CN104759100B

CN104759100B - Forecasting Methodology, device and the gaming operators server for life cycle of playing

Info

Publication number: CN104759100B
Application number: CN201510127746.3A
Authority: CN
Inventors: 左文明; 伊德宏; 郑伟
Original assignee: Xiaomi Inc
Current assignee: Xiaomi Inc
Priority date: 2015-03-23
Filing date: 2015-03-23
Publication date: 2018-02-06
Anticipated expiration: 2035-03-23
Also published as: CN104759100A

Abstract

The disclosure is directed to a kind of Forecasting Methodology, device and gaming operators server, the methods described of life cycle of playing to include：By the user login information for obtaining game user in the first preset time period, game user is clustered according to user login information, determine the liveness parameter of game user, according to the liveness parameter of game user, it is determined that the life cycle phase that is presently in of game, but user rapid development general to some initial qualities is avoided missing, the very big game of user charges potentiality is promoted and runed, so as to improve efficiency of operation.

Description

Forecasting Methodology, device and the gaming operators server for life cycle of playing

Technical field

This disclosure relates to communication technical field, more particularly to a kind of Forecasting Methodology, device and the game of life cycle of playing Carrier server.

Background technology

Mobile Internet development at present is swift and violent, one of mainstream applications as mobile Internet, although mobile phone games occur Time is shorter, but by terminal convenience, operation terseness, take the fragmentation time the features such as develop it is very rapid. The operation and popularization of game constantly come out in high-quality game work as the key link in game life cycle, compete lattice Under the increasingly fierce overall situation of office, it is the matter of utmost importance that each operator needs to face that how low-cost high-efficiency operation, which is played,.

In correlation technique, the strategy of game is promoted typically according to the quality of game, such as game picture, game, operation Property, Interface Options specification etc., operation personnel can determine whether that putting into how many resources is initially promoted.After initial popularization, operation personnel The business revenue situation in the stage of playing is counted, decides whether to continue to chase after according to popularization cost and business revenue situation, operation personnel Resource is added to be promoted.

The content of the invention

The embodiment of the present disclosure provides a kind of Forecasting Methodology, device and the gaming operators server of life cycle of playing. The technical scheme is as follows：

According to the first aspect of the embodiment of the present disclosure, there is provided a kind of Forecasting Methodology for life cycle of playing, this method include：

Obtain the user login information of game user in the first preset time period；

The game user is clustered according to the user login information, determines the liveness ginseng of the game user Number；

According to the liveness parameter of the game user, it is determined that the life cycle phase that game is presently in；

The life cycle phase being presently according to game, to game information corresponding to user terminal transmission.

According to the second aspect of the embodiment of the present disclosure, there is provided a kind of prediction meanss for life cycle of playing, the device include：

User profile acquisition module, it is configured as obtaining the user login information of game user in the first preset time period；

User activity determining module, it is configured as gathering the game user according to the user login information Class, determine the liveness parameter of the game user；

Life cycle phase determining module, the liveness parameter according to the game user is configured as, it is determined that game is worked as Preceding residing life cycle phase；

Sending module, the life cycle phase being presently according to game is configured as, to corresponding to user terminal transmission Game information.

According to the third aspect of the embodiment of the present disclosure, there is provided a kind of gaming operators server, the server include：

Processing component；

For the memory for the executable instruction for storing the processor；

Wherein, the processing component is configured as：

The technical scheme that the embodiment of the present disclosure provides can include the following benefits：

By obtaining the user login information of game user in the first preset time period, according to user login information to game User is clustered, and determines the liveness parameter of game user, according to the liveness parameter of game user, it is determined that current institute of playing The life cycle phase at place, but user rapid development general to some initial qualities is avoided missing, user charges potentiality are very Big game is promoted and runed, so as to improve efficiency of operation.

It should be appreciated that the general description and following detailed description of the above are only exemplary and explanatory, not The disclosure can be limited.

Brief description of the drawings

Accompanying drawing herein is merged in specification and forms the part of this specification, shows the implementation for meeting the disclosure Example, and be used to together with specification to explain the principle of the disclosure.

Fig. 1 is a kind of flow chart of the Forecasting Methodology of game life cycle according to an exemplary embodiment；

Fig. 2 is a kind of flow chart of the Forecasting Methodology of game life cycle according to another exemplary embodiment；

Fig. 3 is a kind of flow chart of the Forecasting Methodology of game life cycle according to another exemplary embodiment；

Fig. 4 is a kind of flow chart of the Forecasting Methodology of game life cycle according to another exemplary embodiment；

Fig. 5 is a kind of flow chart of the Forecasting Methodology of game life cycle according to another exemplary embodiment；

Fig. 6 is a kind of flow chart of the Forecasting Methodology of game life cycle according to another exemplary embodiment；

Fig. 7 is a kind of block diagram of the prediction meanss of game life cycle according to an exemplary embodiment；

Fig. 8 is a kind of block diagram of the prediction meanss of game life cycle according to another exemplary embodiment；

Fig. 9 is a kind of block diagram of the prediction meanss of game life cycle according to another exemplary embodiment；

Figure 10 is a kind of block diagram of the prediction meanss of game life cycle according to another exemplary embodiment；

Figure 11 is a kind of block diagram of the prediction meanss of game life cycle according to another exemplary embodiment；

Figure 12 is a kind of block diagram of gaming operators server according to an exemplary embodiment.

Pass through above-mentioned accompanying drawing, it has been shown that the clear and definite embodiment of the disclosure, will hereinafter be described in more detail.These accompanying drawings It is not intended to limit the scope of disclosure design by any mode with word description, but is by reference to specific embodiment Those skilled in the art illustrate the concept of the disclosure.

Embodiment

Here exemplary embodiment will be illustrated in detail, its example is illustrated in the accompanying drawings.Following description is related to During accompanying drawing, unless otherwise indicated, the same numbers in different accompanying drawings represent same or analogous key element.Following exemplary embodiment Described in embodiment do not represent all embodiments consistent with the disclosure.On the contrary, they be only with it is such as appended The example of the consistent apparatus and method of some aspects be described in detail in claims, the disclosure.

Fig. 1 is a kind of flow chart of the Forecasting Methodology of game life cycle according to an exemplary embodiment, the trip The life cycle that the Forecasting Methodology of play life cycle can apply to the game such as web game, online game or mobile phone games is pre- Survey, the following steps can be included：

In a step 101, the user login information of game user in the first preset time period is obtained.

