Retrieval-Augmented Conversational Recommendation with Prompt-based Semi-Structured Natural Language State Tracking

Author:

Kemper Sara1ORCID,Cui Justin2ORCID,Dicarlantonio Kai2ORCID,Lin Kathy2ORCID,Tang Danjie2ORCID,Korikov Anton2ORCID,Sanner Scott2ORCID

Affiliation:

1. University of Waterloo, Waterloo, Ontario, Canada

2. University of Toronto, Toronto, Ontario, Canada

Publisher

ACM

Reference28 articles.

1. Mohammad Mahdi Abdollah Pour, Parsa Farinneya, Armin Toroghi, Anton Korikov, Ali Pesaranghader, Touqir Sajed, Manasa Bharadwaj, Borislav Mavrin, and Scott Sanner. 2023. Self-supervised Contrastive BERT Fine-tuning for Fusion-Based Reviewed-Item Retrieval. In European Conference on Information Retrieval. Springer, 3--17.

2. David Eric Austin, Anton Korikov, Armin Toroghi, and Scott Sanner. 2024. Bayesian Optimization with LLM-Based Acquisition Functions for Natural Language Preference Elicitation. arXiv preprint arXiv:xxxx.xxxxx (2024).

3. Dan Bohus and Alexander Rudnicky. 2003. Ravenclaw: Dialog management using hierarchical task decomposition and an expectation agenda. (2003).

4. Dan Bohus and Alexander Rudnicky. 2006. A ?k hypotheses other" belief updating model. (2006).

5. Sébastien Bubeck, Varun Chandrasekaran, Ronen Eldan, Johannes Gehrke, Eric Horvitz, Ece Kamar, Peter Lee, Yin Tat Lee, Yuanzhi Li, Scott Lundberg, Harsha Nori, Hamid Palangi, Marco Tulio Ribeiro, and Yi Zhang. 2023. Sparks of Artificial General Intelligence: Early experiments with GPT-4. arxiv: 2303.12712 [cs.CL]

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1. A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys);Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

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