{"title":"基于层次分析法的电影票房预测模型研究","authors":"W. Lu","doi":"10.1145/3357292.3357322","DOIUrl":null,"url":null,"abstract":"Based on the Chinese film market, the author analyzes movie box office factors from deferent ways combining with the big data of social media and search index, and use expert survey and Delphi Method to establish the predict indicators system and movie offce box including actors, director, screenwriter, Investment, type, awards, publicity, reputation, publisher, schedule and distribution Mode. And then use AHP method to establish the movie box office prediction model, in combination with the actual data of the film market (from 2012 through 2016 in China) along with the empirical analysis and verification to provide valuable investment reference for film's risk control and movie investment decisions.","PeriodicalId":115864,"journal":{"name":"Proceedings of the 2nd International Conference on Information Management and Management Sciences","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Research on Movie Box Office Prediction Model with AHP Method\",\"authors\":\"W. Lu\",\"doi\":\"10.1145/3357292.3357322\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Based on the Chinese film market, the author analyzes movie box office factors from deferent ways combining with the big data of social media and search index, and use expert survey and Delphi Method to establish the predict indicators system and movie offce box including actors, director, screenwriter, Investment, type, awards, publicity, reputation, publisher, schedule and distribution Mode. And then use AHP method to establish the movie box office prediction model, in combination with the actual data of the film market (from 2012 through 2016 in China) along with the empirical analysis and verification to provide valuable investment reference for film's risk control and movie investment decisions.\",\"PeriodicalId\":115864,\"journal\":{\"name\":\"Proceedings of the 2nd International Conference on Information Management and Management Sciences\",\"volume\":\"43 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-08-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2nd International Conference on Information Management and Management Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3357292.3357322\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2nd International Conference on Information Management and Management Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3357292.3357322","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on Movie Box Office Prediction Model with AHP Method
Based on the Chinese film market, the author analyzes movie box office factors from deferent ways combining with the big data of social media and search index, and use expert survey and Delphi Method to establish the predict indicators system and movie offce box including actors, director, screenwriter, Investment, type, awards, publicity, reputation, publisher, schedule and distribution Mode. And then use AHP method to establish the movie box office prediction model, in combination with the actual data of the film market (from 2012 through 2016 in China) along with the empirical analysis and verification to provide valuable investment reference for film's risk control and movie investment decisions.