KR20200031917A - Management system for cherry picker - Google Patents

Abstract

Disclosed is a system for managing an event malicious user for enhancing marketing effect. The system comprises: a user analysis unit analyzing event users; a user determination unit determining the event users as malicious users or general users based on an analysis result; and a participation restricting unit permitting participation of the malicious users for some of a plurality of events and restricting participation of the malicious users for rest of the events.

Description

Event malicious user management system to improve marketing effectiveness {Management system for cherry picker}

The present invention relates to an event for marketing, and more particularly, to a technique for managing malicious users using the event.

The term cherry picker refers to a malicious user who only aims for an event prize without marketing assistance. In particular, in the case of an event to which a game is applied, the game ability of a malicious user is so high that it is highly likely to discourage general audiences from participating in the event by reading only various prizes without contributing to marketing activities. However, it is inevitable that cherry pickers gather at an event, and if you treat them negatively, such as avoiding or blocking them, there is a possibility that they will turn into malicious anti-customers.

Korean Patent Publication No. 10-2014-0095173 (published on August 1, 2014)

An object of the present invention is to provide an event malicious user management system and method for allowing malicious users to have a positive effect.

The event malicious user management system for enhancing the marketing effect according to an aspect includes a user analysis unit analyzing event users, a user determination unit determining event users as malicious users or general users based on the analysis results, and a plurality of events Among them, it may include a participant restriction that allows participation of malicious users for some events, and disallows participation of malicious users for other events.

The event malicious user management system may further include a rating determining unit for determining the rating of malicious users, and the participation restriction unit may allow or limit participation of some events according to the rating of the malicious users.

The user analysis unit may include a participation action analysis unit that analyzes event participation behavior of event users.

Participating behavior analysis unit participates in the event with at least some of the first participation score per event user, the price of the participation event, the winning rate, the number of attendance, the time per event, the time of participation, the number of game executions, the bias of participating events, the number of points acquired, the number of winnings Can be analyzed.

The user analysis unit may further include a contribution action analysis unit that analyzes the marketing contribution behavior of event users.

The contributing behavior analysis unit may analyze marketing contributing behavior with at least some indicators among commenting, posting, response speed, number of attendance, number of shopping, response rate, attendance check count, advertisement view, sympathy rate, sharing by event user.

On the other hand, the event malicious user management method for enhancing the marketing effect according to an aspect includes analyzing event users, determining event users as malicious users or general users based on the analysis results, and some of a plurality of events It may include allowing malicious users to participate in the event, and disallowing malicious users to participate in the remaining events.

According to the present invention, by not blocking malicious users who are good at games, the negative effects are minimized, and by competing among them, the group of malicious users reduces the probability of winning and encourages them to act positively with pride in high game scores. You can. In addition, the act of marketing support can be converted into a general user, which can induce marketing support and make it a friendly force.

In addition, general users can also compete with each other, thereby increasing the expectation of winning, and if desired, even a group of malicious users can compete, thereby maintaining the pride of game skills.

1 is a block diagram of an event malicious user management system according to an embodiment.
2 is a block diagram of a management server according to an embodiment.
3 is a diagram illustrating an event participation behavior characteristic analysis result in a radial chart.
4 is a diagram illustrating a result of analyzing marketing contribution behavior characteristics in a radial chart.
5 is an example of an event screen.
6 is a flowchart of an event malicious user management method according to an embodiment.
7 is a flowchart of a method for retrieving an event user according to an embodiment.

The above-described and additional aspects of the present invention will become more apparent through preferred embodiments described with reference to the accompanying drawings. Hereinafter, the present invention will be described in detail so that those skilled in the art can easily understand and reproduce through the examples.

1 is a block diagram of an event malicious user management system for enhancing marketing effect according to an embodiment. The user terminal 100 is a communication terminal having a computing function, and may be a mobile terminal such as a smartphone. The user may participate in an event provided by the management server 200 using the user terminal 100. The management server 200 may be a server system including a web server, a web application server (Web Application Server, WAS), and a database server. The management server 200 may be operated under various operating systems including, but not limited to, a Windows-based operating system or MacOS, Java, UNIX, or Linux. The management server 200 provides an event to the user terminal 100. The event may be a game-based event. The management server 200 according to an aspect analyzes event users, determines whether the user is a malicious user or a general user based on the analysis result, and in the case of a malicious user, partially restricts participation in the event.

