你为什么喜欢你喜欢的东西?先前Netflix用户评分对后续用户体验的影响

Anthony Hyatt, Daniel K. N. Johnson
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引用次数: 1

摘要

本文研究Netflix的用户评分是否可以用电影的特点和大众舆论的影响相结合来解释。使用300部电影的近800万用户评分的数据集,我们使用2SLS框架来发现时间、电影特征和商业成功的度量是观众评分的统计上显著的解释变量。大众的意见也有相当大的影响力,结果表明,Netflix上的电影确实像一瓶好酒一样老了。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Why Do You Like What You Like? The Impact of Previous Netflix User Ratings on Subsequent User Experience
This paper examines whether Netflix user ratings can be explained by a combination of the movies’ characteristics and the influence of popular opinion. Using a data set of almost 8 million user ratings for 300 movies, we use a 2SLS framework to find that time, movie characteristics, and measures of commercial success are statistically significant explanatory variables of viewer ratings. Popular opinion carries a sizeable amount of sway as well, and the results indicate that movies on Netflix do in fact age like a fine bottle of wine.
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