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Personalized Transformer for Explainable Recommendation

Personalized Transformer for Explainable Recommendation

25 May 2021
Lei Li
Yongfeng Zhang
Li Chen
ArXivPDFHTML

Papers citing "Personalized Transformer for Explainable Recommendation"

44 / 44 papers shown
Title
HF4Rec: Human-Like Feedback-Driven Optimization Framework for Explainable Recommendation
HF4Rec: Human-Like Feedback-Driven Optimization Framework for Explainable Recommendation
Jiakai Tang
Jingsen Zhang
Zihang Tian
Xueyang Feng
Lei Wang
Xu Chen
OffRL
162
0
0
19 Apr 2025
Personalized Generation In Large Model Era: A Survey
Yiyan Xu
Jinghao Zhang
Alireza Salemi
Xinting Hu
Luu Anh Tuan
Fuli Feng
Hamed Zamani
Xiangnan He
Tat-Seng Chua
3DV
79
2
0
04 Mar 2025
G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation
G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation
Yuhan Li
Xinni Zhang
Linhao Luo
Heng Chang
Yuxiang Ren
Irwin King
Jiajian Li
60
3
0
18 Feb 2025
GaVaMoE: Gaussian-Variational Gated Mixture of Experts for Explainable Recommendation
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
MAPLE: Enhancing Review Generation with Multi-Aspect Prompt LEarning in
  Explainable Recommendation
MAPLE: Enhancing Review Generation with Multi-Aspect Prompt LEarning in Explainable Recommendation
Ching Yang
Che Chen
Kun-da Wu
Hao Xu
Jui-Feng Yao
Hung-Yu Kao
VLM
LRM
33
0
0
19 Aug 2024
XRec: Large Language Models for Explainable Recommendation
XRec: Large Language Models for Explainable Recommendation
Qiyao Ma
Xubin Ren
Chao Huang
LRM
37
18
0
04 Jun 2024
Two Tales of Persona in LLMs: A Survey of Role-Playing and
  Personalization
Two Tales of Persona in LLMs: A Survey of Role-Playing and Personalization
Yu-Min Tseng
Yu-Chao Huang
Teng-Yun Hsiao
Yu-Ching Hsu
Chao-Wei Huang
Jia-Yin Foo
Yun-Nung Chen
LLMAG
262
68
0
03 Jun 2024
Stability of Explainable Recommendation
Stability of Explainable Recommendation
Sairamvinay Vijayaraghavan
Prasant Mohapatra
AAML
38
1
0
03 May 2024
Robust Explainable Recommendation
Robust Explainable Recommendation
Sairamvinay Vijayaraghavan
Prasant Mohapatra
AAML
26
0
0
03 May 2024
Modeling the Quality of Dialogical Explanations
Modeling the Quality of Dialogical Explanations
Milad Alshomary
Felix Lange
Meisam Booshehri
Meghdut Sengupta
Philipp Cimiano
Henning Wachsmuth
41
2
0
01 Mar 2024
PAP-REC: Personalized Automatic Prompt for Recommendation Language Model
PAP-REC: Personalized Automatic Prompt for Recommendation Language Model
Zelong Li
Jianchao Ji
Yingqiang Ge
Wenyue Hua
Yongfeng Zhang
19
5
0
01 Feb 2024
Uncertainty-Aware Explainable Recommendation with Large Language Models
Uncertainty-Aware Explainable Recommendation with Large Language Models
Yicui Peng
Hao Chen
C. Lin
Guo Huang
Jinrong Hu
Hui Guo
Bin Kong
Shu Hu
Xi Wu
Xin Wang
LRM
58
8
0
31 Jan 2024
Comparing Pre-trained Human Language Models: Is it Better with Human
  Context as Groups, Individual Traits, or Both?
Comparing Pre-trained Human Language Models: Is it Better with Human Context as Groups, Individual Traits, or Both?
