Automated Content Recommendation Using a Metadata Based Content Map

Number: 20200077151
Published: 2020-03-05
Filed: 2019-02-13
Assignee: Disney Enterprises, Inc.
Inventors: Swerdlow; Avner, Anderson; Samuel C., Accardo; Anthony M.
CPC: H04N21/4312; H04N21/4668; G06F16/74; H04N21/252; G06F16/9024; H04N21/4532; G06F16/9535; G06F16/735; H04N21/25891; G06F16/738; H04N21/4662; H04N21/441; H04N21/44222; G06F16/9038
Verdict: Set aside content recommendation, business
Source: Google Patents · FreePatentsOnline

Abstract

A content recommendation system includes a computing platform having a hardware processor and a system memory storing a content surfacing software code providing a user interface. The hardware processor executes the content surfacing software code to receive an initiation signal identifying a user, and, in response, identify content items as desirable content items to the user based on the user and metadata describing each of the desirable content items. In addition, the content surfacing software code generates a networked map of nodes corresponding respectively to the desirable content items, where the distances between nodes are based on the similarity of the metadata describing the desirable content items corresponding to the nodes. The content surfacing software code further outputs the networked map for display to the user via the user interface, the nodes being displayed as thumbnail images depicting the desirable content and selectable by the user.

Background

BACKGROUND

Media content in the form of movie content and television (TV) programming content, for example, is consistently sought out and enjoyed by consumers. Nevertheless, the popularity of a particular item or items of such content, for example, a particular movie, TV series, or even a specific TV episode can vary widely. In some instances, that variance in popularity may be due to fundamental differences in personal taste amongst consumers. However, in other instances, the lack of consumer interaction with content may be due less to its inherent undesirability to those consumers than to their lack of familiarity with or reluctance to explore the content. Due to the resources often devoted to developing new content, the efficiency and effectiveness with which content likely to be desirable to consumers can be surfaced and identified to those consumers has become increasingly important to producers, owners, and distributors of media content.SUMMARY

There are provided systems and methods for content recommendation using a metadata based content map, substantially as shown in and/or described in connection with at least one of the figures, and as set forth more completely in the claims.

Claims

1. A content recommendation system comprising: a computing platform including a hardware processor and a system memory; a content surfacing software code stored in the system memory, the content surfacing software code providing a user interface; the hardware processor configured to execute the content surfacing software code to: receive an initiation signal identifying a user; in response to receiving the initiation signal, identify a plurality of content items as desirable content items to the user based on the user and metadata describing each of the desirable content items; generate a networked map of nodes corresponding respectively to the desirable content items, wherein a distance between a first node and a second node of the networked map is based on a similarity of a first metadata describing a first desirable content item corresponding to the first node to a second metadata describing a second desirable content item corresponding to the second node; and output the networked map for display to the user via the user interface, wherein the nodes of the networked map are displayed as respective thumbnail images depicting the desirable content items corresponding respectively to each node and selectable by the user. 11. A method for use by a content recommendation system including a computing platform having a hardware processor and a system memory storing a content surfacing software code providing a user interface, the method comprising: receiving, using the hardware processor and the content surfacing software code, an initiation signal identifying a user; identifying in response to receiving the initiation signal, using the hardware processor and the content surfacing software code, a plurality of content items as desirable content items to the user based on the user and metadata describing each of the desirable content items; generating, using the hardware processor and the content surfacing software code, a networked map of nodes corresponding respectively to the desirable content items, wherein a distance between a first node and a second node of the networked map is based on a similarity of a first metadata describing a first desirable content item corresponding to the first node to a second metadata describing a second desirable content item corresponding to the second node; and outputting, using the hardware processor and the content surfacing software code, the networked map for display to the user via the user interface, wherein the nodes of the networked map are displayed as respective thumbnail images depicting the desirable content items corresponding respectively to each node and selectable by the user.