Learning to Generate Product Reviews from Attributes

Cited by (191)

Items 101–191 of 191

1. A Multi-modal Multi-task based Approach for Movie Recommendation
   Subham Raj, Prabir Mondal, Daipayan Chakder, Sriparna Saha, Naoyuki Onoe · 2023 · International Joint Conference on Neural Networks (IJCNN)
2. Attribute-Based Injection Transformer for Personalized Sentiment Analysis
   You Zhang, Jin Wang, Liang-Chih Yu, Dan Xu, Xuejie Zhang · 2024 · IEEE Transactions on Emerging Topics in Computational Intelligence
3. AI-Powered Text Generation for Harmonious Human-Machine Interaction: Current State and Future Directions
   Qiuyun Zhang, Bin Guo, Hao Wang, Yunji Liang, Shaoyang Hao, Zhiwen Yu · 2019 · IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI)
4. Generating Long Financial Report using Conditional Variational Autoencoders with Knowledge Distillation
   Yunpeng Ren, Ziao Wang, Yiyuan Wang, Xiaofeng Zhang · 2021 · Proceedings of the AAAI Conference on Artificial Intelligence
5. Improving Explainable Recommendations with Synthetic Reviews
   Sixun Ouyang, Aonghus Lawlor, Felipe Costa, Peter Dolog · 2018 · arXiv (Cornell University)
6. NEAR: Non-supervised Explainability Architecture for Accurate Review-Based Collaborative Filtering
   Reinald Adrian Pugoy, Hung‐Yu Kao · 2022 · IEEE Transactions on Knowledge and Data Engineering
7. Triple Dual Learning for Opinion-based Explainable Recommendation
   Yuting Zhang, Ying Sun, Fuzhen Zhuang, Yongchun Zhu, Zhulin An, Yongjun Xu · 2023 · ACM Transactions on Information Systems
8. Natural Language Explainable Recommendation with Robustness Enhancement
   Jing-Sen Zhang, Jia-Kai Tang, Xu Chen, Wen-Hui Yu, Lan-Tao Hu, Peng Jiang, Han Li · 2024 · Knowledge Discovery and Data Mining
9. Comprehend Then Predict: Prompting Large Language Models for Recommendation with Semantic and Collaborative Data
   Zhiang Dong, Liya Hu, Jingyuan Chen, Zhihua Wang, Fei Qing Wu · 2025 · ACM Transactions on Information Systems
10. μ-Forcing
    Dayiheng Liu, Xue Yang, Feng He, Yuanyuan Chen, Jiancheng Lv · 2019 · ACM Transactions on Asian and Low-Resource Language Information Processing
11. ExpScore: Learning Metrics for Recommendation Explanation
    Bingbing Wen, Yunhe Feng, Yongfeng Zhang, Chirag Suresh Shah · 2022 · International World Wide Web Conference (WWW)
12. Towards Explainable Recommendation Via Bert-Guided Explanation Generator
    Zhan, Huijing, Li, Ling, Li, Shaohua, Liu, Weide, Gupta, Manas, Kot, Alex C. · 2023 · ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
13. DeepDepict
    Shaoyang Hao, Bin Guo, Hao Wang, Yunji Liang, Lina Yao, Qianru Wang, Zhiwen Yu · 2021 · ACM Transactions on Knowledge Discovery from Data
14. Generating Financial Reports from Macro News via Multiple Edits Neural Networks
    Wenxin Hu, Xiaofeng Zhang, Yunpeng Ren · 2021 · Lecture notes in computer science
15. Review-Aware Recommender Systems (RARSs): Recent Advances, Experimental Comparative Analysis, Discussions, and New Directions
    Guilherme Bittencourt, Naan Vasconcelos, Yan Andrade, Nicollas Campos Silva, Washington Luiz Miranda da Cunha, Diego Roberto Colombo Dias, Marcos André Gonçalves, Leonardo Chaves Dutra da Rocha · 2025 · ACM Computing Surveys
16. A hybrid deep generative neural model for financial report generation
