon Jae-woong Lee Hogun Park Jongwuk Lee 26 14 0 11 Aug 2023
Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation Zihao Xu Guang-Yuan Hao Hao He Hao Wang 32 18 0 06 Feb 2023
Meta-Shop: Improving Item Advertisement For Small Businesses Yang Shi Guannan Liang Young-joo Chung 22 0 0 02 Dec 2022
Data-Adaptive Discriminative Feature Localization with Statistically Guaranteed Interpretation Ben Dai Xiaotong Shen Lingzhi Chen Chunlin Li Wei Pan FAtt 13 1 0 18 Nov 2022
Situating Recommender Systems in Practice: Towards Inductive Learning and Incremental Updates Tobias Schnabel Mengting Wan Longqi Yang HAI 27 8 0 11 Nov 2022
Cooperative Retriever and Ranker in Deep Recommenders Xunpeng Huang Defu Lian Jin Chen Liu Zheng Xing Xie Enhong Chen VLM AI4TS 27 11 0 28 Jun 2022
Unsupervised Mismatch Localization in Cross-Modal Sequential Data with Application to Mispronunciations Localization Wei Wei Hengguan Huang Xiangming Gu Hao Wang Ye Wang BDL 22 0 0 05 May 2022
Diverse Preference Augmentation with Multiple Domains for Cold-start Recommendations Yan Zhang Changyu Li Ivor W. Tsang Hui Xu Lixin Duan Hongzhi Yin Wen Li Jie Shao 21 9 0 01 Apr 2022
Simultaneous Learning of the Inputs and Parameters in Neural Collaborative Filtering Ramin Raziperchikolaei Young-joo Chung 16 2 0 14 Mar 2022
An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering Yiqi Wang Chaozhuo Li Zheng Liu Mingzheng Li Jiliang Tang Xing Xie Lei Chen Philip S. Yu 22 23 0 14 Dec 2021
Cold Item Integration in Deep Hybrid Recommenders via Tunable Stochastic Gates Oren Barkan Roy Hirsch Ori Katz Avi Caciularu Jonathan Weill Noam Koenigstein 19 8 0 12 Dec 2021
COMET: A Novel Memory-Efficient Deep Learning Training Framework by Using Error-Bounded Lossy Compression Sian Jin Chengming Zhang Xintong Jiang Yunhe Feng Hui Guan Guanpeng Li S. Song Dingwen Tao 23 23 0 18 Nov 2021
GHRS: Graph-based Hybrid Recommendation System with Application to Movie Recommendation Zahra Zamanzadeh Darban Mohammad Hadi Valipour 34 103 0 06 Nov 2021
Privacy in Open Search: A Review of Challenges and Solutions Samuel Sousa Christian Guetl Roman Kern 13 3 0 20 Oct 2021
Digital Signal Processing Using Deep Neural Networks Brian Shevitski Y. Watkins Nicole Man Michael Girard AI4CE 18 4 0 21 Sep 2021
LT-OCF: Learnable-Time ODE-based Collaborative Filtering Jeongwhan Choi Jinsung Jeon Noseong Park 24 30 0 08 Aug 2021
T-RECS: A Simulation Tool to Study the Societal Impact of Recommender Systems Eli Lucherini Matthew Sun Amy A. Winecoff Arvind Narayanan 29 23 0 19 Jul 2021
SelfCF: A Simple Framework for Self-supervised Collaborative Filtering Xin Zhou Aixin Sun Yong-jin Liu Jie M. Zhang C. Miao SSL 25 76 0 07 Jul 2021
Correcting Exposure Bias for Link Recommendation Shantanu Gupta Hao Wang Zachary Chase Lipton Bernie Wang CML 24 34 0 13 Jun 2021
Privileged Graph Distillation for Cold Start Recommendation Shuai Wang Kun Zhang Le Wu Haiping Ma Richang Hong Meng Wang 10 28 0 31 May 2021
Dual Metric Learning for Effective and Efficient Cross-Domain Recommendations Pan Li Alexander Tuzhilin 17 50 0 17 Apr 2021
Recent Advances in Data-Driven Wireless Communication Using Gaussian Processes: A Comprehensive Survey Kai Chen Qinglei Kong Yijue Dai Yue Xu Feng Yin Lexi Xu Shuguang Cui 25 30 0 18 Mar 2021
A Cooperative Memory Network for Personalized Task-oriented Dialogue Systems with Incomplete User Profiles Jiahuan Pei Pengjie Ren Maarten de Rijke 14 24 0 16 Feb 2021
