CN108809987B - Online game popularization method based on big data analysis - Google Patents
Online game popularization method based on big data analysis Download PDFInfo
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- CN108809987B CN108809987B CN201810611237.1A CN201810611237A CN108809987B CN 108809987 B CN108809987 B CN 108809987B CN 201810611237 A CN201810611237 A CN 201810611237A CN 108809987 B CN108809987 B CN 108809987B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/131—Protocols for games, networked simulations or virtual reality
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- 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
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- G06Q30/0269—Targeted advertisements based on user profile or attribute
- G06Q30/0271—Personalized advertisement
Abstract
The invention discloses an online game popularization method based on big data analysis, which comprises the following steps: dividing the area into a plurality of rectangular areas; acquiring the number of mobile terminals in each area; acquiring software names in mobile terminals in each area; acquiring the names of all webpage game software and dividing the names according to the types of the game software; respectively comparing the software names in each mobile terminal with game database sets corresponding to different types of games stored in a database; counting the association coefficient between the game name in each mobile terminal and the game type stored in the database; and comparing the association coefficient with a set association coefficient threshold value, and popularizing the games in the game types of which the association coefficients are greater than the threshold value to the mobile terminal. The method and the device for the webpage game are convenient for popularizing the same type of game to the mobile terminals by determining the game types in the mobile terminals, realize effective popularization of the webpage game, have the characteristics of high popularization efficiency and strong pertinence, and greatly improve the benefit of popularization of the webpage game.
Description
Technical Field
The invention belongs to the technical field of online game promotion, and relates to an online game promotion method based on big data analysis.
Background
The network Game, named Online Game in English, is an individual multiplayer Online Game with sustainability, which takes the Internet as a transmission medium, a Game operator server and a user computer as processing terminals, and Game client software as an information interaction window and aims to realize entertainment, leisure, communication and virtual achievement.
In the process of popularizing the existing online game, a game popularizing merchant generally adopts a large-scale game popularizing method to popularize all users of mobile terminals, so that the fund consumption of large-scale full-range game popularizing is large, and the problem of poor popularizing effect exists.
Disclosure of Invention
The invention aims to provide an online game popularization method based on big data analysis, which solves the problems of poor pertinence, poor popularization effect and high cost in the popularization process of the existing online game.
The purpose of the invention can be realized by the following technical scheme:
a big data analysis-based online game popularization method comprises the following steps:
s1, dividing the designated area into a plurality of rectangular areas which are connected with each other and have equal areas, wherein the side lengths of the rectangular areas are equal, and the rectangular areas are sequentially marked as 1,2,. once, i,. once, n according to a set sequence;
s2, acquiring time of each mobile terminal in each rectangular area entering the area, and acquiring the number of the mobile terminals in each rectangular area in the designated area through a Beidou satellite, wherein the number of the mobile terminals in each rectangular area is a1, a2, a.
S3, counting the number of mobile terminals in each rectangular area, if the number of the mobile terminals is smaller than a preset threshold value, executing a step S2, otherwise, executing a step S4;
s4, acquiring the software name in each mobile terminal in each rectangular area through the web crawler technology to form a terminal software set Big(big1,big2,...,bigt,....,bigm) wherein b)igt is represented as a software set corresponding to the g mobile terminal in the ith rectangular area, and the software in the mobile terminal is sequenced according to the downloading time sequence of the current software version, wherein the software is respectively 1,2,. the.,. the t,. the.,. the m;
s5, acquiring the names of all the web game software in a fixed period, classifying the names of the game software according to different game types, wherein different game types comprise a plurality of web game names belonging to the type, and the game types are sorted according to the sequence of the web game research and development completion to form a game type database set Cr(cr1,cr2,...,cru,....,cry)，CrExpressed as a set of databases corresponding to the r-th type game, cru is the name corresponding to the u-th webpage game in the r-th type game, and the game type database set CrDifferent game names have different corresponding weight coefficients;
s6, acquiring terminal software set B corresponding to the software name in each mobile terminaligGame database set C respectively corresponding to different types of games stored in databaserComparing one by one to obtain a game type database comparison set C'igr(c′igr1,c′igr2,...,c′igru,....,c′igry)，c′igru is a contrast value between the u webpage game in the r type game and the software in the g mobile terminal in the ith rectangular area, and c 'is obtained if the name of the u webpage game in the r type game is matched with the game software in the g mobile terminal in the ith rectangular area'igru is 1, otherwise, c'igru＝0；
S7, counting the association coefficient F between the game name in each mobile terminal and the game type stored in the databaseigr；
S8, comparing the obtained association coefficient of each mobile terminal with the game type in the database, extracting the games in the game type with the association coefficient larger than the set association coefficient threshold, and sending the games in the game type with the association coefficient larger than the preset association coefficient threshold from back to front according to the game development sequence.
