Methods and systems for recommending media content

• US 10,097,648 B2
• Filed: 02/27/2015
• Issued: 10/09/2018
• Est. Priority Date: 02/27/2015
• Status: Active Grant

• Current Assignee: Rovi Guides, Inc. (Adeia Inc.)
• Original Assignee: Rovi Guides, Inc. (Adeia Inc.)
• Inventors: Stathacopoulos, Paul, Maughan, Benjamin
• Primary Examiner(s): Vostal, O. C.
• Application Number:
  US14/634,640
• Publication Number:
  US 20160255163A1
• Time in Patent Office: 1,320 Days
• Field of Search: 709224
• CPC Class Codes: G06Q 10/00 Administration; Management
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: H04L 51/214 using selective forwarding
• CPC Class Codes: H04L 51/52 for supporting social networking services
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34

Abstract

Methods and systems are disclosed herein for a media guidance application that provides diverse and reliable media content suggestions. Specifically, the media guidance application may monitor user preferences of a select group of friends of the user and base media recommendations on those user preferences. The media guidance application may determine close friends of the user, such as friends that a user regularly communicates with, and include recommendations on the media preferences of only those close friends.

Claims

1. A method of recommending media content, the method comprising:

storing, in a database, a record of a social media network contact;

monitoring electronic communications exchanged between a user and a social media network contact, wherein the electronic communications are sent by the user to the social media network contact and received by the user from the social media network contact;

storing, in the database, a closeness metric corresponding to the social media network contact, wherein the closeness metric quantifies an amount of electronic communications exchanged between the user and the social media network contact, and wherein the electronic communications comprise e-mail messages, text messages, multimedia messages, and social media messages;

retrieving a recommendation threshold from the database;

comparing the closeness metric to the recommendation threshold; and

in response to determining that the closeness metric exceeds the recommendation threshold;

identifying content accessed by the social media network contact to determine a preference of the social media network contact;

automatically updating, in-real time, a media content recommendation based on the preference of the social media network contact determined based on the content accessed by the social media network contact; and

generating for display to the user who exchanged communications with the social media network contact, on a display device, the media content recommendation.

2. The method of claim 1, wherein monitoring the electronic communications exchanged between the user and the social media network contact comprises monitoring the electronic communications exchanged between a first social media network profile, corresponding to the user, and a second social media network profile, corresponding to the social media network contact.

3. The method of claim 1, wherein the electronic communications further comprise microblog posts and posts to a social network website page.

4. The method of claim 1, further comprising, cross-referencing the record of the social media network contact with a database listing preferences of social media network contacts to determine the preference of the social media network contact.

5. The method of claim 1, further comprising, in response to detecting an electronic communication between the user and the social media network contact, increasing the closeness metric.

6. The method of claim 1, further comprising, in response to failing to detect an electronic communication between the user and the social media network contact during a predetermined time period, decreasing the closeness metric.

7. The method of claim 1, wherein the amount of electronic communications exchanged between the user and the social media network contact is based on the number of the electronic communications exchanged between the user and the social media network contact or a length of time corresponding to the electronic communications exchanged between the user and the social media network contact.

8. The method of claim 1, wherein the amount of electronic communications exchanged between the user and the social media network contact is based on the number of different types of the electronic communications exchanged between the user and the social media network contact.

9. The method of claim 1, wherein the amount of electronic communications exchanged between the user and the social media network contact is based on the frequency of the electronic communications exchanged between the user and the social media network contact.

10. The method of claim 9, wherein the frequency of the electronic communications exchanged between the user and the social media network contact is relative to the frequency of electronic communications exchanged between the user and other social media network contacts.

11. A system of recommending media content, the system comprising:

storage circuitry configured to store a record of a social media network contact; and

control circuitry configured to;

monitor electronic communications exchanged between a user and the social media network contact, wherein the electronic communications are sent by the user to the social media network contact and received by the user from the social media network contact;

determine a closeness metric corresponding to the social media network contact, wherein the closeness metric quantifies an amount of electronic communications exchanged between the user and the social media network contact, and wherein the electronic communications comprise e-mail messages, text messages, multimedia messages, and social media messages;

retrieve a recommendation threshold from a database;

compare the closeness metric to the recommendation threshold; and

if the closeness metric exceeds the recommendation threshold;

identify content accessed by the social media network contact to determine a preference of the social media network contact;

automatically update, in-real time, a media content recommendation based on the preference of the social media network contact determined based on the content accessed by the social media network contact; and

generate for display to the user who exchanged communications with the social media network contact, on a display device, the media content recommendation.

12. The system of claim 11, wherein the control circuitry is further configured to monitor the electronic communications exchanged between the user and the social media network contact, wherein the electronic communications are exchanged between a first social media network profile, corresponding to the user, and a second social media network profile, corresponding to the social media network contact.

13. The system of claim 11, wherein the electronic communications further comprise microblog posts and posts to a social network website page.

14. The system of claim 11, wherein the control circuitry is further configured to cross-reference the record of the social media network contact with a database listing preferences of social media network contacts to determine the preference of the social media network contact.

15. The system of claim 11, wherein the control circuitry is further configured to increase the closeness metric in response to detecting an electronic communication between the user and the social media network contact.

16. The system of claim 11, wherein the control circuitry is further configured to decrease the closeness metric in response to failing to detect an electronic communication between the user and the social media network contact during a predetermined time period.

17. The system of claim 11, wherein the closeness metric quantifies the number of the electronic communications exchanged between the user and the social media network contact or a length of time corresponding to the electronic communications exchanged between the user and the social media network contact.

18. The system of claim 11, wherein the amount of electronic communications exchanged between the user and the social media network contact is based on the number of different types of the electronic communications exchanged between the user and the social media network contact.

19. The system of claim 11, wherein the amount of electronic communications exchanged between the user and the social media network contact is based on the frequency of the electronic communications exchanged between the user and the social media network contact.

20. The system of claim 19, wherein the frequency of the electronic communications exchanged between the user and the social media network contact is relative to the frequency of electronic communications exchanged between the user and other social media network contacts.