Nikita Soni
Niranjan Balasubramanian
H. A. Schwartz
Dirk Hovy
36
3
0
23 Jan 2024
Diffusion-EXR: Controllable Review Generation for Explainable Recommendation via Diffusion Models
Diffusion-EXR: Controllable Review Generation for Explainable Recommendation via Diffusion Models
Ling Li
Shaohua Li
Winda Marantika
Alex C. Kot
Huijing Zhan
22
1
0
24 Dec 2023
The Problem of Coherence in Natural Language Explanations of Recommendations
The Problem of Coherence in Natural Language Explanations of Recommendations
Jakub Raczynski
Mateusz Lango
Jerzy Stefanowski
35
6
0
18 Dec 2023
Large Human Language Models: A Need and the Challenges
Large Human Language Models: A Need and the Challenges
Nikita Soni
H. A. Schwartz
João Sedoc
Niranjan Balasubramanian
ALM
AI4CE
30
11
0
09 Nov 2023
Large Language Models for Generative Recommendation: A Survey and
  Visionary Discussions
Large Language Models for Generative Recommendation: A Survey and Visionary Discussions
Lei Li
Yongfeng Zhang
Dugang Liu
L. Chen
3DV
LRM
32
71
0
03 Sep 2023
Knowledge-grounded Natural Language Recommendation Explanation
Knowledge-grounded Natural Language Recommendation Explanation
Anthony Colas
Jun Araki
Zhengyu Zhou
Bingqing Wang
Z. Feng
32
7
0
30 Aug 2023
LLMRec: Benchmarking Large Language Models on Recommendation Task
LLMRec: Benchmarking Large Language Models on Recommendation Task
Junling Liu
Chao-Hong Liu
Peilin Zhou
Qichen Ye
Dading Chong
...
Yueqi Xie
Yuwei Cao
Shoujin Wang
Chenyu You
Philip S.Yu
ALM
LRM
33
32
0
23 Aug 2023
When Large Language Models Meet Personalization: Perspectives of
  Challenges and Opportunities
When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities
Jin Chen
Zheng Liu
Xunpeng Huang
Chenwang Wu
Qi Liu
...
Yuxuan Lei
Xiaolong Chen
Xingmei Wang
Defu Lian
Enhong Chen
ALM
35
110
0
31 Jul 2023
Comparing Apples to Apples: Generating Aspect-Aware Comparative
  Sentences from User Reviews
Comparing Apples to Apples: Generating Aspect-Aware Comparative Sentences from User Reviews
J. Echterhoff
An Yan
Julian McAuley
29
0
0
05 Jul 2023
Counterfactual Collaborative Reasoning
Counterfactual Collaborative Reasoning
Jianchao Ji
Zelong Li
Shuyuan Xu
Max Xiong
Juntao Tan
Yingqiang Ge
Hao Wang
Yongfeng Zhang
CML
LRM
34
11
0
30 Jun 2023
VIP5: Towards Multimodal Foundation Models for Recommendation
VIP5: Towards Multimodal Foundation Models for Recommendation
Shijie Geng
Juntao Tan
Shuchang Liu
Zuohui Fu
Yongfeng Zhang
32
70
0
23 May 2023
Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender
  System
Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender System
Yunfan Gao
Tao Sheng
Youlin Xiang
Yun Xiong
Haofen Wang
Jiawei Zhang
RALM
KELM
132
265
0
25 Mar 2023
COFFEE: Counterfactual Fairness for Personalized Text Generation in
  Explainable Recommendation
COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation
Nan Wang
Qifan Wang
Yi-Chia Wang
Maziar Sanjabi
Jingzhou Liu
Hamed Firooz
Hongning Wang
Shaoliang Nie
28
6
0
14 Oct 2022
UCEpic: Unifying Aspect Planning and Lexical Constraints for Generating
  Explanations in Recommendation
UCEpic: Unifying Aspect Planning and Lexical Constraints for Generating Explanations in Recommendation
Jiacheng Li
Zhankui He
Jingbo Shang
Julian McAuley
29
11
0
28 Sep 2022
A Comprehensive Survey on Trustworthy Recommender Systems
A Comprehensive Survey on Trustworthy Recommender Systems
Wenqi Fan
Xiangyu Zhao
Xiao Chen
Jingran Su
Jingtong Gao
...