    Yunpeng Ren, Wenxin Hu, Ziao Wang, Xiaofeng Zhang, Yiyuan Wang, Xuan Wang · 2021 · Knowledge-Based Systems
17. Fine-Grained Sentiment-Controlled Text Generation Approach Based on Pre-Trained Language Model
    Linan Zhu, Yifei Xu, Zhechao Zhu, Yinwei Bao, Xiangjie Kong · 2022 · Applied Sciences
18. An explainable recommendation algorithm based on content summarization and linear attention
    Jun Ai, Hao-Lin Li, Zhan Su, Fengyu Zhao · 2025 · Neurocomputing
19. Knowledge-Grounded Natural Language Recommendation Explanation
    Anthony Colas, Jun Araki, Zhengyu Zhou, Bingqing Wang, Zhe Feng · 2023 · BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP (BlackboxNLP)
20. Domain-aware self-prompting for cross-domain sequential recommendations with natural language explanations
    Tesfaye Fenta Boka, Zhendong Niu, Tekie Tsegay Tewolde, Ramadhani Ally Duma · 2025 · Neural Networks
21. Enhancing Explainable Recommendations: Integrating Reason Generation and Rating Prediction through Multi-Task Learning
    Xingyu Zhu, Xiaona Xia, Yuheng Wu, Wenxu Zhao · 2024 · Applied Sciences
22. ARTS: A General and Efficient Multi-Task Self-Prompt Framework for Explainable Sequential Recommendation
    Zunlong Liu, Yang Xu, Gao Cong, Lei Zhu, Qinjun Qiu, Huaxiang Zhang · 2025 · ACM Transactions on Information Systems
23. Explainable Recommendation via Neural Rating Regression and Fine-Grained Sentiment Perception
    Ziyu Yin, Yue Kou, Guangqi Wang, Derong Shen, Tiezheng Nie · 2021 · Lecture notes in computer science
24. Cyclegen: Cyclic consistency based product review generator from attributes
    Vasu Sharma, Harsh Sharma, Ankita Bishnu, Labhesh Patel · 2018 · International Conference on Natural Language Generation
25. Judge the Judges: A Large-Scale Evaluation Study of Neural Language Models for Online Review Generation
    Cristina Gârbacea, Samuel Carton, Yan, Shiyan, Qiaozhu Mei · 2019 · arXiv (Cornell University)
26. TextBox: A Unified, Modularized, and Extensible Framework for Text Generation
    Junyi Li, Tianyi Tang, Gaole He, Jinhao Jiang, Xiaoxuan Hu, Puzhao Xie, Zhipeng Chen, Zhuohao Yu, Wayne Xin Zhao, Ji-Rong Wen · 2021 · arXiv (Cornell University)
27. Active Explainable Recommendation with Limited Labeling Budgets
    Jingsen Zhang, Xiaohe Bo, Chenxi Wang, Quanyu Dai, Zhenhua Dong, Ruiming Tang, Xu Chen · 2024 · IEEE International Conference on Acoustics Speech and Signal Processing
28. A Unified Prompt-aware Framework for Personalized Search and Explanation Generation
    Haobo Zhang, Qiannan Zhu, Zhicheng Dou · 2025 · ACM Transactions on Information Systems
29. Pre-trained Personalized Review Summarization with Effective Salience Estimation
    Hongyan Xu, Hongtao Liu, Zhepeng Lv, Qing Kun Yang, Wenjun Wang · 2023 · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
30. Sentiment-aware Review Summarization with Personalized Multi-task Fine-tuning
    Hongyan Xu, Hongtao Liu, Zhepeng Lv, Qing Yang, Wenjun Wang · 2023 · ACM International Conference on Information and Knowledge Management (CIKM)
31. Applications of Text Generation in Digital Marketing: a review
    Soumaya Loukili, Abdelhadi Fennan, Lotfi Elaachak · 2023 · International Conference on Networking, Information Systems & Security (NISS)
32. Hybrid Prompt Recommendation Explanation Generation combined with Graph Encoder
