Personalized content recommendations based on consumption periodicity
Abstract:
Aspects described herein provide techniques for providing content recommendations such as, for example, recommendations for video content provided by a cable network. The content recommendation techniques described herein determine the extent to which previously consumed content should contribute to content considered for recommendation to a user based on the consumption time of the previously consumed content. The consumption habits of users have been observed to occur at regular intervals. These intervals are employed to adjust contribution factors for the previously consumed content when making content recommendations.
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