Filtering content based on user mobile network and data-plan

• US 10,361,936 B2
• Filed: 08/19/2015
• Issued: 07/23/2019
• Est. Priority Date: 08/19/2015
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google LLC (Alphabet Inc.)
• Inventors: Carter, Bernadette Alexia, Meyer, Daniel Frederick
• Primary Examiner(s): Thai, Hanh B
• Application Number:
  US14/830,252
• Publication Number:
  US 20170054614A1
• Time in Patent Office: 1,434 Days
• Field of Search: 707754
• CPC Class Codes: G06F 16/24578 using ranking
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: H04L 43/0805 by checking availability
• CPC Class Codes: H04L 47/805 QOS or priority aware

Abstract

A system comprising a processor and a memory storing instructions that, when executed, cause the system to receive a content request from a client device of a user; determine level of network availability on the client device and data plan availability associated with the user; determine one or more content filtering factors to filter the content for display to the user; filter the content based on the one or more filtering factors, the level of network availability, and the data plan availability; and provide filtered content for display on the client device of the user.

Claims

1. A computer-implemented method comprising:

receiving, using one or more computing devices, a content request from a client device of a user;

determining, using the one or more computing devices, a first network quality status for the client device and data plan availability associated with the user;

determining, using the one or more computing devices, one or more filtering factors including the user'"'"'s prior interaction with an item of content from a plurality of content items and the user input indicating one or more events related to the item at a particular time;

filtering, using the one or more computing devices, the plurality of content items to generate filtered content based on the user'"'"'s prior interaction with the item, the user input indicating one or more events related to the item at a particular time, the first network quality status, and whether data plan usage satisfies a threshold that is dynamically determined based on the data plan availability;

determining a second network quality status;

responsive to a difference between the first network quality status and the second network quality status, modifying the filtered content based on the difference; and

providing, using the one or more computing devices, the modified content for display on the client device of the user.

2. The computer-implemented method of claim 1, further comprising:

sending, using the one or more computing devices, a notification to the client device of the user, the notification notifying the user of one or more of the first network quality status and the data plan availability and asking the user whether to filter the plurality of content items;

receiving from the client device of the user, using the one or more computing devices, the user'"'"'s approval to filter the plurality of content items; and

filtering, using the one or more computing devices, the plurality of content items responsive to receiving the user'"'"'s approval.

3. The computer-implemented method of claim 1, further comprising:

determining, using the one or more computing devices, a relevance of the item based on the one or more filtering factors;

assigning, using the one or more computing devices, an inclusion score for the item based on the relevance of the item and one or more of the first network quality status and the data plan availability; and

wherein filtering, using the one or more computing devices, the plurality of content items includes removing the item from the filtered content responsive to determining that the inclusion score for the item is less than a certain threshold.

4. The computer-implemented method of claim 1, wherein the one or more filtering factors include a user interest, a user content quality preference, the user'"'"'s current location or environment of content access, the user'"'"'s affinity to other users to which the item of content is related, a type and a size of the item of content, and the user'"'"'s normal usage of data plan.

5. The computer-implemented method of claim 1, further comprising:

determining, using the one or more computing devices, the first network quality status as poor;

notifying, using the one or more computing devices, the user of the poor first network quality status and providing an option to the user of whether to filter the plurality of content items based on the poor first network quality status;

receiving, using the one or more computing devices, the user'"'"'s approval to the option of filtering the plurality of content items; and

filtering, using the one or more computing devices, the plurality of content items by excluding high quality multimedia items from the filtered content and prioritizing the plurality of content items that are text-based and include small size images.

6. The computer-implemented method of claim 5, wherein providing the modified content for display comprises:

automatically providing, using the one or more computing devices, the high quality multimedia items that were filtered out from the filtered content for display to the user responsive to determining that the second network quality status is improved from the first network quality status.

7. The computer-implemented method of claim 1, wherein filtering the plurality of content items includes one or more of excluding one or more items from the filtered content and degrading quality of the filtered content.

8. The computer-implemented method of claim 1, wherein the filtered content includes one or more of social network posts, news articles, videos, texts, audio clips, and images.