First preset time period can be one day, one week, the period such as some days or one month.First preset time Section can carry out selection determination according to the length of the life cycle of game, game user log-on message pace of change etc..

In a step 102, game user is clustered according to user login information, determines the liveness ginseng of game user Number.

In step 103, according to the liveness parameter of game user, it is determined that the life cycle phase that game is presently in.

The life cycle of game refers to that game is launched to the whole process finally withdrawn from the market.A game is launched Behind market, introducing phase, growth stage, maturity period, decline phase in several stages are undergone.For different game, each stage when Length is different.The introducing phase refers to the initial period that game is launched.Growth stage refers to that game attracts certain amount Payment player after period.Maturity period refers to that game enrollment tends towards stability, and game user is active daily and pays Also tend to stable period.Decline phase refers to that game enters the superseded stage.

At step 104, the life cycle phase being presently according to game, corresponding game letter is sent to user terminal Breath.

If the life cycle phase being presently in of playing is the introducing phase, game letter is sent to the user terminal of the first quantity Breath；If the life cycle phase being presently in of playing is the growth stage, game information is sent to the user terminal of the second quantity；If The life cycle being presently in of playing is the maturity period, then changes game content, extend the active time of any active ues.

Wherein, if the life cycle phase that game is presently in is the introducing phase, illustrate that game is just launched, now need Carry out a good deal of propaganda, game information is sent to substantial amounts of user terminal, allow the user to recognize the game, and then register The game turns into the game user of the game.

If the life cycle phase being presently in of playing is the growth stage, game letter is sent to the user terminal of the second quantity Breath.The trip that the user terminal of second quantity can increase newly according to the interim user terminal quantity for receiving game information is introduced with game Play number of users determine, either directly according to going game increase newly game user number determine the second quantity user terminal or Determined previously according to quantity forwarded of the similar game in the growth stage.For example, the user terminal of the second quantity refers to never receiving Cross the user terminal of game information；Or second quantity user terminal in certain customers' terminal can never receive trip The user terminal for information of playing, certain customers' terminal can receive game information but without the user terminal of registration game.

In summary, the Forecasting Methodology for the game life cycle that the present embodiment provides, by obtaining the first preset time period The user login information of interior game user, game user is clustered according to user login information, determines the work of game user Jerk parameter, according to the liveness parameter of game user, it is determined that the life cycle phase that game is presently in, is avoided missing to one A little initial qualities are general, but user's rapid development, and the very big game of user charges potentiality is promoted and runed, so as to carry High efficiency of operation.

In one embodiment, game user is clustered according to user login information, determines enlivening for game user The process of parameter is spent, as shown in Fig. 2 following steps can be included：

In step 1021, according to user login information, determine active users in game user, normal users number and Risk subscribers number.

User login information can include：Per day login times, accumulation login times, accumulation logs in number of days, accumulation is paid Take number and accumulation payment number of days.Corresponding, any active ues can in a few days averagely login times, accumulation login times, accumulation be stepped on Record number of days, accumulation payment number or accumulation payment number of days exceed a number of game user.Normal users can in a few days Average login times, accumulation login times, accumulation log in number of days, accumulation payment number or accumulation payment number of days and are located at certain model Enclose interior game user.Risk subscribers can in a few days averagely login times, accumulation login times, accumulation log in number of days, accumulation Payment number or accumulation payment number of days are less than the game user of certain value.

Wherein, per day login times are game user average login times daily in the first preset time period.It is tired Product login times are total login times of the game user in the first preset time period.It is game user that accumulation, which logs in number of days, The total number of days logged in one preset time period.Accumulation payment number is total time that game user is paid in the first preset time period Number.Accumulation payment number of days is total number of days that game user is paid in the first preset time period.

, may be very long by one after some game of user's registration in addition, game user also has a life cycle It is lasting inside the section time to log in, and the stage property in purchase game of paying, after a period of time, login times are reduced, and user is to game Interest reduce, after a period of time, user logs in game or no longer logs in game once in a while, and user disappears to the interest of game Lose；May also be after the game of user's registration, just directly loss, does not occur again in gaming.Wherein, any active ues can be with For the user persistently logged in inside a very long time.Normal users can be that login times are reduced, and the interest of game is subtracted Few user.Risk subscribers can be to log in the user for playing or no longer logging in game once in a while.

In step 1022, active users, normal users number and risk subscribers number in game user, it is determined that living Jump user accounts for the ratio of total game user.

For example, if the active users in game user are 400, normal users number is 200, and risk subscribers number is 150, The ratio that then any active ues account for total game user is 400/ (400+200+150)=53.3%.

It is corresponding, in above-mentioned steps 103, the ratio of total game user can be accounted for according to any active ues, it is determined that game is current Residing life cycle phase.

As a kind of example, with reference to reference to figure 3, it can specifically include following steps in step 1021：

In step 10211, number of days, accumulation pair are logged according to per day login times, accumulation login times, accumulation respectively Take number and accumulation payment number of days, determine that per day login times, accumulation login times, accumulation log in number of days, accumulation payment time Active users, normal users number and risk subscribers number corresponding to number and accumulation payment number of days.

Wherein, if per day login times corresponding to game user are more than corresponding first preset value, by game user It is defined as any active ues corresponding to per day login times；If per day login times corresponding to game user are positioned at corresponding pre- If in scope, then game user is defined as normal users corresponding to per day login times；If day puts down corresponding to game user Equal login times are less than corresponding second preset value, then game user is defined as into risk corresponding to per day login times uses Family.

If accumulation login times are more than corresponding first preset value corresponding to game user, game user is defined as tiring out Any active ues corresponding to product login times；If accumulation login times are located in corresponding preset range corresponding to game user, Game user is defined as to accumulate normal users corresponding to login times；If accumulation login times corresponding to game user are less than pair The second preset value answered, then game user is defined as accumulating risk subscribers corresponding to login times.

If accumulation corresponding to game user, which logs in number of days, is more than corresponding first preset value, game user is defined as tiring out Product logs in any active ues corresponding to number of days；It is located at if accumulation corresponding to game user logs in number of days in corresponding preset range, Game user is defined as accumulation and logs in normal users corresponding to number of days；If accumulation corresponding to game user logs in number of days and is less than pair The second preset value answered, then game user is defined as accumulation and logs in risk subscribers corresponding to number of days.

