A Machine-Learning App for TV Show Acquisitions

This paper explores the application of machine learning for acquiring TV shows, the secondary content that channels use to supplement original programming.

A Machine-Learning App for TV Show Acquisitions

Caroline Epstein and Fabio Luzzi

Introduction

During this current era of 24/7 broadcasting, networks often complement original content with syndicated TV series or movies that were successful on other stations in order to deliver a sufficient variety of content to their audiences. While sometimes considered a secondary priority to original programming, these acquisitions constitute a surprisingly large portion of network schedules, covering about 35% of the total program day across all television programming. And if the past year's scheduling data is any indication, this trend shows no sign of slowing (figure 1). The...

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