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KR-102961394-B1 - APPARATUS AND METHOD FOR PREDICTING RENTAL/PRODUCTION CONTENTS

KR102961394B1KR 102961394 B1KR102961394 B1KR 102961394B1KR-102961394-B1

Abstract

An apparatus and method for predicting content rental/production are disclosed. A content rental/production prediction method according to one aspect of the present invention is characterized by comprising: a step in which a processor selects similar content from among previously registered content based on metadata of the need content; a step in which the processor predicts a demand score of the need content based on sales and learning data of the similar content; a step in which the processor predicts revenue of the need content when the demand score is greater than or equal to a reference score; and a step in which the processor calculates a cost-benefit ratio based on the predicted revenue of the need content and determines whether to rent/produce the need content.

Inventors

  • 임준철
  • 오은미

Assignees

  • (주)유밥

Dates

Publication Date
20260512
Application Date
20250117

Claims (13)

  1. A step in which a processor selects similar content from among previously registered content based on the metadata of the needs content; The above processor predicts a demand score for the needs content based on sales and learning data of the similar content; The above processor predicts the revenue of the needs content when the demand score is greater than or equal to a reference score; and The above processor includes the step of calculating a Cost-Benefit Ratio based on the revenue of the predicted needs content and determining whether to rent or produce the needs content; In the step of determining whether to rent or produce the above-mentioned needs content, The processor calculates the average of the rental costs of the similar content as the rental cost of the needs content, and calculates the average of the production costs of the similar content as the production cost of the needs content. In the step of determining whether to rent or produce the above-mentioned needs content, The processor calculates the rental cost/revenue and production cost/revenue of the needs content using the cost-revenue ratio, compares the rental cost/revenue and production cost/revenue to determine whether to rent or produce the needs content, In the step of determining whether to rent or produce the above-mentioned needs content, A content rental/production prediction method characterized by the processor setting the period during which the amount of learning in the demand forecasting model falls below a preset threshold value as the rental period when it is decided to rent the above-mentioned needs content.
  2. In paragraph 1, In the step of selecting the aforementioned similar content, A content rental/production prediction method characterized by the processor selecting, based on the metadata, among the registered contents, contents whose similarity score is greater than or equal to a preset threshold score as similar content.
  3. In paragraph 1, In the step of predicting the demand score of the above-mentioned needs content, A content rental/production prediction method characterized by the processor inputting sales and learning data of similar content over a recent period into a demand prediction model to predict the demand score.
  4. In paragraph 3, In the step of predicting revenue from the above-mentioned needs content, A content rental/production prediction method characterized by the processor inputting sales and learning data of similar content over a recent period into the demand prediction model to predict revenue.
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  6. In paragraph 1, In the step of determining whether to rent or produce the above-mentioned needs content, A content rental/production prediction method characterized by the processor deciding to produce the needs content when the rental cost/revenue is greater than the production cost/revenue, and deciding to rent the needs content when the production cost/revenue is greater than the rental cost/revenue.
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  8. Memory; communication module; and A processor connected to the above memory and communication module, comprising: The above processor is, When a request signal for determining whether to rent or produce content, including metadata of the needs content, is received from an administrator terminal through the communication module, similar content is selected from among previously registered content based on the metadata, and a demand score for the needs content is predicted based on the sales and learning data of the similar content, and if the demand score is greater than or equal to a reference score, the revenue of the needs content is predicted, and a Cost-Benefit Ratio is calculated based on the predicted revenue of the needs content to determine whether to rent or produce the needs content. The above processor is, The average of the rental costs of the aforementioned similar contents is calculated as the rental cost of the aforementioned needs content, and the average of the production costs of the aforementioned similar contents is calculated as the production cost of the aforementioned needs content, Calculate the rental cost/revenue and production cost/revenue of the above-mentioned needs content using the above-mentioned cost-revenue ratio, and determine whether to rent or produce the above-mentioned needs content by comparing the above-mentioned rental cost/revenue and production cost/revenue. A content rental/production prediction device characterized by setting the period during which the amount of learning in the demand forecasting model falls below a preset threshold value as the rental period when it is decided to rent the above-mentioned needs content.
  9. In paragraph 8, The above processor is, A content rental/production prediction device characterized by selecting as similar content among the registered content that the similarity score is equal to or greater than a preset threshold score based on the above metadata.
  10. In paragraph 8, The above processor is, A content rental/production prediction device characterized by inputting sales and learning volume data of the aforementioned similar content over a recent period into a demand prediction model to predict at least one of the demand score and the revenue.
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  12. In paragraph 8, The above processor is, A content rental/production prediction device characterized by deciding to produce the above-mentioned needs content when the above-mentioned rental cost/revenue is greater than the production cost/revenue, and deciding to rent the above-mentioned needs content when the above-mentioned production cost/revenue is greater than the rental cost/revenue.
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Description