If accumulation payment number is more than corresponding first preset value corresponding to game user, game user is defined as tiring out Any active ues corresponding to product payment number；If accumulation payment number is located in corresponding preset range corresponding to game user, Game user is defined as normal users corresponding to accumulation payment number；If accumulation payment number corresponding to game user is less than pair The second preset value answered, then game user is defined as risk subscribers corresponding to accumulation payment number.

If accumulation payment number of days is more than corresponding first preset value corresponding to game user, game user is defined as tiring out Any active ues corresponding to product payment number of days；If accumulation payment number of days is located in corresponding preset range corresponding to game user, Game user is defined as normal users corresponding to accumulation payment number of days；If accumulation payment number of days corresponding to game user is less than pair The second preset value answered, then game user is defined as risk subscribers corresponding to accumulation payment number of days.

Wherein, the first preset value, preset range and the second preset value can be stepped on according to the per day of the user of similar game Record number, accumulation login times, accumulation log in number of days, accumulation payment number and accumulation payment number of days to determine, the method for determination can Think statistical analysis etc., be no longer described in detail herein.

In step 10212, number of days, accumulation payment time are logged according to per day login times, accumulation login times, accumulation Active users corresponding to number and accumulation payment number of days, determine the active users in game user.

In step 10213, number of days, accumulation payment time are logged according to per day login times, accumulation login times, accumulation Normal users number corresponding to number and accumulation payment number of days, determines the normal users number in game user.

In step 10214, number of days, accumulation payment time are logged according to per day login times, accumulation login times, accumulation Risk subscribers number corresponding to number and accumulation payment number of days, determines the risk subscribers number in game user.

It is for instance possible to use Q1=a1 × A1+a2 × B1+a3 × C1+a4 × D1+a5 × E1 determines the work in game user Jump number of users；Q1 is the active users in game user.

Wherein, a1 is the default weight of per day login times, and a2 is the default weight of accumulation login times, and a3 is accumulation The default weight of number of days is logged in, a4 is the default weight of accumulation payment number, and a5 is the default weight of accumulation payment number of days；A1 is Per day login times are more than the game user number of corresponding first preset value；B1 is more than corresponding first for accumulation login times The game user number of preset value；C1 is that accumulation logs in the game user number that number of days is more than corresponding first preset value；D1 is accumulation Number of paying is more than the game user number of corresponding first preset value；E1 is more than corresponding first preset value for accumulation payment number of days Game user number.

It is for instance possible to use Q2=a1 × A2+a2 × B2+a3 × C2+a4 × D2+a5 × E2 is determined in game user just Conventional amount；

Wherein, A2 is the game user number that per day login times are located in corresponding preset range；B2 logs in for accumulation Number is located at the game user number in corresponding preset range；C2 is that the game that accumulation is logged in corresponding to number of days in preset range is used Amount；D2 is the game user number that accumulation payment number is located in corresponding preset range；E2 for accumulation payment number of days positioned at pair Game user number in the preset range answered.A1, a2, a3, a4 and a5 implication are referring to foregoing description.

It is for instance possible to use Q3=a1 × A3+a2 × B3+a3 × C3+a4 × D3+a5 × E3 determines the wind in game user Dangerous number of users；

Wherein, A3 is the game user number that per day login times are less than corresponding second preset value；B3 logs in for accumulation Number is less than the game user number of corresponding second preset value；C3 is that accumulation logs in the trip that number of days is less than corresponding second preset value Play number of users；D3 is the game user number that accumulation payment number is less than corresponding second preset value；E3 is small for accumulation payment number of days In the game user number of corresponding second preset value.

In addition, the prediction meanss of game life cycle can also join according to any one or more in above-mentioned 5 parameters Number, determines active users, normal users number and the risk subscribers number in game user.For example, according to per day login times, Accumulation login times and accumulation pay number to determine the active users in game user, normal users number and risk subscribers Number.In another example number of days and accumulation payment number of days are logged according to per day login times, accumulation to determine enlivening in game user Number of users, normal users number and risk subscribers number.In addition, it can also include in user login information：Per day log duration, tire out The parameters such as product log duration, per day payment value, accumulation payment value, corresponding, the prediction meanss for life cycle of playing are to trip When play life cycle is predicted, above-mentioned parameter can also be combined to determine the active users in game user, normal users Number and risk subscribers number.Determine that method is similar to the above embodiments, be no longer described in detail herein.

In this example, number of days, accumulation payment number are logged in reference to per day login times, accumulation login times, accumulation With accumulation payment number of days corresponding to preset weight and per day login times, accumulation login times, accumulation logs in number of days, accumulation is paid Take active users, normal users number and risk subscribers number corresponding to number and accumulation payment number of days, to determine in game user Active users, normal users number and risk subscribers number, it is possible to increase active users, normal users number in game user The accuracy determined with risk subscribers number, and then the accurate life cycle phase for determining game and being presently in.

As a kind of example, with reference to reference to figure 4, according to the liveness parameter of game user, it is determined that what game was presently in Life cycle phase, following steps can be included：

In step 1031, if the ratio of any active ues is more than or equal to the 3rd preset value in game user, game is worked as Preceding residing life cycle phase is defined as the introducing phase.

In step 1032, if the ratio of any active ues is default more than or equal to the 4th less than the 3rd preset value in game user Value, then the life cycle phase that game is presently in is defined as the growth stage.

In step 1033, if the ratio of any active ues is default more than or equal to the 5th less than the 4th preset value in game user Value, then the life cycle phase that game is presently in is defined as the maturity period.

In step 1034, if the ratio of any active ues is less than the 5th preset value in game user, will play current institute The life cycle phase at place is defined as the decline phase.

3rd preset value, the 4th preset value and the 5th preset value can be configured according to the setting experience of similar game.

In summary, the Forecasting Methodology for the game life cycle that the present embodiment provides, by obtaining the first preset time period The user login information of interior game user, according to user login information, determine active users, the normal users in game user Number and risk subscribers number, active users, normal users number and risk subscribers number in game user, determine any active ues The ratio of total game user is accounted for, the ratio of total game user is accounted for according to any active ues, it is determined that the life cycle that game is presently in In the stage, but user rapid development general to some initial qualities is avoided missing, the very big game of user charges potentiality is carried out Promote and run, so as to improve efficiency of operation.

