SYSTEM AND METHOD FOR PROXIMITY-BASED PERSONALIZED CONTENT RECOMMENDATIONS

Number: 20170199874
Published: 2017-07-13
Filed: 2016-01-13
Assignee: Disney Enterprises, Inc.
Inventors: PATEL; MEHUL et al.
CPC: H04W4/023; G06F16/487; G06F16/438
Verdict: Set aside proximity-based personalized content recommendations (PGPUB)
Source: Google Patents · FreePatentsOnline

Abstract

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.

Background

BRIEF DESCRIPTION OF THE DRAWINGS

The present disclosure, in accordance with one or more various embodiments, is described in detail with reference to the following 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 environmentin which 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 are not exhaustive and do not limit the present disclosure to the precise form disclosed.DETAILED DESCRIPTION

As previously discussed, digital distribution has become

Claims

1. A computer-implemented method, comprising: determining a first location of a first user device associated with a first user; determining asecond 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 one or more media content-related characteristics regarding the first and second users; determining a relationship between the first and second users based upon the one or more media content-related characteristics; and without first or second user input regarding user content preferences, providing a recommendation of media content toconsume based upon the determined relationship. 14. An apparatus, comprising: a processor; and a memory unit operatively connected to the processor including computer code adaptedto 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; and output at least one recommendation for the one or more media contents based upon the at least one of common and related aspects.