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AssigneeAlphonso Inc.
InventorsManish Gupta, Lampros Kalampoukas, Zhengziang Pan, Naren Sirugudi
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A content recommendation system that recommends content based on previous user content information and information regarding the user and user device. The system is capable of accurately recommending content using collaborative filtering by comparing the user's profile to other user profiles. User profiles rely on implicit ratings to determine user preferences. Implicit ratings may be determined by collecting the content that a user consumed, in addition to user and user device information. The system recommends content that similar users have consumed. The system is also able to identify and recommend trending content by analyzing changes in metrics over time. The system may also rely on automatic content recognition to identify content that the user is consuming without requiring active user input.
A method for recommending trending content comprising the steps of:
Dependencies are inferred from the claim text.