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Personalized Prompt Learning for Explainable Recommendation
v1v2 (latest)

Personalized Prompt Learning for Explainable Recommendation

15 February 2022
Lei Li
Zelong Li
Li Chen
    LRM
ArXiv (abs)PDFHTML

Papers citing "Personalized Prompt Learning for Explainable Recommendation"

49 / 49 papers shown
Title
HADSF: Aspect Aware Semantic Control for Explainable Recommendation
HADSF: Aspect Aware Semantic Control for Explainable Recommendation
Zheng Nie
Peijie Sun
93
0
0
30 Oct 2025
Generative Reasoning Recommendation via LLMs
Generative Reasoning Recommendation via LLMs
Minjie Hong
Zetong Zhou
Zirun Guo
Ziang Zhang
Ruofan Hu
Weinan Gan
Jieming Zhu
Zhou Zhao
LRM
68
0
0
23 Oct 2025
Reproducibility Study of "XRec: Large Language Models for Explainable Recommendation"
Reproducibility Study of "XRec: Large Language Models for Explainable Recommendation"
Ranjan Mishra
Julian I. Bibo
Quinten van Engelen
Henk Schaapman
LRM
68
0
0
06 Oct 2025
ExplainRec: Towards Explainable Multi-Modal Zero-Shot Recommendation with Preference Attribution and Large Language Models
ExplainRec: Towards Explainable Multi-Modal Zero-Shot Recommendation with Preference Attribution and Large Language Models
Bo Ma
LuYao Liu
ZeHua Hu
Simon Lau
LRM
45
0
0
03 Oct 2025
ELIXIR: Efficient and LIghtweight model for eXplaIning Recommendations
ELIXIR: Efficient and LIghtweight model for eXplaIning Recommendations
Ben Kabongo
Vincent Guigue
Pirmin Lemberger
77
0
0
27 Aug 2025
FIRE: Faithful Interpretable Recommendation Explanations
FIRE: Faithful Interpretable Recommendation Explanations
S.M.F. Sani
Asal Meskin
Mohammad Amanlou
Hamid R. Rabiee
LRM
45
0
0
07 Aug 2025
Beyond One-Size-Fits-All: A Study of Neural and Behavioural Variability Across Different Recommendation Categories
Beyond One-Size-Fits-All: A Study of Neural and Behavioural Variability Across Different Recommendation CategoriesInternational Conference on the Theory of Information Retrieval (ICTIR), 2025
Georgios Koutroumpas
Sebastian Idesis
Mireia Masias Bruns
Carlos Segura
Joemon M. Jose
Sergi Abadal
Ioannis Arapakis
59
0
0
16 Jun 2025
Reason-to-Recommend: Using Interaction-of-Thought Reasoning to Enhance LLM Recommendation
Reason-to-Recommend: Using Interaction-of-Thought Reasoning to Enhance LLM Recommendation
Keyu Zhao
Fengli Xu
Yong Li
LRM
633
5
0
05 Jun 2025
Semantic-enhanced Co-attention Prompt Learning for Non-overlapping Cross-Domain Recommendation
Semantic-enhanced Co-attention Prompt Learning for Non-overlapping Cross-Domain Recommendation
Lei Guo
Chenlong Song
Feng Guo
Xiaohui Han
Xiaojun Chang
Lei Zhu
155
1
0
25 May 2025
Explainable Recommendation with Simulated Human Feedback
Explainable Recommendation with Simulated Human Feedback
Jiakai Tang
Jingsen Zhang
Zihang Tian
Xueyang Feng
Lei Wang
Xu Chen
OffRL
802
1
0
19 Apr 2025
POET: Supporting Prompting Creativity and Personalization with Automated Expansion of Text-to-Image Generation
POET: Supporting Prompting Creativity and Personalization with Automated Expansion of Text-to-Image GenerationACM Symposium on User Interface Software and Technology (UIST), 2025
Evans Xu Han
Alice Qian Zhang
Haiyi Zhu
Haiyi Zhu
Paul Pu Liang
Jane Hsieh
311
1
0
18 Apr 2025
Enhancing LLM-based Recommendation through Semantic-Aligned Collaborative Knowledge
Enhancing LLM-based Recommendation through Semantic-Aligned Collaborative Knowledge
Zihan Wang
Jinghao Lin
Xiaocui Yang
Yongkang Liu
Shi Feng
Daling Wang
Yanzhe Zhang
131
1
0
14 Apr 2025
UQABench: Evaluating User Embedding for Prompting LLMs in Personalized Question Answering
UQABench: Evaluating User Embedding for Prompting LLMs in Personalized Question Answering
Liu Liu
Shilei Liu
Yujin Yuan
Yanzhe Zhang
Bencheng Yan
...
