CN110033295B - Device and method for detecting rewarding importance of event in game - Google Patents
Device and method for detecting rewarding importance of event in game Download PDFInfo
- Publication number
- CN110033295B CN110033295B CN201811323452.8A CN201811323452A CN110033295B CN 110033295 B CN110033295 B CN 110033295B CN 201811323452 A CN201811323452 A CN 201811323452A CN 110033295 B CN110033295 B CN 110033295B
- Authority
- CN
- China
- Prior art keywords
- behavior
- game
- attribute
- importance
- player
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0207—Discounts or incentives, e.g. coupons or rebates
- G06Q30/0209—Incentive being awarded or redeemed in connection with the playing of a video game
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Accounting & Taxation (AREA)
- Development Economics (AREA)
- Strategic Management (AREA)
- Finance (AREA)
- Game Theory and Decision Science (AREA)
- Entrepreneurship & Innovation (AREA)
- Economics (AREA)
- Marketing (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The present invention relates to a device and a method for detecting the importance of rewards for events in a game. The device for detecting the importance of rewards of events in a game comprises: a player behavior analyzer that analyzes the behavior attribute importance of the player after classifying the behavior attribute information of the player and the attribute information of the in-game behavior from the data of the player; a bonus element attribute extractor for extracting bonus element attributes constituting a bonus of an event in a game; a correlation analyzer that calculates a correlation matrix between a behavior attribute having a high importance among the behavior attributes analyzed by the player behavior analyzer and a bonus element attribute of the in-game event; and a bonus importance detector detecting the relative importance of different awards through an association matrix between the behavior attribute having high importance and the bonus element attribute of the in-game event.
Description
Technical Field
The present invention relates to an apparatus for detecting the importance of rewards for in-game events, and more particularly, to a method for detecting the importance of rewards for in-game events for activating a game service and improving profitability, and more particularly, to a method for determining the relative importance of different rewards for in-game events by performing correlation analysis between a player behavior attribute for a target in-game behavior and a rewards element attribute of a matched in-game event after matching in-game behavior such as separation from a game, purchase, and the like with an in-game event.
Background
In general, in order to activate a game service and improve profitability, various methods are utilized by game service providers.
One such method is a predictive model relating to the play of a game player so that the player's behavior can be predicted. Examples of such predictive models are published in "F.Hadiji, R.Sifa, A.Drachen, C.Thurau, K.Kersting, and C.Bauckhage," Predicting player churn in the wild, "in Proc.IEEE Conf.Comput.Intell.Games, pp.1-8, august 2014".
Further, behavioral predictive modeling related to game play disengagement, in-application purchase, and the like has been proposed. Behavior predictive modeling in connection with game breaking and in-application purchase, etc., is disclosed in various papers such as "J.Runge, P.Gao, F.Garcin, and B.Faltings," Churn prediction for high-value players in casual social games, in Proc.IEEE Conf.Comput.Intell.Games, pp.1-8, august2014, "H.Xie, S.Devlin, D.Kudenko, and P.cowling," Predicting player disengagement and first purchase with event-frequency based data representation, in Proc.IEEE Conf.Comput.Intell.Games, pp.230-237, august2015, "" R.Sifa, F.Hadiji, J.Runge, A.Drachen, K.Kersting, and C.Bauckhage, "Predicting purchasedecisions in mobile free-to-play games, in Proc.the Eleventh AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, pp.79-85, november 2015," as follows.
Finally, modeling to predict game play break-away based on time series analysis is also disclosed. Modeling to predict game break-away based on time series analysis, by techniques such as "m.tamassia et al," Predicting Player Churn in Destiny: a Hidden Markov Models Approach to Predicting Player Departure in a Major Online Game, "in Proc.IEEE Conf.Comput.Intell.Games, pp.325-332,September 2016".
As described above, the conventional studies are limited to player behavior predictive modeling, and methods for generating in-game events in order to adapt them to live services have not been tried.
