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

Dursun Delen, Ramesh Sharda, Prajeeb Kumar

Research output: Contribution to journalArticle

53 Citations (Scopus)

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

Fingerprint

Motion Pictures
Managers
Web services
Stars
Prediction
Movies
World Wide Web
Guru
Hollywood
Prediction model
Web-based
Web Services
Blockbuster
Lessons learned
Nontraditional

Keywords

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

Cite this

Delen, Dursun ; Sharda, Ramesh ; Kumar, Prajeeb. / Movie forecast Guru : A Web-based DSS for Hollywood managers. In: Decision Support Systems. 2007 ; Vol. 43, No. 4. pp. 1151-1170.
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Movie forecast Guru : A Web-based DSS for Hollywood managers. / Delen, Dursun; Sharda, Ramesh; Kumar, Prajeeb.

In: Decision Support Systems, Vol. 43, No. 4, 01.08.2007, p. 1151-1170.

Research output: Contribution to journalArticle

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