9. A computer program product comprising a non-transitory computer usable medium including a computer readable program, wherein the computer readable program when executed on a computer causes the computer to:

receive a content request from a client device of a user;

determine a first network quality status for the client device and data plan availability associated with the user;

determine one or more filtering factors including the user'"'"'s prior interaction with an item of content from a plurality of content items and the user input indicating one or more events related to the item at a particular time;

filter the plurality of content items to generate filtered content based on the user'"'"'s prior interaction with the item, the user input indicating one or more events related to the item at a particular time, the first network quality status, and whether data plan usage satisfies a threshold that is dynamically determined based on the data plan availability;

determine a second network quality status;

responsive to a difference between the first network quality status and the second network quality status, modify the filtered content based on the difference; and

provide the modified content for display on the client device of the user.

10. The computer program product of claim 9, wherein the computer readable program when executed on the computer also causes the computer to:

send a notification to the client device of the user, the notification notifying the user of one or more of the first network quality status and the data plan availability and asking the user whether to filter the plurality of content items;

receive, from the client device of the user, the user'"'"'s approval to filter the plurality of content items; and

filter the plurality of content items responsive to receiving the user'"'"'s approval.

11. The computer program product of claim 9, wherein the computer readable program when executed on the computer also causes the computer to:

determine a relevance of the item based on the one or more filtering factors;

assign an inclusion score for the item based on the relevance of the item and one or more of the first network quality status and the data plan availability; and

wherein filtering the plurality of content items includes removing the item from the filtered content responsive to determining that the inclusion score for the item is less than a certain threshold.

12. The computer program product of claim 9, wherein the one or more filtering factors include a user interest, a user content quality preference, the user'"'"'s current location or environment of content access, the user'"'"'s affinity to other users to which the item of content is related, a type and a size of the item of content, and the user'"'"'s normal usage of data plan.

13. The computer program product of claim 9, wherein the computer readable program when executed on the computer also causes the computer to:

determine the first network quality status as poor;

notify the user of the poor first network quality status and provide an option to the user of whether to filter the plurality of content items based on the poor first network quality status;

receive the user'"'"'s approval to the option of filtering the plurality of content items; and

filter the plurality of content items by excluding high quality multimedia items from the filtered content and prioritizing the plurality of content items that are text-based and include small size images.

14. The computer program product of claim 13, wherein to provide the modified content for display, the computer readable program when executed on the computer also causes the computer to:

automatically provide the high quality multimedia items that were filtered out from the filtered content for display to the user responsive to determining that the second network quality status is improved from the first network quality status.

15. The computer program product of claim 9, wherein to filter the plurality of content items, the computer readable program when executed on the computer also causes the computer to perform one or more of excluding one or more items from the filtered content and degrading quality of the filtered content.

16. The computer program product of claim 9, wherein the filtered content includes one or more of social network posts, news articles, videos, texts, audio clips, and images.

17. A system comprising:

a processor; and

a memory storing instructions that, when executed, cause the system to;

receive a content request from a client device of a user;

determine a first network quality status for the client device and data plan availability associated with the user;

determine one or more filtering factors including the user'"'"'s prior interaction with an item of content from a plurality of content items and the user input indicating one or more events related to the item at a particular time;

filter the plurality of content items to generate filtered content based on the user'"'"'s prior interaction with the item, the user input indicating one or more events related to the item at a particular time, the first network quality status, and whether data plan usage satisfies a threshold that is dynamically determined based on the data plan availability;

determine a second network quality status;

responsive to a difference between the first network quality status and the second network quality status, modify the filtered content based on the difference; and

provide the modified content for display on the client device of the user.

18. The system of claim 17, wherein the instructions when executed also causes the system to:

send a notification to the client device of the user, the notification notifying the user of one or more of the first network quality status and the data plan availability and asking the user whether to filter the plurality of content items;

receive, from the client device of the user, the user'"'"'s approval to filter the plurality of content items; and

filter the plurality of content items responsive to receiving the user'"'"'s approval.

19. The system of claim 17, wherein the instructions when executed also causes the system to:

determine a relevance of the item based on the one or more filtering factors;

assign an inclusion score for the item based on the relevance of the item and one or more of the first network quality status and the data plan availability; and

wherein filtering the plurality of content items includes removing the item from the filtered content responsive to determining that the inclusion score for the item is less than a certain threshold.

20. The system of claim 17, wherein the one or more filtering factors include a user interest, a user content quality preference, the user'"'"'s current location or environment of content access, the user'"'"'s affinity to other users to which the item of content is related, a type and a size of the item of content, and the user'"'"'s normal usage of data plan.