US2021274007A1PendingUtilityA1
Methods and systems for recommending media content
Est. expiryFeb 27, 2035(~8.6 yrs left)· nominal 20-yr term from priority
G06Q 10/40G06Q 10/00H04L 51/52H04L 51/214H04L 67/535H04L 51/14H04L 51/32H04L 67/22G06Q 50/01G06Q 10/42
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Claims
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
exact text as granted — not AI-modified1 - 50 . (canceled)
51 . A method of recommending media content, the method comprising:
storing, in a database, a closeness metric corresponding to a social media network contact of a user, wherein the closeness metric is based on a number of mutual friends between the user and the social media network contact; retrieving a recommendation threshold from the database; automatically adjusting the recommendation threshold based on one from the group of: the number of mutual friends and a predetermined recommendation threshold; comparing the closeness metric to the adjusted recommendation threshold; and in response to determining that the closeness metric exceeds the adjusted recommendation threshold, transmitting, to a display device, a media content recommendation based on a determined preference of the social media network contact.
52 . The method of claim 51 , further comprising determining a value of the closeness metric based on the number of mutual friends.
53 . The method of claim 51 , wherein the recommendation threshold is a minimum value of the closeness metric for generating media content recommendations.
54 . The method of claim 51 , wherein the predetermined recommendation threshold is one of a plurality of predetermined recommendation thresholds.
55 . The method of claim 51 , further comprising storing, in the database, a record of the social media network contact.
56 . The method of claim 55 , 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.
57 . The method of claim 51 , further comprising:
accessing media interests posted on a social media profile of the social media network contact; and determining the preference of the social media network contact based on the posted media interests.
58 . The method of claim 51 , further comprising:
accessing a media consumption history of the social media network contact; and determining the preference of the social media network contact based on the media consumption history of the social media network contact.
59 . The method of claim 51 , further comprising:
accessing content posted on a social media profile of the social media network contact; determining whether the content posted on the social media profile of the social media network contact is related to media content; in response to determining that the content posted on the social media profile of the social media network contact is related to media content, determining a characteristic of the media content; and determining the preference of the social media network contact based on the characteristic of the media content.
60 . The method of claim 51 , further comprising:
accessing an electronic communication between the social media network contact and the user; determining whether the electronic communication includes a reference to media content; in response to determining that the electronic communication includes a reference to media content, determining a characteristic of the media content; and determining the preference of the social media network contact based on the characteristic of the media content.
61 . A system for recommending media content, the system comprising:
control circuitry; and a memory storing instructions, which when executed by the control circuitry, cause the control circuitry to:
store, in a database, a closeness metric corresponding to a social media network contact of a user, wherein the closeness metric is based on a number of mutual friends between the user and the social media network contact;
retrieve a recommendation threshold from the database
automatically adjust the recommendation threshold based on one from the group of: the number of mutual friends and a predetermined recommendation threshold;
compare the closeness metric to the adjusted recommendation threshold; and
in response to determining that the closeness metric exceeds the adjusted recommendation threshold, transmit, to a display device, a media content recommendation based on a determined preference of the social media network contact.
62 . The system of claim 61 , wherein the instructions, when executed by the control circuitry, further cause the control circuitry to determine a value of the closeness metric based on the number of mutual friends.
63 . The system of claim 61 , wherein the recommendation threshold is a minimum value of the closeness metric for generating media content recommendations.
64 . The system of claim 61 , wherein the predetermined recommendation threshold is one of a plurality of predetermined recommendation thresholds.
65 . The system of claim 61 , wherein the instructions, when executed by the control circuitry, further cause the control circuitry to, in the database, a record of the social media network contact.
66 . The system of claim 65 , wherein the instructions, when executed by the control circuitry, further cause the control circuitry 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.
67 . The system of claim 61 , wherein the instructions, when executed by the control circuitry, further cause the control circuitry to:
access media interests posted on a social media profile of the social media network contact; and determine the preference of the social media network contact based on the posted media interests.
68 . The system of claim 61 , wherein the instructions, when executed by the control circuitry, further cause the control circuitry to:
access a media consumption history of the social media network contact; and determine the preference of the social media network contact based on the media consumption history of the social media network contact.
69 . The system of claim 61 , wherein the instructions, when executed by the control circuitry, further cause the control circuitry to:
access content posted on a social media profile of the social media network contact; determine whether the content posted on the social media profile of the social media network contact is related to media content; in response to determining that the content posted on the social media profile of the social media network contact is related to media content, determine a characteristic of the media content; and determine the preference of the social media network contact based on the characteristic of the media content.
70 . The system of claim 61 , wherein the instructions, when executed by the control circuitry, further cause the control circuitry to:
access an electronic communication between the social media network contact and the user; determine whether the electronic communication includes a reference to media content; in response to determining that the electronic communication includes a reference to media content, determine a characteristic of the media content; and determine the preference of the social media network contact based on the characteristic of the media content.Join the waitlist — get patent alerts
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