KR102627642B1 - Server that provides user-customized auto-play predictive results and recommends auto-play locations and its operation method - Google Patents

Abstract

This relates to a game server that provides user-customized automatic hunting predictions and recommends automatic hunting locations and its operating method.
The method according to one embodiment may obtain user character information, receive a desired hunting location from the user terminal, and provide an automatic hunting predicted value based on the user character information and hunting location information for the desired hunting location.
The method according to one embodiment may obtain user character information stored in a server, receive an automatic hunting target value from a user terminal, and provide a recommended hunting location based on the user character information and the automatic hunting target value.

Description

Game server that provides customized automatic hunting predictions and recommends automatic hunting locations and its operation method {SERVER THAT PROVIDES USER-CUSTOMIZED AUTO-PLAY PREDICTIVE RESULTS AND RECOMMENDS AUTO-PLAY LOCATIONS AND ITS OPERATION METHOD}

The following embodiments relate to a game server that provides user-customized automatic hunting prediction values and recommends automatic hunting locations and a method of operating the same.

With the development of computing devices and network environments, the number of users who enjoy online-based games using various wired and wireless communication devices is increasing significantly. Users can feel interest in the game by playing characters in the game environment provided by the game server through wired or wireless communication devices.

Recently, an auto-hunting function has been provided to users who play the game, allowing them to play the game more efficiently. Even if users do not monitor the game play screen or directly manipulate it, they can use the auto-hunt function to play the game for a long time and acquire experience points and goods.

However, since users generally do not monitor the game play screen when using the auto-hunting function, it is difficult to respond to unexpected events (for example, character death) that may occur during auto-hunting. Additionally, there is a lack of information on automatic hunting efficiency provided to users.

Accordingly, there is a need for a method that can increase user play satisfaction while using the automatic hunting function.

The above-mentioned background technology is technical information that the inventor possessed for deriving the present invention or acquired in the process of deriving the present invention, and cannot necessarily be said to be known art disclosed to the general public before filing the application for the present invention.

The purpose is to provide user-customized automatic hunting predicted values, a game server that recommends automatic hunting locations, and a method of operating the same.

The problem to be solved by the present invention is not limited to the problems mentioned above, and other problems and advantages of the present invention that are not mentioned can be understood through the following description and can be understood more clearly by the embodiments of the present invention. It will be. In addition, it can be seen that the problems and advantages to be solved by the present invention can be realized by the means and combinations thereof indicated in the patent claims.

As a technical means for achieving the above-mentioned technical problem, a first aspect of the present disclosure is a method of providing an automatic hunting prediction value customized to a user, comprising: acquiring user character information; Receiving a desired hunting location from the user terminal; and an operation of providing an automatic hunting prediction value based on the user character information and hunting location information about the desired hunting location.

A second aspect of the present disclosure is a game server that provides user-customized automatic hunting predictions, comprising: a communication unit that communicates with a user terminal; a memory in which at least one program is stored; and a processor that performs an operation by executing the at least one program, wherein the communication unit receives a desired hunting location from the user terminal, and the processor acquires user character information stored in the memory, and the user A game server that provides automatic hunting prediction values based on character information and hunting location information for the desired hunting location may be provided.

A third aspect of the present disclosure is a method of automatically recommending a hunting location customized to a user, comprising: acquiring user character information; Receiving an automatic hunting target value from the user terminal; and providing a recommended hunting location based on the user character information and the automatic hunting target value.

A fourth aspect of the present disclosure is a game server that automatically recommends a hunting location customized to a user, comprising: a communication unit that communicates with a user terminal; a memory in which at least one program is stored; and a processor that performs an operation by executing the at least one program, wherein the communication unit receives an automatic hunting target value from the user terminal, and the processor acquires user character information stored in the memory, and A game server that provides recommended hunting locations based on user character information and the automatic hunting target value may be provided.

A fifth aspect of the present disclosure may provide a computer-readable recording medium recording a program for executing the method according to the first to third aspects on a computer.

According to the problem solving means of the present disclosure described above, it is possible to increase the user's satisfaction with automatic hunting play by providing an automatic hunting prediction value tailored to the user character based on user character information and hunting location information about the desired hunting location.

According to one of the means for solving another problem of the present disclosure, user convenience can be increased by recommending a user-customized automatic hunting location based on user character information, automatic hunting target value, and hunting time information.

1 is a system diagram including a user terminal and a game server according to an embodiment.
FIG. 2 is a diagram illustrating an example of providing an automatic hunting prediction value customized to the user according to an embodiment.
3A to 3B are diagrams for explaining congestion and difficulty according to an embodiment.
FIG. 4 is a diagram illustrating an example of providing an automatic hunting prediction value based on hunting time information according to an embodiment.
Figure 5 is a diagram for explaining an example of providing expected item exhaustion information according to an embodiment.
Figure 6 is a diagram for explaining an example of providing a character development method according to an embodiment.
FIG. 7 is a diagram illustrating an example of providing an automatic hunting predicted value in consideration of congestion over time according to an embodiment.
Figure 8 is a diagram for explaining an example of automatically recommending a hunting location customized to the user according to an embodiment.
FIG. 9 is a diagram illustrating an example of providing filtering and sorting functions for recommended hunting locations according to an embodiment.
FIG. 10 is a diagram for explaining an example of providing a teleportation function according to an embodiment.
Figure 11 is a flowchart showing a method of providing automatic hunting prediction values customized to the user according to an embodiment.
Figure 12 is a flowchart showing a method of automatically recommending a hunting location customized to the user according to an embodiment.
Figure 13 is a block diagram of a server according to one embodiment.

The advantages and features of the present invention and methods for achieving them will become clear by referring to the embodiments described in detail together with the accompanying drawings. However, the present invention is not limited to the embodiments presented below, but may be implemented in various different forms, and should be understood to include all conversions, equivalents, and substitutes included in the spirit and technical scope of the present invention. .

