Bargain Value Determination of Discounted Content

Number: 20200184507
Published: 2020-06-11
Filed: 2019-12-04
Assignee: Disney Enterprises, Inc.
Inventors: Shurgot; Mark A., Zhou; Jing, Saghian; Lena, Fahimullah; Adeel, Simon; Jason E.
CPC: G06Q30/0239; G06Q20/387; G06Q20/0855; G06Q30/0201; G06Q20/123; G06Q20/12
Verdict: Set aside pricing/business method
Source: Google Patents · FreePatentsOnline

Abstract

A system for determining the bargain value of discounted content includes a computing platform having a hardware processor and a system memory storing a software code providing a graphical user interface (GUI). The hardware processor executes the software code to identify multiple discounted content units, and for each content unit of the multiple discounted content units: determine a popularity score of the content unit, determine a discount score of the content unit, and determine a deal score for the content unit based on the popularity score and the discount score of the content unit. The hardware processor is also configured to execute the software code to generate a ranking of the multiple discounted content units based on the deal score of each of the discounted content units, and present the generated ranking of the multiple discounted content units via the GUI.

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, 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. One technique used by retailers to encourage consumers to explore content that is new, unfamiliar, or identified as having limited popularity is to temporarily make such content available at a discounted price. Nevertheless, the actual bargain proposition represented by discounted content may depend on one or more factors in addition to price reduction, such as popularity of the content with other consumers. Moreover, the actual price discount available to a consumer may vary substantially from one retailer to another.

In a conventional online search for discounted content, such as movies for example, a consumer seeking to purchase a movie at a good bargain must typically visit the website of each retailer to compare prices. In addition, the consumer may have to navigate to an entirely different movie rating site to ascertain the pop

Claims

1. A system comprising: a computing platform having a hardware processor and a system memory; a software code stored in the system memory, the software code providing a graphical user interface (GUI); the hardware processor being configured to execute the software code to: identify a plurality of discounted content units; for each of a content unit of the plurality of discounted content units: determine a popularity score of the content unit; determine a discount score of the content unit; and determine a deal score for the content unit based on the popularity score and the discount score of the content unit; generate a ranking of the plurality of discounted content units based on the deal score of each of the plurality of discounted content units; and present the generated ranking of the plurality of discounted content units via the GUI. 11. A method for use by a system including a computing platform having a hardware processor and a system memory, the system memory storing a software code providing a graphical user interface (GUI), the method comprising: identifying, by the software code executed by the hardware processor, a plurality of discounted content units; for each of a content unit of the plurality of discounted content units: determining, by the software code executed by the hardware processor, a popularity score of the content unit; determining, by the software code executed by the hardware processor, a discount score of the content unit; and determining, by the software code executed by the hardware processor, a deal score for the content unit based on the popularity score and the discount score of the content unit; generating, by the software code executed by the hardware processor, a ranking of the plurality of discounted content units based on the deal score of each of the plurality of discounted content units; and presenting, by the software code executed by the hardware processor, the generated ranking of the plurality of discounted content units via the GUI.