Providing intelligent content recommendations to groups of people

Patent metadata

Field	Value
Publication number	US-10959059-B1
Application number	US-201916654376-A
Country	US
Kind code	B1
Filing date	Oct 16, 2019
Priority date	Oct 16, 2019
Publication date	Mar 23, 2021
Grant date	Mar 23, 2021

Abstract

Aspects of the invention include providing intelligent content recommendations to groups of people. A non-limiting example computer-implemented method includes identifying, by a processor, the presence of a plurality of users in a location. The method creates a virtual user with a virtual user profile, by the processor, from profiles of the plurality of users and provides, by the processor, a recommendation to the plurality of users of content to consume based on the virtual user's profile. The method serves, by the processor, the recommended content.

First claim

What is claimed is:

1. A computer-implemented method comprising:
identifying, by a processor, the presence of a plurality of users in a location, the plurality of users comprising a first user and a second user, wherein the identifying the presence of the plurality of users in the location comprises at least one of:
receiving a code associated with each user in the plurality of users, the code indicating an identify of each user; and
receiving facial recognition data associated with each user in the plurality of users;

creating a virtual user with a virtual user profile, by the processor, from profiles of the plurality of users, wherein the virtual user profile is created based on a weighted union of the profiles of each user in the plurality of users, wherein the profiles of each user in the plurality of users comprises content that the plurality of users have consumed;
determining that the second user is a special user based on the profiles of each user in the plurality of users, wherein the profile for the second user comprises a higher weight than the profile for first user based on the determination that second user is a special user;
providing, by the processor, a recommendation to the plurality of users of content to consume based on the virtual user's profile; and
serving, by the processor, the recommended content.

2. The method of claim 1 , comprising updating the profiles of the plurality of users with a notation of the content consumed.

3. The method of claim 1 , comprising updating the profile of the virtual user with a notation of the content consumed.

4. The method of claim 1 wherein the recommendation is provided through analysis of metadata within the virtual user's profile.

5. The method of claim 1 , wherein the recommendation is provided when a confidence level of the recommendation exceeds a threshold amount.

6. The computer-implemented method of claim 1 , wherein the content comprises a class history.

7. The computer-implemented method of claim 6 , wherein the special user comprises a teacher of at least one class in the class history.

8. The computer-implemented method of claim 1 , wherein the content comprises at least one of music and movies.

9. A system comprising:
a memory having computer readable instructions; and
one or more processors for executing the computer readable instructions, the computer readable instructions controlling the one or more processors to perform operations comprising:
identifying the presence of a plurality of users in a location, the plurality of users comprising a first user and a second user, wherein the identifying the presence of the plurality of users in the location comprises at least one of:
receiving a code associated with each user in the plurality of users, the code indicating an identify of each user; and
receiving facial recognition data associated with each user in the plurality of users;
creating a virtual user with a virtual user profile from profiles of the plurality of users, wherein the virtual user profile is created based on a weighted union of the profiles of each user in the plurality of users, wherein the profiles of each user in the plurality of users comprises content that the plurality of users have consumed;
determining that the second user is a special user based on the profiles of each user in the plurality of users, wherein the profile for the second user comprises a higher weight than the profile for first user based on the determination that second user is a special user;
providing a recommendation to the plurality of users of content to consume based on the virtual user's profile; and
serving the recommended content.

10. The system of claim 9 , comprising updating the profiles of the plurality of users with a notation of the content consumed.

11. The system of claim 9 , comprising updating the profile of the virtual user with a notation of the content consumed.

12. The system of claim 9 wherein the recommendation is provided through analysis of metadata within the virtual user's profile.

13. The system of claim 9 wherein the recommendation is provided when a confidence level of the recommendation exceeds a threshold amount.

14. A computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to perform operations comprising:
identifying the presence of a plurality of users in a location, the plurality of users comprising a first user and a second user, wherein the identifying the presence of the plurality of users in the location comprises at least one of:
receiving a code associated with each user in the plurality of users, the code indicating an identify of each user; and

receiving facial recognition data associated with each user in the plurality of users;
creating a virtual user with a virtual user profile from profiles of the plurality of users, wherein the virtual user profile is created based on a weighted union of the profiles of each user in the plurality of users, wherein the profiles of each user in the plurality of users comprises content that the plurality of users have consumed;
determining that the second user is a special user based on the profiles of each user in the plurality of users, wherein the profile for the second user comprises a higher weight than the profile for first user based on the determination that second user is a special user;
providing a recommendation to the plurality of users of content to serve based on the virtual user's profile; and
serving the recommended content.

15. The computer program product of claim 14 , comprising updating the profiles of the plurality of users with a notation of the content consumed.

16. The computer program product of claim 14 , comprising updating the profile of the virtual user with a notation of the content consumed.

17. The computer program product of claim 14 , wherein the recommendation is provided through analysis of metadata within the virtual user's profile.

Assignees

• IBM

Inventors

• Wyble Christopher D
• Mostachetti Peter J
• Young Michael J
• Main Brian C

Classifications

• H04L67/53

  using third party service providers · CPC title

• H04L67/535

  Tracking the activity of the user (network monitoring arrangements H04L43/00; recording of computer activity G06F11/34) · CPC title

• H04L67/306

  User profiles · CPC title

• H04L67/10

  in which an application is distributed across nodes in the network (software deployment G06F8/60; multiprogramming arrangements G06F9/46) · CPC title

• G06F16/9536

  Search customisation based on social or collaborative filtering · CPC title