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Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender
  System
v1v2 (latest)

Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender System

25 March 2023
Yunfan Gao
Tao Sheng
Youlin Xiang
Yun Xiong
Haofen Wang
Jiawei Zhang
    RALMKELM
ArXiv (abs)PDFHTML

Papers citing "Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender System"

50 / 103 papers shown
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
253
12
0
04 Nov 2024
CURATe: Benchmarking Personalised Alignment of Conversational AI Assistants
CURATe: Benchmarking Personalised Alignment of Conversational AI Assistants
Lize Alberts
Benjamin Ellis
Andrei Lupu
Jakob Foerster
ELM
320
2
0
28 Oct 2024
Triple Modality Fusion: Aligning Visual, Textual, and Graph Data with Large Language Models for Multi-Behavior Recommendations
Triple Modality Fusion: Aligning Visual, Textual, and Graph Data with Large Language Models for Multi-Behavior Recommendations
Luyi Ma
Xiaohan Li
Zezhong Fan
Kai Zhao
Jianpeng Xu
Praveen Kanumala
Gabriele Tolomei
Sushant Kumar
Sushant Kumar
Kannan Achan
322
13
0
16 Oct 2024
Designing an Interpretable Interface for Contextual Bandits
Designing an Interpretable Interface for Contextual Bandits
Andrew Maher
Matia Gobbo
Lancelot Lachartre
Subash Prabanantham
Rowan Swiers
Puli Liyanagama
240
0
0
23 Sep 2024
Pre-trained Language Model and Knowledge Distillation for Lightweight
  Sequential Recommendation
Pre-trained Language Model and Knowledge Distillation for Lightweight Sequential Recommendation
Li Li
Mingyue Cheng
Zhiding Liu
Hao Zhang
Qi Liu
Enhong Chen
VLM
256
1
0
23 Sep 2024
Negative Sampling in Recommendation: A Survey and Future Directions
Negative Sampling in Recommendation: A Survey and Future Directions
Javier Yong
Ruobing Xie
Lei Meng
Fuli Feng
Xiaoyu Du
Xingwu Sun
Zhanhui Kang
Xiangxu Meng
234
15
0
11 Sep 2024
Language agents achieve superhuman synthesis of scientific knowledge
Language agents achieve superhuman synthesis of scientific knowledge
Michael D. Skarlinski
Sam Cox
Jon M. Laurent
James D. Braza
Michaela M. Hinks
M. Hammerling
Manvitha Ponnapati
Samuel G. Rodriques
Andrew D. White
ELMHILMALM
456
96
0
10 Sep 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
354
0
0
20 Aug 2024
Efficiency Unleashed: Inference Acceleration for LLM-based Recommender Systems with Speculative Decoding
Efficiency Unleashed: Inference Acceleration for LLM-based Recommender Systems with Speculative DecodingAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2024
Yunjia Xi
Hangyu Wang
Bo Chen
Jianghao Lin
Menghui Zhu
Wen Liu
Ruiming Tang
Zhewei Wei
Weinan Zhang
Yong Yu
OffRL
432
7
0
11 Aug 2024
MMREC: LLM Based Multi-Modal Recommender System
MMREC: LLM Based Multi-Modal Recommender SystemInternational Workshop on Semantic and Social Media Adaptation and Personalization (SSMAP), 2024
Jiahao Tian
Jinman Zhao
Zhenkai Wang
Zhicheng Ding
357
37
0
08 Aug 2024
Advancements in Recommender Systems: A Comprehensive Analysis Based on
  Data, Algorithms, and Evaluation
Advancements in Recommender Systems: A Comprehensive Analysis Based on Data, Algorithms, and Evaluation
Xin Ma
Mingyue Li
Xuguang Liu
OffRL
266
6
0
10 Jul 2024
EventChat: Implementation and user-centric evaluation of a large
  language model-driven conversational recommender system for exploring leisure
  events in an SME context
EventChat: Implementation and user-centric evaluation of a large language model-driven conversational recommender system for exploring leisure events in an SME context
Hannes Kunstmann
J. Ollier
Joel Persson
F. Wangenheim
323
2
0
05 Jul 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
192
5
0
18 Jun 2024
Personalized Pieces: Efficient Personalized Large Language Models
  through Collaborative Efforts
Personalized Pieces: Efficient Personalized Large Language Models through Collaborative EffortsConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Zhaoxuan Tan
Zheyuan Liu
Meng Jiang
325
65
0
15 Jun 2024
TokenRec: Learning to Tokenize ID for LLM-based Generative Recommendation
TokenRec: Learning to Tokenize ID for LLM-based Generative RecommendationIEEE Transactions on Knowledge and Data Engineering (TKDE), 2024
Haohao Qu
Wenqi Fan
Zihuai Zhao
Qing Li
324
41
0
15 Jun 2024
On Softmax Direct Preference Optimization for Recommendation
On Softmax Direct Preference Optimization for Recommendation
Yuxin Chen
Junfei Tan
An Zhang
Zhengyi Yang
Leheng Sheng
Enzhi Zhang
Xiang Wang
Tat-Seng Chua
355
72
0
13 Jun 2024
Keyword-driven Retrieval-Augmented Large Language Models for Cold-start User Recommendations
Keyword-driven Retrieval-Augmented Large Language Models for Cold-start User Recommendations
Hai-Dang Kieu
Minh-Duc Nguyen
Thien Hang Nguyen
Dung D. Le
RALMLRM
388
9
0
30 May 2024
Knowledge Adaptation from Large Language Model to Recommendation for
  Practical Industrial Application
Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application
Jian Jia
Yipei Wang
Yan Li
Honggang Chen
Xuehan Bai
...