Meanwhile, the network may include a plurality of heterogeneous networks, and may support a plurality of communication protocols. For example, the network supports at least some of the communication protocols such as TCP / IP, IPX, SPX, NetBIOS, Ethernet, ARCNET, Fiber Distributed Date Interface (FDDI), IEEE 802.11, IEEE 802.11a, and direct synchronization connection. The user terminal 100 and the management server 200 may perform data communication through such a network.

2 is a block diagram of a management server according to an embodiment. The communication unit 210 is a configuration for network communication with the member terminals 100, and supports one or more communication protocols. For example, the communication unit 210 may include at least some of communication protocols such as TCP / IP, IPX, SPX, NetBIOS, Ethernet, ARCNET, Fiber Distributed Date Interface (FDDI), IEEE 802.11, IEEE 802.11a, and direct synchronization connection. Apply. The storage unit 220 is a memory for storing data, programs, and the like. The storage unit 220 is a medium for storing instructions, data and programs, and may include one or more memories. The storage unit 220 may store content required to provide an event to a user. The user input / output unit 230 provides a user input interface and a user output interface. As a user input interface, a touch panel may be exemplified, and as a user output interface, OLED (Organic Light Emitting Diodes), TFT-LCD (Thin Film Transistor-Liquid Crystal Disaply), and the like may be exemplified. In addition, the touch panel and the display may be integrally combined to be provided in the form of a touch screen.

The control unit 240 may include hardware and an operating system including one or more processors. As illustrated in FIG. 2, the control unit 240 may include a user analysis unit 241, a user determination unit 242, and a participation restriction unit 243, and may further include a rating determination unit 244. have. These can all be implemented in software, and can be executed and executed by a processor. The user analysis unit 241 analyzes each behavior of the event users. In one embodiment, the user analysis unit 241 includes a participation behavior analysis unit 241-1. In addition, the user analysis unit 241 may further include a contribution behavior analysis unit 241-2.

Participation behavior analysis unit 241-1 analyzes the event participation behavior of event users. In one embodiment, the participation behavior analysis unit 241-1, the first participation score for each event user, the participation event prize price, the winning rate, the number of attendance, the time per event, the time of participation, the number of game execution, the bias of the participation event, the acquisition Event participation behavior is analyzed with at least some of the participation behavior indicators among scores and number of winnings. Here, the participating event may mean a game event. In one embodiment, the participant behavior analysis unit 241-1 calculates the scores quantified for each indicator, and analyzes the event user's event participation behavior characteristics based on the scores calculated for each indicator. For example, the participation behavior analysis unit 241-1 analyzes distribution characteristics of all indicators after displaying the quantified scores for each indicator on the radial chart as shown in FIG. 3.

The contribution behavior analysis unit 241-2 analyzes the marketing contribution behavior of event users. In one embodiment, the contributing behavior analysis unit 241-2 is at least among comments, postings, reaction speed, attendance, shopping, response rate, attendance check, advertisement view, sympathy rate, sharing by event user We analyze marketing contribution behaviors as a part of contribution behavior indicators. In one embodiment, the contribution behavior analysis unit 241-2 calculates the scores quantified for each indicator, and analyzes the marketing contribution behavior characteristics of the event user based on the scores calculated for each indicator. For example, the contributing behavior analysis unit 241-2 analyzes distribution characteristics of all indicators after displaying the quantified scores for each indicator on the radial chart as shown in FIG. 4.

The user determination unit 242 determines whether the user is a malicious user or a general user based on the analysis result of the user analysis unit 241. In one embodiment, the user determination unit 242 determines whether the user is a malicious user based on the analysis result of the participation behavior analysis unit 241-1. For example, the user determining unit 242 determines whether the user is a malicious user or a general user according to the distribution characteristics of the participation behavior indicators, as shown in FIG. 3, when the distribution of all indicators is evenly distributed. It is judged to be a user, otherwise it is judged to be a general user. In another embodiment, the user determination unit 242 determines whether the user is a malicious user by synthesizing the analysis results of the participation behavior analysis unit 241-1 and the contribution behavior analysis unit 241-2. . For example, the user determination unit 242 determines that the distribution characteristics of the participation behavior indicators are the same as in FIG. 3 and the distribution characteristics of the contribution behavior indicators are the malicious users when they are concentrated inwards as shown in FIG. 4, otherwise the general It is judged to be a user.

