KR101985852B1 - Apparatus of estimating game property and operating method of thereof - Google Patents

Abstract

Disclosed is a game property value estimation apparatus. According to an embodiment, an operation method of the game property value estimation apparatus comprises the following steps of: grasping growth information on a game character of a game user; determining a group of the game user of a plurality of groups based on the grasped growth information; collecting change information on at least one game property of the game user; and estimating a value of the game property in the determined group based on the collected change information.

Description

Apparatus for estimating game goods value and its operation method {APPARATUS OF ESTIMATING GAME PROPERTY AND OPERATING METHOD OF THEREOF}

The following examples relate to the estimation of game goods value.

In mobile games, inflation or deflation by game goods occurs as the service period continues, so the value of the goods felt by each user is different even for the same game goods. However, the value of a good within a mobile game is fixed, not fluctuating like the exchange rate, making it difficult to control inflation or deflation by game good. In addition, it is not easy to provide a product at a suitable price level to the user who enjoys the game, and a lot of time and effort has been put into composing the product from the operator's point of view. Accordingly, there is a need for a method for estimating the value of game goods.

Related prior arts include Korean Patent Laid-Open Publication No. 10-2012-0122666 (name of the invention: an item trading brokerage system and method, and Applicant: Hyun Joon Lee). The item transaction brokerage system of the related patent publication includes a broker terminal for brokering barter transactions between items having different values according to a request of a transaction terminal and a transaction terminal requesting a transaction between items.

According to one or more exemplary embodiments, an operation method of an apparatus for estimating game value of goods may include: identifying growth information of a game character of a game user; Determining a group of the game user among a plurality of groups based on the identified growth information; Collecting variation information for one or more game goods of the game user; And estimating the value of the game goods in the determined group based on the collected change information.

Identifying the growth information may include identifying information on the level, rating, or experience value of the game character.

The estimating may include fitting a value estimating model based on a change amount of growth information of a game character of each of the game users in the determined group and a change amount of each of the game goods during the specific period; And calculating an exchange ratio of each of the remaining game goods to the reference game goods among the game goods through the fitted value estimation model.

The value estimating model may include a regression model.

The calculated exchange rate may be the same for the game users.

The estimating may include calculating an exchange rate between the first game goods and the second game goods based on the amount of exhaustion of the first game goods and the amount of exhaustion of the second game goods for a particular period of time. have.

The estimating may include calculating an exchange rate between the first game goods and the second game goods based on the amount of the first game goods and the amount of the second game goods during the specific period. have.

The estimating may include calculating a ratio between the amount of exhaustion and the amount of acquisition of the first game good for a particular period of time; Calculating a ratio between the amount of exhausted and acquired amount of the second game good for the particular time period; And redefining the exchange rate between the first game good and the second game good based on a pre-calculated exchange rate between the first game good and the second game good and the calculated ratios. have.

The value in another group of game goods may be different than the estimated value in the group.

The operation method may further include constructing a game package product including the game goods based on the estimated value.

The computer readable recording medium may record one or more instructions for executing the above-described operating method.

According to one aspect of the present invention, an apparatus for estimating a game value includes: a memory for recording one or more instructions; And a controller for executing the command.

The controller executes the command to: identify growth information of a game character of a game user, determine a group of the game user from among a plurality of groups based on the identified growth information, and at least one game of the game user. Collect variation information for the goods, and estimate the value of the game goods in the determined group based on the collected variation information.

The controller can grasp information about the level, rating, or experience value of the game character.

The controller may fit a value estimating model based on the amount of change in growth information of a game character of each of the game users in the determined group and the amount of change of each of the game goods during the specific period of time. The fitted value estimating model may calculate an exchange ratio of each of the remaining game goods to the reference game goods among the game goods.

The value estimating model may include a regression model.

The calculated exchange rate may be the same for the game users.

The controller may calculate an exchange rate between the first game goods and the second game goods based on the amount of exhaustion of the first game goods and the amount of exhaustion of the second game goods during a particular period.