Jian Liang
Quan Chen
Han Li
Peng Jiang
Kun Gai
KELM
299
31
0
07 May 2024
Large Language Models meet Collaborative Filtering: An Efficient
  All-round LLM-based Recommender System
Large Language Models meet Collaborative Filtering: An Efficient All-round LLM-based Recommender System
Sein Kim
Hongseok Kang
Seungyoon Choi
Donghyun Kim
Minchul Yang
Chanyoung Park
KELM
329
104
0
17 Apr 2024
RecGPT: Generative Personalized Prompts for Sequential Recommendation
  via ChatGPT Training Paradigm
RecGPT: Generative Personalized Prompts for Sequential Recommendation via ChatGPT Training Paradigm
Yabin Zhang
Wenhui Yu
Erhan Zhang
Xu Chen
Lantao Hu
Peng Jiang
Kun Gai
LRM
272
14
0
06 Apr 2024
Re2LLM: Reflective Reinforcement Large Language Model for Session-based
  Recommendation
Re2LLM: Reflective Reinforcement Large Language Model for Session-based Recommendation
Ziyan Wang
Yingpeng Du
Zhu Sun
Haoyan Chua
Kaidong Feng
Wenya Wang
Jie Zhang
LRMKELM
257
8
0
25 Mar 2024
Aligning Large Language Models for Controllable Recommendations
Aligning Large Language Models for Controllable RecommendationsAnnual Meeting of the Association for Computational Linguistics (ACL), 2024
Wensheng Lu
Jianxun Lian
Wei Zhang
Guanghua Li
Mingyang Zhou
Hao Liao
Xing Xie
ALM
309
30
0
08 Mar 2024
A Survey on Recent Advances in LLM-Based Multi-turn Dialogue Systems
A Survey on Recent Advances in LLM-Based Multi-turn Dialogue Systems
Zihao Yi
Jiarui Ouyang
Yuwen Liu
Yuwen Liu
Tianhao Liao
Haohao Luo
Ying Shen
LRMLLMAG
441
165
0
28 Feb 2024
Integrating Large Language Models with Graphical Session-Based
  Recommendation
Integrating Large Language Models with Graphical Session-Based Recommendation
Naicheng Guo
Hongwei Cheng
Qianqiao Liang
Lin Chen
Bing Han
223
9
0
26 Feb 2024
LLM-Enhanced User-Item Interactions: Leveraging Edge Information for Optimized Recommendations
LLM-Enhanced User-Item Interactions: Leveraging Edge Information for Optimized Recommendations
Xinyuan Wang
Liang Wu
Liangjie Hong
Hao Liu
Yanjie Fu
307
36
0
14 Feb 2024
Improving Sequential Recommendations with LLMs
Improving Sequential Recommendations with LLMs
Artun Boz
Wouter Zorgdrager
Zoe Kotti
Jesse Harte
Panos Louridas
Dietmar Jannach
Vassilios Karakoidas
Marios Fragkoulis
KELMLRM
459
18
0
02 Feb 2024
LLMRS: Unlocking Potentials of LLM-Based Recommender Systems for
  Software Purchase
LLMRS: Unlocking Potentials of LLM-Based Recommender Systems for Software Purchase
Angela John
Theophilus Aidoo
Hamayoon Behmanush
Irem B. Gunduz
Hewan Shrestha
M. R. Rahman
Wolfgang Maass
319
2
0
12 Jan 2024
Unlocking the Potential of Large Language Models for Explainable
  Recommendations
Unlocking the Potential of Large Language Models for Explainable Recommendations
Yucong Luo
Mingyue Cheng
Hao Zhang
Junyu Lu
Qi Liu
Enhong Chen
LRM
161
32
0
25 Dec 2023
DRDT: Dynamic Reflection with Divergent Thinking for LLM-based
  Sequential Recommendation
DRDT: Dynamic Reflection with Divergent Thinking for LLM-based Sequential Recommendation
Yu Wang
Zhiwei Liu
Jianguo Zhang
Weiran Yao
Shelby Heinecke
Philip S. Yu
AI4TSLRM
200
45
0
18 Dec 2023
The Contemporary Art of Image Search: Iterative User Intent Expansion
  via Vision-Language Model
The Contemporary Art of Image Search: Iterative User Intent Expansion via Vision-Language Model
Yilin Ye
Qian Zhu
Shishi Xiao
Kang Zhang
Wei Zeng
290
8
0
04 Dec 2023
Modeling User Viewing Flow Using Large Language Models for Article
  Recommendation
Modeling User Viewing Flow Using Large Language Models for Article RecommendationThe Web Conference (WWW), 2023
Zhenghao Liu
Zulong Chen
Moufeng Zhang
Shaoyang Duan
Hong Wen
Liangyue Li
Nan Li
Yu Gu
Ge Yu
273
13
0
12 Nov 2023
CoLLM: Integrating Collaborative Embeddings into Large Language Models for Recommendation
CoLLM: Integrating Collaborative Embeddings into Large Language Models for RecommendationIEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Yang Zhang
Fuli Feng
Jizhi Zhang
Keqin Bao
Qifan Wang
Xiangnan He
345
162
0
30 Oct 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
376
34
0
28 Oct 2023
Large Language Models as Source Planner for Personalized
  Knowledge-grounded Dialogue
Large Language Models as Source Planner for Personalized Knowledge-grounded DialogueConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Hongru Wang
Minda Hu
Yang Deng
Rui Wang
Fei Mi
Weichao Wang
Yasheng Wang
Wai-Chung Kwan
Irwin King
Kam-Fai Wong
RALM
284
8
0
13 Oct 2023
MetaTool Benchmark for Large Language Models: Deciding Whether to Use
  Tools and Which to Use
MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to UseInternational Conference on Learning Representations (ICLR), 2023
Yue Huang
Jiawen Shi
Yuan Li
Chenrui Fan
Siyuan Wu
...