    Tianhao Wang, Sheng Yi Wu, Fen Yi, Li‐Dan Kuang, You Wang, Jin Zhang · 2024 · Neural Processing Letters
33. ADORE
    Parisa Kaghazgaran, Jianling Wang, Ruihong Huang, James Caverlee · 2020 · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
34. Enhancing Personalized Explainable Recommendations with Transformer Architecture and Feature Handling
    Ming-Yen Lin, I-Chen Hsieh, Sue-Chen Hsueh · 2025 · Electronics
35. Generating Explanations for Recommendation Systems via Injective VAE
    Zerui Cai · 2021 · Proceedings
36. Prompt Tuning Models on Sentiment-Aware for Explainable Recommendation
    Xiuhua Long, Ting Jin · 2024 · Lecture notes in computer science
37. Improving Faithfulness and Factuality with Contrastive Learning in Explainable Recommendation
    Haojie Zhuang, Wei Emma Zhang, Weitong Chen, Jian Yu Yang, Quan Z. Sheng · 2024 · ACM Transactions on Intelligent Systems and Technology
38. A timely personalized comments generation assistant based on LSTM-SNP
    Yixiao Li, Yue Wu, Wenjia Li, Hui Chen, Qi Chen, Yuehui Li · 2024 · Knowledge and Information Systems
39. LLaVA-Tour: A Large Multimodal Model for Japanese Tourist Spot Prediction and Review Generation
    Hiromasa Yamanishi, Ling Xiao, Toshihiko Yamasaki · 2024 · IEEE International Conference on Visual Communications and Image Processing (VCIP)
40. The Impact of Purchasing Intentions on Retail Home Improvements in E-Commerce on Generation Y and Z's Brand Engagement
    Nicole Andrea Bañares, Jazmine Andrea Go, Marc Angelo Nuñez, Derick Paul Taporco · 2022 · Journal of Business and Management Studies
41. Multi-Scale Distribution Deep Variational Autoencoder for Explanation Generation
    Zefeng Cai, Linlin Wang, Gerard de Melo, Fei Sun, Liang He · 2022 · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
42. Web Mining
    Petar Ristoski · 2023 · Springer eBooks
43. Enhancing factualness and controllability of Data-to-Text Generation via data Views and constraints
    Craig Thomson, Clément Rebuffel, Ehud Reiter, Laure Soulier, Somayajulu Gowri Sripada, Patrick Gallinari · 2023 · International Conference on Natural Language Generation
44. Generating Explanations for Explainable Recommendations Using Filter-Enhanced Time-Series Information
    Yuanpeng Qu, Hajime Nobuhara · 2024 · IEEE Access
45. SAER: Sentiment-Opinion Alignment Explainable Recommendation
    Xiaoning Zong, Yong Liu, Yonghui Xu, Yixin Zhang, Zhiqi Shen, Yonghua Yang, Lizhen Cui · 2022 · Lecture notes in computer science
46. T-RECS: a Transformer-based Recommender Generating Textual Explanations and Integrating Unsupervised Language-based Critiquing.
    Diego Antognini, Claudiu Musat, Boi V. Faltings · 2020 · arXiv (Cornell University)
47. Segment, Recommend, and Explain: Advancing Conversational Recommender Systems with Large Language Model Agents
    Fillipe dos Santos Silva · 2025 · ACM Conference on User Modeling, Adaptation and Personalization (UMAP)
48. Hierarchical Interaction Summarization and Contrastive Prompting for Explainable Recommendations
    Yibin Liu, Ang Li, Shijian Li · 2025 · Lecture notes in computer science
49. Explanation Generated for Sequential Recommendation based on Transformer model