Qidong Liu
Yiqi Wang
Hanfeng Xu
Lei Chen
Qing Li
FaML
43
46
0
21 Sep 2022
On Faithfulness and Coherence of Language Explanations for
  Recommendation Systems
On Faithfulness and Coherence of Language Explanations for Recommendation Systems
Zhouhang Xie
Julian McAuley
Bodhisattwa Prasad Majumder
LRM
27
1
0
12 Sep 2022
Factual and Informative Review Generation for Explainable Recommendation
Factual and Informative Review Generation for Explainable Recommendation
Zhouhang Xie
Sameer Singh
Julian McAuley
Bodhisattwa Prasad Majumder
47
26
0
12 Sep 2022
"Mama Always Had a Way of Explaining Things So I Could Understand'': A
  Dialogue Corpus for Learning to Construct Explanations
"Mama Always Had a Way of Explaining Things So I Could Understand'': A Dialogue Corpus for Learning to Construct Explanations
Henning Wachsmuth
Milad Alshomary
24
12
0
06 Sep 2022
Learn Basic Skills and Reuse: Modularized Adaptive Neural Architecture
  Search (MANAS)
Learn Basic Skills and Reuse: Modularized Adaptive Neural Architecture Search (MANAS)
H. Chen
Yunqi Li
He Zhu
Yongfeng Zhang
39
5
0
23 Aug 2022
Towards Generating Robust, Fair, and Emotion-Aware Explanations for
  Recommender Systems
Towards Generating Robust, Fair, and Emotion-Aware Explanations for Recommender Systems
Bingbing Wen
Yunhe Feng
Yongfeng Zhang
Chirag Shah
19
1
0
17 Aug 2022
Bundle MCR: Towards Conversational Bundle Recommendation
Bundle MCR: Towards Conversational Bundle Recommendation
Zhankui He
Handong Zhao
Tong Yu
Sungchul Kim
F. Du
Julian McAuley
32
22
0
26 Jul 2022
Personalized Showcases: Generating Multi-Modal Explanations for
  Recommendations
Personalized Showcases: Generating Multi-Modal Explanations for Recommendations
An Yan
Zhankui He
Jiacheng Li
Tianyang Zhang
Julian McAuley
33
35
0
30 Jun 2022
Fairness in Recommendation: Foundations, Methods and Applications
Fairness in Recommendation: Foundations, Methods and Applications
Yunqi Li
H. Chen
Shuyuan Xu
Yingqiang Ge
Juntao Tan
Shuchang Liu
Yongfeng Zhang
FaML
OffRL
108
41
0
26 May 2022
Recommendation as Language Processing (RLP): A Unified Pretrain,
  Personalized Prompt & Predict Paradigm (P5)
Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)
Shijie Geng
Shuchang Liu
Zuohui Fu
Yingqiang Ge
Yongfeng Zhang
VLM
AI4TS
23
448
0
24 Mar 2022
Learning and Evaluating Graph Neural Network Explanations based on
  Counterfactual and Factual Reasoning
Learning and Evaluating Graph Neural Network Explanations based on Counterfactual and Factual Reasoning
Juntao Tan
Shijie Geng
Zuohui Fu
Yingqiang Ge
Shuyuan Xu
Yunqi Li
Yongfeng Zhang
38
108
0
17 Feb 2022
Personalized Prompt Learning for Explainable Recommendation
Personalized Prompt Learning for Explainable Recommendation
Lei Li
Yongfeng Zhang
Li Chen
LRM
21
164
0
15 Feb 2022
Measuring "Why" in Recommender Systems: a Comprehensive Survey on the
  Evaluation of Explainable Recommendation
Measuring "Why" in Recommender Systems: a Comprehensive Survey on the Evaluation of Explainable Recommendation
Xu Chen
Yongfeng Zhang
Jingxuan Wen
XAI
ELM
OffRL
21
34
0
14 Feb 2022
From Intrinsic to Counterfactual: On the Explainability of
  Contextualized Recommender Systems
From Intrinsic to Counterfactual: On the Explainability of Contextualized Recommender Systems
Yao Zhou
Haonan Wang
Jingrui He
Haixun Wang
32
15
0
28 Oct 2021
Problem Learning: Towards the Free Will of Machines
Problem Learning: Towards the Free Will of Machines
Yongfeng Zhang
FaML
21
2
0
01 Sep 2021
Counterfactual Explainable Recommendation
Counterfactual Explainable Recommendation
Juntao Tan
Shuyuan Xu
Yingqiang Ge
Yunqi Li
Xu Chen
Yongfeng Zhang
CML
27
141
0
24 Aug 2021
Attention-like feature explanation for tabular data
Attention-like feature explanation for tabular data
A. Konstantinov
Lev V. Utkin
FAtt
24
5
0
10 Aug 2021
Local Interpretations for Explainable Natural Language Processing: A
  Survey
Local Interpretations for Explainable Natural Language Processing: A Survey
Siwen Luo
Hamish Ivison
S. Han
Josiah Poon
MILM
33
48
0
20 Mar 2021
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