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ChatGPT for Conversational Recommendation: Refining Recommendations by
  Reprompting with Feedback

ChatGPT for Conversational Recommendation: Refining Recommendations by Reprompting with Feedback

7 January 2024
K. Spurlock
Cagla Acun
Esin Saka
Olfa Nasraoui
ArXiv (abs)PDFHTML

Papers citing "ChatGPT for Conversational Recommendation: Refining Recommendations by Reprompting with Feedback"

4 / 4 papers shown
Title
Tapping the Potential of Large Language Models as Recommender Systems: A Comprehensive Framework and Empirical Analysis
Tapping the Potential of Large Language Models as Recommender Systems: A Comprehensive Framework and Empirical Analysis
Lanling Xu
Junjie Zhang
Bingqian Li
Jinpeng Wang
Sheng Chen
Wayne Xin Zhao
Ji-Rong Wen
160
17
0
17 Jan 2025
Large Language Models are Competitive Near Cold-start Recommenders for
  Language- and Item-based Preferences
Large Language Models are Competitive Near Cold-start Recommenders for Language- and Item-based Preferences
Scott Sanner
K. Balog
Filip Radlinski
Benjamin D. Wedin
Lucas Dixon
82
101
0
26 Jul 2023
Complexity-Based Prompting for Multi-Step Reasoning
Complexity-Based Prompting for Multi-Step Reasoning
Yao Fu
Hao-Chun Peng
Ashish Sabharwal
Peter Clark
Tushar Khot
ReLMLRM
232
444
0
03 Oct 2022
BERT4Rec: Sequential Recommendation with Bidirectional Encoder
  Representations from Transformer
BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer
Fei Sun
Jun Liu
Jian Wu
Changhua Pei
Xiao Lin
Wenwu Ou
Peng Jiang
BDLHAI
186
2,177
0
14 Apr 2019
1