Participation restriction unit 243 allows the participation of malicious users for some of the plurality of events, and for the remaining events, the participation of malicious users. That is, the participation limiter 243 partially restricts the participation of malicious users in the event. The event participation screen is shown in FIG. 5. 5 (a) illustrates events in which users can participate. A total of four events are exemplified. The event marked with 'R' indicates an event that only rookies (general users) can participate in. Therefore, a malicious user can select and participate in an event without an 'R' mark. When the upper left event is selected in FIG. 5 (a), an event participation screen as shown in FIG. 5 (b) is displayed, and when the lower right event is selected in FIG. 5 (a), the event as in FIG. 5 (c) The participation screen is displayed. If the malicious user selects the upper left event or the lower left event in FIG. 5 (a), a screen including a message indicating that the user cannot participate in the event is displayed as shown in FIG. 5 (d).

According to the above, it is possible to convert malicious users into friendly forces by allowing them to compete by participating in events in their own league, rather than unconditionally rejecting malicious users. In addition, even a malicious user can be converted into a general user by doing a lot of marketing contributing acts, so that it is possible for a malicious user to have a positive influence on marketing.

The rating determining unit 244 determines the rating of malicious users. In one embodiment, the rating determining unit 244 determines the rating differently according to the analysis result of the participating behavior analysis unit 241-1. For example, the rating determining unit 244 determines the higher rating as the participation behavior indicators are evenly and widely distributed on the radial chart. In another embodiment, the rating determining unit 244 determines the rating differently according to the analysis result of the participation behavior analysis unit 241-1 and the contribution behavior analysis unit 241-2. For example, the rating determining unit 244 determines a higher grade as the participation behavior indicators are evenly distributed on the radial chart and the contribution behavior indicators are concentrated inward on the radial chart. According to this, the rating can be determined differently among malicious users. In addition, the participation restriction unit 243 may allow or restrict participation in some events according to the rating of malicious users. In this case, malicious users will compete with the same or similar ratings.

Meanwhile, when the behavior of the event users is newly analyzed by the user analysis unit 241, the user determination unit 242 may again determine whether the event users are malicious users or general users. At this time, in the case of a malicious user, the user analysis unit 241 may analyze the user's behavior with the participation behavior indicators, or the participation behavior indicators and the contribution behavior indicators since the point of transition from the general user to the malicious user. According to this, the malicious user can be converted into a general user. Of course, the ratings of the malicious users may also be readjusted by the rating determining unit 244.

6 is a flowchart of an event malicious user management method according to an embodiment. The controller 240 analyzes an event-related behavior for each event user (S100). In S100, the control unit 240 collects event participation behavior information of the event user (S101), and analyzes the event participation behavior characteristics of the event user based on the collected event participation behavior information (S102). In one embodiment, the control unit 240 collects event participation behavior information for a period of time. Event participation information includes at least some indicators from the initial participation score for each event user, the prize price of the participating event, the winning rate, the number of attendance, the participating time per event, the starting point of the event, the number of game executions, the bias of participating events, the number of points acquired, and the number of winnings. Indicators). In addition, the control unit 240 may calculate the scores quantified for each of the participation activity indicators, and analyze the event participation behavior characteristics of the event user based on the scores calculated for each indicator.

In addition, the control unit 240 may collect the marketing contribution behavior information of the event user in S100 (S103), and analyze the characteristics of the marketing contribution behavior of the event user based on the collected marketing contribution behavior information (S104). In one embodiment, the control unit 240 collects marketing contribution behavior information for a specific period of the past. Marketing contribution behavior information may include at least some indicators (contribution behavior indicators) among commenting, number of postings, reaction speed, number of attendance, number of shopping, response rate, number of attendance checks, advertisement view, sympathy rate, and sharing. In addition, the control unit 240 may calculate the scores quantified for each of the contribution behavior indicators, and analyze the characteristics of the marketing behavior of the event user based on the scores calculated for each indicator.