Fig. 5 is a kind of flow chart of the Forecasting Methodology of game life cycle according to another exemplary embodiment, can In being predicted applied to web game, online game or the life cycle of mobile phone games, it may comprise steps of：

In step 501, the user login information of game user in the first preset time period is obtained.

In step 502, according to user login information, the type of each game user is determined.

Wherein, user login information can include：Per day login times, accumulation login times, accumulation log in number of days, tired out Product payment number, accumulation payment number of days, per day log duration, accumulation log duration, per day payment value or accumulation payment value Any one or more parameter in.For example, it is assumed that user login information includes：Per day login times, accumulation log in secondary Number, accumulation log in number of days, accumulation payment number and accumulation payment five parameters of number of days, and the one of which of the type of game user can The determination method of choosing can be：If more than three parameters are more than corresponding first preset value in the above-mentioned parameter of game user, The type for determining game user is any active ues, if there have two parameters to be more than corresponding first in the above-mentioned parameter of game user to be pre- If value, it is determined that the type of game user be normal users, if only have in the above-mentioned parameter of game user parameter more than pair The first preset value answered or all parameters are both less than equal to corresponding first preset value, it is determined that the type of game user is wind Dangerous user.

In step 503, according to the type of each game user, active users, the normal users in game user are determined Number and risk subscribers number.

In step 504, the active users in game user, normal users number and risk subscribers number, it is determined that living Jump user accounts for the ratio of total game user.

In step 505, the ratio of total game user is accounted for according to any active ues, it is determined that the life cycle that game is presently in Stage.

In step 506, the life cycle phase being presently according to game, corresponding game letter is sent to user terminal Breath.

In summary, the Forecasting Methodology for the game life cycle that the present embodiment provides, by obtaining the first preset time period The user login information of interior game user, the type of each game user is determined according to user login information, according to each game user Type, determine active users, normal users number and the risk subscribers number in game user, enlivening in game user Number of users, normal users number and risk subscribers number, determine that any active ues account for the ratio of total game user, accounted for always according to any active ues The ratio of game user, it is determined that the life cycle phase that game is presently in, general to some initial qualities so as to avoid missing, But user's rapid development, the very big game of user charges potentiality is promoted and runed, so as to improve efficiency of operation.

Fig. 6 is a kind of flow chart of the Forecasting Methodology of game life cycle according to another exemplary embodiment, can Applied in web game, online game or the prediction of the life cycle of mobile phone games, may comprise steps of：

In step 601, the user login information of game user in the first preset time period is obtained.

In step 602, game user is clustered according to user login information, determines the liveness ginseng of game user Number.

In step 603, user login information and reception of the similar game of game in the first preset time period are obtained The user terminal respective amount of similar game information.

Optionally, similar game refers to type of play, the game painting style or the similar game of game play.Type of play can Think：Network game RPG, action gunbattle, leisure intention, cool run make a breakthrough, the anti-labyrinth of tower etc..

In step 604, game user is clustered according to user login information, determines the game user of similar game Liveness parameter.

In step 605, the liveness by the liveness parameter of the game user of game to the game user of similar game Parameter is compared, and obtains comparative result.

In step 606, according to the liveness parameter of game user, it is determined that the life cycle phase that game is presently in.

In step 607, it is current according to comparative result, the user terminal respective amount of the similar game information of reception and game Residing life cycle phase, game information is sent to the user terminal of respective amount.

Specifically, the life cycle phase that the prediction meanss for life cycle of playing are presently according to game, it is determined that needing The user terminal quantity of game information is sent, and according to the user terminal respective amount of comparative result, the similar game information of reception The user terminal quantity for needing to send game information is adjusted, the user terminal quantity after being adjusted, to after adjustment User terminal quantity sends game information.

In summary, the Forecasting Methodology for the game life cycle that the present embodiment provides, by obtaining the first preset time period The user login information of interior game user, game user is clustered according to user login information, determines the work of game user Jerk parameter, obtain user login information of the similar game of game in the first preset time period and the similar game information of reception User terminal respective amount, game user is clustered according to user login information, determines the game user of similar game Liveness parameter, the liveness parameter of the liveness parameter of the game user of game and the game user of similar game is carried out Compare, obtain comparative result, according to the liveness parameter of game user, it is determined that the life cycle phase that game is presently in, root The life cycle phase being presently according to comparative result, the user terminal respective amount of the similar game information of reception and game, to The user terminal of respective amount sends game information, avoids missing, but user rapid development general to some initial qualities, uses Payment potentiality very big game in family is promoted and runed, so as to improve efficiency of operation.

Following is embodiment of the present disclosure, can be used for performing embodiments of the present disclosure.It is real for disclosure device The details not disclosed in example is applied, refer to embodiments of the present disclosure.

Fig. 7 is a kind of block diagram of the prediction meanss of game life cycle according to an exemplary embodiment, the game The prediction meanss of life cycle can be implemented in combination with the above method by software, hardware or both.The game life cycle Prediction meanss can include：

User profile acquisition module 701, the user for being configured as obtaining game user in the first preset time period log in letter Breath；

User activity determining module 702, it is configured as clustering game user according to user login information, it is determined that The liveness parameter of game user；

Life cycle phase determining module 703, the liveness parameter according to game user is configured as, it is determined that game is current Residing life cycle phase；

Sending module 704, the life cycle phase being presently according to game is configured as, it is whole to the user of respective amount End sends game information.

Optionally, sending module 704 is configured as, when the life cycle phase that game is presently in is the introducing phase, to The user terminal of first quantity sends game information；

When the life cycle phase that game is presently in is the growth stage, game letter is sent to the user terminal of the second quantity Breath；

When the life cycle phase that game is presently in is the maturity period, game content is changed, extends the work of any active ues Jump the time.

In summary, the prediction meanss for the game life cycle that the present embodiment provides, by obtaining the first preset time period The user login information of interior game user, game user is clustered according to user login information, determines the work of game user Jerk parameter, according to the liveness parameter of game user, it is determined that the life cycle phase that game is presently in, is avoided missing to one A little initial qualities are general, but user's rapid development, and the very big game of user charges potentiality is promoted and runed, so as to carry High efficiency of operation.

