IP Library Granted Patent US 10,750,244
Granted Patent B2
US 10,750,244 · App. 15/234,003 · Granted Aug 18, 2020

Suggestive content based on habit

Inventors: Edward Michael Silver (Atlanta, GA); Linda Ann Roberts (Decatur, GA)
Assignee: AT&T INTELLECTUAL PROPERTY I, L.P.
H04N21/4826H04N21/26283H04N21/44222H04N21/4532H04N21/4586H04N21/4622H04N21/4667H04N21/4668H04N21/472H04N21/4882H04N21/84H04N5/445H04N21/42676
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Quick Facts
Patent No.
US 10,750,244
App. No.
15/234,003
Granted
Aug 18, 2020
Kind
B2
Abstract

Suggestions for content are based on a habit of a user. As the user requests content, content selections are monitored for habitual selections according to channels, titles, or genres. A programming guide may then be customized based on the habitual selections.

Claims (48)

1. A method, comprising:

receiving, by a server, selections of contents associated with a user identity, the user identity associated with a user;

determining, by the server, favorite genres of the contents associated with times of days, the favorite genres of the contents based on the selections of the contents associated with the user identity;

receiving, by the server, a request for a programming guide, the request for the programming guide associated with the user identity, the request for the programming guide specifying a time of day;

comparing, by the server, the favorite genres of the contents associated with the times of days to the time of day specified by the request for the programming guide;

determining, by the server, that none of the favorite genres of the contents is associated with the time of day specified by the request for the programming guide;

in response to none of the favorite genres of the contents being associated with the time of day specified by the request for the programming guide, selecting, by the server, a favorite genre of the favorite genres of the contents;

selecting, by the server, a related program that is related to the favorite genre selected from the favorite genres of the contents in response to none of the favorite genres of the contents being associated with the time of day; and

generating, by the server, a suggestion for the related program in response to the determining that none of the favorite genres of the contents is associated with the time of day specified by the request for the programming guide.

2. The method of claim 1 , further comprising retrieving information associated with the related program.

3. The method of claim 1 , further comprising generating the programming guide.

4. The method of claim 1 , further comprising organizing the favorite genres of the contents.

5. The method of claim 1 , further comprising selecting multiple programs associated with the favorite genre.

6. The method of claim 1 , further comprising selecting a content offering associated with the favorite genre.

7. The method of claim 1 , further comprising organizing the favorite genres of the contents according to the time of day.

8. An apparatus, comprising:

a hardware processor; and

a memory device, the memory device storing code, the code when executed causing the hardware processor to perform operations, the operations comprising:

determining favorite genres of contents based on habitual content selections;

generating an electronic table that electronically associates the favorite genres of contents according to time;

receiving a request for a programming guide, the request for the programming guide specifying a time of day;

querying the electronic table for the time of day specified in the request for the programming guide;

determining that the electronic table lacks an entry for the time of day specified by the request for the programming guide;

selecting one of the favorite genres of contents from the electronic table after the determining that the electronic table lacks the entry for the time of day specified by the request for the programming guide;

determining a program associated with the one of the favorite genres of contents selected from the electronic table;

selecting a related program that is related to the program associated with the one of the favorite genres of contents selected from the electronic table; and

generating a suggestion for the related program as a response to the request for the programming guide.

9. The apparatus of claim 8 , wherein the operations further comprise generating the programming guide.

10. The apparatus of claim 8 , wherein the operations further comprise selecting a title associated with the one of the favorite genres of contents.

11. The apparatus of claim 8 , wherein the operations further comprise displaying the favorite genres of contents.

12. The apparatus of claim 8 , wherein the operations further comprise displaying any content associated with the one of the favorite genres of contents.

13. The apparatus of claim 8 , wherein the operations further comprise selecting content offerings associated with the one of the favorite genres of contents.

14. The apparatus of claim 8 , wherein the operations further comprise selecting content offerings associated with the favorite genres of contents.

15. A memory device storing instructions that when executed cause a hardware processor to perform operations, the operations comprising:

determining favorite genres of contents based on habitual content selections;

generating an electronic table that electronically associates the favorite genres of contents according to time;

receiving a request that specifies a time of day;

querying the electronic table for the time of day specified in the request;

determining that the electronic table lacks an entry for the time of day specified by the request;

selecting any one of the favorite genres of contents from the electronic table in response to the electronic table lacking the entry for the time of day specified in the request;

determining a program associated with the any one of the favorite genres of contents selected from the electronic table;

selecting a related program that is related to the program associated with the any one of the favorite genres of contents selected from the electronic table; and

generating a suggestion as a response to the request specifying the time of day, the suggestion specifying a title of the related program associated with the any one of the favorite genres of contents selected from the electronic table.

16. The memory device of claim 15 , wherein the operations further comprise generating a programming guide.

17. The memory device of claim 15 , wherein the operations further comprise generating a programming guide based on the favorite genres of contents.

18. The memory device of claim 15 , wherein the operations further comprise displaying the favorite genres of contents as the response to the request.

19. The memory device of claim 15 , wherein the operations further comprise selecting multiple content offerings associated with the any one of the favorite genres of contents.

20. The memory device of claim 15 , wherein the operations further comprise selecting content titles associated with the any one of the favorite genres of contents.

Assignments (5)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 11, 2016
From: SILVER, EDWARD MICHAEL; ROBERTS, LINDA ANN
To: BELLSOUTH INTELLECTUAL PROPERTY CORPORATION
Reel/Frame 039405/0268 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 11, 2016
From: AT&T DELAWARE INTELLECTUAL PROPERTY, INC.
To: AT&T INTELLECTUAL PROPERTY I, L.P.
Reel/Frame 039405/0365 →
CHANGE OF NAME Recorded Aug 11, 2016
From: BELLSOUTH INTELLECTUAL PROPERTY CORPORATION
To: AT&T INTELLECTUAL PROPERTY, INC.
Reel/Frame 039646/0762 →
CHANGE OF NAME Recorded Aug 11, 2016
From: AT&T INTELLECTUAL PROPERTY, INC.
To: AT&T BLS INTELLECTUAL PROPERTY, INC.
Reel/Frame 039646/0765 →
CHANGE OF NAME Recorded Aug 11, 2016
From: AT&T BLS INTELLECTUAL PROPERTY, INC.
To: AT&T DELAWARE INTELLECTUAL PROPERTY, INC.
Reel/Frame 039646/0775 →
Continuity (5)
Continuation 14737638 · Jun 12, 2015
Continuation 14280709 · May 19, 2014
Continuation 13848081 · Mar 21, 2013
Continuation 09955217 · Sep 19, 2001
Related Publication 20160353179A1 · Dec 1, 2016