The control unit 240 determines whether the event user is a malicious user or a general user based on the analysis result in S100 (S110). The control unit 240 may determine whether the user is a malicious user based on the event participation behavior characteristic analysis result only, or the user may be a malicious user based on the event participation behavior characteristic analysis result and marketing contribution behavior characteristic analysis result. If it is determined to be a malicious user, the control unit 240 may limit the malicious user's participation in the event (S120). That is, the control unit 240 allows the participation of malicious users for some of the entire events, and disallows the participation of malicious users for the remaining events. Meanwhile, the control unit 240 may determine the rating of malicious users, and may restrict the participation of events differently according to the rating.

7 is a flowchart of a method for retrieving an event user according to an embodiment. FIG. 7 also shows a process for retrieving a malicious user after determining whether the event user is a malicious user or a general user as shown in FIG. 6 as a part of the method for managing the event malicious user. 7 may be performed at predetermined intervals or according to an instruction of an administrator who manages the management server 200. The control unit 240 analyzes the behavior related to the event for each malicious user (S200). S200 may include S201 and S202, and may further include S203 and S204. S200 may be substantially the same as S100 of FIG. 6, but the target period collected in at least one of S201 and S203 may be different from FIG. 6.

The control unit 240 determines whether the user is still a malicious user based on the analysis result in S200 (S210). The control unit 240 may determine whether the user is a malicious user based only on the event participation behavior characteristic analysis result, or the event participation behavior characteristic analysis result and marketing contribution behavior characteristic analysis result. If it is determined that the user is not a malicious user, the controller 240 converts the user to a general user and manages it (S220). If it is determined to be a malicious user, the control unit 240 determines the rating of the malicious user (S230). Grade determination is as described above. The control unit 240 determines whether it is different by comparing the rating determined in S230 with the previous rating of the malicious user (S240). If different, the control unit 240 adjusts the rating of the malicious user to the rating determined in S230 (S250).

On the other hand, in FIG. 7, for convenience of explanation, the trial process is targeted only to malicious users, but of course, a trial can be made for the general user, and the general user can be converted to a malicious user according to the result of the trial. The process can be sufficiently understood from FIG. 7, and detailed description will be omitted.

So far, the present invention has been focused on the preferred embodiments. Those skilled in the art to which the present invention pertains will understand that the present invention can be implemented in a modified form without departing from the essential characteristics of the present invention. Therefore, the disclosed embodiments should be considered in terms of explanation, not limitation. The scope of the present invention is shown in the claims rather than the foregoing description, and all differences within the equivalent range should be interpreted as being included in the present invention.

100: user terminal 200: management server
210: communication unit 220: storage unit
230: user input / output unit 240: control unit
241: user analysis unit 241-1: participatory behavior analysis unit
241-2: Contributing behavior analysis unit 242: User judgment unit
243: Participation restriction part 244: Rating decision part

Claims (7)

A user analysis unit analyzing event users;
A user determination unit that determines event users as malicious users or general users based on the analysis results; And
Participation restriction unit that allows the participation of malicious users for some of the plurality of events, and disallows the participation of malicious users for the remaining events;
Event malicious user management system for enhancing the marketing effect, including. According to claim 1,
Further comprising a rating determining unit for determining the rating of malicious users,
Participation restriction unit is an event malicious user management system for enhancing the marketing effect of allowing or limiting the participation of some events according to the level of malicious users. According to claim 1, User analysis unit:
Participating behavior analysis unit that analyzes event users' event participation behavior;
Event malicious user management system for enhancing the marketing effect, including. The method of claim 3,
Participating behavior analysis unit participates in the event with at least some of the first participation score for each event user, the prize price of the participating event, the winning rate, the number of attendance, the participating time per event, the starting point of the event, the number of game executions, the bias of participating events, the number of points acquired, the number of winnings Event malicious user management system to analyze. According to claim 3, the user analysis unit:
A contributing behavior analysis unit for analyzing marketing contributing behavior of event users;
Event malicious user management system for further enhancing the marketing effect, including. The method of claim 5,
The contributing behavior analysis unit analyzes marketing contribution behavior with at least some indicators among commenting, posting, response speed, number of attendance, number of shopping, response rate, attendance check, advertisement view, sympathy rate, sharing by event user Management system. Analyzing event users;
Determining event users as malicious users or general users based on the analysis results; And
Allowing malicious users to participate in some of the plurality of events, and disallowing malicious users to participate in the remaining events;
Event malicious user management method for enhancing the marketing effect, including.

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