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Built forecasting models to predict video view time based on customers’ activities by utilizing Amazon Prime dataset

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Prime-Video-View-Time-Prediction

Built forecasting models to predict video view time based on customers’ activities by utilizing Amazon Prime dataset

image

Findings:

  1. From the figure above, the most important feature is the number of imdb_votes likes, that is, the more people like it, the more popular the movie will be;
  2. The second important feature is category_position and the third important feature is horizontal_position. That is the "Golden Triangle" because if a movie appearing in the upper left corner, then its click-through rate will become higher;
  3. At the same time, the least important feature is n_years (the time when the movie appeared), that is, the year the movie came out is not very important.

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Built forecasting models to predict video view time based on customers’ activities by utilizing Amazon Prime dataset

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