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Modeling Online Word-of-Mouth Effect on Korean Box-Office Sales Based on Kernel Regression Model

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dc.contributor.author박시연-
dc.contributor.author김진교-
dc.date.accessioned2010-06-28T23:58:59Z-
dc.date.available2010-06-28T23:58:59Z-
dc.date.issued2007-
dc.identifier.citation한국데이터정보과학회지, 18, 995-1004en
dc.identifier.issn1225-8547-
dc.identifier.urihttps://hdl.handle.net/10371/67971-
dc.description.abstractIn this paper, we analyse online word-of mouth and Korean box-office sales data based on kernel regression method. To do this, we consider the regression model with mixed-data and apply the least square cross-validation method proposed by Li and Racine (2004) to the model. We found the box-office sales can be explained by volume of online word-of-mouth and the characteristics of the movies.en
dc.language.isokoen
dc.publisher한국데이터정보과학회en
dc.subjectcross-validation methoden
dc.subjectKernel regressionen
dc.subjectmixed-dataen
dc.subjectsmoothing parameter selectionen
dc.titleModeling Online Word-of-Mouth Effect on Korean Box-Office Sales Based on Kernel Regression Modelen
dc.typeArticleen
dc.contributor.AlternativeAuthorPark, Siyun-
dc.contributor.AlternativeAuthorKim, Jin Gyo-
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