The terms used in this application are only used to describe specific embodiments and are not intended to limit the invention. Singular expressions include plural expressions unless the context clearly dictates otherwise. In this application, terms such as “comprise” or “have” are intended to designate the presence of features, numbers, steps, operations, components, parts, or combinations thereof described in the specification, but are not intended to indicate the presence of one or more other features. It should be understood that this does not exclude in advance the possibility of the existence or addition of elements, numbers, steps, operations, components, parts, or combinations thereof.

Some embodiments of the present disclosure may be represented by functional block configurations and various processing steps. Some or all of these functional blocks may be implemented in various numbers of hardware and/or software configurations that perform specific functions. For example, the functional blocks of the present disclosure may be implemented by one or more microprocessors, or may be implemented by circuit configurations for certain functions. Additionally, for example, functional blocks of the present disclosure may be implemented in various programming or scripting languages. Functional blocks may be implemented as algorithms running on one or more processors. Additionally, the present disclosure may employ conventional technologies for electronic environment setup, signal processing, and/or data processing. Terms such as “mechanism,” “element,” “means,” and “configuration” may be used broadly and are not limited to mechanical and physical configurations.

Additionally, connection lines or connection members between components shown in the drawings merely exemplify functional connections and/or physical or circuit connections. In an actual device, connections between components may be represented by various replaceable or additional functional connections, physical connections, or circuit connections.

Hereinafter, the operations performed by the user may refer to the operations performed by the user through the user terminal. As an example, a command corresponding to an action performed by the user may be input to the user terminal through an input device (eg, keyboard, mouse, etc.) embedded in or additionally connected to the user terminal. As another example, a command corresponding to an action performed by the user may be input to the user terminal through the touch screen of the user terminal. At this time, the action performed by the user may include a predetermined gesture. For example, gestures may include tap, touch and hold, double tap, drag, panning, flick, drag and drop, etc.

Hereinafter, the present disclosure will be described in detail with reference to the attached drawings.

1 is a system diagram including a user terminal and a game server according to an embodiment.

A system according to one embodiment may include a plurality of user terminals 1000 and a game server 2000.

User terminals 1000 may communicate with each other or with other nodes through a network.

The user terminal 1000 may be a smartphone, tablet PC, PC, smart TV, mobile phone, laptop, and other mobile or non-mobile computing devices. Additionally, the user terminal 1000 may be a wearable device such as glasses or a hair band equipped with a communication function and a data processing function. The user terminal 1000 may include all types of devices that can communicate with other devices through a network.

The game server 2000 may be implemented as a computer device or a plurality of computer devices that provide commands, codes, files, content, services, etc. by communicating over a network.

The user terminal 1000 and the game server 2000 may communicate using a network. The game server 2000 can exchange game data with the user terminal 1000 through a network and provide a system that allows the user to play the game through the user terminal 1000.

Game data may include user character information. User character information may include, for example, the character's image information, the character's level information, the character's game money information, the character's item information, the character's skill information, the character's stat information, the character's game progress information, etc. You can.

Additionally, game data may include hunting location information. Hunting location information may include, for example, hunting location name, monster information, obtainable goods, number of third-party users of the hunting location, terrain information of the hunting location, hunting location level, etc. Monster information may include attack power, defense power, zen time, density, etc. for each monster.

Additionally, game data may include store information. Store information may include, for example, store location information, item information sold at the store, etc.

Networks include Local Area Network (LAN), Wide Area Network (WAN), Value Added Network (VAN), mobile radio communication network, satellite communication network, and combinations thereof. It is a data communication network in a comprehensive sense that allows each network constituent shown in FIG. 1 to communicate smoothly with each other, and may include wired Internet, wireless Internet, and mobile wireless communication networks. In addition, wireless communications include, for example, wireless LAN (Wi-Fi), Bluetooth, Bluetooth low energy, ZigBee, WFD (Wi-Fi Direct), UWB (ultra wideband), and infrared communications (IrDA). Data Association), NFC (Near Field Communication), etc., but are not limited to these.

FIG. 2 is a diagram illustrating an example of providing an automatic hunting prediction value customized to the user according to an embodiment.

The user can access the game server 2000 through the user terminal 1000 and play the game. The user terminal 1000 can access the game server 2000 through a game application and game execution program installed on the user terminal 1000. Additionally, the user terminal 1000 can access the game server 2000 through a web browser or a web-based game platform. However, the method of accessing the game server 2000 is not limited to this.

User character information 210 may be stored in the game server 2000. The game server 2000 may transmit user character information 210 corresponding to the identification information to the user terminal 1000 based on the identification information of the user connected to the game server 2000. The user can check the user character information 210 through the user terminal 1000.

The user character information 210 may include the user character's item information 211 and stat information 212. Additionally, the user character information 210 may further include skill information, but the information that may be included in the user character information 210 is not limited to the above examples.

The game server 2000 may transmit hunting location information 220 about a plurality of hunting locations to the user terminal 1000.

Hunting location information 220 may include hunting location name, monster information, and obtainable goods. Additionally, the hunting location information 220 may further include a hunting location level, but the information that may be included in the hunting location information 220 is not limited to the above examples.

The user can select a desired hunting location 221 from among a plurality of hunting locations through the user terminal 1000. When the desired hunting location 221 is selected by the user, the game server 2000 may receive a signal from the user terminal 1000 that the desired hunting location 221 has been selected.

The game server 2000 may provide an automatic hunting prediction value 230 based on user character information 210 and hunting location information about the desired hunting location 221.

Specifically, the game server 2000 uses user character information 210 such as possession item information 211, stat information 212, skill information, etc., and monster information appearing at the desired hunting location 221 such as attack power, defense power, By comparing and analyzing monster generation time, monster density, etc., an automatic hunting predicted value (230) can be provided.

