An Integrated Approach to TV & VOD Recommendations


Click Here to Download the White Paper [PDF]

As TV systems have become larger and more complex, the need to help viewers sort through content has grown, as viewers drown in choice. TV systems, which can now include thousands of VOD assets, hundreds of recorded shows on top of hundreds of broadcast channels, have to work hard to help the viewer make choices.

This white paper reviews the different underlying technologies and algorithms that can be used to provide automatic recommendations for TV, film and VOD content. It then explores the benefits of combining these approaches into an integrated recommendations solution based on multiple sources of data in a transparent viewer experience.

Topics covered include:

  • Collaborative Filtering
  • Automatic Content Analysis
  • Social Recommendations
  • Bayes Theorem: building a recommendations

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