Disclosure of Invention
The present invention has been made to solve the conventional problems, and an object of the present invention is to provide a device for detecting the importance of rewards of in-game events, which detects the relative importance of each rewards element by performing correlation analysis between a player behavior attribute of an in-game behavior and a rewards element attribute of a matched in-game event after matching in-game behavior such as off-game and purchase with an in-game event.
Also, another object of the present invention is to provide an apparatus for detecting the importance of rewards for events in a game by analyzing data of players to determine when an event is required, the amount and kind of rewards for the event.
It is also an object of the present invention to provide an apparatus for detecting the bonus importance of an in-game event that generates an in-game event for general applicability in a live game service as well.
The objects of the present invention are not limited to the above-mentioned objects, and other objects not mentioned can be clearly understood by those skilled in the art from the following description.
The apparatus for detecting the importance of rewards for events in a game according to an embodiment of the present invention for achieving the above object includes: a player behavior analyzer that analyzes the behavior attribute importance of the player after classifying the behavior attribute information of the player and the attribute information of the in-game behavior from the data of the player; a bonus element attribute extractor for extracting bonus element attributes constituting a bonus of an event in a game; a correlation analyzer for calculating a correlation matrix between a behavior attribute having a high importance among the behavior attributes analyzed by the player behavior analyzer and a bonus element attribute of an in-game event; and a bonus importance detector for detecting the relative importance of different awards through the correlation matrix between the behavior attribute having high importance and the bonus element attribute of the event in the game.
The player behavior analyzer includes: a behavior attribute extractor for processing the game log data according to the behavior in the target game, thereby extracting behavior elements constituting the behavior of the player; a in-game behavior classifier for specifying whether the player belongs to a target in-game behavior by a tag; and a behavior attribute importance detector for detecting a relative importance of a player behavior attribute with respect to the behavior in the target game.
In another aspect, the bonus element attribute extractor may further include an in-game event matcher for determining a category of the in-game event according to the target in-game behavior and providing the determination information thereof to the bonus element attribute extractor.
The relative importance of the behavior attribute is detected by a Tree classifier such as Decision Tree (Decision Tree) or Random Forest (Random Forest), and the correlation between the behavior attribute and the bonus element attribute is calculated by the pearson correlation coefficient (Pearson Correlation Coefficient).
The method for detecting the rewarding importance of the event in the game comprises the following steps: a step in which the player behavior analyzer classifies the behavior attribute information of the player and the attribute information of the in-game behavior from the data of the player, and then analyzes the importance of the behavior attribute of the player; a step of extracting bonus element attributes constituting a bonus of an event in the game by a bonus element attribute extractor; a step of calculating a correlation matrix between a behavior attribute having a high importance among the behavior attributes analyzed by the player behavior analyzer and a bonus element attribute of an in-game event; and a step of detecting the relative importance of different rewards by a rewards importance detector through an incidence matrix between the behavior attribute with high importance and the rewards factor attribute of the event in the game.
The step of analyzing the importance of the behavior attribute of the player includes: a step in which the behavior attribute extractor processes the game log data in accordance with the behavior in the target game, thereby extracting behavior elements constituting the behavior of the player; a step of designating whether the player belongs to the target in-game behavior by the in-game behavior classifier through a label; and a behavior attribute importance detector for detecting a relative importance of a player behavior attribute with respect to the behavior in the target game.
On the other hand, the step of extracting the bonus element attribute may further include a step of the in-game event matcher determining a kind of in-game event according to the in-game target behavior and providing the determined information thereof to the bonus element attribute extractor.
The relative importance of the behavior attribute is detected by a tree classifier such as a decision tree or a random forest, and the correlation between the behavior attribute and the bonus element attribute is calculated using a pearson correlation coefficient.
According to an embodiment of the present invention, there is an advantage in that a player's behavior pattern and a bonus element attribute corresponding thereto are associated to match an in-game event, thereby providing bonus importance, so that the in-game event can be dynamically applied.