For example, the automatic hunting prediction value 230 may include information about experience points that can be obtained per hour and gold that can be obtained per hour. Additionally, the automatic hunting prediction value 230 may include how many other goods that can be acquired at the desired hunting location 221 in addition to gold can be acquired per hour, or what the probability of obtaining other goods per hour is. However, the information included in the automatic hunting prediction value 230 is not limited thereto.

The game server 2000 according to one embodiment may provide an automatic hunting prediction value 230 customized to the user character based on the user character information 210 and the hunting location information 220 for the desired hunting location 221. .

3A to 3B are diagrams for explaining congestion and difficulty according to an embodiment.

The game server 2000 may use hunting location information to determine the level of congestion for each hunting location. The determined congestion level may be included in the hunting location information.

Hunting location information may include the name of the hunting location, the number of other users currently hunting, character information of other users, and monster information (for example, average number of monsters and Zen time). Meanwhile, the hunting location information may also include past congestion information, monsters that appear, and obtainable goods, and the information included in the hunting location information is not limited to the above examples.

Specifically, the game server 2000 may determine the congestion level of the hunting location based on the number of third-party users currently hunting at the hunting location and the average number of monsters at the hunting location. The game server (2000) can determine the congestion level to be higher as the number of third-party users currently hunting increases, and can determine the congestion level to be lower as the average number of monsters increases. In other words, the game server 2000 can determine the degree of congestion of the hunting location by comparing the number of other users and the number of monsters per unit area of the hunting location.

Additionally, the game server 2000 may determine the level of congestion at the hunting location by considering the monster gen time at the hunting location. For example, the game server 2000 may determine that the shorter the monster gen time, the lower the congestion level.

Additionally, the game server 2000 may determine the level of congestion at the hunting location by considering character information of other users who are hunting at the hunting location. For example, the game server 2000 may determine the congestion level to be higher as the ability level of the character of another user hunting at the hunting location or the number of monsters that the other user's character hunts per hour increases.

Referring to Figure 3a, in the case of the first hunting location, the number of third-party users currently hunting is relatively small at 8user/ ^m2 , the average number of monsters is relatively high at ^50mon./m2 , and the gen time is relatively high at 1 minute. Since it is short, the game server 2000 may determine the congestion level to be 'low'. On the other hand, in the case of the third hunting location, the number of third-party users currently hunting is relatively high at 25user/ ^m2 , the average number of monsters is relatively low at ^10mon./m2 , and the gen time is relatively long at 15 minutes, so the game The server 2000 may determine the congestion level to be 'high'.

In one embodiment, the game server 2000 may divide the hunting location into a plurality of areas and determine the level of congestion for each area. Even within one hunting location, the monsters that appear may vary by area of the hunting location, and the number of third-party users may vary by area of the hunting location, so the game server (2000) based on the number of other users and the average number of monsters by area of the hunting location. The level of congestion for each area can be determined. The game server 2000 may determine the congestion level for each area for the entire area of the desired hunting location selected by the user, or may determine the congestion level for the area selected by the user within the desired hunting location.

In one embodiment, the game server 2000 may determine the congestion level of the hunting location using the past congestion level of the hunting location. Specifically, the game server 2000 may determine the congestion level of the hunting location based on hunting location information, match the determined congestion with the hunting location, and store it. The game server 2000 may use the stored congestion level matched with the hunting location as the past congestion level. In addition, the game server 2000 may determine the congestion level of the hunting location at predetermined time intervals, match the congestion level at predetermined time intervals with the hunting location, and store it. Afterwards, the game server 2000 may obtain the past congestion level at each predetermined time interval for the hunting location.

The level of congestion at a hunting location may vary depending on the time of day. Specifically, the time zone at which users flock to each hunting location may be different, or the zen time of monsters appearing for each hunting location may vary depending on the time, so the congestion of the hunting location may vary depending on the time.

The game server 2000 may determine the congestion level of the hunting location using past congestion levels corresponding to time information about the time the user wants to execute automatic hunting. For example, the game server 2000 may use the past congestion level of a predetermined hunting location corresponding to the time zone to determine the congestion level of the predetermined hunting location during a certain time period. If the past congestion level of a predetermined hunting location corresponding to the corresponding time zone is 'low', the game server 2000 may determine the congestion level to be 'low'.

Alternatively, the game server 2000 may use a statistical prediction model based on past congestion to determine the congestion at the first hunting location during a certain time period. For example, the game server 2000 may determine the congestion level of a predetermined hunting location from 15:00 to 20:00 by analyzing past congestion statistics for the time between 15:00 and 20:00. . The analysis method used in the statistical prediction model may be regression analysis, but is not limited thereto.

Additionally, the game server 2000 may determine the difficulty level of the hunting location based on user character information and hunting location information.

User character information may include possessed item information, stat information, skill information, and level information. Hunting location information may include the name of the hunting location, the number of other users currently hunting, monster information (e.g., average number of monsters, zen time, attack/defense power of appearing monsters, etc.), obtainable goods, and congestion level.

In one embodiment, the difficulty of a hunting location may be determined based on the time the user character can continue hunting without dying. Specifically, the game server 2000 compares user character information and hunting location information to calculate the time the user character can continue hunting without dying at the hunting location, and adjusts the difficulty of the hunting location based on the calculated time. You can decide.

For example, if the continuous hunting time in which the user character can continue hunting without dying at the hunting location is calculated to be less than 1 hour, the game server 2000 may determine the difficulty of the hunting location as 'high'. . Alternatively, if the continuous hunting time is calculated to be between 1 hour and 3 hours, the game server 2000 may determine the difficulty level of the hunting location as 'medium'. Alternatively, when the continuous hunting time is calculated to be 3 hours or more, the game server 2000 may determine the difficulty level of the hunting location as 'high'.

