Systems and methods for generating and outputting personalized content recommendations are provided. When it is determined that two or more users are in close proximity to each other, the two or more users' respective media content libraries may be compared. Commonalities or related aspects of the two or more users' respective media content libraries can be determined and leveraged to generated personalized content recommendations.
BRIEF DESCRIPTION OF THE DRAWINGS
The present disclosure, in accordance with one or more various embodiments, is described in detail with reference to thefollowing figures. The figures are provided for purposes of illustration only and merely depict typical or example embodiments.
FIG. 1A is an operational flow diagram illustrating an example process for personalized content recommendations in accordance with various embodiments.
FIG. 1B is an operational flow diagram illustrating an example process for receiving inputs and generating outputs for personalized content recommendations in accordance with various embodiments.
FIG. 2A illustrates an example environment inwhich various embodiments may be implemented.
FIG. 2B illustrates an example user device utilized in providing personalized content recommendations in accordance with various embodiments.
FIG. 2C illustrates an example GUI used for presenting and/or interacting with personalized content recommendations in accordance with various embodiments.
FIG. 3 illustrates an example communications system with which various embodiments may be implemented.
FIG. 4 is an example computing module that may be used to implement various features of embodiments described in the present disclosure.
The figures arenot exhaustive and do not limit the present disclosure to the precise form disclosed.DETAILED DESCRIPTION
As previously discussed, digital distribution has become
1. A computer-implementedmethod, comprising: determining a first location of a first user device associated with afirst user; determining a second location of a second user device associated with a second user; determining whether the first location of the first user device is proximate to the second location of the second user device; upon a determination that the first and second locations are proximate to each other, binding a first media content library associated with the first user and a second media content library associated with the second user; determining a relationship between one or more media contents included in the first media content library and one or more media contents included in the second media content library;and without first or second user input regarding user content preferences, providing a recommendation of at least one of the one or more media contents included in at least one ofthe first and second media content libraries to consume based upon the determined relationship.
11. A server, comprising: a processor; and a memory unit operatively connected to the processor including computer code adapted to cause the processor to: receive at least one of active and passive input from a plurality of users proximate to each other, wherein at least two of the plurality of users transmit the at least one of active and passive input from respective user devices operatively connected to the server over different communication networks; receive temporal input indicative of a current time and environmental input indicative of an environment in which the plurality of users are currently present; determine at least one of common and related aspects of the at least one of the active and passive inputs, and the temporal and environmental inputs relative to one or more media contents comprising respective media libraries of each of the plurality of users; and output at least one recommendation for the one or more media contents based upon the at least one of common and related aspects.
14. A server, comprising: a processor; and a memory unit operatively connected to the processor including computer code adapted to cause the processor to: receive at least one of active and passive input from a plurality of users proximateto each other, active and passive input comprising one or more media content-related userpreferences and historical content consumption information; receive temporal input indicative of a current time and environmental input indicative of an environment in which the plurality of users are currently present; determine at least one of common and related aspects of the at least one of the active and passive inputs, and the temporal and environmental inputs relative to one or more media contents comprising respective media libraries of each of the plurality of users, wherein at least two of the respective media libraries areassociated with different media content providers; and output at least one recommendationfor the one or more media contents based upon the at least one of common and related aspects.