Entertainment Prediction Favorites

摘要

Systems and methods are described for generating recommendations for content items and ranking categories of content based on a user's consumption history. The content items may comprise various forms of media content, including, video, audio, Internet webpages, etc. When a user or consumption device accesses content items, a computing device may monitor the amount of the content items consumed by a user over one or more consumption sessions. In one embodiment, a user may identify content preferences and/or provide other input to the recommendation system to further customize content rankings and recommendations.

主权项

1. A method comprising:
identifying, by a computing device, a first plurality of content items consumed by a user; identifying a first plurality of content elements included in a first ranking category; determining a first ranking for each content element in the first plurality of content elements; identifying a first set of content items in the first plurality of content items corresponding to the first plurality of content elements; for each content item in the first set of content items, adjusting a secondary score value for a content element having a highest first ranking; determining second rankings for each content element in the first plurality of content elements based at least on their respective secondary score value; and generating a content recommendation for the user based at least in part on the second rankings.