Fig. 8 is a kind of block diagram of the prediction meanss of game life cycle according to an exemplary embodiment, in Fig. 7 institutes On the basis of showing embodiment, the game user includes：Any active ues, normal users and risk subscribers, liveness parameter include： Any active ues account for the ratio of total game user.

Corresponding, user activity determining module 702 includes：Number of users determining unit 7021 and user activity determine single Member 7022；

Number of users determining unit 7021, it is configured as according to user login information, determines any active ues in game user Number, normal users number and risk subscribers number；

User activity determining unit 7022, it is configured as active users in game user, normal users number With risk subscribers number, determine that any active ues account for the ratio of total game user.

As a kind of example, with reference to reference to figure 9, user login information includes：Per day login times, accumulation log in secondary Number, accumulation log in number of days, accumulation payment number and accumulation payment number of days.

Corresponding, number of users determining unit 7021 includes：First number of users determination subelement 70211 and second user number are true Stator unit 70212；

First number of users determination subelement 70211, it is configured to according to per day login times, accumulation login time Number, accumulation log in number of days, accumulate pay number and accumulation payment number of days, determine per day login times, accumulation login times, tire out Product logs in number of days, accumulation payment number and active users, normal users number and risk subscribers number corresponding to accumulation payment number of days；

Second user number determination subelement 70212, it is configured as according to per day login times, accumulation login times, tires out Product logs in number of days, accumulation payment number and active users corresponding to accumulation payment number of days, determines the active use in game user Amount；Number of days, accumulation payment number and accumulation payment number of days are logged according to per day login times, accumulation login times, accumulation Corresponding normal users number, determine the normal users number in game user；According to per day login times, accumulation login times, Accumulation logs in number of days, accumulation payment number and risk subscribers number corresponding to accumulation payment number of days, determines the risk in game user Number of users.

Optionally, the first number of users determination subelement 70211 is configured as, in per day login time corresponding to game user When number is more than corresponding first preset value, game user is defined as any active ues corresponding to per day login times；Playing When per day login times corresponding to user are located in corresponding preset range, game user is defined as per day login times Corresponding normal users；When per day login times corresponding to game user are less than corresponding second preset value, game is used Family is defined as risk subscribers corresponding to per day login times.

Optionally, second user number determination subelement 70212, it is configured as using Q1=a1 × A1+a2 × B1+a3 × C1 + a4 × D1+a5 × E1 determines the active users in game user；

Optionally, second user number determination subelement 70212, it is configured as using Q2=a1 × A2+a2 × B2+a3 × C2 + a4 × D2+a5 × E2 determines the normal users number in game user；

Wherein, A2 is the game user number that per day login times are located in corresponding preset range；B2 logs in for accumulation Number is located at the game user number in corresponding preset range；C2 is that the game that accumulation is logged in corresponding to number of days in preset range is used Amount；D2 is the game user number that accumulation payment number is located in corresponding preset range；E2 for accumulation payment number of days positioned at pair Game user number in the preset range answered.

Optionally, second user number determination subelement 70212, it is configured as using Q3=a1 × A3+a2 × B3+a3 × C3 + a4 × D3+a5 × E3 determines the risk subscribers number in game user；

Optionally, life cycle phase determining module 703 is configured as,

When the ratio of any active ues is more than or equal to three preset values in game user, by the Life Cycle that is presently in of playing Stage phase is defined as the introducing phase；The ratio of any active ues is more than or equal to the 4th preset value less than the 3rd preset value in game user When, the life cycle phase that game is presently in is defined as the growth stage；The ratio of any active ues is less than the in game user When four preset values are more than or equal to five preset values, the life cycle phase that game is presently in is defined as the maturity period；Playing When the ratio of any active ues is less than five preset values in user, the life cycle phase that game is presently in is defined as failing Phase.

In summary, the prediction meanss for the game life cycle that the present embodiment provides, by obtaining the first preset time period The user login information of interior game user, according to user login information, determine active users, the normal users in game user Number and risk subscribers number, active users, normal users number and risk subscribers number in game user, determine any active ues The ratio of total game user is accounted for, the ratio of total game user is accounted for according to any active ues, it is determined that the life cycle that game is presently in In the stage, but user rapid development general to some initial qualities is avoided missing, the very big game of user charges potentiality is carried out Promote and run, so as to improve efficiency of operation.

Figure 10 is a kind of block diagram of the prediction meanss of game life cycle according to another exemplary embodiment, is being schemed On the basis of 7 illustrated embodiments, user activity determining module 702 includes：User type determining unit 7023, all types of users Number determining unit 7024 and any active ues ratio determining unit 7025.

Wherein, user type determining unit 7023 is used for the type for according to user login information, determining each game user.

All types of number of users determining units 7024 are used for the type according to each game user, determine enlivening in game user Number of users, normal users number and risk subscribers number.

Any active ues ratio determining unit 7025 is used for active users, normal users number and wind in game user Dangerous number of users, determine that any active ues account for the ratio of total game user.

Figure 11 is a kind of block diagram of the prediction meanss of game life cycle according to another exemplary embodiment, is being schemed On the basis of 7 illustrated embodiments, described device can also include：Comparison module 705；

User activity determining module 702 clusters according to user login information to game user, determines game user Liveness parameter after, User profile acquisition module 701 is additionally configured to, and obtains the similar game of game when first is default Between user login information in section and the similar game information of reception user terminal respective amount；

User activity determining module 702 is additionally configured to, and game user is clustered according to user login information, really The liveness parameter of the game user of fixed similar game；

Comparison module 705, it is configured as the game user by the liveness parameter of the game user of game and similar game Liveness parameter be compared, obtain comparative result；

Sending module 704 is configured as, according to comparative result, receive similar game information user terminal respective amount and The life cycle phase that game is presently in, game information is sent to the user terminal of respective amount.

In summary, the prediction meanss for the game life cycle that the present embodiment provides, by obtaining the first preset time period The user login information of interior game user, game user is clustered according to user login information, determines the work of game user Jerk parameter, obtain user login information of the similar game of game in the first preset time period and the similar game information of reception User terminal respective amount, game user is clustered according to user login information, determines the game user of similar game Liveness parameter, the liveness parameter of the liveness parameter of the game user of game and the game user of similar game is carried out Compare, obtain comparative result, according to the liveness parameter of game user, it is determined that the life cycle phase that game is presently in, root The life cycle phase being presently according to comparative result, the user terminal respective amount of the similar game information of reception and game, to The user terminal of respective amount sends game information, avoids missing, but user rapid development general to some initial qualities, uses Payment potentiality very big game in family is promoted and runed, so as to improve efficiency of operation.