Referring to FIG. 3B, the game server 2000 may determine the difficulty level of the hunting location based on the hunting location level and the user character level. Additionally, the game server 2000 may determine the difficulty level of the hunting location by considering the congestion level of the hunting location. Here, the hunting site level may be determined based on monster attack power, defense power, monster gen time, monster density, etc.

For example, in the case of the first hunting location, the hunting location level is 75Lv., but the user character level is lower than this, 70Lv., and the congestion level is also 'low', so the game server (2000) sets the difficulty of the first hunting location to 'high'. can be decided. On the other hand, in the case of the third hunting location, the hunting location level is 75Lv. and the user character level is lower than this, 70Lv., but since the congestion level is 'high', the game server (2000) determines the difficulty level of the first hunting location as 'medium'. You can. In other words, compared to low congestion, high congestion means that the number of other users currently hunting is greater than the number of monsters, so if other conditions are equal, the average time it takes for a user character to die at a hunting location with 'high' congestion is The time may be longer than the average time it takes to die in a hunting area with low or medium congestion.

Meanwhile, in the case of the second hunting location, the level of the hunting location is 50Lv., but the user character level is higher than this level of 70Lv., so the game server 2000 may determine the difficulty level of the first hunting location to be 'low'. If the level of the hunting location is lower than the threshold value compared to the user character level, the game server 2000 may determine the difficulty of the hunting location to be 'low' regardless of the congestion of the hunting location.

Meanwhile, the game server 2000 further considers the user character's stat information (attack power, defense power, etc.) and skill information in addition to the user character level, or uses the user character's stat information (attack power, defense power, etc.) and skill information instead of the user character level. You can also consider the following to determine the difficulty of the hunting location.

FIG. 4 is a diagram illustrating an example of providing an automatic hunting prediction value based on hunting time information according to an embodiment.

The user may input hunting time information 410 through the user terminal 1000. Hunting time information 410 may include hunting start time and hunting end time. Users can directly enter the hunting start time and hunting end time. Alternatively, the user may enter the hunting progress time (eg, 1 hour, 2 hours, etc.). In this case, the hunting end time can be calculated based on the hunting start time and hunting progress time.

In one embodiment, the game server 2000 may provide an automatic hunting prediction value 420 based on user character information and hunting location information about a desired hunting location.

The automatic hunting prediction value 420 may include information about experience points that can be obtained per hour and gold that can be obtained per hour. Additionally, the automatic hunting prediction value 420 may include how many other goods that can be acquired at the desired hunting location in addition to gold can be acquired per hour, or what the probability of obtaining other goods per hour is.

In another embodiment, the game server 2000 may provide an automatic hunting prediction value 420 based on user character information, hunting location information for a desired hunting location, and hunting time information 410.

The automatic hunting prediction value 420 may include information about experience points that can be obtained during a set time and gold that can be obtained during a set time. Additionally, the automatic hunting prediction value 420 may include how many other goods that can be acquired at the desired hunting location in addition to gold can be acquired during a set time, or what the probability of acquiring other goods is during a set time.

The game server 2000 may determine the congestion level of the desired hunting location based on hunting location information. Additionally, the game server 2000 may determine the level of difficulty of the desired hunting location based on user character information, hunting location information, and congestion.

In one embodiment, the game server 2000 further considers at least one of the congestion and difficulty of the desired hunting location in addition to the user character information, hunting location information and hunting time information 410 for the desired hunting location, and provides an automatic hunting predicted value. (420) can be provided.

For example, if other conditions are the same and the difficulty of the first hunting location is 'high' and the difficulty of the second hunting location is 'low', the user character will spend longer at the second hunting location than at the first hunting location. Since hunting can be done without dying, the predicted automatic hunting value (420) at the second hunting location may be greater than the predicted automatic hunting value (420) at the first hunting location. Alternatively, if other conditions are the same and the congestion level of the first hunting location is 'congestion' and the congestion level of the second hunting location is 'free', the automatic hunting predicted value 420 of the first hunting location is higher than that of the second hunting location. The automatic hunting predicted value (420) may be larger.

In another embodiment, the game server 2000 provides an automatic hunting prediction value 420 based on user character information, hunting location information for the desired hunting location, and hunting time information 410, and provides the congestion and difficulty level of the desired hunting location. At least one of them can be provided along with the automatic hunting prediction value (420).

The game server 2000 according to one embodiment can increase user convenience by providing an automatic hunting prediction value 420 according to a time set by the user.

Figure 5 is a diagram for explaining an example of providing expected item exhaustion information according to an embodiment.

The user may input hunting time information 510 through the user terminal 1000. Hunting time information 510 may include hunting start time and hunting end time.

The game server 2000 may provide an automatic hunting prediction value 520 based on user character information, hunting location information about a desired hunting location, and hunting time information 510.

In one embodiment, the game server 2000 may provide expected item exhaustion information 521 based on user character information, hunting location information about a desired hunting location, and hunting time information 510. In addition, the game server 2000 further considers at least one of the congestion level and difficulty of the desired hunting location in addition to the user character information, hunting location information, and hunting time information about the desired hunting location (510), and provides expected item exhaustion information (521). can be provided.

The expected item exhaustion information 521 may include information about items exhausted while the user character hunts at the desired hunting location for a set time. For example, the item expected exhaustion information 521 includes quantity exhaustion information of recovery items (e.g., stamina recovery items, magic recovery items, etc.) and durability exhaustion information of worn items (e.g., weapons, armor, etc.). May be included.

In one embodiment, the game server 2000 may suggest the purchase of a necessary item to the user character based on the expected item exhaustion information 521.