Therefore, the game operator can automatically provide the in-game event without performing an additional job for providing the in-game event, and it is effective for the game server to improve profitability.
Drawings
Fig. 1 is a functional block diagram illustrating an apparatus for detecting bonus importance of an event in a game according to an embodiment of the present invention.
FIG. 2 is a functional block diagram illustrating a player behavior classifier employed in one embodiment of the present invention.
Fig. 3 is a reference diagram showing behavioral elements extracted from an embodiment of the present invention.
Fig. 4 is a reference diagram showing a correlation between a behavior element and a bonus element extracted from an embodiment of the present invention.
FIG. 5 is a flow chart illustrating a method of detecting the bonus importance of an event in a game according to an embodiment of the invention.
FIG. 6 is a flowchart illustrating steps employed by an embodiment of the present invention to analyze the importance of a player's behavioral attribute.
Description of the reference numerals
110: player behavior analyzer 120: rewarding element attribute extractor
130: the association analyzer 140: prize importance detector
Detailed Description
Advantages and features of the invention, and methods of accomplishing the same, will become apparent by reference to the accompanying drawings and detailed description of embodiments. However, the present invention is not limited to the embodiments disclosed below, but may be embodied in various forms different from each other, and the embodiments are provided only for the sake of completeness of the disclosure of the present invention, and a person skilled in the art is informed of the scope of the present invention completely, and the present invention is defined only by the claims. On the other hand, the terms used in the present specification are used for illustrating the embodiments, and are not intended to limit the present invention. In this specification, unless specifically mentioned otherwise, singular sentences also include plural meanings. The use of "comprising" and/or "including" in the specification means that there is no intention to exclude the presence or addition of more than one other constituent element, step, action and/or element from the list of constituent elements, steps, actions and/or elements.
FIG. 1 is a functional block diagram illustrating an apparatus for detecting the bonus importance of an in-game event according to an embodiment of the invention. As shown in FIG. 1, an apparatus for detecting bonus importance of an in-game event according to an embodiment of the present invention includes a player behavior analyzer 110, a bonus element attribute extractor 120, a correlation analyzer 130, and a bonus importance detector 140.
The player behavior analyzer 110 functions to analyze the importance of the behavior attribute of the player after classifying the behavior attribute information of the player and the in-game behavior attribute information from the log data of the player. The behavior attribute information of the player may be attribute information such as social nature indicating a frequency of using a Social Network (SNS) in the game service, loyalty indicating a frequency of accessing the game service, and dementia indicating access duration information of the game service, but is not limited thereto.
Further, the bonus element attribute extractor 120 functions to extract bonus element attributes that constitute rewards for in-game events. Here, the bonus element attribute may be any of equipment, money as money, gold coin, precious stone, and the like that can be provided to a player in a game service, but is not limited to this attribute information.
The relationship analyzer 130 is configured to calculate a relationship matrix between a behavior attribute having a high importance among the behavior attributes analyzed by the player behavior analyzer 110 and a bonus element attribute of an in-game event. The correlation between the behavior attribute and the bonus element attribute is preferably calculated by the expression pearson correlation coefficient (Pearson Correlation Coefficient), but the method of calculating the correlation is not limited thereto.
The bonus importance detector 140 is also operative to detect the relative importance of different awards by means of an association matrix between the behavior attribute having a high importance and the bonus element attribute of the in-game event. Among them, the relative importance of the above behavior attributes is preferably detected by a Tree classifier such as Decision Tree (Decision Tree), random Forest (Random Forest), etc., but the detection method is not limited thereto.
According to an embodiment of the present invention, there is an advantage in that a player's behavior pattern and a bonus element attribute corresponding thereto are associated to match an in-game event, thereby providing bonus importance, so that the in-game event can be dynamically applied.
