Predicting movie success with machine learning techniques: ways to improve accuracy

Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/18300

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DC Field	Value	Language
dc.contributor.author	Lee, K	-
dc.contributor.author	Park, J	-
dc.contributor.author	Kim, I	-
dc.contributor.author	Choi, Y	-
dc.date.accessioned	2019-06-04T13:55:01Z	-
dc.date.available	2018-06-01	-
dc.date.available	2019-06-04T13:55:01Z	-
dc.date.issued	2016-08-19	-
dc.identifier.citation	Lee, K., Park, J., Kim, I. and Choi, Y. (2018) 'Predicting movie success with machine learning techniques: ways to improve accuracy', Information Systems Frontiers, 20 (3), pp. 577 - 588. doi: 10.1007/s10796-016-9689-z.	en_US
dc.identifier.issn	1387-3326	-
dc.identifier.uri	https://bura.brunel.ac.uk/handle/2438/18300	-
dc.description.sponsorship	This study was supported by research grants from the Institute of Management Research at the Seoul National University.	en_US
dc.format.extent	577 - 588	-
dc.format.medium	Print-Electronic	-
dc.language.iso	en	en_US
dc.subject	prediction model	en_US
dc.subject	movie performance	en_US
dc.subject	machine learning techniques	en_US
dc.subject	cinema ensemble model	en_US
dc.subject	transmedia storytelling	en_US
dc.subject	feature selection	en_US
dc.title	Predicting movie success with machine learning techniques: ways to improve accuracy	en_US
dc.type	Article	en_US
dc.identifier.doi	https://doi.org/10.1007/s10796-016-9689-z	-
dc.relation.isPartOf	Information Systems Frontiers	-
pubs.issue	3	-
pubs.publication-status	Published	-
pubs.volume	20	-
dc.identifier.eissn	1572-9419	-
Appears in Collections:	Brunel Business School Research Papers

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