{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,21]],"date-time":"2025-12-21T10:03:47Z","timestamp":1766311427412,"version":"3.37.3"},"reference-count":19,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2019,6,27]],"date-time":"2019-06-27T00:00:00Z","timestamp":1561593600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2019,6,27]],"date-time":"2019-06-27T00:00:00Z","timestamp":1561593600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Rev Socionetwork Strat"],"published-print":{"date-parts":[[2020,4]]},"DOI":"10.1007\/s12626-019-00040-6","type":"journal-article","created":{"date-parts":[[2019,6,27]],"date-time":"2019-06-27T09:17:35Z","timestamp":1561627055000},"page":"1-17","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Prediction Model for Bollywood Movie Success: A Comparative Analysis of Performance of Supervised Machine Learning Algorithms"],"prefix":"10.1007","volume":"14","author":[{"given":"Hemraj","family":"Verma","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6715-8596","authenticated-orcid":false,"given":"Garima","family":"Verma","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,6,27]]},"reference":[{"key":"40_CR1","doi-asserted-by":"crossref","unstructured":"Jaiswal, S. R., & Sharma, D. (2017). Predicting success of Bollywood movies using machine learning techniques. ACM Compute 2017, Nov, Bhopal, India.","DOI":"10.1145\/3140107.3140126"},{"issue":"8","key":"40_CR2","doi-asserted-by":"publisher","first-page":"759","DOI":"10.1108\/IJRDM-11-2012-0108","volume":"42","author":"DG Taylor","year":"2014","unstructured":"Taylor, D. G., & Levin, M. (2014). Predicting mobile app usage for purchasing and information-sharing. International Journal of Retail & Distribution Management,42(8), 759\u2013774.","journal-title":"International Journal of Retail & Distribution Management"},{"key":"40_CR3","unstructured":"Deloitte. (2016). A report on, Indywood the Indian film industry. \nhttps:\/\/www2.deloitte.com\/content\/dam\/Deloitte\/in\/Documents\/technology-media-telecommunications\/in-tmt-indywood-film-festival-noexp.pdf\n\n. Accessed Nov 2018."},{"key":"40_CR4","unstructured":"Saraee, M. H., White, S., & Eccleston, J. (2004). A data mining approach to analysis and prediction of movie ratings. Transactions of the Wessex Institute, Wessex Institute Press."},{"issue":"9","key":"40_CR5","doi-asserted-by":"publisher","first-page":"1604","DOI":"10.1108\/IMDS-04-2015-0145","volume":"115","author":"DD Gaikar","year":"2015","unstructured":"Gaikar, D. D., & Marakarkandy, B. (2015). Using Twitter data to predict the performance of Bollywood movies. Industrial Management and Data Systems,115(9), 1604\u20131621.","journal-title":"Industrial Management and Data Systems"},{"key":"40_CR6","doi-asserted-by":"crossref","unstructured":"Zhang, W., & Skiena, S. (2009). Improving movie gross prediction through news analysis. In IEEE proceedings of international joint conference on web intelligence and intelligent agent technology, Italy, 2009 (pp. 301\u2013304).","DOI":"10.1109\/WI-IAT.2009.53"},{"key":"40_CR7","unstructured":"Yang, H., & Fong, S. (2011) Optimized very fast decision tree with balanced classification accuracy and compact tree size. In Proceeding of the 3rd international conference on data mining and intelligent information technology applications (pp. 57\u201364)."},{"issue":"2","key":"40_CR8","first-page":"123","volume":"24","author":"L Breiman","year":"1996","unstructured":"Breiman, L. (1996). Bagging predictors. Machine Learning,24(2), 123\u2013140.","journal-title":"Machine Learning"},{"key":"40_CR9","doi-asserted-by":"crossref","unstructured":"Montillo, A., Shotton, J., Winn, J., Iglesias, J. E., Metaxas, D., & Criminisi, A. (2011). Entangled decision forests and their application for semantic segmentation of CT images. In IPMI, 2011.","DOI":"10.1007\/978-3-642-22092-0_16"},{"key":"40_CR10","volume-title":"Support vector machine for pattern classification","author":"S Abe","year":"2005","unstructured":"Abe, S. (2005). Support vector machine for pattern classification. Berlin: Springer."},{"key":"40_CR11","doi-asserted-by":"crossref","unstructured":"Auria, L., & Moro, R. A. (2008). Support vector machines as a technique for solvency analysis. DIW Berlin discussion paper no. 811.","DOI":"10.2139\/ssrn.1424949"},{"key":"40_CR12","unstructured":"Freund, Y., & Schapire, R. (1996). Experiments with a new boosting algorithm. In Proceedings of the 13th international conference on machine learning (pp. 148\u2013156). Burlington: Morgan Kaufmann."},{"issue":"1","key":"40_CR13","doi-asserted-by":"publisher","first-page":"119","DOI":"10.1006\/jcss.1997.1504","volume":"55","author":"Y Freund","year":"1997","unstructured":"Freund, Y., & Schapire, R. (1997). A decision-theoretic generalization of on-line learning and an application to boosting. Journal of Computer and System Sciences,55(1), 119\u2013139.","journal-title":"Journal of Computer and System Sciences"},{"key":"40_CR14","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/978-1-4419-1742-3","volume-title":"Logistic regression","author":"DG Kleinbaum","year":"2010","unstructured":"Kleinbaum, D. G., & Klein, M. (2010). Logistic regression (pp. 1\u201339). New York: Springer."},{"key":"40_CR15","first-page":"901","volume-title":"Handbook of measuring system design","author":"A Abraham","year":"2005","unstructured":"Abraham, A. (2005). Artificial neural networks. In P. Sydenham & R. Thorn (Eds.), Handbook of measuring system design (pp. 901\u2013908). London: Wiley."},{"key":"40_CR16","unstructured":"boxofficeindia. Web page. \nhttp:\/\/www.boxofficeindia.com\n\n."},{"key":"40_CR17","unstructured":"Cinemalytics. The Bollywood movie database. Web page. \nhttps:\/\/www.cinemalytics.com\n\n."},{"key":"40_CR18","unstructured":"IMDb Database Statistics. Web page. \nhttp:\/\/www.imdb.com\/stats\n\n."},{"key":"40_CR19","doi-asserted-by":"publisher","first-page":"421","DOI":"10.1093\/biostatistics\/3.3.421","volume":"3","author":"TA Alonzo","year":"2002","unstructured":"Alonzo, T. A., & Pepe, M. S. (2002). Distribution-free ROC analysis using binary regression techniques. Biostatistics,3, 421\u2013432.","journal-title":"Biostatistics"}],"container-title":["The Review of Socionetwork Strategies"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s12626-019-00040-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s12626-019-00040-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s12626-019-00040-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,6,25]],"date-time":"2020-06-25T23:26:57Z","timestamp":1593127617000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s12626-019-00040-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,6,27]]},"references-count":19,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2020,4]]}},"alternative-id":["40"],"URL":"https:\/\/doi.org\/10.1007\/s12626-019-00040-6","relation":{},"ISSN":["2523-3173","1867-3236"],"issn-type":[{"type":"print","value":"2523-3173"},{"type":"electronic","value":"1867-3236"}],"subject":[],"published":{"date-parts":[[2019,6,27]]},"assertion":[{"value":"18 December 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 June 2019","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 June 2019","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}