Therefore, the game operator can automatically provide the in-game event without performing an additional job for providing the in-game event, and it is effective for the game server to improve profitability.
FIG. 2 is a functional block diagram illustrating a player behavior analyzer employed by an embodiment of the present invention.
As shown in FIG. 2, a player behavior analyzer 110, as used in one embodiment of the present invention, includes a behavior attribute extractor 111, an in-game behavior classifier 112, and a behavior attribute importance detector 113.
The behavior attribute extractor 111 processes the game log data in accordance with the in-target-game behavior, thereby extracting behavior elements constituting the player's behavior. Among them, as shown in fig. 3, the behavior attribute extractor 111 extracts behavior elements such as a idiom (addition), an achievement (accomplisment), a Loyalty (Loyalty), a desirability (statination), a Social (Social), and the like.
Also, the in-game behavior classifier 112 specifies by a tag whether the above-described player belongs to a target in-game behavior.
The behavior attribute importance detector 113 detects the relative importance of the player behavior attribute to the behavior in the above-described target game. That is, the behavior attribute importance detector 113 detects the relative importance of each behavior attribute extracted by the above-described behavior attribute extractor 111. The relative importance of the behavior attribute is preferably detected by a tree classifier such as a decision tree, a random forest, etc., but the detection method is not limited thereto.
In another aspect, the bonus element attribute extractor 120 employed by an embodiment of the present invention may further include an in-game event matcher that determines the type of in-game event based on the target in-game behavior and provides the determined information.
The event matcher in the game adopted by the embodiment of the invention has the advantages that the type of the event in the game and the corresponding rewards list are determined according to the specific purpose of the event in the game, so that the rewards element attribute extractor automatically processes the game log data, thereby providing convenience for a game operator and improving the income of a game server.
Hereinafter, an operation procedure of the apparatus for detecting the importance of rewards for in-game events according to an embodiment of the present invention will be described.
First, the behavior attribute extractor 111 processes the game log data to extract a player behavior element, i.e., a behavior attribute value, constituting a behavior in the target game, and inputs it to the behavior attribute importance detector 113.
The in-game behavior classifier 112 specifies the tag value of the in-game behavior according to whether or not the player belongs to the in-game behavior, and inputs the tag value to the behavior attribute importance detector 113.
Then, the behavior attribute importance detector 113 calculates the relative importance of the different behavior attributes with the behavior attribute value and the tag value of the behavior in the game as inputs, and inputs the behavior attribute value at the higher order among the relative importance of the different behavior attributes thus determined to the above-described association analyzer 130.
On the other hand, the bonus element attribute extractor 120 determines an appropriate bonus that can be obtained by the player after executing the in-game event, extracts a bonus element attribute value constituting each bonus from the game log data, and inputs it to the association analyzer 130. At this time, the bonus element attribute extractor 120 may determine in-game events to be applied to the game service according to the target in-game behavior through the in-game event matcher.
Thereafter, as shown in fig. 4, the association analyzer 130 takes as input the behavior attribute value and the bonus element attribute value, the correlation between the behavior attribute and the bonus element attribute (money, ruby, item), and inputs to the bonus importance detector 140.
Next, the bonus importance detector 140 determines the relative importance of each bonus of an event in the execution game, taking into account the correlation between the behavior attributes that play an important role in the behavior in the target game and the bonus element attributes.
The relative importance of each prize is obtained by the following expression 1.
Mathematical formula 1:
where rk is the relative importance of each prize and M and N are the prize elements.
Wherein, the method can be effectively used for setting the optimal bonus type and bonus amount so as to realize the purpose of the event in the game as the behavior in the target game.
A method of detecting the bonus importance of an in-game event according to an embodiment of the invention will be described with reference to fig. 5.
First, the player behavior analyzer classifies the behavior attribute information of the player and the attribute information of the in-game behavior from the data of the player, and then analyzes the behavior attribute importance of the player (step S110).