    Yuanpeng Qu, Hajime Nobuhara · 2022 · Joint International Conference on Soft Computing and Intelligent Systems and International Symposium on Advanced Intelligent Systems (SCIS&ISIS)
50. Personalized Review Recommendation without User Interactive Data
    Shufan He, Hua Zhang, Zhiying Tu, Dianhui Chu · 2022 · IEEE International Conference on High Performance Computing and Communications; IEEE International Conference on Smart City; IEEE International Conference on Data Science and Systems (HPCC/SmartCity/DSS)
51. Recommendation with Dynamic Natural Language Explanations
    Xi Li, Jingsen Zhang, Xiaohe Bo, Lei Wang, Xu Chen · 2023 · International Joint Conference on Neural Networks (IJCNN)
52. Learning Implicit Sentiment for Explainable Review-Based Recommendation
    Ningning Sun, Yue Kou, Xiangmin Zhou, Derong Shen, Li Dong, Tiezheng Nie · 2023 · Lecture notes in computer science
53. Educating Language Models as Promoters: Multi-Aspect Instruction Alignment With Self-Augmentation
    Xueyao Sun, Kaize Shi, Haoran Tang, Dingxian Wang, Guandong Xu, Qing Li · 2025 · IEEE Transactions on Knowledge and Data Engineering
54. User Preference-Aware Review Generation
    Wei Wang, Hai-Tao Zheng, Hao Líu · 2019 · Lecture notes in computer science
55. How to Generate Reasonable Texts with Controlled Attributes
    Yanan Zheng, Yan Wang, Lijie Wen, Jianmin Wang · 2020 · Lecture notes in computer science
56. Behavior Based Dynamic Summarization on Product Aspects via Reinforcement Neighbour Selection
    Zheng Gao, Lujun Zhao, Huang Heng, Hongsong Li, Changlong Sun, Luo Si, Xiaozhong Liu · 2020 · Frontiers in artificial intelligence and applications
57. Knowledge Enhanced Opinion Generation from an Attitude
    Zhe Ye, Ruihua Song, Hao Fu, Pingping Lin, Jian‐Yun Nie, Fang Li · 2020 · Lecture notes in computer science
58. Neural Adversarial Review Summarization with Hierarchical Personalized Attention
    Hongyan Xu, Hongtao Liu, Wenjun Wang, Pengfei Jiao · 2021 · Lecture notes in computer science
59. Aspect Based Sentiment Analysis On Review Data
    Wei Xue · 2017 · FIU - Digital Commons (Florida International University)
60. Read, Attend and Comment: A Deep Architecture for Automatic News Comment Generation
    Ze Yang, Can Xu, Wei Wu, Zhoujun Li · 2019 · arXiv (Cornell University)
61. Towards Controllable and Personalized Review Generation
    Pan Li, Alexander Tuzhilin · 2019 · arXiv (Cornell University)
62. Hierarchical Aspect-guided Explanation Generation for Explainable Recommendation
    Yidan Hu, Yong Liu, Chunyan Miao, Gongqi Lin, Yuan Miao · 2021 · arXiv (Cornell University)
63. Multi-view Latent Factor Models for Recommender Systems
    Felipe Costa · 2019
64. Personalized Review-Oriented Explanations for Recommender Systems
    Felipe Costa, Peter Dolog · 2019 · Lecture notes in business information processing
65. ANAPHORIC PRONOUN RESOLUTION FOR IMPROVING FUSION BASED SUMMARIZATION OF SIMPLE VIETNAMESE TEXTS
    Trung Tran, Nguyen Tuan Dang · 2018 · Nghiên cứu cơ bản và ứng dụng Công nghệ thông tin (FAIR)
66. E-commerce Query-based Generation based on User Review
    Yiren Liu, Kuan-Ying Lee · 2020 · arXiv (Cornell University)
67. A Template-Based Approach for Generating Vietnamese References from Flat MR Dataset in Restaurant Domain
    Dang Tuan Nguyen, Trung Tran · 2020 · Communications in computer and information science
