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This study investigates the feasibility of developing an Artificial General Recommender (AGR), facilitated by recent advancements in Large Language Models (LLMs).
Towards Conversational Recommender Systems: A Dialogue Grammar Approach.. In ECCBR workshops . Citeseer, 9–22
Derek G Bridge. 2002 · 2002
Earlier work this paper cites.
Contextual recommendation. In From Web to Social Web: Discovering and Deploying User and Content Profiles: Workshop on Web Mining, WebMine 2006, Berlin, Germany, September 18, 2006. Revised Selected and Invited Papers . Springer, 142–160
Sarabjot Singh Anand and Bamshad Mobasher. 2007 · 2006
Earlier work this paper cites.
Towards memory supporting personal information management tools
David Elsweiler, Ian Ruthven, and Christopher Jones. 2007 · 2007
Earlier work this paper cites.
Comparison of implicit and explicit feedback from an online music recommendation service. In proceedings of the 1st international workshop on information heterogeneity and fusion in recommender systems . 47–51
Gawesh Jawaheer, Martin Szomszor, and Patty Kostkova. 2010 · 2010
Earlier work this paper cites.
A personalized tag-based recommendation in social web systems
Frederico Durao and Peter Dolog. 2012 · 2012
Earlier work this paper cites.
Evaluating recommender systems
Asela Gunawardana, Guy Shani, and Sivan Yogev. 2012 · 2012
Earlier work this paper cites.
Evaluating recommender systems from the user’s perspective: survey of the state of the art
Pearl Pu, Li Chen, and Rong Hu. 2012 · 2012
Earlier work this paper cites.
A theoretical framework for conversational search. In Proceedings of the 2017 conference on conference human information interaction and retrieval . 117–126
Filip Radlinski and Nick Craswell. 2017 · 2017
Cited alongside, same era.
Conversational recommender system. In The 41st international acm sigir conference on research & development in information retrieval . 235–244
Yueming Sun and Yi Zhang. 2018 · 2018
Cited alongside, same era.
Towards conversational search and recommendation: System ask, user respond. In Proceedings of the 27th acm international conference on information and knowledge management . 177–186
Yongfeng Zhang, Xu Chen, Qingyao Ai, Liu Yang, and W Bruce Croft. 2018 · 2018
Cited alongside, same era.
An E-Commerce Recommendation System Based on Dynamic Analysis of Customer Behavior
Farah Tawfiq Abdul Hussien, Abdul Monem S Rahma, and Hala B Abdulwahab. 2021 · 2021
Cited alongside, same era.
Advances and challenges in conversational recommender systems: A survey
Finetuned language models are zero-shot learners
Jason Wei, Maarten Bosma, Vincent Y Zhao, Kelvin Guu, Adams Wei Yu, Brian Lester, Nan Du, Andrew M Dai, and Quoc V Le. 2021 · 2021
Later among the works it cites.
Recommendation as language processing (rlp): A unified pretrain, personalized prompt & predict paradigm (p5). In Proceedings of the 16th ACM Conference on Recommender Systems . 299–315
Shijie Geng, Shuchang Liu, Zuohui Fu, Yingqiang Ge, and Yongfeng Zhang. 2022 · 2022
Later among the works it cites.
Lamda: Language models for dialog applications
Romal Thoppilan, Daniel De Freitas, Jamie Hall, Noam Shazeer, Apoorv Kulshreshtha, Heng-Tze Cheng, Alicia Jin, Taylor Bos, Leslie Baker, Yu Du, et al · 2022
Later among the works it cites.
Sparks of artificial general intelligence: Early experiments with gpt-4
Sébastien Bubeck, Varun Chandrasekaran, Ronen Eldan, Johannes Gehrke, Eric Horvitz, Ece Kamar, Peter Lee, Yin Tat Lee, Yuanzhi Li, Scott Lundberg, et al · 2023
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Chongming Gao, Wenqiang Lei, Xiangnan He, Maarten de Rijke, and Tat-Seng Chua. 2021 · 2021
Cited alongside, same era.
A survey on conversational recommender systems
Dietmar Jannach, Ahtsham Manzoor, Wanling Cai, and Li Chen. 2021 · 2021
Cited alongside, same era.
Inconsistency
Brad Dowden. n.d.
Cited in the paper.
OpenAI. 2023 · 2023
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A Survey of Large Language Models
Wayne Xin Zhao, Kun Zhou, Junyi Li, Tianyi Tang, Xiaolei Wang, Yupeng Hou, Yingqian Min, Beichen Zhang, Junjie Zhang, Zican Dong, et al · 2023
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