Personalized content recommendations based on consumption periodicity
地域：
PA
PA Philadelphia
摘要
Aspects described herein describe providing content recommendations such as, for example, recommendations for video content. A content recommendation may be based on when content was previously consumed.
說明書
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With respect to the similarity between the video content paired, various approaches may be selectively employed to determine the similarity score. In some example implementations, the similarity between paired video content may be based on metadata for the content, e.g., content type (movie, television series, news program, etc.), genre (drama, action, horror, romance, etc.), release date, actors, and other types of content metadata that will be appreciated by those skilled in the art of content distribution. In these examples, video content may be determined to be relatively more or less similar depending on which and/or how many items of metadata they have in common.
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