When the user terminal 1000 receives an input for selecting the expected item exhaustion information 521 from the user, the user terminal 1000 may transmit a signal that the expected item exhaustion information 521 has been selected to the game server 2000. . The game server 2000 responds to a signal that the expected item exhaustion information 521 is selected, displays the store 530 corresponding to the expected item exhaustion information 521 on the user terminal 1000, and provides the user character with the necessary items. purchase can be proposed.

Referring to FIG. 5, when the game server 2000 receives a signal from the user terminal 1000 that the user has selected the information that 'Big Treatment Potion: 500' is exhausted, the game server 2000 A purchase screen of a potion store, which is a store 530 where a 'potion' can be purchased, can be displayed on the user terminal 1000. As a result, the user can easily purchase 'big healing potion' at the store 530.

Alternatively, the game server 2000 may suggest repairing the durability of the worn item using the item expected exhaustion information 521. In this case, when the game server 2000 receives a signal from the user terminal 1000 that the user has selected 'repair the durability of the worn item', the game server 2000 can 'repair the durability of the worn item'. The durability repair screen of the blacksmith shop (530) can be displayed on the user terminal (1000).

The game server 2000 according to one embodiment can increase user convenience by providing information on items that are exhausted during automatic hunting and providing a process through which users can easily purchase exhausted items.

Figure 6 is a diagram for explaining an example of providing a character development method according to an embodiment.

The user may input hunting time information 610 through the user terminal 1000. Hunting time information 610 may include hunting start time and hunting end time.

The game server 2000 may provide an automatic hunting prediction value 620 based on user character information, hunting location information about a desired hunting location, and hunting time information 610. Additionally, the game server 2000 may determine the difficulty level of the desired hunting location based on user character information and hunting location information about the desired hunting location. Specifically, the game server 2000 compares user character information and hunting location information to calculate the time the user character can continue hunting without dying at the hunting location, and adjusts the difficulty of the hunting location based on the calculated time. You can decide.

In one embodiment, the game server 2000 may provide a method for developing a user character based on the determined difficulty level. For example, if the difficulty of the first hunting location, which is the desired hunting location, is determined to be 'high', this may mean that the time for the user character to continue hunting without dying at the first hunting location is short. The game server 2000 provides at least one of the user character's item information, stat information, skill information, and level information, and at least one of the attack power, defense power, monster gen time, and monster density of the monster that appears at the desired hunting location. By comparing and analyzing the information, it is possible to provide a training plan that allows the user character to hunt for a longer period of time without dying at the desired hunting location.

For example, as a training method, the game server 2000 provides information that the user character's level should be increased by +5, recommends an item that can increase the user character's attack power by +10, or recommends that the user character's level should be increased by +5. It is possible to provide a way to develop user characters by recommending skills that can be learned.

When the user character completes the training plan provided by the game server 2000, assuming that other conditions are the same, the game server 2000 sets the difficulty level of the first hunting location to 'medium' based on the user character information and hunting location information. ' or 'Ha' can be decided.

The game server 2000 according to one embodiment can increase the user's satisfaction with automatic hunting play by providing a method for developing the user character according to the automatic hunting difficulty so that the user character does not die during automatic hunting.

FIG. 7 is a diagram illustrating an example of providing an automatic hunting predicted value in consideration of congestion over time according to an embodiment.

The game server 2000 may use hunting location information to determine the level of congestion for each hunting location. The determined congestion level may be included in the hunting location information.

The level of congestion at a hunting location may vary depending on the time of day. Specifically, the time zone at which users flock to each hunting location may be different, or the zen time of monsters appearing at each hunting location may vary depending on the time, so the congestion level of the hunting location may vary depending on the time. For example, some hunting locations are most crowded in the afternoon (12:00-18:00) and least crowded in the evening (18:00-24:00), while other hunting locations are busy in the morning (12:00-18:00). 06:00~12:00) may have the highest congestion, and afternoon hours (12:00~18:00) may have the lowest congestion.

Meanwhile, congestion can be classified into 'very crowded', 'congested', 'normal', and 'relaxed', but the classification method is not limited to these.

The game server 2000 may determine the congestion level for each time slot for each of the plurality of hunting locations. The game server 2000 may determine the level of congestion by time slot for each of the plurality of hunting locations based on the number of users per time slot hunting at each hunting location and the monster gen time of each hunting location. The game server 2000 can determine the congestion level by time period, such as morning, afternoon, evening, or dawn, or by unit time, such as 1 hour, 2 hours, or 30 minutes. Additionally, the game server 2000 may determine hourly congestion based on the time when congestion significantly changes.

The game server 2000 may determine the level of congestion by considering the level of congestion that changes over time from the start time of the hunt to the end time of the hunt.

Referring to Figure 7, the congestion level of the first hunting location by time is shown. The congestion level of the first hunting site is ‘relaxed’ from 05:00 to 10:00, ‘normal’ from 10:00 to 17:00, ‘congested’ from 17:00 to 22:00, and ‘congested’ from 22:00 to 02:00. may be 'very crowded' and from 02:00 to 05:00 may be 'normal'.

At this time, if the user sets the hunting start time to 01:00 and the hunting end time to 03:00, the congestion level from 01:00 to 02:00 is 'very crowded' and the congestion level from 02:00 to 03:00 is 'very crowded'. Considering that it is 'normal', the game server 2000 may determine the congestion level to be 'congestion'. Alternatively, if the user sets the hunting start time to 08:00 and the hunting end time to 12:00, the congestion level is 'leisure' from 08:00 to 10:00 and the congestion level is 'moderate' from 10:00 to 12:00. Considering this, the game server 2000 may determine the congestion level to be 'slightly generous'.

Meanwhile, the game server 2000 may provide an automatic hunting prediction value based on user character information, hunting location information, hunting time information, and congestion. Additionally, the game server 2000 may determine the difficulty level of the hunting location based on user character information, hunting location information, and congestion.

