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

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Authors

박시연; 김진교

Issue Date
2007
Publisher
한국데이터정보과학회
Citation
한국데이터정보과학회지, 18, 995-1004
Keywords
cross-validation methodKernel regressionmixed-datasmoothing parameter selection
Abstract
In 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.
ISSN
1225-8547
Language
Korean
URI
https://hdl.handle.net/10371/67971
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