Di Wang
Yuchi Xu
Pengjie Wang
Jian Xu
Bo Zheng
237
2
0
26 Feb 2025
EAGER-LLM: Enhancing Large Language Models as Recommenders through Exogenous Behavior-Semantic Integration
EAGER-LLM: Enhancing Large Language Models as Recommenders through Exogenous Behavior-Semantic IntegrationThe Web Conference (WWW), 2025
Minjie Hong
Yan Xia
Liang Luo
Jieming Zhu
Ye Wang
...
Xiaoda Yang
Quanyu Dai
Zhenhua Dong
Zhimeng Zhang
Zhou Zhao
188
17
0
21 Feb 2025
G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation
G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable RecommendationThe Web Conference (WWW), 2025
Yuhan Li
Xinni Zhang
Linhao Luo
Heng Chang
Yuxiang Ren
Irwin King
Jiajian Li
214
25
0
18 Feb 2025
Tapping the Potential of Large Language Models as Recommender Systems: A Comprehensive Framework and Empirical Analysis
Tapping the Potential of Large Language Models as Recommender Systems: A Comprehensive Framework and Empirical AnalysisACM Transactions on Knowledge Discovery from Data (TKDD), 2024
Lanling Xu
Junjie Zhang
Bingqian Li
Jinpeng Wang
Sheng Chen
Wayne Xin Zhao
Ji-Rong Wen
370
24
0
17 Jan 2025
A Contrastive Pretrain Model with Prompt Tuning for Multi-center Medication Recommendation
A Contrastive Pretrain Model with Prompt Tuning for Multi-center Medication Recommendation
Qiang Liu
Zhaopeng Qiu
Xiangyu Zhao
X. Wu
Zijian Zhang
Tong Xu
Feng Tian
334
5
0
31 Dec 2024
Prompt Tuning for Item Cold-start Recommendation
Prompt Tuning for Item Cold-start RecommendationACM Conference on Recommender Systems (RecSys), 2024
Yuezihan Jiang
Gaode Chen
Wenhan Zhang
Jiadong Wang
Yinjie Jiang
Qi Zhang
Jingjian Lin
Peng Jiang
Kaigui Bian
VLM
154
2
0
24 Dec 2024
Interpret the Internal States of Recommendation Model with Sparse Autoencoder
Interpret the Internal States of Recommendation Model with Sparse Autoencoder
Jiayin Wang
Xiaoyu Zhang
Weizhi Ma
Zhiqiang Guo
Min Zhang
193
3
0
09 Nov 2024
Enhancing ID-based Recommendation with Large Language Models
Enhancing ID-based Recommendation with Large Language Models
Lei Chen
Chen Gao
Xiaoyi Du
Hengliang Luo
Depeng Jin
Yong Li
Ming Wang
201
11
0
04 Nov 2024
Disentangling Likes and Dislikes in Personalized Generative Explainable Recommendation
Disentangling Likes and Dislikes in Personalized Generative Explainable RecommendationThe Web Conference (WWW), 2024
Ryotaro Shimizu
Takashi Wada
Yu Wang
Johannes Kruse
Sean O'Brien
...