On the device in above-described embodiment, wherein modules perform the concrete mode of operation in relevant this method Embodiment in be described in detail, explanation will be not set forth in detail herein.

Figure 12 is a kind of block diagram of gaming operators server 1000 according to an exemplary embodiment.

Reference picture 12, gaming operators server 1000 can include following one or more assemblies：Processing component 1002, Memory 1004, power supply module 1006, the interface 1008 of input/output (I/O), and communication component 1010.

Processing component 1002 generally controls the integrated operation of gaming operators server 1000, is such as logged in obtaining user Information, user clustering, data communication, life cycle phase determine and sent the operation such as operation.Processing component 1002 specifically can be with It is configured as obtaining the user login information of game user in the first preset time period；According to user login information to game user Clustered, determine the liveness parameter of game user；According to the liveness parameter of game user, it is determined that what game was presently in Life cycle phase；The life cycle phase being presently according to game, to game information corresponding to user terminal transmission.

Processing component 1002 can carry out execute instruction including one or more processors 1020, to complete above-mentioned method All or part of step.In addition, processing component 1002 can include one or more modules, it is easy to processing component 1002 and other Interaction between component.For example, processing component 1002 can include communication module, to facilitate communication component 1010 and processing component Interaction between 1002.

Memory 1004 is configured as storing the executable instruction of various types of data and processing component 1002 to prop up Hold the operation in gaming operators server 1000.The example of these data includes being used in gaming operators server 1000 The instruction of any application program or method of operation, message, data etc..Memory 1004 can by any kind of volatibility or Non-volatile memory device or combinations thereof are realized, such as static RAM (SRAM), electrically erasable Read-only storage (EEPROM), Erasable Programmable Read Only Memory EPROM (EPROM), programmable read only memory (PROM) are read-only Memory (ROM), magnetic memory, flash memory, disk or CD.

Power supply module 1006 provides electric power for the various assemblies of gaming operators server 1000.Power supply module 1006 can be with Including power-supply management system, one or more power supplys, and other are with generating, managing and distributing for gaming operators server 1000 The associated component of electric power.

I/O interfaces 1008 provide interface, above-mentioned peripheral interface module between processing component 1002 and peripheral interface module Can be keyboard, click wheel, button etc..These buttons may include but be not limited to：Home button, volume button, start button and Locking press button.

Communication component 1010 is configured to facilitate wired or wireless between gaming operators server 1000 and other equipment The communication of mode.Gaming operators server 1000 can access the wireless network based on communication standard, such as WiFi, 2G or 3G, Or combinations thereof.In one exemplary embodiment, communication component 1010 receives via broadcast channel and comes from external broadcasting pipe The broadcast singal or broadcast related information of reason system.In one exemplary embodiment, the communication component 1010 also includes near Field communication (NFC) module, to promote junction service.For example, radio frequency identification (RFID) technology, infrared number can be based in NFC module Realized according to association (IrDA) technology, ultra wide band (UWB) technology, bluetooth (BT) technology and other technologies.

In the exemplary embodiment, gaming operators server 1000 can be by one or more application specific integrated circuits (ASIC), digital signal processor (DSP), digital signal processing appts (DSPD), PLD (PLD), scene can Program gate array (FPGA), controller, microcontroller, microprocessor or other electronic components to realize, for performing above-mentioned game The Forecasting Methodology of life cycle.

In the exemplary embodiment, a kind of non-transitorycomputer readable storage medium including instructing, example are additionally provided Such as include the memory 1004 of instruction, above-mentioned instruction can be performed by the processor 1020 of gaming operators server 1000 to complete The above method.For example, the non-transitorycomputer readable storage medium can be ROM, random access memory (RAM), CD- ROM, tape, floppy disk and optical data storage devices etc..

A kind of non-transitorycomputer readable storage medium, when the instruction in the storage medium is by gaming operators service During the computing device of device 1000 so that gaming operators server 1000 is able to carry out the prediction side of above-mentioned game life cycle Method.

Those skilled in the art will readily occur to the disclosure its after considering specification and putting into practice invention disclosed herein Its embodiment.The application is intended to any modification, purposes or the adaptations of the disclosure, these modifications, purposes or Person's adaptations follow the general principle of the disclosure and including the undocumented common knowledges in the art of the disclosure Or conventional techniques.Description and embodiments are considered only as exemplary, and the true scope of the disclosure and spirit are by following Claim is pointed out.

It should be appreciated that the precision architecture that the disclosure is not limited to be described above and is shown in the drawings, and And various modifications and changes can be being carried out without departing from the scope.The scope of the present disclosure is only limited by appended claim.

Claims

A kind of 1. Forecasting Methodology for life cycle of playing, it is characterised in that including：

Obtain the user login information of game user in the first preset time period；

The game user is clustered according to the user login information, determines the liveness parameter of the game user；

According to the liveness parameter of the game user, it is determined that the life cycle phase that game is presently in；

The life cycle phase being presently according to game, game information is sent to the user terminal of respective amount.
2. according to the method for claim 1, it is characterised in that the game user includes：Any active ues, normal users and Risk subscribers, the liveness parameter include：Any active ues account for the ratio of total game user.
3. according to the method for claim 2, it is characterised in that described that the game is used according to the user login information Family is clustered, and determines the liveness parameter of the game user, including：

According to the user login information, active users, normal users number and the risk subscribers in the game user are determined Number；

Active users, normal users number and risk subscribers number in the game user, determine that any active ues account for The ratio of total game user.
4. according to the method for claim 3, it is characterised in that the user login information includes：Per day login times, Accumulate login times, accumulation logs in number of days, accumulates pay number and accumulation payment number of days.
5. according to the method for claim 4, it is characterised in that it is described according to the user login information, determine the trip Active users, normal users number and risk subscribers number in play user, including：

Number of days, the accumulation payment are logged according to the per day login times, the accumulation login times, the accumulation respectively Number and the accumulation payment number of days, determine that the per day login times, the accumulation login times, the accumulation log in day Active users, normal users number and risk subscribers number corresponding to several, described accumulation payment number and the accumulation payment number of days；