Further, the game type database set CrDifferent weight coefficients corresponding to different game names form a weight coefficient set Kr(kr1,kr2,...,kru,....,kry)，kru is a weight coefficient occupied by the u-th web game in the r-th type game, and kr1＜kr2＜...＜kru＜....＜kry，kr1+kr2+...+kru+....+kry＝1。
Further, the correlation coefficient
FigrIs expressed as a correlation coefficient between the game name in the g mobile terminal in the ith rectangular area and the r game type stored in the database, w is an influence factor, and is taken as 0.145, c'igru is expressed as a contrast value of the u webpage game in the r type game and the software in the g mobile terminal in the i rectangular area, kru is expressed as a weight coefficient occupied by the u-th web game in the r-th type game.
Further, the time interval between the adjacent two game populations in the same game type in the step S8 is T, and T > 0.
The invention has the beneficial effects that:
the online game promotion method based on big data analysis provided by the invention judges whether the area meets the basic requirement of the number of personnel in the online game promotion process or not by dividing the designated area and obtaining the number of the mobile terminals in each divided area, thereby improving the game promotion range;
the online game software in each mobile terminal is obtained, the names of the online game software in the mobile terminals are compared with the online games in each game type one by one, and the correlation coefficient between the mobile terminal and each game type is counted to determine the game type liked by each mobile terminal user, so that the game in the game type is conveniently popularized according to the game type liked by the mobile terminal, the effective popularization of the webpage game is realized, the characteristics of high popularization efficiency and strong pertinence are realized, and the popularization benefit of the webpage game is greatly improved.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention relates to an online game promotion method based on big data analysis, which comprises the following steps:
s1, dividing the designated area into a plurality of rectangular areas which are connected with each other and have equal areas, wherein the side lengths of the rectangular areas are equal, and the rectangular areas are sequentially marked as 1,2,. once, i,. once, n according to a set sequence;
s2, acquiring time of each mobile terminal in each rectangular area entering the area, and acquiring the number of the mobile terminals in each rectangular area in the designated area through a Beidou satellite, wherein the number of the mobile terminals in each rectangular area is a1, a2, a.
S3, counting the number of mobile terminals in each rectangular area, if the number of the mobile terminals is smaller than a preset threshold value, executing a step S2, otherwise, executing a step S4;
s4, acquiring the software name in each mobile terminal in each rectangular area through the web crawler technology to form a terminal software set Big(big1,big2,...,bigt,....,bigm) wherein b)igt is represented as a software set corresponding to the g mobile terminal in the ith rectangular area, and the software in the mobile terminal is sequenced according to the downloading time sequence of the current software version, wherein the software is respectively 1,2,. the.,. the t,. the.,. the m;
s5, acquiring all names of the web game software in a fixed period, classifying the names of the game software according to different game types, wherein the game types comprise pets, swords, adventures, sports, management and the like, different game types comprise a plurality of web game names belonging to the game types, and the game types are sorted according to the sequence of the web game research and development completion to form a game type database set Cr(cr1,cr2,...,cru,....,cry)，CrDatabase set expressed as r-th type game correspondenceAnd c isru is the name corresponding to the u-th webpage game in the r-th type game, and the game type database set CrCorresponding to different weight coefficient sets Kr(kr1,kr2,...,kru,....,kry)，kru is a weight coefficient occupied by the u-th web game in the r-th type game, and kr1＜kr2＜...＜kru＜....＜kry，kr1+kr2+...+kru+....+kry＝1；
S6, acquiring terminal software set B corresponding to the software name in each mobile terminaligGame database set C respectively corresponding to different types of games stored in databaserComparing one by one to obtain a game type database comparison set C'igr(c′igr1,c′igr2,...,c′igru,....,c′igry)，c′igru is a contrast value between the u webpage game in the r type game and the software in the g mobile terminal in the ith rectangular area, and c 'is obtained if the name of the u webpage game in the r type game is matched with the game software in the g mobile terminal in the ith rectangular area'igru is 1, otherwise, c'igru＝0；
S7, counting the association coefficient F between the game name in each mobile terminal and the game type stored in the databaseigr，
FigrIs expressed as a correlation coefficient between the game name in the g mobile terminal in the ith rectangular area and the r game type stored in the database, w is an influence factor, and is taken as 0.145, c'igru is expressed as a contrast value of the u webpage game in the r type game and the software in the g mobile terminal in the i rectangular area, kru represents a weight coefficient occupied by the u-th web game in the r-th type game;
s8, comparing the obtained association coefficient of each mobile terminal with the game type in the database, extracting the games in the game type with the association coefficient larger than the set association coefficient threshold, and sending the games in the game type to the mobile terminals with the association coefficients larger than the preset association coefficient threshold from back to front according to the game development, wherein the time interval between the popularization of two adjacent games in the same game type is T.
