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MSCRS: Multi-modal Semantic Graph Prompt Learning Framework for Conversational Recommender Systems
v1v2 (latest)

MSCRS: Multi-modal Semantic Graph Prompt Learning Framework for Conversational Recommender Systems

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025
15 April 2025
Yibiao Wei
Jie Zou
Weikang Guo
Guoqing Wang
Xing Xu
Yang Yang
ArXiv (abs)PDFHTMLGithub (10★)

Papers citing "MSCRS: Multi-modal Semantic Graph Prompt Learning Framework for Conversational Recommender Systems"

31 / 31 papers shown
LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems
LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems
Jinzhi Wang
Bin Li
Qingke Peng
Haozhou Li
Zeyuan Zeng
Ruimeng Li
Kaixuan Yang
Jiangbo Zhang
Biyi Zhou
Yaoying Wang
218
0
0
07 Jul 2025
Beyond Whole Dialogue Modeling: Contextual Disentanglement for Conversational Recommendation
Beyond Whole Dialogue Modeling: Contextual Disentanglement for Conversational RecommendationAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025
Guojia An
Jie Zou
Jiwei Wei
Chaoning Zhang
Fuming Sun
Yang Yang
928
6
0
24 Apr 2025
Multi-Type Context-Aware Conversational Recommender Systems via Mixture-of-Experts
Multi-Type Context-Aware Conversational Recommender Systems via Mixture-of-ExpertsInformation Fusion (Inf. Fusion), 2025
Jie Zou
Cheng Lin
Weikang Guo
Zheng Wang
Jiwei Wei
Yang Yang
Hengtao Shen
HAI
284
3
0
18 Apr 2025
Knowledge-Enhanced Conversational Recommendation via Transformer-based
  Sequential Modelling
Knowledge-Enhanced Conversational Recommendation via Transformer-based Sequential Modelling
Jie Zou
Aixin Sun
Cheng Long
Evangelos Kanoulas
LMTD
503
11
0
03 Dec 2024
Towards a Unified Conversational Recommendation System: Multi-task
  Learning via Contextualized Knowledge Distillation
Towards a Unified Conversational Recommendation System: Multi-task Learning via Contextualized Knowledge DistillationConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Yeongseo Jung
Eunseo Jung
Lei Chen
277
9
0
27 Oct 2023
TREA: Tree-Structure Reasoning Schema for Conversational Recommendation
TREA: Tree-Structure Reasoning Schema for Conversational RecommendationAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Wendi Li
Wei Wei
Xiaoye Qu
Xian-Ling Mao
Ye Yuan
Wenfeng Xie
Dangyang Chen
278
33
0
20 Jul 2023
Variational Reasoning over Incomplete Knowledge Graphs for
  Conversational Recommendation
Variational Reasoning over Incomplete Knowledge Graphs for Conversational RecommendationWeb Search and Data Mining (WSDM), 2022
Xiaoyu Zhang
Xin Xin
Dongdong Li
Wenxuan Liu
Sudipta Singha Roy
Zhumin Chen
Jun Ma
Zhaochun Ren
377
52
0
22 Dec 2022
COLA: Improving Conversational Recommender Systems by Collaborative
  Augmentation
COLA: Improving Conversational Recommender Systems by Collaborative AugmentationAAAI Conference on Artificial Intelligence (AAAI), 2022
Dongding Lin
Jian Wang
Wenjie Li
189
26
0
15 Dec 2022
User-Centric Conversational Recommendation with Multi-Aspect User
  Modeling
User-Centric Conversational Recommendation with Multi-Aspect User ModelingAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022
Shuokai Li
Ruobing Xie
Yongchun Zhu
Xiang Ao
Fuzhen Zhuang
Qing He
295
68
0
20 Apr 2022
Improving Conversational Recommendation Systems' Quality with
  Context-Aware Item Meta Information
Improving Conversational Recommendation Systems' Quality with Context-Aware Item Meta Information
Bowen Yang
Cong Han
Yu Li
Lei Zuo
Zhou Yu
244
61
0
15 Dec 2021
RevCore: Review-augmented Conversational Recommendation
RevCore: Review-augmented Conversational RecommendationFindings (Findings), 2021
Yu Lu
Junwei Bao
Yan Song
Zichen Ma
Shuguang Cui
Youzheng Wu
Xiaodong He
272
102
0
02 Jun 2021
Mining Latent Structures for Multimedia Recommendation
Mining Latent Structures for Multimedia RecommendationACM Multimedia (ACM MM), 2021
Jinghao Zhang
Yanqiao Zhu
Qiang Liu
Shu Wu
Shuhui Wang
Liang Wang
BDL
370
351
0
19 Apr 2021
Prefix-Tuning: Optimizing Continuous Prompts for Generation
Prefix-Tuning: Optimizing Continuous Prompts for GenerationAnnual Meeting of the Association for Computational Linguistics (ACL), 2021
Xiang Lisa Li
Abigail Z. Jacobs
799
5,526
0
01 Jan 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
1.6K
58,863
0
22 Oct 2020