Number of days, the accumulation payment number are logged according to the per day login times, the accumulation login times, the accumulation Active users corresponding to number of days of paying are accumulated with described, determine the active users in the game user；

Number of days, the accumulation payment number are logged according to the per day login times, the accumulation login times, the accumulation Normal users number corresponding to number of days of paying is accumulated with described, determines the normal users number in the game user；

Number of days, the accumulation payment number are logged according to the per day login times, the accumulation login times, the accumulation Risk subscribers number corresponding to number of days of paying is accumulated with described, determines the risk subscribers number in the game user.
6. according to the method for claim 5, it is characterised in that described to determine the day according to the per day login times Active users, normal users number and risk subscribers number corresponding to average login times, including：

If per day login times corresponding to the game user are more than corresponding first preset value, and the game user is true It is set to any active ues corresponding to the per day login times；

If per day login times corresponding to the game user are located in corresponding preset range, and the game user is true It is set to normal users corresponding to the per day login times；

If per day login times corresponding to the game user are less than corresponding second preset value, and the game user is true It is set to risk subscribers corresponding to the per day login times.
7. according to the method for claim 5, it is characterised in that described according to the per day login times, the accumulation Login times, the accumulation log in number of days, the accumulation payment number and active users corresponding to the accumulation payment number of days, The active users in the game user are determined, including：

Active users in the game user are determined using Q1=a1 × A1+a2 × B1+a3 × C1+a4 × D1+a5 × E1；

Wherein, a1 is the default weight of the per day login times, and a2 is the default weight of the accumulation login times, and a3 is The accumulation logs in the default weight of number of days, and a4 is the default weight of accumulation payment number, and a5 is the accumulation payment number of days Default weight；A1 is the game user number that the per day login times are more than corresponding first preset value；B1 is the accumulation Login times are more than the game user number of corresponding first preset value；C1 is pre- more than corresponding first for the accumulation login number of days If the game user number of value；D1 is the game user number that the accumulation payment number is more than corresponding first preset value；E1 is institute State the game user number that accumulation payment number of days is more than corresponding first preset value.
8. according to the method for claim 5, it is characterised in that described according to the per day login times, the accumulation Login times, the accumulation log in number of days, the accumulation payment number and normal users number corresponding to the accumulation payment number of days, The normal users number in the game user is determined, including：

The normal users number in the game user is determined using Q2=a1 × A2+a2 × B2+a3 × C2+a4 × D2+a5 × E2；

Wherein, A2 is the game user number that the per day login times are located in corresponding preset range；B2 is the accumulation Login times are located at the game user number in corresponding preset range；C2 is logged in corresponding to number of days in preset range for the accumulation Game user number；D2 is the game user number that the accumulation payment number is located in corresponding preset range；E2 is described tired Product payment number of days is located at the game user number in corresponding preset range.
9. according to the method for claim 5, it is characterised in that described according to the per day login times, the accumulation Login times, the accumulation log in number of days, the accumulation payment number and risk subscribers number corresponding to the accumulation payment number of days, The risk subscribers number in the game user is determined, including：

The risk subscribers number in the game user is determined using Q3=a1 × A3+a2 × B3+a3 × C3+a4 × D3+a5 × E3；

Wherein, A3 is the game user number that the per day login times are less than corresponding second preset value；B3 is the accumulation Login times are less than the game user number of corresponding second preset value；C3 is pre- less than corresponding second for the accumulation login number of days If the game user number of value；D3 is the game user number that the accumulation payment number is less than corresponding second preset value；E3 is institute State the game user number that accumulation payment number of days is less than corresponding second preset value.
10. according to the method for claim 2, it is characterised in that the liveness parameter according to the game user, really Play calmly the life cycle phase being presently in, including：

If the ratio of any active ues is more than or equal to the 3rd preset value in the game user, by the Life Cycle that is presently in of playing Stage phase is defined as the introducing phase；

If the ratio of any active ues is more than or equal to the 4th preset value less than the 3rd preset value in the game user, game is worked as Preceding residing life cycle phase is defined as the growth stage；

If the ratio of any active ues is more than or equal to the 5th preset value less than the 4th preset value in the game user, game is worked as Preceding residing life cycle phase is defined as the maturity period；

If the ratio of any active ues is less than the 5th preset value in the game user, by the life cycle rank that is presently in of playing Section is defined as the decline phase.
11. according to the method for claim 10, it is characterised in that the life cycle rank being presently according to game Section, game information is sent to the user terminal of respective amount, including：

If the life cycle phase being presently in of playing is the introducing phase, game letter is sent to the user terminal of the first quantity Breath；

If the life cycle phase being presently in of playing is the growth stage, game letter is sent to the user terminal of the second quantity Breath；

If the life cycle phase being presently in of playing is the maturity period, game content is changed, extends the work of any active ues Jump the time.
12. according to the method for claim 1, it is characterised in that it is described according to the user login information to the game User is clustered, after the liveness parameter for determining the game user, in addition to：

It is similar with reception to obtain the user login information of the similar game of the game in first preset time period The user terminal respective amount of game information；

The game user is clustered according to the user login information, determines the work of the game user of the similar game Jerk parameter；

The liveness parameter of the game user of the game is carried out to the liveness parameter of the game user of the similar game Compare, obtain comparative result；

According to the liveness parameter of the game user, it is determined that the life cycle phase being presently in of playing, including：

It is presently according to the comparative result, the user terminal respective amount for receiving similar game information and the game Life cycle phase, to respective amount user terminal send game information.
A kind of 13. prediction meanss for life cycle of playing, it is characterised in that including：

User profile acquisition module, it is configured as obtaining the user login information of game user in the first preset time period；

User activity determining module, it is configured as clustering the game user according to the user login information, really The liveness parameter of the fixed game user；

Life cycle phase determining module, the liveness parameter according to the game user is configured as, it is determined that current institute of playing The life cycle phase at place；

Sending module, the life cycle phase being presently according to game is configured as, is sent to the user terminal of respective amount Game information.
14. device according to claim 13, it is characterised in that the game user includes：Any active ues, normal users And risk subscribers, the liveness parameter include：Any active ues account for the ratio of total game user.
15. device according to claim 14, it is characterised in that the user activity determining module includes：Number of users Determining unit and user activity determining unit；