Next, the bonus element attribute extractor extracts bonus element attributes constituting a bonus of an in-game event (step S120).
Then, the association analyzer calculates an association matrix between the behavior attribute having the high importance among the behavior attributes analyzed by the above-described player behavior analyzer and the bonus element attribute of the in-game event (step S130).
Then, the bonus importance detector detects the relative importance of different awards through the correlation matrix between the behavior attribute having high importance and the bonus element attribute of the in-game event (step S140). The relative importance of each prize can be found by equation 1.
According to an embodiment of the present invention, there is an advantage in that a player's behavior pattern and a bonus element attribute corresponding thereto are associated to match an in-game event, thereby providing bonus importance, so that the in-game event can be dynamically applied.
The steps of analyzing the importance of the behavior attribute of the player will be described below with reference to fig. 6.
The behavior attribute extractor processes the game log data based on the in-target-game behavior, and extracts behavior elements constituting the player' S behavior (S111).
The in-game behavior classifier specifies whether the player belongs to a target in-game behavior by a tag (S112).
After that, the behavior attribute importance detector detects the relative importance of the player behavior attribute with respect to the behavior in the above-described target game (S113).
Wherein, in the step of extracting the bonus element attribute, the in-game event matcher determines the kind of the in-game event according to the in-game behavior of the target game and provides the determination information thereof to the bonus element attribute extractor.
Moreover, the relative importance of the behavioral attributes is preferably detected by a tree classifier such as a decision tree, random forest, or the like. The correlation between the behavior attribute and the bonus element attribute may be calculated using a pearson correlation coefficient.
While the structure of the present invention has been described in detail with reference to the drawings, it is only illustrative, and it will be apparent to those skilled in the art that various modifications and variations can be made within the scope of the technical idea of the present invention. The protective scope of the invention is therefore not limited to the embodiments described above, but is defined by the claims to be described later.
Claims (10)
1. A device for detecting the importance of a bonus event in a game, comprising:
a player behavior analyzer that analyzes the behavior attribute importance of the player after classifying the behavior attribute information of the player and the attribute information of the in-game behavior from the data of the player;
a bonus element attribute extractor for extracting bonus element attributes constituting a bonus of an event in a game;
a correlation analyzer for calculating a correlation matrix between a behavior attribute having a high importance among the behavior attributes analyzed by the player behavior analyzer and a bonus element attribute of an in-game event; and
and the bonus importance detector is used for detecting the relative importance of different awards through an incidence matrix between the behavior attribute with high importance and the bonus element attribute of the event in the game.
2. The apparatus for detecting the importance of a bonus event in a game according to claim 1, wherein said player behavior analyzer comprises:
a behavior attribute extractor for processing the game log data according to the behavior in the target game, thereby extracting behavior elements constituting the behavior of the player;
a in-game behavior classifier for specifying whether the player belongs to a target in-game behavior by a tag; and
and the behavior attribute importance detector is used for detecting the relative importance of the player behavior attribute of the behavior in the target game.
3. The apparatus for detecting the importance of a bonus event in a game according to claim 1, further comprising:
the in-game event matcher determines the kind of the in-game event according to the target in-game behavior and provides the determined information thereof to the rewarding factor attribute extractor.
4. The apparatus for detecting the importance of rewards for in-game events of claim 2 wherein the relative importance of the behavioral attributes is detected by a tree classifier.
5. The apparatus for detecting the importance of rewards for in-game events according to claim 1, wherein the correlation between the behavior attribute and the rewards factor attribute is calculated using a pearson correlation coefficient.
6. A method for detecting the bonus importance of an event in a game, comprising:
a step in which the player behavior analyzer classifies the behavior attribute information of the player and the attribute information of the in-game behavior from the data of the player, and then analyzes the importance of the behavior attribute of the player;
a step of extracting bonus element attributes constituting a bonus of an event in the game by a bonus element attribute extractor;
a step of calculating a correlation matrix between a behavior attribute having a high importance among the behavior attributes analyzed by the player behavior analyzer and a bonus element attribute of an in-game event; and
and a step of detecting the relative importance of different rewards by a rewards importance detector through the correlation matrix between the behavior attribute with high importance and the rewards factor attribute of the event in the game.
