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Box Office Forecasting considering Competitive Environment and Word-of-Mouth in Social Networks: A Case Study of Korean Film Market
المؤلفون المشاركون
Kim, Taegu
Hong, Jungsik
Kang, Pilsung
المصدر
Computational Intelligence and Neuroscience
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-16، 16ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-07-27
دولة النشر
مصر
عدد الصفحات
16
التخصصات الرئيسية
الملخص EN
Accurate box office forecasting models are developed by considering competition and word-of-mouth (WOM) effects in addition to screening-related information.
Nationality, genre, ratings, and distributors of motion pictures running concurrently with the target motion picture are used to describe the competition, whereas the numbers of informative, positive, and negative mentions posted on social network services (SNS) are used to gauge the atmosphere spread by WOM.
Among these candidate variables, only significant variables are selected by genetic algorithm (GA), based on which machine learning algorithms are trained to build forecasting models.
The forecasts are combined to improve forecasting performance.
Experimental results on the Korean film market show that the forecasting accuracy in early screening periods can be significantly improved by considering competition.
In addition, WOM has a stronger influence on total box office forecasting.
Considering both competition and WOM improves forecasting performance to a larger extent than when only one of them is considered.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Kim, Taegu& Hong, Jungsik& Kang, Pilsung. 2017. Box Office Forecasting considering Competitive Environment and Word-of-Mouth in Social Networks: A Case Study of Korean Film Market. Computational Intelligence and Neuroscience،Vol. 2017, no. 2017, pp.1-16.
https://search.emarefa.net/detail/BIM-1140954
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Kim, Taegu…[et al.]. Box Office Forecasting considering Competitive Environment and Word-of-Mouth in Social Networks: A Case Study of Korean Film Market. Computational Intelligence and Neuroscience No. 2017 (2017), pp.1-16.
https://search.emarefa.net/detail/BIM-1140954
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Kim, Taegu& Hong, Jungsik& Kang, Pilsung. Box Office Forecasting considering Competitive Environment and Word-of-Mouth in Social Networks: A Case Study of Korean Film Market. Computational Intelligence and Neuroscience. 2017. Vol. 2017, no. 2017, pp.1-16.
https://search.emarefa.net/detail/BIM-1140954
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1140954
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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