The controller may calculate an exchange rate between the first game goods and the second game goods based on the acquisition amount of the first game goods and the acquisition amount of the second game goods during a particular period.

The controller calculates a ratio between the amount of exhausted and acquired amount of the first game goods for a specific period, calculates a ratio between the amount of exhausted and gained amount of the second game goods during the specific period, and the first game The exchange rate between the first game good and the second game good may be redefined based on a pre-calculated exchange rate between the good and the second game good and the calculated ratios.

The value in another group of game goods may be different than the estimated value in the group.

The controller may configure a game package product including the game goods based on the estimated value.

Embodiments can be provided after configuring the game user-specific game product, the game user's game satisfaction can be improved, the time required for the production or configuration of the game product can be shortened.

1 is a flowchart illustrating a game goods value estimation system according to an embodiment.
2 is a diagram for describing an operation of an apparatus for estimating game goods value, according to an exemplary embodiment.
3 to 4 are diagrams for describing a game package product configuration according to an embodiment.
5 is a flowchart illustrating a method of operating a game goods value estimating apparatus according to an embodiment.
6 is a block diagram illustrating an apparatus for estimating game goods value according to an exemplary embodiment.

Hereinafter, exemplary embodiments will be described in detail with reference to the accompanying drawings. However, various changes may be made to the embodiments so that the scope of the patent application is not limited or limited by these embodiments. It is to be understood that all changes, equivalents, and substitutes for the embodiments are included in the scope of rights.

The terminology used herein is for the purpose of description and should not be construed as limiting. Singular expressions include plural expressions unless the context clearly indicates otherwise. In this specification, terms such as "comprise" or "have" are intended to indicate that there is a feature, number, step, action, component, part, or combination thereof described on the specification, and one or more other features. It is to be understood that the present invention does not exclude the possibility of the presence or the addition of numbers, steps, operations, components, components, or a combination thereof.

Unless defined otherwise, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art. Terms such as those defined in the commonly used dictionaries should be construed as having meanings consistent with the meanings in the context of the related art and shall not be construed in ideal or excessively formal meanings unless expressly defined in this application. Do not.

In addition, in the description with reference to the accompanying drawings, the same components regardless of reference numerals will be given the same reference numerals and duplicate description thereof will be omitted. In the following description of the embodiment, when it is determined that the detailed description of the related known technology may unnecessarily obscure the gist of the embodiment, the detailed description thereof will be omitted.

1 is a flowchart illustrating a game goods value estimation system according to an embodiment.

Referring to FIG. 1, a game goods value estimating system 100 according to an embodiment includes a game goods value estimating apparatus 110 and a plurality of terminals 120-1 to 120-n.

Each of the terminals 120-1 to 120-n is provided with a game client. The game client may be otherwise represented as a game application or game software.

Each of the plurality of terminals 120-1 through 120-n connects to the game goods value estimating apparatus 110 through a game client. The game goods value estimating apparatus 110 may correspond to a device existing in the game server or physically distinguished from the game server.

The game user can play the game through his terminal to achieve his in-game objectives (ie, for in-game growth). Game goods are essential for game users to achieve their in-game purpose.

The game goods value estimating apparatus 110 may estimate the value of the game goods by the action of the game user.

For example, the game goods value estimating apparatus 110 may estimate the value of the game goods based on the amount of exhaustion of the game goods required for growth during the last N days or a specific period. By using game goods in the game, the game user can approach the growth of his in-game purpose. At this time, the game goods most used by game users at the present time may be goods needed for growth at that time. Since the need for the game user can be seen as valuable to the game user, the game goods used by the game user a lot can correspond to the goods having a high value to the game user at that time. Accordingly, the game goods value estimating apparatus 110 may estimate the value (eg, exchange rate) of the game goods based on the amount of the game goods required for growth.

