Multi-Pointer Co-Attention Networks for Recommendation

28 January 2018

Papers citing "Multi-Pointer Co-Attention Networks for Recommendation"

50 / 50 papers shown

Title
Counterfactual Inference for Eliminating Sentiment Bias in Recommender Systems Le Pan Yuanjiang Cao Chengkai Huang Wenjie Zhang L. Yao CML 45 0 0 06 May 2025
A Contrastive Framework with User, Item and Review Alignment for Recommendation Hoang V. Dong Yuan Fang Hady W. Lauw 39 2 0 21 Jan 2025
Language-based Audio Retrieval with Co-Attention Networks Haoran Sun Zehua Wang Qiuyi Chen Jianjun Chen Jia Wang Haiyang Zhang 39 0 0 31 Dec 2024
GaVaMoE: Gaussian-Variational Gated Mixture of Experts for Explainable Recommendation Fei Tang Yongliang Shen Hang Zhang Zeqi Tan Wenqi Zhang Guiyang Hou Kaitao Song Weiming Lu Yueting Zhuang 50 0 0 15 Oct 2024
Leveraging User-Generated Reviews for Recommender Systems with Dynamic Headers Shanu Vashishtha Abhay Kumar Lalitesh Morishetti Kaushiki Nag Kannan Achan 50 0 0 11 Sep 2024
An Interpretable Alternative to Neural Representation Learning for Rating Prediction -- Transparent Latent Class Modeling of User Reviews Giuseppe Serra Peter Tino Zhao Xu Xin Yao 28 0 0 17 Jun 2024
Semantic-Enhanced Relational Metric Learning for Recommender Systems Mingming Li Fuqing Zhu Feng Yuan Songlin Hu 48 0 0 07 Jun 2024
Enriching User Shopping History: Empowering E-commerce with a Hierarchical Recommendation System Irem Islek Ş. Öğüdücü 23 0 0 15 Mar 2024
Empowering Few-Shot Recommender Systems with Large Language Models -- Enhanced Representations Zhoumeng Wang 24 6 0 21 Dec 2023
Knowledge-aware Collaborative Filtering with Pre-trained Language Model for Personalized Review-based Rating Prediction Quanxiu Wang Xinlei Cao Jianyong Wang Wei Zhang VLM 18 7 0 02 Aug 2023
DEPHN: Different Expression Parallel Heterogeneous Network using virtual gradient optimization for Multi-task Learning Menglin Kong Ri-Qi Su Shaojie Zhao Muzhou Hou MoE 31 0 0 24 Jul 2023
Unifying gradient regularization for Heterogeneous Graph Neural Networks Xiao Yang Xuejiao Zhao Zhiqi Shen 27 0 0 25 May 2023
Attentive Graph-based Text-aware Preference Modeling for Top-N Recommendation Ming-Hao Juan Pu-Jen Cheng Hui-Neng Hsu Pin-Hsin Hsiao 31 1 0 22 May 2023
Explainable Recommender with Geometric Information Bottleneck Hanqi Yan Lin Gui Menghan Wang Anton van den Hengel Yulan He 13 2 0 09 May 2023
Attribute-Guided Multi-Level Attention Network for Fine-Grained Fashion Retrieval L. Xiao T. Yamasaki AI4TS 21 2 0 27 Dec 2022
On Faithfulness and Coherence of Language Explanations for Recommendation Systems Zhouhang Xie Julian McAuley Bodhisattwa Prasad Majumder LRM 27 1 0 12 Sep 2022
A General Survey on Attention Mechanisms in Deep Learning Gianni Brauwers Flavius Frasincar 31 296 0 27 Mar 2022
Review-Based Domain Disentanglement without Duplicate Users or Contexts for Cross-Domain Recommendation Yoonhyuk Choi Jiho Choi Taewook Ko HyungHo Byun Qiongxiong Ma 24 15 0 25 Oct 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 97 122 0 08 Oct 2021
A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning Iris A. M. Huijben W. Kool Max B. Paulus Ruud J. G. van Sloun 26 93 0 04 Oct 2021
Recommend for a Reason: Unlocking the Power of Unsupervised Aspect-Sentiment Co-Extraction Zeyu Li Wei Cheng Reema Kshetramade John Houser Haifeng Chen Wei Wang 22 5 0 07 Sep 2021
SIFN: A Sentiment-aware Interactive Fusion Network for Review-based Item Recommendation Kai Zhang Hao Qian Qi Liu Qing Cui Jun Zhou Jianhui Ma Enhong Chen 18 11 0 18 Aug 2021
A Unified Framework for Cross-Domain and Cross-System Recommendations Feng Zhu Yan Wang Jun Zhou Chaochao Chen Longfei Li Guanfeng Liu 31 65 0 18 Aug 2021
