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.
TECHNICAL FIELD(1) The present disclosure relates generally to media content recommendation.DESCRIPTION OF THE RELATED ART(2) Broadcasting can refer to the distribution of media content (e.g., audio, video, etc.) to a dispersed audience via some mass communications medium. The mass communications medium may be a cable network, a data network, radio waves, and the like. Digital distribution can refer to the delivery of media content without the use of physical media. Digital distribution has become popular due to advances in computer networking and communication technologies.BRIEF SUMMARY OF THE DISCLOSURE(3) In accordance with one embodiment of the present disclosure, a computer-implemented method comprises determining a first location of a first user device associated with a first user, and determining a second location of a second user device associated with a second user. The computer-implemented method may further comprise 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, the method comprises binding a first media content library associated with the first user and a second media content library associated with the second user. Further still, the method comprises 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
1. A computer-implemented method, comprising: determining a first location of a first user device associated with a first 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 of the 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 proximate to each other, active and passive input comprising one or more media content-related user preferences 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 are associated with different media content providers; and output at least one recommendation for the one or more media contents based upon the at least one of common and related aspects.