As another example, the game goods value estimating apparatus 110 may estimate the value of the game goods based on the amount of exhausted game goods for the last N days or for a specific period. Gamers can save valuable goods and use them when needed. Less exhausted game goods may be goods of high value to the game user. Accordingly, the game goods value estimating apparatus 110 may estimate the value (eg, exchange rate) of the game goods based on the amount of exhaustion of the game goods.

As another example, the game goods value estimating apparatus 110 may estimate the value of the game goods based on the amount of the game goods acquired during the last N days or a specific period. Game goods that are difficult for a game user to acquire may generally be goods of high value to the game user. The game goods value estimating apparatus 110 may estimate the value (eg, an exchange rate) of the game goods based on the amount of game goods acquired.

As another example, the game goods value estimating apparatus 110 may estimate the value of the game goods based on the amount of exhaustion of the game goods for the last N days or a specific period. Game goods that are more exhausted than earned may be valuable to the game user. Accordingly, the game goods value estimating apparatus 110 may estimate the value of the game goods (for example, the exchange rate) based on the amount of exhaustion of the game goods.

As the value of the game goods is estimated as described above, it may be possible to provide game products customized for game users. In other words, a game user may be provided with a high game product instead of a low game product. For this reason, game satisfaction of a game user can be improved. In addition, the time required to produce a game product can be shortened.

The detailed operation of the game goods value estimating apparatus 110 will be described with reference to FIG. 2.

2 is a diagram for describing an operation of an apparatus for estimating game goods value, according to an exemplary embodiment.

Referring to FIG. 2, four groups are shown. The game goods value estimating apparatus 110 may classify a plurality of game users into four groups. In an embodiment, the game goods value estimating apparatus 110 may divide the plurality of game users into four groups according to the growth stage (eg, level, rating, experience value), game server, or game race. The number of groups can be changed according to the system's policy. The four groups shown in FIG. 2 are merely examples for convenience of description, and the number of groups is not limited to the example shown in FIG. 2.

In the example shown in FIG. 2, the game goods value estimating apparatus 110 classifies game users corresponding to levels 1 to 25 into group 1 and classifies game users corresponding to levels 26 to 50 into group 2, and level 51. Suppose that game users corresponding to ~ 75 are classified into group 3, and game users corresponding to levels 76-100 are grouped into group 4.

The game goods value estimating apparatus 110 may estimate the value of the game goods for each group.

Estimation based on the amount of goods consumed in the last N days required for growth

The game goods value estimating apparatus 110 may estimate the value of the game goods in the group based on the amount of change of the game goods and the amount of growth of the game users in the group for the last N days. For example, the game goods value estimating apparatus 110 may use a regression model. More specifically, the game goods value estimating apparatus 110 trains the regression model of Equation 1 below based on the recent N-day growth change amount of game users in a specific group and the exhausted amount of each of the game goods, and then through the learning result. The value of each of the game goods within a particular group can be estimated.

In Equation 1, y is a response variable and represents a growth change amount of game users in a specific group for the last N days and may correspond to a positive number. The amount of change in growth over the last N days may represent, for example, a level change, an experience change, or a change in combat power, but is not limited thereto. In addition, in Equation 1, x _k represents the exhausted amount of the game goods k as a predictor. In addition, βk in Equation 1 above is a value determined by learning and may correspond to a positive number.

The game goods value estimating apparatus 110 derives Equation 2 below for Group 1 by learning a regression model based on the amount of change of each of the game goods and the amount of change in the recent N days of each of the game users in Group 1. lets do it.

Referring to the above equation (2), the growth amount of change in the last N days in group 1 can be accomplished by exhausting the game goods x ₁ 1 x ₂ and one game goods 10 dogs,. In other words, the more good games x ₁ 1 1 in the group can see that having the same value x ₂ 10 dogs good game.

The game goods value estimating apparatus 110 derives Equation 3 below for Group 2 by learning a regression model based on the amount of change of each of the game goods and the amount of change in the recent N days of each of the game users in Group 2. lets do it.

