US 12,231,732 B2
Content recommendation based on a system prediction and user behavior
Shyak Das, West Bengal (IN); Vikram Makam Gupta, Karnataka (IN); Muthukumar Lakshmipathi, Karnataka (IN); and Madhusudhan Seetharam, Bangalore (IN)
Assigned to Adeia Guides Inc., San Jose, CA (US)
Filed by Adeia Guides Inc., San Jose, CA (US)
Filed on Dec. 19, 2023, as Appl. No. 18/545,354.
Application 18/545,354 is a continuation of application No. 17/961,932, filed on Oct. 7, 2022, granted, now 11,889,154.
Application 17/961,932 is a continuation of application No. 17/370,620, filed on Jul. 8, 2021, granted, now 11,490,163, issued on Nov. 1, 2022.
Prior Publication US 2024/0121478 A1, Apr. 11, 2024
This patent is subject to a terminal disclaimer.
Int. Cl. H04N 21/472 (2011.01); H04N 21/466 (2011.01)
CPC H04N 21/47214 (2013.01) [H04N 21/4663 (2013.01); H04N 21/4668 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
determining a user confidence score based on data received via a user interface input of a user device, wherein the user confidence score is indicative of a user confidence in whether a weather event will occur in the future;
obtaining current weather data for a location of the user device;
calculating a prediction score which estimates a likelihood of the weather event occurring in the future based on the current weather data and a weather model; and
in response to determining that a difference between the user confidence score and the prediction score exceeds a threshold:
generating for output on the user device a recommendation of an identifier of a content item, wherein the recommendation is associated with the weather event.