The online game promotion method based on big data analysis provided by the invention judges whether the area meets the basic requirement of the number of personnel in the online game promotion process or not by dividing the designated area and obtaining the number of the mobile terminals in each divided area, thereby improving the game promotion range;
the online game software in each mobile terminal is obtained, the names of the online game software in the mobile terminals are compared with the online games in each game type one by one, and the correlation coefficient between the mobile terminal and each game type is counted to determine the game type liked by each mobile terminal user, so that the game in the game type is conveniently popularized according to the game type liked by the mobile terminal, the effective popularization of the webpage game is realized, the characteristics of high popularization efficiency and strong pertinence are realized, and the popularization benefit of the webpage game is greatly improved.
The foregoing is merely exemplary and illustrative of the principles of the present invention and various modifications, additions and substitutions of the specific embodiments described herein may be made by those skilled in the art without departing from the principles of the present invention or exceeding the scope of the claims set forth herein.
Claims (4)
1. A big data analysis-based online game popularization method is characterized by comprising the following steps:
s1, dividing the designated area into a plurality of rectangular areas which are connected with each other and have equal areas, wherein the side lengths of the rectangular areas are equal, and the rectangular areas are sequentially marked as 1,2,. once, i,. once, n according to a set sequence;
s2, acquiring time of each mobile terminal in each rectangular area entering the area, and acquiring the number of the mobile terminals in each rectangular area in the designated area through a Beidou satellite, wherein the number of the mobile terminals in each rectangular area is a1, a2, a.
S3, counting the number of mobile terminals in each rectangular area, if the number of the mobile terminals is smaller than a preset threshold value, executing a step S2, otherwise, executing a step S4;
s4, acquiring the software name in each mobile terminal in each rectangular area through the web crawler technology to form a terminal software set Big(big1,big2,...,bigt,...,bigm) in which B)igRepresenting the software set corresponding to the g mobile terminal in the ith rectangular area, and sequencing the software in the mobile terminal according to the downloading time sequence of the current software version, wherein the software is respectively 1,2, a.
S5, acquiring the names of all the web game software in a fixed period, classifying the names of the game software according to different game types, wherein different game types comprise a plurality of web game names belonging to the type, and the game types are sorted according to the sequence of the web game research and development completion to form a game type database set Cr(cr1,cr2,...,cru,...,cry)，CrExpressed as a set of databases corresponding to the r-th type game, cru is the name corresponding to the u-th webpage game in the r-th type game, and the game type database set CrDifferent game names have different corresponding weight coefficients;
s6, acquiring terminal software set B corresponding to the software name in each mobile terminaligGame database set C respectively corresponding to different types of games stored in databaserComparing one by one to obtain a game type database comparison set C'igr(c'igr1,c'igr2,...,c'igru,...,c'igry)，c'igru is expressed as the u-th netpage game and the i-th rectangular area in the r-th type gameC 'if the name of the u webpage game in the r type game is matched with the game software in the g mobile terminal in the ith rectangular area'igru is 1, otherwise, c'igru＝0；
S7, counting the association coefficient F between the game name in each mobile terminal and the game type stored in the databaseigr；
And S8, comparing the obtained association coefficient with the set association coefficient threshold according to the obtained association coefficient of each mobile terminal and the game type in the database, extracting the games in the game type with the association coefficient greater than the set association coefficient threshold, and sending the games in the game type to the mobile terminals with the association coefficients greater than the preset association coefficient threshold from back to front according to the game development.
2. The online game promotion method based on big data analysis according to claim 1, wherein: the game type database set CrDifferent weight coefficients corresponding to different game names form a weight coefficient set Kr(kr1,kr2,...,kru,...,kry)，kru is a weight coefficient occupied by the u-th web game in the r-th type game, and kr1＜kr2＜...＜kru＜...＜kry，kr1+kr2+...+kru+...+kry＝1。
3. The online game promotion method based on big data analysis according to claim 1, wherein: the correlation coefficient
FigrIs expressed as a correlation coefficient between the game name in the g mobile terminal in the ith rectangular area and the r game type stored in the database, w is an influence factor, and is taken as 0.145, c'igru is expressed as the u-th netpage game and the i-th rectangular area in the r-th type gameContrast value, k, of software in the g-th mobile terminal in the domainru is expressed as a weight coefficient occupied by the u-th web game in the r-th type game.
4. The online game promotion method based on big data analysis according to claim 1, wherein: the time interval between the two adjacent game popularizations in the same game type in the step S8 is T, and T is greater than 0.
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