{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/early-predictions-of-movie-success-the-who","title":"Early Predictions of Movie Success: the Who, What, and When of Profitability","arxiv_id":"1506.05382","date":"2015-06-17","proceeding":null,"authors":["Michael T. Lash","Kang Zhao"],"abstract":"This paper proposes a decision support system to aid movie investment\ndecisions at the early stage of movie productions. The system predicts the\nsuccess of a movie based on its profitability by leveraging historical data\nfrom various sources. Using social network analysis and text mining techniques,\nthe system automatically extracts several groups of features, including \"who\"\nare on the cast, \"what\" a movie is about, \"when\" a movie will be released, as\nwell as \"hybrid\" features that match \"who\" with \"what\", and \"when\" with \"what\".\nExperiment results with movies during an 11-year period showed that the system\noutperforms benchmark methods by a large margin in predicting movie\nprofitability. Novel features we proposed also made great contributions to the\nprediction. In addition to designing a decision support system with practical\nutilities, our analysis of key factors for movie profitability may also have\nimplications for theoretical research on team performance and the success of\ncreative work.","url_abs":"http://arxiv.org/abs/1506.05382v2","url_pdf":"http://arxiv.org/pdf/1506.05382v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"early-predictions-of-movie-success-the-who","repo_url":"https://github.com/tcharsol/mads-movies","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}