Generating Artificial Core Users for Interpretable Condensed Data Amy Nesky Q. Stout 22 0 0 06 Feb 2021
Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation Chen-li Ma Liheng Ma Yingxue Zhang Ruiming Tang Xue Liu Mark J. Coates 45 49 0 13 Jan 2021
A Novel Memory-Efficient Deep Learning Training Framework via Error-Bounded Lossy Compression Sian Jin Guanpeng Li S. Song Dingwen Tao AI4CE 24 12 0 18 Nov 2020
J-Recs: Principled and Scalable Recommendation Justification Namyong Park Andrey Kan Christos Faloutsos Xin Luna Dong 15 5 0 11 Nov 2020
Learning User Representations with Hypercuboids for Recommender Systems Shuai Zhang Huoyu Liu Aston Zhang Yue Hu Ce Zhang Yumeng Li Tanchao Zhu Shaojian He Wenwu Ou 20 17 0 11 Nov 2020
Graph Neural Networks in Recommender Systems: A Survey Shiwen Wu Fei Sun Wentao Zhang Xu Xie Bin Cui GNN 56 1,174 0 04 Nov 2020
Hierarchical Text Interaction for Rating Prediction Jiahui Wen Jingwei Ma Hongkui Tu Wei Yin Jian Fang 22 6 0 15 Oct 2020
A Brief Review of Domain Adaptation Abolfazl Farahani Sahar Voghoei Khaled Rasheed H. Arabnia OOD 19 525 0 07 Oct 2020
Simultaneous Relevance and Diversity: A New Recommendation Inference Approach Yifang Liu Zhe Xu Qiyuan An Yang Yi Yanzhi Wang Trevor Hastie 11 0 0 27 Sep 2020
Robust Federated Recommendation System Chen Chen Jingfeng Zhang A. Tung Mohan S. Kankanhalli Gang Chen FedML 39 26 0 15 Jun 2020
A Social Search Model for Large Scale Social Networks Yunzhong He Wenyuan Li Liangxing Chen Gabriel Forgues Xunlong Gui Sui Liang Bo Hou GNN 21 2 0 09 May 2020
A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research Maurizio Ferrari Dacrema Simone Boglio Paolo Cremonesi Dietmar Jannach 13 196 0 18 Nov 2019
Collaborative Distillation for Top-N Recommendation Jae-woong Lee Minjin Choi Jongwuk Lee Hyunjung Shim 9 47 0 13 Nov 2019
Enhancing VAEs for Collaborative Filtering: Flexible Priors & Gating Mechanisms Daeryong Kim B. Suh 16 50 0 03 Nov 2019
DDTCDR: Deep Dual Transfer Cross Domain Recommendation P. Li Alexander Tuzhilin 14 261 0 11 Oct 2019
Adaptive Regularization via Residual Smoothing in Deep Learning Optimization Jung-Kyun Cho Junseok Kwon Byung-Woo Hong 26 1 0 23 Jul 2019
NPA: Neural News Recommendation with Personalized Attention Chuhan Wu Fangzhao Wu Mingxiao An Jianqiang Huang Yongfeng Huang Xing Xie AI4TS 13 322 0 12 Jul 2019
Multi-local Collaborative AutoEncoder Jielei Chu Hongjun Wang Jing Liu Zhiguo Gong Tianrui Li BDL 26 9 0 12 Jun 2019
Leveraging Trust and Distrust in Recommender Systems via Deep Learning Dimitrios Rafailidis FedML 12 0 0 31 May 2019
Constructing High Precision Knowledge Bases with Subjective and Factual Attributes Ari Kobren Pablo Barrio Oksana Yakhnenko Johann Hibschman I. Langmore 6 6 0 28 May 2019
STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems Jiani Zhang Xingjian Shi Shenglin Zhao Irwin King 27 225 0 27 May 2019
Graph Neural Networks for Social Recommendation Wenqi Fan Yao Ma Qing Li Yuan He Y. Zhao Jiliang Tang Dawei Yin 22 1,849 0 19 Feb 2019
A Long-Short Demands-Aware Model for Next-Item Recommendation Ting Bai Pan Du Wayne Xin Zhao Ji-Rong Wen Jian-Yun Nie AI4TS VLM 17 10 0 12 Feb 2019
Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling Hao Wang Chengzhi Mao Hao He Mingmin Zhao Tommi Jaakkola Dina Katabi BDL 14 22 0 06 Feb 2019