{"title":"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","authors":"Anthony Hyatt, Daniel K. N. Johnson","doi":"10.2139/ssrn.2807475","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":326023,"journal":{"name":"MKTG: Sociological Analyses of Consumer Behavior (interpretive or quantitative) (Topic)","volume":"437 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Why Do You Like What You Like? The Impact of Previous Netflix User Ratings on Subsequent User Experience\",\"authors\":\"Anthony Hyatt, Daniel K. N. Johnson\",\"doi\":\"10.2139/ssrn.2807475\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":326023,\"journal\":{\"name\":\"MKTG: Sociological Analyses of Consumer Behavior (interpretive or quantitative) (Topic)\",\"volume\":\"437 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-07-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"MKTG: Sociological Analyses of Consumer Behavior (interpretive or quantitative) (Topic)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.2807475\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"MKTG: Sociological Analyses of Consumer Behavior (interpretive or quantitative) (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.2807475","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.