Yuya Yoshikawa
Yuki Saito
Fugee Tsung
M. Goto
Julian McAuley
188
5
0
17 Oct 2024
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
204
0
0
15 Oct 2024
Graph and Sequential Neural Networks in Session-based Recommendation: A Survey
Graph and Sequential Neural Networks in Session-based Recommendation: A SurveyACM Computing Surveys (ACM CSUR), 2024
Zihao Li
Chao Yang
Yakun Chen
Xianzhi Wang
Hongxu Chen
Guandong Xu
Lina Yao
Quan Z. Sheng
GNN
162
20
0
27 Aug 2024
Denoising Pre-Training and Customized Prompt Learning for Efficient
  Multi-Behavior Sequential Recommendation
Denoising Pre-Training and Customized Prompt Learning for Efficient Multi-Behavior Sequential Recommendation
Hao Wang
Yongqiang Han
Kefan Wang
Kai Cheng
Zhen Wang
Wei Guo
Yong Liu
Defu Lian
Enhong Chen
153
4
0
21 Aug 2024
Large Language Model Driven Recommendation
Large Language Model Driven Recommendation
Anton Korikov
Scott Sanner
Yashar Deldjoo
Zhankui He
Julian McAuley
...
René Vidal
M. Sathiamoorthy
Atoosa Kasrizadeh
Silvia Milano
Francesco Ricci
256
0
0
20 Aug 2024
Prompt Tuning as User Inherent Profile Inference Machine
Prompt Tuning as User Inherent Profile Inference Machine
Yusheng Lu
Zhaocheng Du
Xiangyang Li
Pengyue Jia
Yejing Wang
...
Huifeng Guo
Ruiming Tang
Zhenhua Dong
Yongrui Duan
Xiangyu Zhao
131
1
0
13 Aug 2024
CherryRec: Enhancing News Recommendation Quality via LLM-driven
  Framework
CherryRec: Enhancing News Recommendation Quality via LLM-driven Framework
Shaohuang Wang
Lun Wang
Yunhan Bu
Tianwei Huang
128
4
0
18 Jun 2024
Review-based Recommender Systems: A Survey of Approaches, Challenges and Future Perspectives
Review-based Recommender Systems: A Survey of Approaches, Challenges and Future PerspectivesACM Computing Surveys (ACM CSUR), 2024
Emrul Hasan
Mizanur Rahman
Chen Ding
Jimmy Xiangji Huang
Shaina Raza
269
15
0
09 May 2024
A Map of Exploring Human Interaction patterns with LLM: Insights into
  Collaboration and Creativity
A Map of Exploring Human Interaction patterns with LLM: Insights into Collaboration and Creativity
Jiayang Li
Jiale Li
251
15
0
06 Apr 2024
Exploring the Impact of Large Language Models on Recommender Systems: An
  Extensive Review
Exploring the Impact of Large Language Models on Recommender Systems: An Extensive Review
A. Vats
Vinija Jain
Rahul Raja
Vasu Sharma
LRM
233
22
0
11 Feb 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
Qingfeng Lan
Zelong Li
161
6
0
01 Feb 2024
Enhancing Recommendation Diversity by Re-ranking with Large Language
  Models
Enhancing Recommendation Diversity by Re-ranking with Large Language ModelsACM Transactions on Recommender Systems (TRS), 2024
Diego Carraro
Derek Bridge
LRMALM
213
37
0
21 Jan 2024
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
219
9
0
18 Dec 2023
Embedding in Recommender Systems: A Survey
Embedding in Recommender Systems: A Survey
Maolin Wang
Xinjian Zhao
Xinjian Zhao
Jiansheng Li
Shucheng Zhou
...
