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計量與數量經濟學研討會

題 目：Learning to Rank Under Evolving Consumer Reviews

主講人：趙倞同 哥倫比亞大學博士生

時 間：2020年11月04日下午14:15-15:30

地 點：明德主樓734

摘 要：

In many electronic platforms, consumers leave reviews about their experiences. The body of reviews grows over time, providing a valuable source of information. Subsequent consumers as well as the platforms can make use of the information to learn about the quality of the products. The platforms, in particular, can use the information to better rank products, in order to meet consumer needs or to improve sales. We study how a platform can learn from consumer choices when they are presented with different product rankings, as well as from the reviews that they leave. Over time, the platform forms increasingly accurate estimates about product quality and consumer preferences. We provide an algorithm to simultaneously learn and provide personalized product rankings to consumers in order to maximize a cumulative expected reward. We use the notion of regret to quantify our algorithm’s performance.

主講人簡介： 趙倞同,哥倫比亞大學富的基金工程與應用科學學院運籌學和數據科學方向博士生。她的主要研究興趣為具有豐富信息的動態環境下決策問題的優化方法，具體方向包括考慮消費者行為的服務系統，數據驅動的供應鏈管理，以及醫療運營和入院控制管理。目前, 她已經在國外知名學術期刊上發表論文3篇，并有多篇論文在國際頂級期刊的評審中。

中國人民大學經濟學院

計量與數量經濟學系

2020年10月30日