7. The method of claim 6, wherein the step of analyzing the player's behavioral attribute significance comprises:
a step in which the behavior attribute extractor processes the game log data in accordance with the behavior in the target game, thereby extracting behavior elements constituting the behavior of the player;
a step of designating whether the player belongs to the target in-game behavior by the in-game behavior classifier through a label; and
a behavior attribute importance detector for detecting the relative importance of the player behavior attribute to the behavior in the target game.
8. The method of claim 6, wherein the step of extracting the bonus element attribute further comprises:
the in-game event matcher determines the kind of the in-game event according to the target in-game behavior and provides the determined information thereof to the bonus element attribute extractor.
9. The method of claim 7, wherein the relative importance of the behavior attribute is detected by a tree classifier.
10. The method of claim 6, wherein the correlation between the behavior attribute and the bonus element attribute is calculated using a pearson correlation coefficient.
Applications Claiming Priority (4)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| KR20180003873 | 2018-01-11 | ||
| KR10-2018-0003873 | 2018-01-11 | ||
| KR10-2018-0027905 | 2018-03-09 | ||
| KR1020180027905A KR102075385B1 (en) | 2018-01-11 | 2018-03-09 | Apparatus and method for measuring importance of rewards for in-game events |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110033295A CN110033295A (en) | 2019-07-19 |
| CN110033295B true CN110033295B (en) | 2023-08-29 |
Family
ID=67235244
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811323452.8A Active CN110033295B (en) | 2018-01-11 | 2018-11-08 | Device and method for detecting rewarding importance of event in game |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110033295B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113450148A (en) * | 2021-06-29 | 2021-09-28 | 未鲲(上海)科技服务有限公司 | Data processing method, device, equipment and readable medium |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20070012844A (en) * | 2004-05-01 | 2007-01-29 | 가부시키가이샤 코나미 데지타루 엔타테인멘토 | Game program, game device, and game method |
| CN101099179A (en) * | 2005-01-18 | 2008-01-02 | Igt公司 | Persistent themed bonus awards for gaming machines |
| CN101553289A (en) * | 2006-04-03 | 2009-10-07 | Igt公司 | Method and apparatus for awarding a bonus on a network of electronic gaming devices during a pre-determined time period |
| CN102708272A (en) * | 2011-03-04 | 2012-10-03 | 微软公司 | Cascading points system |
| CN103493110A (en) * | 2011-02-07 | 2014-01-01 | 科学游戏控股有限公司 | Method for implementing a digital gate enabled multi-player lottery game |
| CN105744993A (en) * | 2013-10-25 | 2016-07-06 | 微软技术许可有限责任公司 | Time limited, application spanning and post-application release achievements |
| WO2016128960A1 (en) * | 2015-02-10 | 2016-08-18 | Sorek Shahar | System and method for retaining a strategy video game player by predicting the player game satisfaction using player game behavior data |
| CN106663298A (en) * | 2014-08-19 | 2017-05-10 | 洪国际有限公司 | Dart game device, method and computer-readable medium for providing game mode which interworks with mobile game |
| KR20170073059A (en) * | 2015-12-18 | 2017-06-28 | 세종대학교산학협력단 | Game of artificial intelligence system and method for making artificial intelligence of game character using the same |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8795058B2 (en) * | 2008-10-01 | 2014-08-05 | Igt | Gaming system and method having player accumulated points and determining each player's chances of winning an award based on the accumulated points |
| US20100323784A1 (en) * | 2009-06-17 | 2010-12-23 | Acres John F | Gaming bonus having odd-increasing wins |
-
2018
- 2018-11-08 CN CN201811323452.8A patent/CN110033295B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20070012844A (en) * | 2004-05-01 | 2007-01-29 | 가부시키가이샤 코나미 데지타루 엔타테인멘토 | Game program, game device, and game method |