Referring to the above Equation 3, the growth amount of change in the last N days, in group 2 can be accomplished by exhausting the game goods x ₁ 2 x ₂ and one game goods 5 dogs,. In other words, it can be seen that two game goods x ₁ in Group 2 have the same value as five game goods x ₂ .

The game goods value estimating apparatus 110 derives Equation 4 below for Group 3 by learning a regression model based on the amount of change of each of the game goods and the amount of change in the recent N days of each of the game users in Group 3. lets do it.

Referring to the above equation (4), the growth amount of change in the last N days, Group 3 can be accomplished by exhausting the game goods x ₁ 3 x ₂ and one game goods 10 dogs,. In other words, goods x ₁ 3 games in group 3 it can be seen that having the same value x ₂ 10 dogs good game.

The game goods value estimating apparatus 110 derives Equation 5 below for Group 4 by learning a regression model based on the amount of change in each of the game goods and the amount of change in the recent N days of each of the game users in Group 4. lets do it.

Referring to the above equation (5), the growth amount of change in the last N days in Group 4 may be achieved by exhausting the game goods x ₁ 3 x ₂ and one game goods 5 dogs,. In other words, one good game in Group 4 x ₁ 3 it can be seen that having the same value of goods Dogs Game x ₂ 5.

As described above, the game goods value estimating apparatus 110 may estimate the value of each of the game goods in each group.

<Estimate based on the amount of goods consumed in the last N days>

The game goods value estimating apparatus 110 may estimate the value of each game goods based on the amount of exhaustion of each of the game goods of the game user for the last N days. For example, the game goods value estimating apparatus 110 determines that the exchange ratio between the game goods 1 and 2 is 1: 300 when the game user A has exhausted the game goods 1 100 for the last N days and 30,000 the game goods 2 30,000. Can be. In other words, the game goods value estimating apparatus 110 may determine that one game good 1 is equal to 300 game goods 2 for the game user A. The game goods value estimating apparatus 110 may determine an exchange ratio between the game goods 1 and 2 as 1: 800 when the game user B has used 50 of the game goods 1 for the last N days and 40,000 of the game goods 2 has been exhausted. In other words, the game goods value estimating apparatus 110 may determine that one game good 1 is equal to 800 game goods 2 for the game user B.

In an embodiment, the game goods value estimating apparatus 110 may estimate the value of each game good in each group based on the amount of each of the game goods of the game users in the group for the last N days. For example, the game goods value estimating apparatus 110 exchanges between the game goods 1 and 2 in the group 1 when the game users of the group 1 have exhausted the game goods 1 10,000 for the last N days and the game goods 2 have been used 500,000. The ratio can be determined to be 1:50. That is, the game goods value estimating apparatus 110 may determine that one game good 1 in Group 1 is the same value as the 50 game goods 2. The game goods value estimating apparatus 110 determines the exchange rate between the game goods 1 and 2 in the group 2 when the game users of the group 2 have exhausted the game goods 1 20,000 in the last N days and the game goods 2 have been consumed 600,000. Can be determined by: 30. That is, the game goods value estimating apparatus 110 may determine that one game good 1 is equal to 30 game goods 2 in the group 2.

Estimation based on the amount of goods acquired in the last N days

The game goods value estimating apparatus 110 may estimate the value of each game goods based on the acquisition amount of each of the game goods of the game user for the last N days. For example, the game goods value estimating apparatus 110 determines that the exchange ratio between the game goods 1 and 2 is 1: 500 when the game user A acquires the game goods 1 100 in the last N days and 50,000 the game goods 2. Can be. In other words, the game goods value estimating apparatus 110 may determine that one game good 1 is equal to 500 game goods 2 for the game user A. The game goods value estimating apparatus 110 may determine that the exchange ratio between the game goods 1 and 2 is 1: 400 when the game user B acquires the game goods 1 and 50 the last N days, and the game goods 2 20,000. have. In other words, the game goods value estimating apparatus 110 may determine that one game good 1 is equal to 400 game goods 2 for the game user B.

