Box Office Forecasting considering Competitive Environment and Word-of-Mouth in Social Networks: A Case Study of Korean Film Market
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Taegu | - |
dc.contributor.author | Hong, Jungsik | - |
dc.contributor.author | Kang, Pilsung | - |
dc.date.accessioned | 2021-12-21T19:40:35Z | - |
dc.date.available | 2021-12-21T19:40:35Z | - |
dc.date.created | 2021-08-30 | - |
dc.date.issued | 2017 | - |
dc.identifier.issn | 1687-5265 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/132441 | - |
dc.description.abstract | 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. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | HINDAWI LTD | - |
dc.subject | GENETIC ALGORITHM | - |
dc.subject | VARIABLE SELECTION | - |
dc.subject | LINEAR-REGRESSION | - |
dc.subject | SUPPLY DYNAMICS | - |
dc.subject | MOTION | - |
dc.subject | REVIEWS | - |
dc.subject | MOVIES | - |
dc.subject | HOLLYWOOD | - |
dc.subject | CRITICS | - |
dc.subject | OPTIMIZATION | - |
dc.title | Box Office Forecasting considering Competitive Environment and Word-of-Mouth in Social Networks: A Case Study of Korean Film Market | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kang, Pilsung | - |
dc.identifier.doi | 10.1155/2017/4315419 | - |
dc.identifier.scopusid | 2-s2.0-85027249965 | - |
dc.identifier.wosid | 000407233800001 | - |
dc.identifier.bibliographicCitation | COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, v.2017 | - |
dc.relation.isPartOf | COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE | - |
dc.citation.title | COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE | - |
dc.citation.volume | 2017 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Mathematical & Computational Biology | - |
dc.relation.journalResearchArea | Neurosciences & Neurology | - |
dc.relation.journalWebOfScienceCategory | Mathematical & Computational Biology | - |
dc.relation.journalWebOfScienceCategory | Neurosciences | - |
dc.subject.keywordPlus | GENETIC ALGORITHM | - |
dc.subject.keywordPlus | VARIABLE SELECTION | - |
dc.subject.keywordPlus | LINEAR-REGRESSION | - |
dc.subject.keywordPlus | SUPPLY DYNAMICS | - |
dc.subject.keywordPlus | MOTION | - |
dc.subject.keywordPlus | REVIEWS | - |
dc.subject.keywordPlus | MOVIES | - |
dc.subject.keywordPlus | HOLLYWOOD | - |
dc.subject.keywordPlus | CRITICS | - |
dc.subject.keywordPlus | OPTIMIZATION | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(02841) 서울특별시 성북구 안암로 14502-3290-1114
COPYRIGHT © 2021 Korea University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.