| CN101099179A (en) * | 2005-01-18 | 2008-01-02 | Igt公司 | Persistent themed bonus awards for gaming machines |
| CN101553289A (en) * | 2006-04-03 | 2009-10-07 | Igt公司 | Method and apparatus for awarding a bonus on a network of electronic gaming devices during a pre-determined time period |
| CN103493110A (en) * | 2011-02-07 | 2014-01-01 | 科学游戏控股有限公司 | Method for implementing a digital gate enabled multi-player lottery game |
| CN102708272A (en) * | 2011-03-04 | 2012-10-03 | 微软公司 | Cascading points system |
| CN105744993A (en) * | 2013-10-25 | 2016-07-06 | 微软技术许可有限责任公司 | Time limited, application spanning and post-application release achievements |
| CN106663298A (en) * | 2014-08-19 | 2017-05-10 | 洪国际有限公司 | Dart game device, method and computer-readable medium for providing game mode which interworks with mobile game |
| WO2016128960A1 (en) * | 2015-02-10 | 2016-08-18 | Sorek Shahar | System and method for retaining a strategy video game player by predicting the player game satisfaction using player game behavior data |
| KR20170073059A (en) * | 2015-12-18 | 2017-06-28 | 세종대학교산학협력단 | Game of artificial intelligence system and method for making artificial intelligence of game character using the same |
Non-Patent Citations (1)
| Title |
|---|
| 基于数据挖掘和融合技术的游戏关卡生成方法;齐彦君等;《计算机与现代化》;20130415(第04期);全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110033295A (en) | 2019-07-19 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10896574B2 (en) | System and method for outlier detection in gaming | |
| CN101616101B (en) | Method and device for filtering user information | |
| KR101892739B1 (en) | Apparatus and method for generating game operation senario | |
| CN113179263A (en) | Network intrusion detection method, device and equipment | |
| CN109903053B (en) | Anti-fraud method for behavior recognition based on sensor data | |
| CN111557011A (en) | Enterprise yield-breaking prediction system and operation method thereof | |
| CN110851621A (en) | Method, device and storage medium for predicting video wonderful level based on knowledge graph | |
| KR20210148574A (en) | Systems and methods for analyzing the public data of SNS user channel and providing influence report | |
| CN111382605A (en) | Video content auditing method and device, storage medium and computer equipment | |
| CN110808995B (en) | Safety protection method and device | |
| CN110033295B (en) | Device and method for detecting rewarding importance of event in game | |
| KR101998294B1 (en) | Apparatus and method for detection of gold farmer group account | |
| CN111488501A (en) | E-commerce statistical system based on cloud platform | |
| KR102093790B1 (en) | Evnet information extraciton method for extracing the event information for text relay data, and user apparatus for perfromign the method | |
| CN110781467A (en) | Abnormal business data analysis method, device, equipment and storage medium | |
| CN112016769A (en) | Method and device for managing relative person risk prediction and information recommendation | |
| CN112587932A (en) | Game plug-in detection method and device, electronic equipment and storage medium | |
| CN112330355A (en) | Consumption ticket transaction data processing method, device, equipment and storage medium | |
| TW202111592A (en) | Learning model application system, learning model application method, and program | |
| CN111582757A (en) | Fraud risk analysis method, device, equipment and computer-readable storage medium | |
| KR102075385B1 (en) | Apparatus and method for measuring importance of rewards for in-game events | |
| CN111522747B (en) | Application processing method, device, equipment and medium | |
| CN113808574A (en) | AI voice quality inspection method, device, equipment and storage medium based on voice information | |
| CN113420789A (en) | Method, device, storage medium and computer equipment for predicting risk account | |
| CN110807179A (en) | User identification method, device, server and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |