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

Dursun Delen, Ramesh Sharda, Prajeeb Kumar

Research output: Contribution to journalArticle

60 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 languageEnglish
Pages (from-to)1151-1170
Number of pages20
JournalDecision Support Systems
Volume43
Issue number4
DOIs
StatePublished - 1 Aug 2007
Externally publishedYes

Keywords

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

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