In an embodiment, the game goods value estimating apparatus 110 may estimate the value of each game good in each group based on the acquisition amount of each of the game goods of the game users in the group for the last N days. For example, the game goods value estimating apparatus 110 may be configured to determine whether or not game users in Group 1 have acquired 20,000 game goods 1 for the last N days and 600,000 game goods 2, respectively. The exchange rate can be determined to be 1:30. That is, the game goods value estimating apparatus 110 may determine that one game good 1 in Group 1 is the same value as the 30 game goods 2. The game goods value estimating apparatus 110 exchanges between the game goods 1 and 2 in the group 2 when the game users of the group 2 have acquired 40,000 game goods 1 and 800,000 the game goods 2 in the last N days. Can be determined as 1:20. That is, the game goods value estimating apparatus 110 may determine that one game good 1 is equal to 20 game goods 2 in the group 2.

Estimation based on Exhaustion vs. Acquisition of Goods in Recent N Days

에 따라 게임 재화 1 및 2 사이의 교환 비율을 1:250으로 결정할 수 있다. 게임 재화 가치 추정 장치(110)는 게임 유저 B가 게임 재화 1을 100 소진하였고 50 획득하였으며, 게임 재화 2를 30,000 소진하였고 20,000 획득하였으며, 게임 재화 1 및 2 사이의 상점 교환 비율이 1:500인 경우,

에 따라 게임 재화 1 및 2 사이의 교환 비율을 1:375로 결정할 수 있다.The game goods value estimating apparatus 110 may estimate the value of each game goods based on the amount of exhaustion, the amount of acquisition, and the store exchange rate of each of the game goods of the game user for the last N days. Here, the store exchange rate is a predetermined value. For example, the game goods value estimating apparatus 110 has a game user A has used 100 of the game goods 1 and obtained 100, has consumed 10,000 of the game goods 2 and obtained 20,000, and the ratio of the store exchange between the game goods 1 and 2 is 1 If: 500,

As a result, the ratio of the exchange between the game goods 1 and 2 may be determined as 1: 250. The game goods value estimating apparatus 110 has the game user B used up 100 games and obtained 50 games 1, 30,000 games 2, and 20,000 games, and the ratio of the shop exchange between games 1 and 2 is 1: 500. Occation,

As a result, the ratio of the exchange between the game goods 1 and 2 may be determined to be 1: 375.

에 따라 그룹 1에서의 게임 재화 1 및 2 사이의 교환 비율을 3:2500으로 결정할 수 있다. 게임 재화 가치 추정 장치(110)는 그룹 2의 게임 유저들이 최근 N일간 게임 재화 1을 20,000 소진하였고 40,000 획득하였으며, 게임 재화 2를 600,000 소진하였고 800,000 획득한 경우,

에 따라 그룹 2에서의 게임 재화 1 및 2 사이의 교환 비율을 1:750으로 결정할 수 있다. In an embodiment, the game goods value estimating apparatus 110 calculates the value of each game goods in each group based on the amount of exhaustion, acquisition amount, and shop exchange rate of each of the game goods of the game users in the group for the last N days. It can be estimated. For example, the game goods value estimating apparatus 110 is a game user of group 1 has exhausted the game goods 1 10,000 and obtained 20,000 during the last N days, 500,000 of the game goods 2 have been obtained and obtained 600,000, and between game goods 1 and 2 If the store exchange rate is 1: 500 as described above,

As a result, the exchange ratio between game goods 1 and 2 in group 1 may be determined to be 3: 2500. The game goods value estimating apparatus 110, when group 2 game users have exhausted 20,000 game goods 1 and obtained 40,000 in the last N days, has consumed 600,000 game goods 2 and obtained 800,000,

As a result, the ratio of the exchange between the game goods 1 and 2 in the group 2 may be determined as 1: 750.

3 to 4 are diagrams for describing a game package product configuration according to an embodiment.

3, the value of each game good for game user A is shown in a table and the value of each game good for game user B is shown in a table. In the example shown in FIG. 3, game good 1 becomes the reference game good.