Referring to FIG. 7, assuming that other conditions are the same, when the congestion level is 'congested', the game server 2000 sets the difficulty level lower and the acquired experience points and acquired gold compared to the case where the congestion level is 'slightly relaxed'. You can decide on less.

The game server 2000 according to one embodiment provides an automatic hunting predicted value based on the level of congestion that changes over time, thereby increasing the user's play satisfaction by preventing the user from experiencing unexpected situations during automatic hunting. You can.

Figure 8 is a diagram for explaining an example of automatically recommending a hunting location customized to the user according to an embodiment.

User character information 810 may be stored in the game server 2000. The user character information 810 may include item information and stat information owned by the user character. Additionally, the user character information 810 may further include skill information, but the information that may be included in the user character information 810 is not limited to the above examples.

The user terminal 1000 may receive an automatic hunting target value 820 from the user and transmit the automatic hunting target value 820 to the game server 2000. The automatic hunting target value 820 may include at least one of target experience, target goods, and hunting time, but is not limited thereto.

Additionally, the user terminal 1000 may receive hunting time information 821 from the user and transmit the hunting time information 821 to the game server 2000. Hunting time information 821 may include total hunting time, or may include hunting start time and hunting end time, but is not limited thereto.

The game server 2000 may provide a recommended hunting location 830 based on user character information 810 and automatic hunting target value 820. Additionally, the game server 2000 may provide a recommended hunting location 830 by considering hunting time information 821.

Referring to FIG. 8, the user terminal 1000 receives 'target experience: 50,000 exp' as the automatic hunting target value 820 and '3 hours' as the hunting time information 821, and sends them to the game server 2000. It can be sent to .

The game server 2000 may provide a first hunting location as a recommended hunting location 830 based on 'target experience: 50,000exp' and '3 hours' received from the user terminal 1000. That is, the game server 2000 selects the first hunting location as the recommended hunting location 830 as a hunting location where 'target experience point: 50,000 exp' can be obtained during the hunting time of '3 hours' among the plurality of hunting locations. can be provided.

The game server 2000 may provide difficulty and congestion levels along with recommended hunting locations. For example, the game server 2000 may determine the difficulty level of the first hunting location as 'high' and the congestion level as 'normal' and provide these.

Additionally, the game server 2000 may provide the remaining auto-hunt predicted values in addition to the auto-hunt predicted value received as the auto-hunt target value 820. For example, the game server 2000 may not receive the target gold as the automatic hunting target value 820, but may provide information about the gold that can be obtained by hunting for 3 hours at the first hunting location.

The game server 2000 according to one embodiment may recommend a user-customized automatic hunting location based on user character information 810, automatic hunting target value 820, and hunting time information 821.

FIG. 9 is a diagram illustrating an example of providing filtering and sorting functions for recommended hunting locations according to an embodiment.

User character information may be stored in the game server 2000. The user terminal 1000 may receive an automatic hunting target value from the user and transmit the automatic hunting target value to the game server 2000. Additionally, the user terminal 1000 may receive hunting time information from the user and transmit the hunting time information to the game server 2000.

The game server 2000 may provide recommended hunting locations based on user character information and automatic hunting target values. Additionally, the game server 2000 may provide recommended hunting locations by considering hunting time information.

In one embodiment, the game server 2000 may provide a list of recommended hunting locations 910 based on user character information and automatic hunting target values. The recommended hunting location list 910 may include hunting locations that meet the automatic hunting target value.

Referring to FIG. 9, the automatic hunting target value may be 'experience value: 50,000 exp'. In this case, the game server 2000 may include the time required for each hunting location to acquire 'experience points: 50,000exp' in the list 910. Additionally, the game server 2000 may include information on goods (eg, gold) that can be acquired while acquiring 'experience points: 50,000exp' in the list 910. Additionally, the game server 2000 may include at least one of the difficulty and congestion of each hunting location in the list 910.

The game server 2000 may sort and provide a plurality of recommended hunting locations included in the recommended hunting location list 910 according to user settings for at least one of the automatic hunting target value, congestion level, and difficulty level.

Referring to FIG. 9, the game server 2000 may provide a plurality of recommended hunting locations included in the recommended hunting location list 910 by sorting them in 'descending order of difficulty' according to user settings. Alternatively, the game server 2000 may provide a plurality of recommended hunting locations included in the recommended hunting location list 910 by sorting them in 'increasing order of gold acquisition amount' according to user settings. Alternatively, the game server 2000 may provide a plurality of recommended hunting locations included in the recommended hunting location list 910 by sorting them in 'increasing order of time required' according to user settings.

Additionally, the game server 2000 may filter and provide only some of the plurality of recommended hunting locations included in the recommended hunting location list 910 according to user settings. For example, the game server 2000 may filter and provide only hunting locations with 'duration: less than 2 hours and 30 minutes' among a plurality of recommended hunting locations included in the recommended hunting location list 910 according to user settings. there is. Alternatively, the game server 2000 may filter and provide only hunting locations with 'gold acquisition amount: 10,000 gold or more' among a plurality of recommended hunting locations included in the recommended hunting location list 910 according to user settings.

FIG. 10 is a diagram for explaining an example of providing a teleportation function according to an embodiment.

Hereinafter, descriptions that overlap with those of FIG. 4 will be omitted.

The teleportation function 1030 may refer to a function that moves the user character from the current location to a recommended hunting location.

When the user terminal 1000 receives an input for selecting the teleport function 1030 from the user, the user terminal 1000 may transmit a signal indicating that the teleport function 1030 has been selected to the game server 2000.

The game server 2000 may move the user character from the current location to the recommended hunting location in response to a signal from the user terminal 1000 that the teleport function 1030 has been selected.

In one embodiment, only users who have purchased a teleportation service capable of using the teleportation function 1030 can use the teleportation function 1030. Users can pay for the teleportation service through a monthly payment method or a per-use payment method, but the payment method is not limited to this.