CR-Walker: Tree-Structured Graph Reasoning and Dialog Acts for
  Conversational Recommendation
CR-Walker: Tree-Structured Graph Reasoning and Dialog Acts for Conversational RecommendationConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Wenchang Ma
Ryuichi Takanobu
Shiyu Huang
432
67
0
20 Oct 2020
INSPIRED: Toward Sociable Recommendation Dialog Systems
INSPIRED: Toward Sociable Recommendation Dialog Systems
Shirley Anugrah Hayati
Luan Tuyen Chau
Qingxiaoyang Zhu
Weiyan Shi
Zhou Yu
397
186
0
29 Sep 2020
Improving Conversational Recommender Systems via Knowledge Graph based
  Semantic Fusion
Improving Conversational Recommender Systems via Knowledge Graph based Semantic FusionKnowledge Discovery and Data Mining (KDD), 2020
Kun Zhou
Wayne Xin Zhao
Shuqing Bian
Yuanhang Zhou
Ji-Rong Wen
Jingsong Yu
274
371
0
08 Jul 2020
Seamlessly Unifying Attributes and Items: Conversational Recommendation
  for Cold-Start Users
Seamlessly Unifying Attributes and Items: Conversational Recommendation for Cold-Start Users
Shijun Li
Wenqiang Lei
Qingyun Wu
Xiangnan He
Peng Jiang
Tat-Seng Chua
598
134
0
23 May 2020
LightGCN: Simplifying and Powering Graph Convolution Network for
  Recommendation
LightGCN: Simplifying and Powering Graph Convolution Network for RecommendationAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2020
Xiangnan He
Kuan Deng
Xiang Wang
Yan Li
Yongdong Zhang
Meng Wang
GNN
855
4,890
0
06 Feb 2020
DialoGPT: Large-Scale Generative Pre-training for Conversational
  Response Generation
DialoGPT: Large-Scale Generative Pre-training for Conversational Response GenerationAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Yizhe Zhang
Siqi Sun
Michel Galley
Yen-Chun Chen
Chris Brockett
Xiang Gao
Jianfeng Gao
Jingjing Liu
W. Dolan
VLM
857
1,682
0
01 Nov 2019
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language
  Generation, Translation, and Comprehension
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and ComprehensionAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
M. Lewis
Yinhan Liu
Naman Goyal
Marjan Ghazvininejad
Abdel-rahman Mohamed
Omer Levy
Veselin Stoyanov
Luke Zettlemoyer
AIMatVLM
994
12,412
0
29 Oct 2019
Towards Knowledge-Based Recommender Dialog System
Towards Knowledge-Based Recommender Dialog SystemConference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Qibin Chen
Junyang Lin
Yichang Zhang
Ming Ding
Yukuo Cen
Hongxia Yang
Jie Tang
316
288
0
15 Aug 2019
Neural Response Generation with Meta-Words
Neural Response Generation with Meta-WordsAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Can Xu
Wei Wu
Chongyang Tao
Huang Hu
Matthew Schuerman
Ying Wang
387
38
0
14 Jun 2019
Towards Deep Conversational Recommendations
Towards Deep Conversational Recommendations
Raymond Li
Samira Ebrahimi Kahou
Hannes Schulz
Vincent Michalski
Laurent Charlin
C. Pal
335
447
0
18 Dec 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLMSSLSSeg
3.1K
111,519
0
11 Oct 2018
Ranking Distillation: Learning Compact Ranking Models With High
  Performance for Recommender System
Ranking Distillation: Learning Compact Ranking Models With High Performance for Recommender System
Jiaxi Tang
Ke Wang
264
212
0
19 Sep 2018
Modeling Relational Data with Graph Convolutional Networks
Modeling Relational Data with Graph Convolutional Networks
Michael Schlichtkrull
Thomas Kipf
Peter Bloem
Rianne van den Berg
Ivan Titov
Max Welling
GNN
756
5,766
0
17 Mar 2017
ConceptNet 5.5: An Open Multilingual Graph of General Knowledge
ConceptNet 5.5: An Open Multilingual Graph of General Knowledge
R. Speer
Joshua Chin
Catherine Havasi
1.2K
3,215
0
12 Dec 2016
VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback
VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback
Ruining He
Julian McAuley
BDL
325
1,115
0
06 Oct 2015
Building End-To-End Dialogue Systems Using Generative Hierarchical
  Neural Network Models
Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network ModelsAAAI Conference on Artificial Intelligence (AAAI), 2015
Iulian Serban
Alessandro Sordoni
Yoshua Bengio
Aaron Courville
Joelle Pineau
AILaw
439
1,799
0
17 Jul 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic OptimizationInternational Conference on Learning Representations (ICLR), 2014
Diederik P. Kingma
Jimmy Ba
ODL
4.9K
163,794
0
22 Dec 2014
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