Yixin Liu
Pan Zhou
Yao Wan
Neil Zhenqiang Gong
Lichao Sun
LLMAG
541
159
0
04 Oct 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
375
43
0
07 Sep 2023
Recommender AI Agent: Integrating Large Language Models for Interactive
  Recommendations
Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations
Xu Huang
Jianxun Lian
Yuxuan Lei
Jing Yao
Defu Lian
Xing Xie
LLMAG
332
176
0
31 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
Dongyuan Li
Shoujin Wang
Chenyu You
Philip S.Yu
ALMLRM
163
56
0
23 Aug 2023
ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential
  Behavior Comprehension in Recommendation
ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in RecommendationThe Web Conference (WWW), 2023
Jianghao Lin
Rongjie Shan
Chenxu Zhu
Kounianhua Du
Bo Chen
Shigang Quan
Ruiming Tang
Yong Yu
Weinan Zhang
LRM
622
143
0
22 Aug 2023
A Large Language Model Enhanced Conversational Recommender System
A Large Language Model Enhanced Conversational Recommender System
Yue Feng
Shuchang Liu
Zhenghai Xue
Qingpeng Cai
Lantao Hu
Peng Jiang
Kun Gai
Fei Sun
LRM
344
67
0
11 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
266
276
0
31 Jul 2023
GeoGPT: Understanding and Processing Geospatial Tasks through An
  Autonomous GPT
GeoGPT: Understanding and Processing Geospatial Tasks through An Autonomous GPT
Yifan Zhang
Cheng Wei
Shangyou Wu
Zhengting He
Wenhao Yu
244
55
0
16 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
681
461
0
05 Jul 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
333
32
0
29 Jun 2023
Recent Developments in Recommender Systems: A Survey
Recent Developments in Recommender Systems: A SurveyIEEE Computational Intelligence Magazine (IEEE CIM), 2023
Yang Li
Kangbo Liu
Frank Xing
Suhang Wang
Erik Cambria
OffRL
273
79
0
22 Jun 2023
Challenges and Remedies to Privacy and Security in AIGC: Exploring the
  Potential of Privacy Computing, Blockchain, and Beyond
Challenges and Remedies to Privacy and Security in AIGC: Exploring the Potential of Privacy Computing, Blockchain, and Beyond
Chuan Chen
Zhenpeng Wu
Yan-Hao Lai
Wen-chao Ou
Tianchi Liao
Zibin Zheng
463
45
0
01 Jun 2023
Aligning Language Models to User Opinions
Aligning Language Models to User OpinionsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
EunJeong Hwang
Bodhisattwa Prasad Majumder
Niket Tandon
373
103
0
24 May 2023
Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large
  Language Model Recommendation
Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model RecommendationACM Conference on Recommender Systems (RecSys), 2023
Jizhi Zhang
Keqin Bao
Yang Zhang
Wenjie Wang
Fuli Feng
Xiangnan He
LRMALM
450
228
0
12 May 2023
When Giant Language Brains Just Aren't Enough! Domain Pizzazz with
  Knowledge Sparkle Dust
When Giant Language Brains Just Aren't Enough! Domain Pizzazz with Knowledge Sparkle Dust
Minh Le Nguyen
Duy-Hung Nguyen
Shahab Sabahi
Hung Le
Jeffrey Yang
Hajime Hotta
268
1
0
12 May 2023
Do LLMs Understand User Preferences? Evaluating LLMs On User Rating
  Prediction
Do LLMs Understand User Preferences? Evaluating LLMs On User Rating Prediction
Wang-Cheng Kang
Jianmo Ni
Nikhil Mehta
M. Sathiamoorthy
Lichan Hong
Ed H. Chi
D. Cheng
220
162
0
10 May 2023
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