GAN-based Recommendation with Positive-Unlabeled Sampling Yao Zhou Jianpeng Xu Jun Wu Zeinab Taghavi Nasrabadi Evren Körpeoglu Kannan Achan Jingrui He 19 4 0 12 Dec 2020
Graph Neural Networks in Recommender Systems: A Survey Shiwen Wu Fei Sun Wentao Zhang Xu Xie Tengjiao Wang GNN 56 1,175 0 04 Nov 2020
Bayesian Attention Modules Xinjie Fan Shujian Zhang Bo Chen Mingyuan Zhou 117 59 0 20 Oct 2020
How Useful are Reviews for Recommendation? A Critical Review and Potential Improvements Noveen Sachdeva Julian McAuley 11 59 0 25 May 2020
CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network Cheng Zhao Chenliang Li Rong Xiao Hongbo Deng Aixin Sun LRM 24 174 0 21 May 2020
Attacking Recommender Systems with Augmented User Profiles Chen Lin Si Chen Hui Li Yanghua Xiao Lianyun Li Qiang Yang AAML 17 81 0 17 May 2020
CATA++: A Collaborative Dual Attentive Autoencoder Method for Recommending Scientific Articles Meshal Alfarhood Jianlin Cheng 21 7 0 27 Feb 2020
Fast Generating A Large Number of Gumbel-Max Variables Yiyan Qi P. Wang Yuanming Zhang Junzhou Zhao Guangjian Tian X. Guan 15 4 0 02 Feb 2020
CHAMELEON: A Deep Learning Meta-Architecture for News Recommender Systems [Phd. Thesis] Gabriel de Souza Pereira Moreira GNN 23 2 0 29 Dec 2019
Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation Xin Dong Jingchao Ni Wei Cheng Zhengzhang Chen Bo Zong Dongjin Song Yanchi Liu Haifeng Chen Gerard de Melo 18 52 0 18 Dec 2019
A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research Maurizio Ferrari Dacrema Simone Boglio Paolo Cremonesi Dietmar Jannach 15 196 0 18 Nov 2019
Two-Headed Monster And Crossed Co-Attention Networks Yaoyiran Li Jing Jiang 24 0 0 10 Nov 2019
Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches Maurizio Ferrari Dacrema Paolo Cremonesi Dietmar Jannach 15 581 0 16 Jul 2019
A Novel User Representation Paradigm for Making Personalized Candidate Retrieval Zheng Liu Yu Xing Jianxun Lian Defu Lian Ziyao Li Xing Xie 32 3 0 15 Jul 2019
A Neural Attention Model for Adaptive Learning of Social Friends' Preferences Dimitrios Rafailidis Gerhard Weiss GNN FedML 28 2 0 29 Jun 2019
Quaternion Collaborative Filtering for Recommendation Shuai Zhang Lina Yao Lucas Vinh Tran Aston Zhang Yi Tay 26 27 0 06 Jun 2019
A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends Saptarshi Sengupta Sanchita Basak P. Saikia Sayak Paul Vasilios Tsalavoutis Frederick Ditliac Atiah V. Ravi R. Peters AI4CE 32 324 0 30 May 2019
Collaborative Self-Attention for Recommender Systems Kai-Lang Yao Wu-Jun Li 24 1 0 27 May 2019
Signed Distance-based Deep Memory Recommender Thanh-Binh Tran Xinyue Liu Kyumin Lee Xiangnan Kong FedML HAI 14 20 0 01 May 2019
Multi-Scale Quasi-RNN for Next Item Recommendation Chaoyue He Yong-jin Liu Qingyu Guo C. Miao MQ 3DV 21 2 0 26 Feb 2019
Self-Attentive Neural Collaborative Filtering Yi Tay Shuai Zhang Anh Tuan Luu S. Hui 23 2 0 17 Jun 2018
Multi-Cast Attention Networks for Retrieval-based Question Answering and Response Prediction Yi Tay Anh Tuan Luu S. Hui 16 35 0 03 Jun 2018
CoupleNet: Paying Attention to Couples with Coupled Attention for Relationship Recommendation Yi Tay Anh Tuan Luu S. Hui 10 23 0 29 May 2018
Interact and Decide: Medley of Sub-Attention Networks for Effective Group Recommendation Lucas Vinh Tran T. Pham Yi Tay Yiding Liu Gao Cong Xiaoli Li 21 93 0 12 Apr 2018
TransRev: Modeling Reviews as Translations from Users to Items Alberto García-Durán Roberto Gonzalez Daniel Oñoro-Rubio Mathias Niepert Hui Li 18 24 0 30 Jan 2018
Latent Relational Metric Learning via Memory-based Attention for Collaborative Ranking Yi Tay Anh Tuan Luu S. Hui 22 303 0 17 Jul 2017
A Decomposable Attention Model for Natural Language Inference Ankur P. Parikh Oscar Täckström Dipanjan Das Jakob Uszkoreit 213 1,367 0 06 Jun 2016