Shucheng Zhou
D. Yin
Qing Li
Ruocheng Guo
Xiangyu Zhao
AI4TS
242
28
0
28 Oct 2023
PerPLM: Personalized Fine-tuning of Pretrained Language Models via
  Writer-specific Intermediate Learning and Prompts
PerPLM: Personalized Fine-tuning of Pretrained Language Models via Writer-specific Intermediate Learning and Prompts
Daisuke Oba
Naoki Yoshinaga
Masashi Toyoda
132
2
0
14 Sep 2023
Evaluating ChatGPT as a Recommender System: A Rigorous Approach
Evaluating ChatGPT as a Recommender System: A Rigorous Approach
Dario Di Palma
Giovanni Maria Biancofiore
Vito Walter Anelli
Fedelucio Narducci
Tommaso Di Noia
E. Sciascio
ALM
291
36
0
07 Sep 2023
System-Initiated Transitions from Chit-Chat to Task-Oriented Dialogues
  with Transition Info Extractor and Transition Sentence Generator
System-Initiated Transitions from Chit-Chat to Task-Oriented Dialogues with Transition Info Extractor and Transition Sentence GeneratorInternational Conference on Natural Language Generation (INLG), 2023
Ye Liu
Stefan Ultes
Wolfgang Minker
Wolfgang Maier
171
5
0
06 Aug 2023
When Large Language Models Meet Personalization: Perspectives of
  Challenges and Opportunities
When Large Language Models Meet Personalization: Perspectives of Challenges and OpportunitiesWorld wide web (Bussum) (WWWB), 2023
Jin Chen
Zheng Liu
Xunpeng Huang
Chenwang Wu
Qi Liu
...
Yuxuan Lei
Xiaolong Chen
Xingmei Wang
Defu Lian
Enhong Chen
ALM
218
227
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
200
2
0
05 Jul 2023
Recommender Systems in the Era of Large Language Models (LLMs)
Recommender Systems in the Era of Large Language Models (LLMs)IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Zihuai Zhao
Wenqi Fan
Jiatong Li
Yunqing Liu
Xiaowei Mei
...
Zhen Wen
Fei Wang
Xiangyu Zhao
Shucheng Zhou
Qing Li
KELM
480
424
0
05 Jul 2023
Unified Conversational Models with System-Initiated Transitions between
  Chit-Chat and Task-Oriented Dialogues
Unified Conversational Models with System-Initiated Transitions between Chit-Chat and Task-Oriented DialoguesInternational Conference on Conversational User Interfaces (CUI), 2023
Ye Liu
Stefan Ultes
Wolfgang Minker
Wolfgang Maier
129
7
0
04 Jul 2023
Counterfactual Collaborative Reasoning
Counterfactual Collaborative ReasoningWeb Search and Data Mining (WSDM), 2023
Jianchao Ji
Zelong Li
Shuyuan Xu
Max Xiong
Juntao Tan
Yingqiang Ge
Hao Wang
Zelong Li
CMLLRM
246
12
0
30 Jun 2023
Could Small Language Models Serve as Recommenders? Towards Data-centric
  Cold-start Recommendations
Could Small Language Models Serve as Recommenders? Towards Data-centric Cold-start RecommendationsThe Web Conference (WWW), 2023
Xuansheng Wu
Huachi Zhou
Yucheng Shi
Wenlin Yao
Xiao Shi Huang
Ninghao Liu
LRM
199
28
0
29 Jun 2023
Prompt Tuning Large Language Models on Personalized Aspect Extraction
  for Recommendations
Prompt Tuning Large Language Models on Personalized Aspect Extraction for Recommendations
Pan Li
Yuyan Wang
Ed H. Chi
Minmin Chen
151
19
0
02 Jun 2023
Zero-Shot Next-Item Recommendation using Large Pretrained Language
  Models
Zero-Shot Next-Item Recommendation using Large Pretrained Language Models
Lei Wang
Ee-Peng Lim
LRM
111
79
0
06 Apr 2023
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
204
58
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
169
1
0
12 Sep 2022
Factual and Informative Review Generation for Explainable Recommendation
Factual and Informative Review Generation for Explainable RecommendationAAAI Conference on Artificial Intelligence (AAAI), 2022
Zhouhang Xie
Sameer Singh
Julian McAuley
Bodhisattwa Prasad Majumder
213
29
0
12 Sep 2022
Trustworthy Recommender Systems
Trustworthy Recommender SystemsACM Transactions on Intelligent Systems and Technology (ACM TIST), 2022
Shoujin Wang
Xiuzhen Zhang
Yan Wang
Huan Liu
Francesco Ricci
163
88
0
10 Aug 2022
1