Movie forecast Guru: A Web-based DSS for Hollywood managers

Dursun Delen; Ramesh Sharda; Prajeeb Kumar

doi:10.1016/j.dss.2005.07.005

Movie forecast Guru: A Web-based DSS for Hollywood managers

Dursun Delen, Ramesh Sharda, Prajeeb Kumar

Research output: Contribution to journal › Article › peer-review

78 Scopus citations

Abstract

Herein we describe a Web-based DSS to help Hollywood managers make better decisions on important movie characteristics, such as, genre, super stars, technical effects, release time, etc. These parameters are used to build prediction models to classify a movie in one of nine success categories, from a "flop" to a "blockbuster". The system employs a number of traditional and non-traditional prediction models as distributed independent experts, implemented as Web services. The paper describes the purpose and the architecture of the system, the development environment, the user assessment results, and the lessons learned as they relate to Web-based DSS development.

Original language	English
Pages (from-to)	1151-1170
Number of pages	20
Journal	Decision Support Systems
Volume	43
Issue number	4
DOIs	https://doi.org/10.1016/j.dss.2005.07.005
State	Published - 1 Aug 2007
Externally published	Yes

Keywords

Box-office receipts
Decision support systems
Forecasting
Information fusion
Sensitivity analysis
Usability assessment
Web-based

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10.1016/j.dss.2005.07.005

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AU - Kumar, Prajeeb

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KW - Information fusion

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Movie forecast Guru: A Web-based DSS for Hollywood managers

Abstract

Keywords

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