Improving Conversational Recommendation Systems via Counterfactual Data
Simulation

Improving Conversational Recommendation Systems via Counterfactual Data Simulation

5 June 2023

Papers citing "Improving Conversational Recommendation Systems via Counterfactual Data Simulation"

9 / 9 papers shown

Title
MATCHA: Can Multi-Agent Collaboration Build a Trustworthy Conversational Recommender? Zheng Hui Xiaokai Wei Yexi Jiang Kevin Gao Chen Wang Frank Ong Se-eun Yoon Rachit Pareek Michelle Gong LLMAG 59 0 0 26 Apr 2025
Beyond Whole Dialogue Modeling: Contextual Disentanglement for Conversational Recommendation Guojia An Jie Zou Jiwei Wei Chaoning Zhang Fuming Sun Yang Yang 88 1 0 24 Apr 2025
Vague Preference Policy Learning for Conversational Recommendation Gangyi Zhang Chongming Gao Wenqiang Lei Xiaojie Guo Shijun Li Hongshen Chen Zhuozhi Ding Sulong Xu Lingfei Wu 68 1 0 24 Feb 2025
Beyond Persuasion: Towards Conversational Recommender System with Credible Explanations Peixin Qin Chen Huang Yang Deng Wenqiang Lei Tat-Seng Chua LRM 25 3 0 22 Sep 2024
DIET: Customized Slimming for Incompatible Networks in Sequential Recommendation Kairui Fu Shengyu Zhang Zheqi Lv Jingyuan Chen Jiwei Li 26 2 0 13 Jun 2024
Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models Xiaolei Wang Xinyu Tang Wayne Xin Zhao Jingyuan Wang Ji-Rong Wen ALM 23 47 0 22 May 2023
Bias Challenges in Counterfactual Data Augmentation S Chandra Mouli Yangze Zhou Bruno Ribeiro CML OOD OODD 37 4 0 12 Sep 2022
Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer Zhiwei Liu Ziwei Fan Yu Wang Philip S. Yu 109 145 0 02 May 2021
Advances and Challenges in Conversational Recommender Systems: A Survey Chongming Gao Wenqiang Lei Xiangnan He Maarten de Rijke Tat-Seng Chua 128 271 0 23 Jan 2021