{"title":"Frontiers: Can Large Language Models Capture Human Preferences?","authors":"Ali Goli, Amandeep Singh","doi":"10.1287/mksc.2023.0306","DOIUrl":null,"url":null,"abstract":"This paper examines the potential of large language models to mimic human survey respondents and to derive their preferences.","PeriodicalId":48382,"journal":{"name":"Marketing Science","volume":null,"pages":null},"PeriodicalIF":4.0000,"publicationDate":"2024-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Marketing Science","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1287/mksc.2023.0306","RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0
Abstract
This paper examines the potential of large language models to mimic human survey respondents and to derive their preferences.
期刊介绍:
Marketing Science is a publication of the Institute for Operations Research and the Management Sciences (INFORMS) publication (SSCI indexed). We invite authors to submit for peer review their best marketing-oriented research. We accept many types of manuscripts. Please consider us as an author-friendly outlet for your research. We are THE premier journal focusing on empirical and theoretical quantitative research in marketing. Marketing Science promises to provide constructive, fair, and timely reviews with the goal of identifying the best submissions for publication. Topics covered in Marketing Science include the following: -Advertising- Buyer Behavior- Channels- Competitive Strategy- Forecasting- Marketing Research- New Product Development- Pricing and Promotions- Sales Force Management- Segmentation- Services Marketing- Targetability.