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Predicting and ranking box office revenue of movies based on big data
16 references·0 citing·45 second hop
Predicting and ranking box office revenue of movies based on big data (2020)Predicting and ranking box office revenue…A survey on deep learning for big data (2017)A survey on deep learning for…Methodologies for Cross-Domain Data Fusion: An Overview (2015)Methodologies for Cross-Domai…Deep learning applications and challenges in big data analytics (2015)Deep learning applications an…Big Data: A Survey (2014)Big Data: A SurveyBig Data Deep Learning: Challenges and Perspectives (2014)Big Data Deep Learning: Chall…Beyond the hype: Big data concepts, methods, and analytics (2014)Beyond the hype: Big data con…Whose and what chatter matters? The effect of tweets on movie sales (2013)Whose and what chatter matter…Forecasting with twitter data (2013)Forecasting with twitter dataMovie stars and box office revenues: an empirical analysis (2012)Movie stars and box office re…Impact of star and movie buzz on motion picture distribution and box office revenue (2010)Impact of star and movie buzz…Forecasting box office revenue of movies with BP neural network (2008)Forecasting box office revenu…Determinants of motion picture box office and profitability: an interrelationship approach (2007)Determinants of motion pictur…Predicting box-office success of motion pictures with neural networks (2005)Predicting box-office success…Bad is Stronger than Good (2001)Bad is Stronger than GoodA Bayesian Model to Forecast New Product Performance in Domestic and International Markets (1999)A Bayesian Model to Forecast …Predicting Success of Theatrical Movies: An Empirical Study (1983)Predicting Success of Theatri…Investigating Causal Relations by Econometric Models and Cross-spectral Methods (1969)Data fusion (2009)Discovering regions of different functions in a city using human mobility and POIs (2012)Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction (2017)Machine Learning With Big Data: Challenges and Approaches (2017)Predicting citywide crowd flows using deep spatio-temporal residual networks (2018)Big data: The next frontier for innovation, competition, and productivity (2011)Online Learning and Online Convex Optimization (2011)Online Learning and Online Convex Optimization (2012)Machine learning on big data: Opportunities and challenges (2017)CoRR: A Computing Research Repository (2000)Frontiers in Massive Data Analysis (2013)Big Data technologies: A survey (2017)Film Critics: Influencers or Predictors? (1997)Marketing models of consumer heterogeneity (1998)10.1007/978-1-4899-4485-6 (2000)Exploring the value of online product reviews in forecasting sales: The case of motion pictures (2007)Prospect Theory: An Analysis of Decision under Risk (1979)Prospect theory: An analysis of decision under risk (1988)The need to belong: Desire for interpersonal attachments as a fundamental human motivation. (1995)Individual differences in reasoning: Implications for the rationality debate? (2000)Heuristics and Biases: The Psychology of Intuitive Judgment (2004)Experimental evidence of massive-scale emotional contagion through social networks (2014)An index to quantify an individual's scientific research output (2005)Big data: a revolution that will transform how we live, work, and think (2013)Critical analysis of Big Data challenges and analytical methods (2016)The role of big data in smart city (2016)Big Data Analytics in Intelligent Transportation Systems: A Survey (2018)Business Intelligence and Analytics: From Big Data to Big Impact (2012)Challenges of Big Data analysis (2014)Setting the future of digital and social media marketing research: Perspectives and research propositions (2020)The Strength of Weak Ties (1973)Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations (1991)The Effect of Word of Mouth on Sales: Online Book Reviews (2006)The Effect of Electronic Word of Mouth on Sales: A Meta-Analytic Review of Platform, Product, and Metric Factors (2015)Advertising Content and Consumer Engagement on Social Media: Evidence from Facebook (2017)Conceptualizing the electronic word-of-mouth process: What we know and need to know about eWOM creation, exposure, and evaluation (2019)Data mining with big data (2013)Data-intensive applications, challenges, techniques and technologies: A survey on Big Data (2014)A survey of data fusion in smart city applications (2019)Leveraging Deep Learning and IoT big data analytics to support the smart cities development: Review and future directions (2020)Artificial intelligence in E-Commerce: a bibliometric study and literature review (2022)Word of Mouth for Movies: Its Dynamics and Impact on Box Office Revenue (2006)Do online reviews matter? — An empirical investigation of panel data (2008)Impact of Online Consumer Reviews on Sales: The Moderating Role of Product and Consumer Characteristics (2010)
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References

  • 2001Bad is Stronger than Good7,670 cited
  • 2014Beyond the hype: Big data concepts, methods, and analytics4,409 cited
  • 2014Big Data: A Survey3,072 cited
  • 2015Deep learning applications and challenges in big data analytics2,619 cited
  • 2014Big Data Deep Learning: Challenges and Perspectives1,255 cited
  • 2017A survey on deep learning for big data1,239 cited
  • 2015Methodologies for Cross-Domain Data Fusion: An Overview454 cited
  • 1983Predicting Success of Theatrical Movies: An Empirical Study403 cited
  • 2013Whose and what chatter matters? The effect of tweets on movie sales387 cited
  • 1999A Bayesian Model to Forecast New Product Performance in Domestic and International Markets338 cited
  • 2005Predicting box-office success of motion pictures with neural networks299 cited
  • 2010Impact of star and movie buzz on motion picture distribution and box office revenue181 cited
  • 2013Forecasting with twitter data169 cited
  • 2008Forecasting box office revenue of movies with BP neural network137 cited
  • 2012Movie stars and box office revenues: an empirical analysis123 cited
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Determinants of motion picture box office and profitability: an interrelationship approach
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