For game user A, game goods 2 and 3 are of higher value as compared to game user B. That is, the game goods value estimating apparatus 110 may determine that game goods A and 3 have higher values through game user A and B comparison. In this case, the game goods value estimating apparatus 110 or the game server may configure a package product (in other words, an in-game product) for the game user A, but may configure the package product around the game goods 2 and 3.

In the case of game user B, game goods 5 and 6 are of higher value as compared to game user A. That is, the game goods value estimating apparatus 110 may determine that game goods B have higher values of game goods 5 and 6 by comparing game users A and B. In this case, the game goods value estimating apparatus 110 or the game server may configure the package goods (in other words, in-game goods) for the game user B, but may configure the package goods around the game goods 5 and 6.

An example of the game store screen of each game user is shown in FIG.

In the case of game user A, package goods including game goods 2 and 3 can be displayed on the store screen.

In the case of the game user B, the package goods including the game goods 5 and 6 can be shown on the store screen.

As such, the game package product may be configured around game goods that are valuable to each game user, so that the game satisfaction of each game user may be improved.

The example described with reference to FIGS. 3 and 4 has described that a game product having a higher value for a specific game user is determined through comparison between game users, and then a customized package product of the game user is configured. The present invention is not limited thereto, and the game goods value estimating apparatus 110 may determine the game goods having a higher value for the corresponding game user by comparing the game goods value for each game user and the shop exchange rate for each game product. For example, when the exchange rate of each game goods for game user A is determined as in the example shown in FIG. 3, the game goods value estimating apparatus 110 determines the exchange rate of each game goods and the store exchange rate of each game goods. Can be compared. As a result of the comparison, if the value of the exchange rate between game good 1 and game good 3 and the rate of exchange between game good 1 and game good 4 respectively is higher than the value according to the store exchange rate of game good 3 and 4 respectively, the game good The value estimating apparatus 110 may determine to the game user A that game goods 3 and 4 are more valuable than other game goods at the present time. In this case, the game goods value estimating apparatus 110 or the game server may configure a game package product for the game user A centering on the game goods 3 and 4.

5 is a flowchart illustrating a method of operating a game goods value estimating apparatus according to an embodiment.

Referring to FIG. 5, the game goods value estimating apparatus 110 grasps growth information of a game character of a game user (510). For example, the game goods value estimating apparatus 110 may grasp information about a level, a grade, or an experience value of a game character of a game user.

The game goods value estimating apparatus 110 determines a group of game users among the plurality of groups based on the identified growth information (520).

The game goods value estimating apparatus 110 collects change information about one or more game goods of a game user (530). The variation information may include, for example, at least one of an exhausted amount and an acquired amount.

The game goods value estimating apparatus 110 estimates the value of the game goods in the determined group based on the collected variation information (540).

In one example of the step 540, the game goods value estimating apparatus 110 is based on the amount of change in the growth information of the game character of each of the game characters of the game users in the group and the amount of change of each of the game goods during the particular period of time. The estimation model may be fitted, and the fitted value estimation model may be used to calculate an exchange ratio of each of the remaining game goods to the reference game goods among the game goods. Here, the value estimating model may include the regression model described above, and the calculated exchange rate may be the same for game users in the group.

In another example of step 540, the game goods value estimating apparatus 110 may determine whether the game goods value is estimated between the first game goods and the second game goods based on the amount of exhaustion of the first game goods and the amount of exhaustion of the second game goods during a particular period of time. The exchange rate of can be calculated.

As another example of step 540, the game goods value estimating apparatus 110 may be configured to calculate the first game goods and the second game goods based on the acquisition amount of the first game goods and the acquisition amount of the second game goods during a specific period. The exchange rate between can be calculated.

