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Movie-Teller: التنبؤ بشعبية و نجاح الأفلام والبرامج التلفزيونية في مرحلة التخطيط

Solution Description

A system that predicts TV series’ popularity at the stage of the idea and enables one to choose the TV series with the highest potential.

ClientMajor Russian media channel producing TV and video content.

ExpertiseFull-cycle development Analytics

Date2020-2021

Technology Background

Inventale’s massive experience in working with Big Data and accounting numerous events and adjustments is the basis of this project (apart from data mining and machine learning).

The steps made to implement the project include:

Compilation and processing of data on
movies and series from IMDb website

Training of various Random Forest
combinations using H2O in R

Analysis of the resulting hundreds
of parameters such as:

  • genres and settings;
  • cast and film directors;
  • the correlation between the year of
    release and the film or series rating;
  • the temporal genre popularity;
  • actors;
  • screenwriters;
  • directors ratings, depending on the genre;
  • socio-demographic perception, etc.

Inclusion of external factors into the forecast:

  • seasonality;
  • the competition of major projects and TV shows between channels;
  • competition with significant scheduled
    events (like Super Bowl or the World Cup);
  • other

Result

  • A back-test was conducted on more than 80,000 cinema projects with the accuracy of the results of more than 85%.

  • Now, a Russian TV Series is being shot based on Movie-Teller’s analytics and forecasting.

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