Figure 11 is a flowchart showing a method of providing automatic hunting prediction values customized to the user according to an embodiment.

Referring to FIG. 11, in step 1110, the game server 2000 may obtain user character information.

User character information may include, but is not limited to, item information, stat information, and skill information. Additionally, user character information may be obtained from a game server or user terminal, but is not limited thereto.

In step 1120, the game server 2000 may receive a desired hunting location from the user terminal 1000.

Location information about the desired hunting location may include, but is not limited to, the hunting location name, monsters that appear, monster gen time, obtainable goods, and hunting location level.

In step 1130, the game server 2000 may provide an automatic hunting predicted value based on user character information and hunting location information about the desired hunting location.

The automatic hunting prediction value may include information about the experience points that can be obtained per hour and the gold that can be obtained per hour. In addition, the automatic hunting result value may include how many other goods that can be obtained at the desired hunting location in addition to gold can be acquired per hour, or what the probability of obtaining other goods per hour is. However, the information included in the automatic hunting result value is not limited to this.

In one embodiment, the game server 2000 may determine the congestion level of the desired hunting location based on the number of other users of the desired hunting location and the number of monsters in the desired hunting location. The game server 2000 may provide automatic hunting prediction values based on user character information, hunting location information, and congestion.

In one embodiment, the game server 2000 may determine the difficulty level of a desired hunting location based on user character information and hunting location information. The game server 2000 may provide automatic hunting prediction values based on user character information, hunting location information, and difficulty level. The difficulty level may reflect information on the time that the user character can continue hunting without dying.

In one embodiment, the game server 2000 may receive hunting time information from the user terminal 1000. The game server 2000 may provide an automatic hunting prediction value based on user character information, hunting location information, hunting time information, and congestion.

In one embodiment, the game server 2000 may provide expected item exhaustion information based on user character information, hunting location information, hunting time information, and congestion. Additionally, the game server 2000 may suggest purchasing a necessary item based on the expected item exhaustion information.

In one embodiment, the game server 2000 may provide a method for developing a user character based on difficulty.

In one embodiment, the game server 2000 may determine the level of congestion that changes over time from the hunting start time to the hunting end time. The game server 2000 may provide an automatic hunting prediction value based on user character information, hunting location information, hunting time information, and congestion.

Figure 12 is a flowchart showing a method of automatically recommending a hunting location customized to the user according to an embodiment.

Referring to FIG. 12, in step 1210, the game server 2000 may obtain user character information.

User character information may include, but is not limited to, item information, stat information, and skill information. Additionally, user character information may be obtained from a game server or user terminal, but is not limited thereto.

In step 1220, the game server 2000 may receive the automatic hunting target value from the user terminal 1000.

The automatic hunting target value 820 may include at least one of target experience, target goods, and hunting time, but is not limited thereto.

In step 1230, the game server 2000 may provide a recommended hunting location based on user character information and the automatic hunting target value.

In one embodiment, the game server 2000 may receive hunting time information from the user terminal 1000. The game server 2000 may provide recommended hunting locations based on user character information, automatic hunting target value, and hunting time information.

In one embodiment, the game server 2000 may determine the congestion level of the recommended hunting location based on the number of third-party users of the recommended hunting location and the number of monsters in the recommended hunting location. The game server 2000 may provide the determined congestion level together with the recommended hunting location.

In one embodiment, the game server 2000 may determine the difficulty level of the recommended hunting location based on user character information and the recommended hunting location, and provide the determined difficulty level together with the recommended hunting location. The difficulty level may reflect information on the time that the user character can continue hunting without dying.

In one embodiment, the game server 2000 may sort or filter a plurality of recommended hunting locations and provide them according to user settings for at least one of the automatic hunting target value, congestion level, and difficulty level.

In one embodiment, the game server 2000 receives a teleport request requesting to move the user character to a recommended hunting location from a user terminal, and moves the user character to the recommended hunting location in response to receiving the teleport request. You can.

Figure 13 is a block diagram of a server according to one embodiment.

The server 1300 of FIG. 13 may be a game server 2000.

Referring to FIG. 13, the server 1300 may include a communication unit 1310, a processor 1320, and a DB 1330. In the server 1300 of FIG. 13, only components related to the embodiment are shown. Accordingly, those skilled in the art can understand that other general-purpose components may be included in addition to the components shown in FIG. 13.

The communication unit 1310 may include one or more components that enable wired/wireless communication with other nodes. For example, the communication unit 1310 may include at least one of a short-range communication unit (not shown), a mobile communication unit (not shown), and a broadcast receiver (not shown).

The DB 1330 is hardware that stores various data processed within the server 1300, and can store programs for processing and control of the processor 1320. DB 1330 can store payment information, user information, etc.

The DB 1330 is a random access memory (RAM) such as dynamic random access memory (DRAM), static random access memory (SRAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), CD- It may include ROM, Blu-ray or other optical disk storage, a hard disk drive (HDD), a solid state drive (SSD), or flash memory.

The processor 1320 controls the overall operation of the server 1300. For example, the processor 1320 can generally control the input unit (not shown), display (not shown), communication unit 1310, DB 1330, etc. by executing programs stored in the DB 1330. The processor 1320 can control the operation of the server 1300 by executing programs stored in the DB 1330. The processor 1320 may control at least some of the operations of the game server 2000 or the mediation server 3000 described above with reference to FIGS. 1 to 12 .

The processor 1320 includes application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, and microcontrollers. It may be implemented using at least one of micro-controllers, microprocessors, and other electrical units for performing functions.

Embodiments according to the present invention may be implemented in the form of a computer program that can be executed through various components on a computer, and such a computer program may be recorded on a computer-readable medium. At this time, the media includes magnetic media such as hard disks, floppy disks, and magnetic tapes, optical recording media such as CD-ROMs and DVDs, magneto-optical media such as floptical disks, and ROM. , RAM, flash memory, etc., may include hardware devices specifically configured to store and execute program instructions.