68. Aspect-Oriented Summarization through Query-Focused Extraction.
    Ojas Ahuja, Jiacheng Xu, Akshay Gupta, Kevin M. Horecka, Greg Durrett · 2021 · arXiv (Cornell University)
69. Towards Personalized Review Generation with Gated Multi-source Fusion Network
    Hongtao Liu, Wenjun Wang, Hongyan Xu, Qiyao Peng, Pengfei Jiao, Yueheng Sun · 2022 · Lecture notes in computer science
70. Machine Propositional Model Research Based on Natural Language Processing
    Jie Zhou, Yuqi Sun, Baoping Wang, Zheng Wang, Kun Li, Xujia Li · 2022 · IEEE International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA)
71. Sentiment-Aware Neural Recommendation with Opinion-Based Explanations
    Lingyu Zhao, Yue Kou, Derong Shen, Tiezheng Nie, Dong Li · 2022 · Lecture notes in computer science
72. Sentiment Analysis of Consumer Reviews: Unveiling Perspectives and Building a Machine Learning Model for Product Evaluation
    Hassan Latif, Muhammad Ali Imran, Rabia Javed, Adil Siddique · 2023 · STATISTICS COMPUTING AND INTERDISCIPLINARY RESEARCH
73. Towards trustworthy recommenders: building explainable and unbiased recommendation systems
    Yidan Hu · 2024
74. A Hybrid Approach to Explainable Recommendation: Combining Synthetic Coordinate, Kolmogorov-Arnold Network and Transformer
    均 艾 · 2025 · Modeling and Simulation
75. Multi-Modal Contrastive Fusion for Consensus Learning in Sequential Group Recommendation
    Yue Kou, Dong Li, Qixiang Tang, Derong Shen, Tiezheng Nie · 2025 · IEEE International Conference on Multimedia and Expo (ICME)
76. Natural Language Processing: Innovations, Recent Trends and Challenges
    Padma Prasada, Malode Vishwanatha Panduranga Rao, Ujwala Vishwanatharao Suryawanshi · 2025 · Communications in computer and information science
77. Multimodal enhanced Explainable Recommendation with Contrastive Learning
    Kaihan Zhang, Zixuan Wang, Kangchi Liu, Ping Chen, Peng Song, Jiye Liang · 2025 · International Joint Conference on Neural Networks (IJCNN)
78. STLLM-Rec: enhancing explainable recommendation via self-training LLMs
    Ziyu Li, Zhijie Tan, Suhuan Wu, Weiping Li, Tong Mo · 2026 · World Wide Web
79. Entity-Aware Pretraining of Large Language Models for Recommendation Systems
    Zhixuan Chu, Yifan Zhu · 2025 · IEEE International Conference on Big Data (BigData)
80. Deep Natural Language Processing for User Representation
    Clara Gainon de Forsan de Gabriac · 2021 · theses.fr (ABES)
81. Dynamic Explainable Recommendation with Multi-Feature and Personalized Test-Time Inference
    Xi Li, Yaozhong Xiong, Chen Ma, Bozhi Bai · 2026 · IEEE International Conference on Acoustics Speech and Signal Processing
82. Generative Multi-Modal Explainable Recommendation
    Xi Li, Chen Ma, Bozhi Bai, Yaozhong Xiong · 2026 · IEEE International Conference on Acoustics Speech and Signal Processing
83. LLMEKERec: Explainable Recommendation via Knowledge Graph Path Reasoning with LLMs
    Yachao Cui, Yuli Liu, Zhengjun Du, Dong Li · 2026 · IEEE International Conference on Acoustics Speech and Signal Processing
84. Zero to Feedback: Leveraging Large Language Models for Augmented Review Generation in Cold-Start Scenarios
    Meysam Roostaee · 2026 · Iranian Journal of Science and Technology Transactions of Electrical Engineering
85. Curr-RLCER: Curriculum Reinforcement Learning for Coherence Explainable Recommendation
    Xiangchen Pan, Wei Wei · 2026 · Lecture notes in computer science
86. On the Factual Consistency of Text-Based Explainable Recommendation Models
    Ben Kabongo, Vincent Guigue · 2026 · Lecture notes in computer science
87. IFHAGrec: Instruction-Finetuned Heterogeneous-Aware Graph Neural Network for Temporally Weighted Recommendation Model
    Hongrui Wang, Shanchuan Yu, Xiaoyan Zhu, Guangtao Wang, Jiayin Wang, Jiaxuan Li, Jindong Jiang · 2026 · Lecture notes in computer science
88. Uniform LLM-Based Framework for Explainable Recommender Systems
    Hajar Laktaoui, Mohamed Lechiakh, Robert Basmadjian, Lamiae Azizi · 2026 · Lecture notes in computer science
89. Contrastive Learning for Aspect Representation Towards Explainable Recommendation
    Emrul Hasan, Chen Ding · 2025 · IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)
90. FASC: A Feature Aspect-Level Sentiment Consistency Framework for Explainable Recommendation Evaluation
    Chenfu Yu, Qinglin Huang, Xiaoxuan Shen, Qian Wan, Zhicheng Dai, Jianwen Sun, Ruxia Liang · 2026 · ACM Conference on Recommender Systems (RecSys)
91. Explainable Recommendation with Topic-enhanced Personalized Prompt Learning
    Rui Tang, Cheng Yang, Peng Yi · 2026 · International Joint Conference on Neural Networks (IJCNN)