Granted Patent B2

US 12,572,563 · App. 18/590,357 · Granted Mar 10, 2026

Inventors: Chad Kalmes (Lafayette, CA); Mark Jacobson (San Francisco, CA); Tim Lynch (San Anselmo, CA)

Assignee: Adeia Media Holdings LLC

G06F16/284G06F16/435G06F16/48

Abstract

Claims (56)

1 . A method comprising:

identifying a plurality of data points representing a plurality of viewing events for a content item, wherein each data point of the plurality of data points identifies a respective content item, a respective user profile associated with the respective viewing event and a respective completion amount of the content item;

for each respective data point of the plurality of data points:

assigning a respective weighting score to the respective data point:

wherein the respective weighting score scales proportionally to the completion amount up to a completion threshold; and

wherein the respective weighting score is capped when the completion threshold is exceeded;

aggregating each respective weighted data point of the plurality of data points;

based on the aggregated plurality of weighted data points, transmitting content recommendations to at least one device associated with at least one profile of the user profiles.

2 . The method of claim 1 , wherein aggregating each respective weighting score of each respective data point of the plurality of data points comprises:

aggregating each respective weighting score to one or more value ranges in a database, wherein the one or more value ranges correspond to a completion amount range.

3 . The method of claim 1 , further comprising:

aggregating each respective weighted data point of the plurality of data points according to one or more groupings based on geo-location information associated with the respective weighted data point, wherein the grouping is associated with a secondary weighting factor; and

assigning the secondary weighting factor to the respective weighted data point.

4 . The method of claim 1 , wherein assigning the respective weighting score to the respective data point comprises:

applying a mathematical transformation that imposes a maximum value or minimum value on the weighting score, wherein the maximum value corresponds to the completion threshold.

5 . The method of claim 4 , further comprising:

for each respective data point of the plurality of data points:

assigning the minimum value to the respective data point:

wherein the respective minimum value is assigned to the data point up to the completion amount reaching a minimum completion threshold; and

wherein the respective weighting score scales proportionally to the completion amount after reaching the minimum completion threshold.

6 . The method of claim 1 , wherein the content item is one of:

a video content, an image content, an audio content, a content genre, or a content channel.

7 . The method of claim 1 , wherein each of the content recommendations comprises an estimate of a preference for the respective content item and the respective user profile identified by one of the aggregated plurality of weighted data points.

8 . The method of claim 1 , wherein each data point also identifies a respective viewing count associated with the user profile.

9 . The method of claim 1 , wherein the content recommendations each comprise a recommendation to view a suggested content item.

10 . The method of claim 9 , further comprising:

in response to identifying a viewing event of the suggested content item associated with the at least one profile, increasing the respective weighting score of the data point representing the viewing event.

11 . A system comprising:

control circuitry configured to:

identify a plurality of data points representing a plurality of viewing events for a content item, wherein each data point of the plurality of data points identifies a respective content item, a respective user profile associated with the respective viewing event and a respective completion amount of the content item;

for each respective data point of the plurality of data points:

assign a respective weighting score to the respective data point:

wherein the respective weighting score scales proportionally to the completion amount up to a completion threshold; and

wherein the respective weighting score is capped when the completion threshold is exceeded;

aggregate each respective weighted data point of the plurality of data points;

input/output circuitry configured to:

based on the aggregated plurality of weighted data points, transmit content recommendations to at least one device associated with at least one profile of the user profiles.

12 . The system of claim 11 , wherein the control circuitry is configured to aggregate each respective weighting score of each respective data point of the plurality of data points by:

aggregating each respective weighting score to one or more value ranges in a database, wherein the one or more value ranges correspond to a completion amount range.

13 . The system of claim 11 , wherein the control circuitry is further configured to:

aggregating each respective weighted data point of the plurality of data points according to one or more groupings based on geo-location information associated with the respective weighted data point, wherein the grouping is associated with a secondary weighting factor; and

assigning the secondary weighting factor to the respective weighted data point.

14 . The system of claim 11 , wherein the control circuitry is configured to assign the respective weighting score to the respective data point by:

applying a mathematical transformation that imposes a maximum value or minimum value on the weighting score, wherein the maximum value corresponds to the completion threshold.

15 . The system of claim 14 , wherein the control circuitry is further configured to:

for each respective data point of the plurality of data points:

assigning the minimum value to the respective data point:

wherein the respective minimum value is assigned to the data point up to the completion amount reaching a minimum completion threshold; and

wherein the respective weighting score scales proportionally to the completion amount after reaching the minimum completion threshold.

16 . The system of claim 11 , wherein the content item is one of:

a video content, an image content, an audio content, a content genre, or a content channel.

17 . The system of claim 11 , wherein each of the content recommendations comprises an estimate of a preference for the respective content item and the respective user profile identified by one of the aggregated plurality of weighted data points.

18 . The system of claim 11 , wherein each data point also identifies a respective viewing count associated with the user profile.

19 . The system of claim 11 , wherein the content recommendations each comprise a recommendation to view a suggested content item.

20 . The system of claim 19 , wherein the control circuitry is further configured to:

in response to identifying a viewing event of the suggested content item associated with the at least one profile, increase the respective weighting score of the data point representing the viewing event.

Assignments (5)

Continuity (6)

References Cited (163)