Meanwhile, the computer program may be designed and configured specifically for the present invention, or may be known and available to those skilled in the art of computer software. Examples of computer programs may include not only machine language code such as that created by a compiler, but also high-level language code that can be executed by a computer using an interpreter or the like.

According to one embodiment, methods according to various embodiments of the present disclosure may be included and provided in a computer program product. Computer program products are commodities and can be traded between sellers and buyers. The computer program product may be distributed in the form of a machine-readable storage medium (e.g. compact disc read only memory (CD-ROM)) or through an application store (e.g. Play StoreTM) or between two user devices. It may be distributed in person or online (e.g., downloaded or uploaded). In the case of online distribution, at least a portion of the computer program product may be at least temporarily stored or temporarily created in a machine-readable storage medium, such as the memory of a manufacturer's server, an application store's server, or a relay server.

Claims (18)

In a method of providing user-customized automatic hunting predictions performed by a game server,
An operation to obtain user character information;
An operation of receiving a desired hunting location from a user terminal;
An operation of determining a difficulty level of the desired hunting location based on the user character information and hunting location information about the desired hunting location;
Calculating an automatic hunting prediction value based on the user character information and the hunting location information; and
An operation of providing the calculated automatic hunting prediction value and the determined difficulty level to the user terminal;
Including,
The method wherein the difficulty reflects time information during which the user character can continue hunting without dying. According to claim 1,
The above method is,
An operation of determining a congestion level of the desired hunting location based on the hunting location information of the desired hunting location;
It further includes,
The operation of calculating the automatic hunting predicted value is,
calculating the automatic hunting predicted value based on the user character information, the hunting location information, and the congestion level;
Method, including. According to claim 2,
The operation of determining the congestion level is,
determining a degree of congestion of the desired hunting location based on at least one of the number of other users per unit area of the desired hunting location, the number of monsters, and the monster gen time;
Method, including. delete According to claim 2,
The above method is,
Receiving hunting time information from the user terminal;
It further includes,
The operation of calculating the automatic hunting predicted value is,
Calculating the automatic hunting predicted value based on the user character information, the hunting location information, the hunting time information, and the congestion level;
Method, including. According to claim 5,
The above method is,
An operation of providing expected item exhaustion information based on the user character information, the hunting location information, the hunting time information, and the congestion level;
A method further comprising: According to claim 6,
The above method is,
An operation of proposing the purchase of a necessary item based on the item expected exhaustion information;
A method further comprising: According to claim 1,
The above method is,
providing a method for developing the user character based on the level of difficulty;
A method further comprising: According to claim 5,
The hunting time information includes a hunting start time and a hunting end time,
The above method is,
An operation of determining a congestion level by considering the congestion level that changes as time passes from the hunting start time to the hunting end time;
It further includes,
The operation of calculating the automatic hunting predicted value is,
Calculating the automatic hunting prediction value based on the user character information, the hunting location information, the hunting time information, and the congestion level;
Method, including. In a game server that provides customized automatic hunting predictions,
A communication unit that performs communication with a user terminal;
a memory in which at least one program is stored; and
A processor that performs calculations by executing the at least one program,
The communication unit receives a desired hunting location from the user terminal,
The processor,
Obtain user character information,
Based on the user character information and hunting location information for the desired hunting location, determine the difficulty level of the desired hunting location,
Calculate an automatic hunting prediction value based on the user character information and the hunting location information,
The calculated automatic hunting prediction value and the determined difficulty level are provided to the user terminal,
The difficulty level is a game server that reflects the time information for which the user character can continue hunting without dying. In the method of recommending automatic hunting locations customized to the user performed by the game server,
An operation to obtain user character information;
An operation of receiving an automatic hunting target value from a user terminal;
An operation of determining a recommended hunting location based on the user character information and the automatic hunting target value;
determining a difficulty level of the recommended hunting location based on the user character information and the recommended hunting location; and
providing the determined difficulty level to the user terminal along with the recommended hunting location;
Including,
The method wherein the difficulty reflects time information during which the user character can continue hunting without dying. According to claim 11,
The above method is,
Receiving hunting time information from the user terminal;
It further includes,
The operation of determining the recommended hunting location is,
determining the recommended hunting location based on the user character information, the automatic hunting target value, and the hunting time information;
Method, including. According to claim 11,
The above method is,
determining a congestion level of the recommended hunting location based on the number of third-party users of the recommended hunting location and the number of monsters in the recommended hunting location; and
providing the determined congestion along with the recommended hunting location;
A method further comprising: delete According to claim 13,
The operation of determining the recommended hunting location is,
Sorting or filtering and determining a plurality of recommended hunting locations according to user settings for at least one of the automatic hunting target value, the congestion level, and the difficulty level;
A method further comprising: According to claim 11,
The above method is,
Receiving a teleport request requesting to move the user character to the recommended hunting location from the user terminal; and
In response to receiving the teleport request, moving the user character to the recommended hunting location;
Method, including. In the game server that recommends automatic hunting locations customized to the user,
A communication unit that performs communication with a user terminal;
a memory in which at least one program is stored; and
A processor that performs calculations by executing the at least one program,
The communication unit receives an automatic hunting target value from the user terminal,
The processor,
Obtain user character information,
Based on the user character information and the automatic hunting target value, determine a recommended hunting location,
Based on the user character information and the recommended hunting location, determine the difficulty level of the recommended hunting location,
The determined difficulty level is provided to the user terminal along with the recommended hunting location,
The difficulty level is a game server that reflects the time information for which the user character can continue hunting without dying. A computer-readable recording medium recording a program for executing the method of claim 1 or 11 on a computer.

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