In another example of step 540, the game goods value estimating apparatus 110 may calculate a ratio between the amount of exhaustion and acquisition of the first game good for a particular period of time, The ratio between the amount consumed and the amount acquired can be calculated, and based on the pre-calculated exchange rate and the calculated ratio between the first game goods and the second game goods, the exchange rate between the first game goods and the second game goods is calculated. Can be reassigned.

In an embodiment, the game goods value estimating apparatus 110 may configure a game package product including the specific game goods based on the value estimated through the step 540.

1 to 4 may be applied to the matters described with reference to FIG. 5, and thus detailed description thereof will be omitted.

6 is a block diagram illustrating an apparatus for estimating game goods value according to an exemplary embodiment.

Referring to FIG. 6, the game goods value estimating apparatus 110 includes a memory 610 and a controller 620.

Memory 610 records one or more instructions.

The controller 620 executes one or more instructions recorded in the memory 610. The controller 620 executes one or more commands to determine " growth information of the game character of the game user, determine a group of game users among the plurality of groups based on the identified growth information, and at least one game user's game. Collect variation information about the goods, and estimate the value of the game goods in the group based on the collected variation information.

1 to 5 may be applied to the matters described with reference to FIG. 6, and thus detailed descriptions thereof will be omitted.

The apparatus described above may be implemented as a hardware component, a software component, and / or a combination of hardware components and software components. For example, the devices and components described in the embodiments are, for example, processors, controllers, arithmetic logic units (ALUs), digital signal processors, microcomputers, field programmable gate arrays (FPGAs). Can be implemented using one or more general purpose or special purpose computers, such as a programmable logic unit (PLU), a microprocessor, or any other device capable of executing and responding to instructions. The processing device may execute an operating system (OS) and one or more software applications running on the operating system. The processing device may also access, store, manipulate, process, and generate data in response to the execution of the software. For convenience of explanation, one processing device may be described as being used, but one of ordinary skill in the art will appreciate that the processing device includes a plurality of processing elements and / or a plurality of types of processing elements. It can be seen that it may include. For example, the processing device may include a plurality of processors or one processor and one controller. In addition, other processing configurations are possible, such as parallel processors.

The software may include a computer program, code, instructions, or a combination of one or more of the above, and configure the processing device to operate as desired, or process it independently or collectively. You can command the device. Software and / or data may be any type of machine, component, physical device, virtual equipment, computer storage medium or device in order to be interpreted by or to provide instructions or data to the processing device. Or may be permanently or temporarily embodied in a signal wave to be transmitted. The software may be distributed over networked computer systems so that they may be stored or executed in a distributed manner. Software and data may be stored on one or more computer readable recording media.

The method according to the embodiment may be embodied in the form of program instructions that can be executed by various computer means and recorded in a computer readable medium. The computer readable medium may include program instructions, data files, data structures, etc. alone or in combination. The program instructions recorded on the media may be those specially designed and constructed for the purposes of the embodiments, or they may be of the kind well-known and available to those having skill in the computer software arts. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tape, optical media such as CD-ROMs, DVDs, and magnetic disks, such as floppy disks. Magneto-optical media, and hardware devices specifically configured to store and execute program instructions, such as ROM, RAM, flash memory, and the like. Examples of program instructions include not only machine code generated by a compiler, but also high-level language code that can be executed by a computer using an interpreter or the like. The hardware device described above may be configured to operate as one or more software modules to perform the operations of the embodiments, and vice versa.

Although the embodiments have been described by the limited embodiments and the drawings as described above, various modifications and variations are possible to those skilled in the art from the above description. For example, the described techniques may be performed in a different order than the described method, and / or components of the described systems, structures, devices, circuits, etc. may be combined or combined in a different form than the described method, or other components. Or even if replaced or substituted by equivalents, an appropriate result can be achieved.

Therefore, other implementations, other embodiments, and equivalents to the claims are within the scope of the following claims.

