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Synthetic users are cost-effective proxies for real users in the evaluation of conversational recommender systems.
Efficient estimation of word representations in vector space
Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013 · 2013
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The movielens datasets: History and context
F Maxwell Harper and Joseph A Konstan. 2015 · 2015
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Towards conversational recommender systems
Konstantina Christakopoulou, Filip Radlinski, and Katja Hofmann. 2016 · 2016
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Dialog-based interactive image retrieval
Xiaoxiao Guo, Hui Wu, Yu Cheng, Steven Rennie, Gerald Tesauro, and Rogerio Feris. 2018 · 2018
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Towards deep conversational recommendations
Raymond Li, Samira Ebrahimi Kahou, Hannes Schulz, Vincent Michalski, Laurent Charlin, and Chris Pal. 2018 · 2018
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Conversational recommender system
Yueming Sun and Yi Zhang. 2018 · 2018
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Opendialkg: Explainable conversational reasoning with attention-based walks over knowledge graphs
Seungwhan Moon, Pararth Shah, Anuj Kumar, and Rajen Subba. 2019 · 2019
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Sentence-bert: Sentence embeddings using siamese bert-networks
Nils Reimers and Iryna Gurevych. 2019 · 2019
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Algorithmic effects on the diversity of consumption on spotify
Ashton Anderson, Lucas Maystre, Ian Anderson, Rishabh Mehrotra, and Mounia Lalmas. 2020 · 2020
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Evaluating conversational recommender systems via user simulation
Shuo Zhang and Krisztian Balog. 2020 · 2020
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Advances and challenges in conversational recommender systems: A survey
Chongming Gao, Wenqiang Lei, Xiangnan He, Maarten de Rijke, and Tat-Seng Chua. 2021 · 2021
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About openai
OpenAI. 2021 · 2021
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Analyzing and simulating user utterance reformulation in conversational recommender systems
Shuo Zhang, Mu-Chun Wang, and Krisztian Balog. 2022 · 2022
Cited alongside, same era.
Using large language models to simulate multiple humans and replicate human subject studies
Gati V Aher, Rosa I Arriaga, and Adam Tauman Kalai. 2023 · 2023
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Out of one, many: Using language models to simulate human samples
Lisa P Argyle, Ethan C Busby, Nancy Fulda, Joshua R Gubler, Christopher Rytting, and David Wingate. 2023 · 2023
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Palr: Personalization aware llms for recommendation
Zheng Chen. 2023 · 2023
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Recommender systems in the era of large language models (llms)
Gpt4rec: A generative framework for personalized recommendation and user interests interpretation
Jinming Li, Wentao Zhang, Tian Wang, Guanglei Xiong, Alan Lu, and Gerard Medioni. 2023 · 2023
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Evaluating cognitive maps and planning in large language models with cogeval
Ida Momennejad, Hosein Hasanbeig, Felipe Vieira, Hiteshi Sharma, Robert Osazuwa Ness, Nebojsa Jojic, Hamid Palangi, and Jonathan Larson. 2023 · 2023
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Exploiting simulated user feedback for conversational search: Ranking, rewriting, and beyond
Paul Owoicho, Ivan Sekulic, Mohammad Aliannejadi, Jeffrey Dalton, and Fabio Crestani. 2023 · 2023
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A preliminary evaluation of chatgpt for zero-shot dialogue understanding
Wenbo Pan, Qiguang Chen, Xiao Xu, Wanxiang Che, and Libo Qin. 2023 · 2023
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Wenqi Fan, Zihuai Zhao, Jiatong Li, Yunqing Liu, Xiaowei Mei, Yiqi Wang, Jiliang Tang, and Qing Li. 2023 · 2023
Cited alongside, same era.
S3: Social-network simulation system with large language model-empowered agents
Chen Gao, Xiaochong Lan, Zhihong Lu, Jinzhu Mao, Jinghua Piao, Huandong Wang, Depeng Jin, and Yong Li. 2023 · 2023
Cited alongside, same era.
Evaluating large language models in generating synthetic hci research data: a case study
Perttu Hämäläinen, Mikke Tavast, and Anton Kunnari. 2023 · 2023
Cited alongside, same era.
Large language models as zero-shot conversational recommenders
Zhankui He, Zhouhang Xie, Rahul Jha, Harald Steck, Dawen Liang, Yesu Feng, Bodhisattwa Prasad Majumder, Nathan Kallus, and Julian McAuley. 2023 · 2023
Cited alongside, same era.
Large language models are zero-shot rankers for recommender systems
Yupeng Hou, Junjie Zhang, Zihan Lin, Hongyu Lu, Ruobing Xie, Julian McAuley, and Wayne Xin Zhao. 2023 · 2023
Cited alongside, same era.
Do llms understand user preferences? evaluating llms on user rating prediction
Wang-Cheng Kang, Jianmo Ni, Nikhil Mehta, Maheswaran Sathiamoorthy, Lichan Hong, Ed Chi, and Derek Zhiyuan Cheng. 2023 · 2023
Cited alongside, same era.
Estimation-action-reflection: Towards deep interaction between conversational and recommender systems
Wenqiang Lei, Xiangnan He, Yisong Miao, Qingyun Wu, Richang Hong, Min-Yen Kan, and Tat-Seng Chua. 2020a
Cited in the paper.
Joon Sung Park, Joseph C O’Brien, Carrie J Cai, Meredith Ringel Morris, Percy Liang, and Michael S Bernstein. 2023 · 2023
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Communicative agents for software development
Chen Qian, Xin Cong, Cheng Yang, Weize Chen, Yusheng Su, Juyuan Xu, Zhiyuan Liu, and Maosong Sun. 2023 · 2023
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Whose opinions do language models reflect?
Shibani Santurkar, Esin Durmus, Faisal Ladhak, Cinoo Lee, Percy Liang, and Tatsunori Hashimoto. 2023 · 2023
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User-regulation deconfounded conversational recommender system with bandit feedback
Yu Xia, Junda Wu, Tong Yu, Sungchul Kim, Ryan A Rossi, and Shuai Li. 2023 · 2023
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Pyabsa: A modularized framework for reproducible aspect-based sentiment analysis
Heng Yang, Chen Zhang, and Ke Li. 2023 · 2023
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Agentcf: Collaborative learning with autonomous language agents for recommender systems
Junjie Zhang, Yupeng Hou, Ruobing Xie, Wenqi Sun, Julian McAuley, Wayne Xin Zhao, Leyu Lin, and Ji-Rong Wen. 2023 · 2023
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Is chatgpt equipped with emotional dialogue capabilities?
Weixiang Zhao, Yanyan Zhao, Xin Lu, Shilong Wang, Yanpeng Tong, and Bing Qin. 2023 · 2023
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