Learning context-dependent preferences from raw data

A. Peysakhovich, J. Ugander
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引用次数: 3

Abstract

A large body of existing work in social science as well as computer science attempts to infer preferences of individuals from the actions they take. This includes research areas such as industrial organization [4], marketing [1], political science [12], analysis of auctions [3], recommender systems [8], search engine ranking [9], and many others. The workhorse model used either implicitly or explicitly in these disparate literatures is the rational choice model.
从原始数据中学习上下文相关的偏好
社会科学和计算机科学领域的大量现有工作都试图从个人的行为中推断出他们的偏好。这包括研究领域,如产业组织[4],市场营销[1],政治学[12],拍卖分析[3],推荐系统[8],搜索引擎排名[9]等等。在这些不同的文献中,隐含或明确使用的主力模型是理性选择模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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