Rovi Guides, Inc.

Adeia Guides Inc.

Urvashi Verma

Gyanveer Singh

Vijay A Kumar

Systems and methods for enhancing virality for a content item are disclosed herein. A content item is uploaded to a content sharing platform over a communication network. Feedback on the content item is received from the content sharing platform over the communication network. Based on the feedback, a virality score for the content item is determined and a determination is made as to whether the virality score meets a virality criterion. In response to a determination that the virality score does not meet the virality criterion, a virality enhancement technique is selected from a virality enhancement database, the content item is modified by applying the virality enhancement technique to the content item, and the modified content item is uploaded to the content sharing platform over the communication network.

Automated content virality enhancement

Systems and associated methods are described for determining popularity of new content. The system analyzes a content item to identify at least a first and a second attribute associated with the content item. The system also identifies previously posted content items associated with the first and the second attributes. The system then determines levels of user activity associated with the previously posted content item corresponding to the first attribute over a first past time period and associated with the previously posted content item corresponding to the second attribute over a second past time period. The system then extrapolates a levels of user activity for a future time period based on the first past time period and on the second past time period. The system further determines an anticipated level of user activity associated with the content item for the future time period based on the extrapolated levels of user activity.

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Bengaluru, India

Urvashi Verma