Apparatus and Method for Predicting Rental/Production Contents The present invention provides a content rental/production prediction device and method that can determine the suitability of rental and production by analyzing the demand for content over the long term. With the recent rapid growth of the digital content market, decision-making regarding content production and leasing is becoming increasingly important. It is essential to accurately forecast demand and make optimal decisions based on it during the process of producing or leasing content. Traditionally, the analysis of content demand has primarily relied on short-term sales data. For instance, this approach forecasts demand by focusing solely on revenue performance immediately following a sale or rental. While this method can reflect temporary sales patterns or trends, it has limitations in that it fails to account for changes in content demand from a long-term perspective. For instance, content may initially show low demand but build a fanbase and generate long-term revenue over time. Consequently, relying solely on short-term sales data makes it difficult to evaluate the suitability of content rental or production. The background technology of the present invention is disclosed in Korean Registered Patent Publication No. 10-2263691 (June 11, 2021). FIG. 1 is a block diagram schematically illustrating a content rental/production prediction device according to one embodiment of the present invention. FIG. 2 is a flowchart illustrating a content rental/production prediction method according to one embodiment of the present invention. Hereinafter, a content rental/production prediction device and method according to an embodiment of the present invention will be described with reference to the attached drawings. In this process, the thickness of lines or the size of components shown in the drawings may be exaggerated for clarity and convenience of explanation. Additionally, the implementations described herein may be implemented, for example, as methods or processes, devices, software programs, data streams, or signals. Even if discussed only in the context of a single form of implementation (e.g., discussed only as a method), implementations of the discussed features may also be implemented in other forms (e.g., devices or programs). Devices may be implemented in appropriate hardware, software, and firmware, etc. Methods may be implemented in devices such as processors, which generally refer to processing devices including, for example, computers, microprocessors, integrated circuits, or programmable logic devices. Processors also include communication devices such as computers, cell phones, portable/personal digital assistants ("PDAs"), and other devices that facilitate the communication of information between end-users. Furthermore, the terms used in this specification are used merely to describe specific embodiments and are not intended to limit the invention. Singular expressions include plural expressions unless the context clearly indicates otherwise. In this application, terms such as "comprising" or "having" are intended to indicate the existence of the features, numbers, steps, actions, components, parts, or combinations thereof described in the specification, and should be understood as not precluding the existence or addition of one or more other features, numbers, steps, actions, components, parts, or combinations thereof. Terms such as "first," "second," etc., may be used to describe various components, but the components should not be limited by these terms. These terms are used solely for the purpose of distinguishing one component from another. Hereinafter, embodiments according to the present invention will be described in detail with reference to the attached drawings. In describing with reference to the attached drawings, identical or corresponding components are given the same reference numerals, and redundant descriptions thereof will be omitted. The content described below may include concepts such as learning content, lectures, learning processes, etc. FIG. 1 is a block diagram schematically illustrating a content rental/production prediction device according to one embodiment of the present invention. Referring to FIG. 1, a content rental/production prediction device (100) according to one embodiment of the present invention includes a communication module (110), a memory (120), a database (130), and a processor (140). The communication module (110) may provide a communication interface necessary to provide transmission and reception signals between the content rental/production prediction device (100) and an external device (e.g., a manager terminal) in the form of packet data by linking with a communication network. Furthermore, the communication module (110) may receive a request signal from the manager terminal to determine whether to rent/produce content and transmit information regarding whether to rent/produce the n