The number of users determining unit, it is configured as, according to the user login information, determining enlivening in the game user Number of users, normal users number and risk subscribers number；

The user activity determining unit, it is configured as active users in the game user, normal users number With risk subscribers number, determine that any active ues account for the ratio of total game user.
16. device according to claim 15, it is characterised in that the user login information includes：Per day login time Number, accumulation login times, accumulation log in number of days, accumulation payment number and accumulation payment number of days.
17. device according to claim 16, it is characterised in that the number of users determining unit includes：First number of users Determination subelement and second user number determination subelement；

The first number of users determination subelement, it is configured to be logged according to the per day login times, the accumulation Number, the accumulation login number of days, the accumulation payment number and the accumulation payment number of days, determine the per day login time Several, described accumulation login times, the accumulation are logged in corresponding to number of days, the accumulation payment number and the accumulation payment number of days Active users, normal users number and risk subscribers number；

The second user number determination subelement, be configured as according to the per day login times, it is described accumulation login times, The accumulation logs in number of days, the accumulation payment number and active users corresponding to the accumulation payment number of days, it is determined that described Active users in game user；

The second user number determination subelement, it is additionally configured to according to the per day login times, the accumulation login time Several, described accumulation logs in number of days, the accumulation payment number and normal users number corresponding to the accumulation payment number of days, determines institute State the normal users number in game user；

The second user number determination subelement, it is additionally configured to according to the per day login times, the accumulation login time Several, described accumulation logs in number of days, the accumulation payment number and risk subscribers number corresponding to the accumulation payment number of days, determines institute State the risk subscribers number in game user.
18. device according to claim 17, it is characterised in that the first number of users determination subelement is configured as,

It is when per day login times corresponding to the game user are more than corresponding first preset value, the game user is true It is set to any active ues corresponding to the per day login times；

It is when per day login times corresponding to the game user are located in corresponding preset range, the game user is true It is set to normal users corresponding to the per day login times；

It is when per day login times corresponding to the game user are less than corresponding second preset value, the game user is true It is set to risk subscribers corresponding to the per day login times.
19. device according to claim 17, it is characterised in that the second user number determination subelement, be configured as Active users in the game user are determined using Q1=a1 × A1+a2 × B1+a3 × C1+a4 × D1+a5 × E1；

Wherein, a1 is the default weight of the per day login times, and a2 is the default weight of the accumulation login times, and a3 is The accumulation logs in the default weight of number of days, and a4 is the default weight of accumulation payment number, and a5 is the accumulation payment number of days Default weight；A1 is the game user number that the per day login times are more than corresponding first preset value；B1 is the accumulation Login times are more than the game user number of corresponding first preset value；C1 is pre- more than corresponding first for the accumulation login number of days If the game user number of value；D1 is the game user number that the accumulation payment number is more than corresponding first preset value；E1 is institute State the game user number that accumulation payment number of days is more than corresponding first preset value.
20. device according to claim 17, it is characterised in that the second user number determination subelement, be configured as The normal users number in the game user is determined using Q2=a1 × A2+a2 × B2+a3 × C2+a4 × D2+a5 × E2；

Wherein, A2 is the game user number that the per day login times are located in corresponding preset range；B2 is the accumulation Login times are located at the game user number in corresponding preset range；C2 is logged in corresponding to number of days in preset range for the accumulation Game user number；D2 is the game user number that the accumulation payment number is located in corresponding preset range；E2 is described tired Product payment number of days is located at the game user number in corresponding preset range.
21. device according to claim 17, it is characterised in that the second user number determination subelement, be configured as The risk subscribers number in the game user is determined using Q3=a1 × A3+a2 × B3+a3 × C3+a4 × D3+a5 × E3；

Wherein, A3 is the game user number that the per day login times are less than corresponding second preset value；B3 is the accumulation Login times are less than the game user number of corresponding second preset value；C3 is pre- less than corresponding second for the accumulation login number of days If the game user number of value；D3 is the game user number that the accumulation payment number is less than corresponding second preset value；E3 is institute State the game user number that accumulation payment number of days is less than corresponding second preset value.
22. device according to claim 14, it is characterised in that the life cycle phase determining module is configured as,

When the ratio of any active ues is more than or equal to three preset values in the game user, by the Life Cycle that is presently in of playing Stage phase is defined as the introducing phase；

When the ratio of any active ues is more than or equal to four preset values less than the 3rd preset value in the game user, game is worked as Preceding residing life cycle phase is defined as the growth stage；

When the ratio of any active ues is more than or equal to five preset values less than the 4th preset value in the game user, game is worked as Preceding residing life cycle phase is defined as the maturity period；

When the ratio of any active ues is less than five preset values in the game user, by the life cycle rank that is presently in of playing Section is defined as the decline phase.
23. device according to claim 22, it is characterised in that the sending module is configured as,

When the life cycle phase that the game is presently in is the introducing phase, game letter is sent to the user terminal of the first quantity Breath；

When the life cycle phase that the game is presently in is the growth stage, game letter is sent to the user terminal of the second quantity Breath；

When the life cycle phase that the game is presently in is the maturity period, game content is changed, extends the work of any active ues Jump the time.
24. device according to claim 13, it is characterised in that described device also includes：Comparison module；

The user activity determining module clusters according to the user login information to the game user, it is determined that described After the liveness parameter of game user, the User profile acquisition module is additionally configured to, and obtains the similar trip of the game The user login information played in first preset time period corresponds to number with the user terminal of the similar game information of reception Amount；

The user activity determining module is additionally configured to, and the game user is gathered according to the user login information Class, determine the liveness parameter of the game user of the similar game；

The comparison module, it is configured as the game by the liveness parameter of the game user of the game and the similar game The liveness parameter of user is compared, and obtains comparative result；

The life cycle phase determining module is configured as, and according to the comparative result, described receives similar game information User terminal respective amount and the life cycle phase being presently in of playing, game is sent to the user terminal of respective amount Information.
A kind of 25. gaming operators server, it is characterised in that including：

Processing component；

For the memory for the executable instruction for storing the processor；

Wherein, the processing component is configured as：

Obtain the user login information of game user in the first preset time period；

The game user is clustered according to the user login information, determines the liveness parameter of the game user；

According to the liveness parameter of the game user, it is determined that the life cycle phase that game is presently in；

The life cycle phase being presently according to game, to game information corresponding to user terminal transmission.