Claims (21)

In the operation method of the game goods value estimation device,
Grasping the growth information of the game character of the game user;
Determining a group of the game user among a plurality of groups based on the identified growth information;
Collecting variation information for one or more game goods of the game user; And
Estimating the value of the game goods in the determined group based on the collected variation information
Including,
The estimating step,
Fitting a value estimation model based on a change amount of growth information of a game character of each of the determined game users of the group and a change amount of each of the game goods during the specific period, and the fitted value estimation model. Calculating the exchange rate of each of the remaining game goods to the reference game goods through
Including,
Method of operation of a device for estimating game goods value.
The method of claim 1,
Identifying the growth information,
Grasping information about the level, rating, or experience value of the game character
Including,
Method of operation of a device for estimating game goods value.
delete The method of claim 1,
The value estimating model includes a regression model,
Method of operation of a device for estimating game goods value.
The method of claim 1,
The calculated exchange rate is equal to the game users,
Method of operation of a device for estimating game goods value.
The method of claim 1,
The estimating step,
Calculating an exchange rate between the first game goods and the second game goods based on the amount of exhaustion of the first game goods and the amount of exhaustion of the second game goods for a particular period of time;
Including,
Method of operation of a device for estimating game goods value.
The method of claim 1,
The estimating step,
Calculating an exchange rate between the first game goods and the second game goods based on the acquisition amount of the first game goods and the acquisition amount of the second game goods for a particular period of time;
Including,
Method of operation of a device for estimating game goods value.
The method of claim 1,
The estimating step,
Calculating a ratio between the amount consumed and acquired of the first game good for a particular period of time;
Calculating a ratio between the amount of exhausted and acquired amount of the second game good for the particular time period; And
Recalculating the exchange rate between the first game good and the second game good based on a pre-calculated exchange rate between the first game good and the second game good and the calculated rates
Further comprising,
Method of operation of a device for estimating game goods value.
The method of claim 1,
The value in another group of game goods is different from the estimated value in the group,
Method of operation of a device for estimating game goods value.
The method of claim 1,
Constructing a game package product including the game goods based on the estimated value
Further comprising,
Method of operation of a device for estimating game goods value.
A computer readable recording medium having recorded thereon one or more instructions for executing the method of any one of claims 1, 2 and 4-10.
In the game goods value estimation device,
Memory for recording one or more instructions; And
Controller that executes the command
Including,
The controller executes the command by:
To grasp the growth information of the game character of the game user,
Determine a group of the game user among a plurality of groups based on the identified growth information,
Collect variation information about one or more game goods of the game user,
Estimate the value of the game goods in the determined group based on the collected variation information,
The controller fits the value estimating model based on the amount of change in growth information of a game character of each of the game users in the determined group and the amount of change in each of the game goods during the specific period of time, and the fitted value. The estimation model calculates the exchange rate of each of the remaining game goods to the reference game goods,
Game goods value estimator.
The method of claim 12,
The controller,
Identifying information about the level, rating, or experience of the game character,
Game goods value estimator.
delete The method of claim 12,
The value estimating model includes a regression model,
Game goods value estimator.
The method of claim 12,
The calculated exchange rate is equal to the game users,
Game goods value estimator.
The method of claim 12,
The controller calculates an exchange rate between the first game goods and the second game goods based on the amount of exhaustion of the first game goods and the amount of exhaustion of the second game goods during a particular period of time.
Game goods value estimator.
The method of claim 12,
The controller calculates an exchange rate between the first game goods and the second game goods based on the acquisition amount of the first game goods and the acquisition amount of the second game goods for a specific period of time.
Game goods value estimator.
The method of claim 12,
The controller,
Calculate a ratio between the amount of exhaustion and acquisition of the first game good for a particular period, calculate a ratio between the amount of exhaustion and acquisition of the second game good for the particular time period, and Recalculating the exchange rate between the first game good and the second game good based on the pre-calculated exchange rate between the second game goods and the calculated ratios,
Game goods value estimator.
The method of claim 12,
The value in another group of game goods is different from the estimated value in the group,
Game goods value estimator.
The method of claim 12,
The controller configures a game package product including the game goods based on the estimated value.
Game goods value estimator.

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