Add to ORKGWe present an approach developed in course of the VAST 2013 Mini Challenge: Visualize the Box Office. We follow a similaritydriven methodology to predict ratings and box office results based on historic data. An array of interactive visualizations allow analysts to explore structured and unstructured data, activate their domain background knowledge, and come up with predictions as a weighted sum of historically observed figures. We describe the workflow, our developed system, present results obtained during the Challenge execution, and discuss our method in light of extension possibilities
Abstract — Predicting societal reactions to a new product in terms of perceived popularity and rate...
Previous studies on predicting the box-office performance of a movie using machine learning techniqu...
Galvão, M., & Henriques, R. (2018). Forecasting Movie Box Office Profitability. Journal of Informati...
We present an approach developed in course of the VAST 2013 Mini Challenge: Visualize the Box Office...
This paper describes our solution to the IEEE VAST 2013 Mini Challenge 11. The task of the challenge...
We present two original approaches for visual-interactive prediction of user movie ratings and box o...
This paper describes our solution to the IEEE VAST 2013 Mini Challenge 11. The task of the challenge...
Predicting movies ’ box office performance is a bit like gambling and predicting the stock market: t...
Film is considered as a historical process of society in the form of a living image. With the Academ...
We collected movie dataset from Internet Movie Database (IMDB) website for our experiments using an ...
To improve the movie box office prediction accuracy, this paper proposes an adaptive attention with ...
This thesis report is submitted in partial fulfilment of the requirements for the degree of Bachelor...
Box-office forecasting is a challenging but important task for movie distributors in their decision ...
The creation of movies involves a careful process of planning, recording, and editing of the visual ...
Extended abstract and PosterInternational audienceCinemAviz is a visualization tool for the explorat...
Abstract — Predicting societal reactions to a new product in terms of perceived popularity and rate...
Previous studies on predicting the box-office performance of a movie using machine learning techniqu...
Galvão, M., & Henriques, R. (2018). Forecasting Movie Box Office Profitability. Journal of Informati...
We present an approach developed in course of the VAST 2013 Mini Challenge: Visualize the Box Office...
This paper describes our solution to the IEEE VAST 2013 Mini Challenge 11. The task of the challenge...
We present two original approaches for visual-interactive prediction of user movie ratings and box o...
This paper describes our solution to the IEEE VAST 2013 Mini Challenge 11. The task of the challenge...
Predicting movies ’ box office performance is a bit like gambling and predicting the stock market: t...
Film is considered as a historical process of society in the form of a living image. With the Academ...
We collected movie dataset from Internet Movie Database (IMDB) website for our experiments using an ...
To improve the movie box office prediction accuracy, this paper proposes an adaptive attention with ...
This thesis report is submitted in partial fulfilment of the requirements for the degree of Bachelor...
Box-office forecasting is a challenging but important task for movie distributors in their decision ...
The creation of movies involves a careful process of planning, recording, and editing of the visual ...
Extended abstract and PosterInternational audienceCinemAviz is a visualization tool for the explorat...
Abstract — Predicting societal reactions to a new product in terms of perceived popularity and rate...
Previous studies on predicting the box-office performance of a movie using machine learning techniqu...
Galvão, M., & Henriques, R. (2018). Forecasting Movie Box Office Profitability. Journal of Informati...