CN106503006A

CN106503006A - The sort method and device of application App neutron applications

Info

Publication number: CN106503006A
Application number: CN201510563357.5A
Authority: CN
Inventors: 杨建形; 张玉
Original assignee: Alibaba Group Holding Ltd
Current assignee: Advanced New Technologies Co Ltd; Advantageous New Technologies Co Ltd
Priority date: 2015-09-07
Filing date: 2015-09-07
Publication date: 2017-03-15
Anticipated expiration: 2035-09-07
Also published as: CN111506801A; CN106503006B; CN111506801B

Abstract

The invention discloses a kind of sort method of application App neutron applications and device.Wherein, the method includes：The customer attribute information using the first application App is obtained, wherein, the customer attribute information is used for the information of the feature of instruction user, and the first application App includes multiple first son applications；The application feature database that the customer attribute information is pre-build with each the first son application is mated；According to the customer attribute information and the matching result of application feature database, each the first son application described is ranked up.

Description

The sort method and device of application App neutron applications

Technical field

The present invention relates to internet arena, in particular to a kind of sort method of application App neutron applications and dress Put.

Background technology

With developing rapidly for computer internet technology, arisen at the historic moment based on the application software of various applications.Moving Internet era, most of users are being used in more and more multifarious application software, and each application software Portion all includes substantial amounts of sub- application.

However, prior art is when user is when using certain a specific application software, the son due to including inside which should With too many, therefore after the version updating of each application software, it is conventional or think that user often can not find oneself Son application, or several pages of list of applications must be ransackd can just find, cause application software adaptability poor, waste user The problem of time.For above-mentioned problem, effective solution is not yet proposed at present.

Content of the invention

A kind of sort method of application App neutron applications and device is embodiments provided, existing at least to solve Using during application software, after version updating, user is difficult to find the first son application that is conventional or thinking technology, leads The technical problem for causing application software adaptability poor.

A kind of one side according to embodiments of the present invention, there is provided sort method of application App neutron applications, including： The customer attribute information using the first application App is obtained, wherein, the customer attribute information is used for the spy of instruction user The information that levies, the first application App include multiple first son applications；By the customer attribute information with each the The application feature database that one son application pre-builds is mated；According to the customer attribute information with application feature database Match somebody with somebody result, each the first son application described is ranked up.

Another aspect according to embodiments of the present invention, additionally provides a kind of collator of application App neutron applications, bag Include：First acquisition unit, for obtaining the customer attribute information using the first application App, wherein, user's category Property information be used for instruction user feature information, described first application App include multiple first son apply；Process Unit, for being mated the application feature database that the customer attribute information is pre-build with each the first son application； Sequencing unit, for according to the customer attribute information and the matching result for applying feature database, to each first son described Application is ranked up.

In embodiments of the present invention, using the customer attribute information obtained using the first application App, wherein, user belongs to Property information be used for instruction user feature information, first application App include multiple first son apply；User is belonged to Property information mated with each the first son application feature database for pre-building of application；According to customer attribute information and application The matching result of feature database, the mode is ranked up by each the first son application are special with application by customer attribute information The matching result in storehouse is levied, each the first son application described is ranked up, the real behavior data by user have been reached The essential requirement of also original subscriber, and then the purpose of the application that can recommend be suitable for each user's use habit to user, It is achieved thereby that increasing the adaptive technique effect of application software, and then solve mistake of the prior art using application software Cheng Zhong, after version updating, user is difficult to find the first son application that is conventional or thinking, causes application software adaptability poor Technical problem.

Description of the drawings

Accompanying drawing described herein is used for providing a further understanding of the present invention, constitutes the part of the application, this Bright schematic description and description does not constitute inappropriate limitation of the present invention for explaining the present invention.In accompanying drawing In：

Fig. 1 is a kind of terminal of the sort method of operation application App neutron applications according to embodiments of the present invention Hardware block diagram；

Fig. 2 is that the flow process of the sort method of a kind of optional application App neutron applications according to embodiments of the present invention is illustrated Figure；

Fig. 3 is that the flow process of the sort method of the optional application App neutron applications of another kind according to embodiments of the present invention is shown It is intended to；

Fig. 4 is that the flow process of the sort method of another optional application App neutron application according to embodiments of the present invention is shown It is intended to；

Fig. 5 is that the flow process of the sort method of another optional application App neutron application according to embodiments of the present invention is shown It is intended to；

Fig. 6 is the structural representation of the collator of a kind of optional application App neutron applications according to embodiments of the present invention Figure；

Fig. 7 is that the structure of the collator of the optional application App neutron applications of another kind according to embodiments of the present invention is shown It is intended to；

Fig. 8 is the structural representation of a kind of optional processing unit according to embodiments of the present invention；

Fig. 9 is the structural representation of a kind of optional second computing module according to embodiments of the present invention；

Figure 10 is that the structure of the collator of another optional application App neutron application according to embodiments of the present invention is shown It is intended to；

Figure 11 is that the structure of the collator of another optional application App neutron application according to embodiments of the present invention is shown It is intended to；

Figure 12 is that the structure of the collator of another optional application App neutron application according to embodiments of the present invention is shown It is intended to.

Specific embodiment

In order that those skilled in the art more fully understand the present invention program, below in conjunction with the embodiment of the present invention in Accompanying drawing, to the embodiment of the present invention in technical scheme be clearly and completely described, it is clear that described embodiment The only embodiment of a present invention part, rather than whole embodiments.Embodiment in based on the present invention, ability The every other embodiment obtained under the premise of creative work is not made by domain those of ordinary skill, should all belong to The scope of protection of the invention.

It should be noted that description and claims of this specification and the term " first " in above-mentioned accompanying drawing, " Two " it is etc. for distinguishing similar object, without for describing specific order or precedence.It should be appreciated that this The data that sample is used can be exchanged in the appropriate case, so as to embodiments of the invention described herein can with except Here the order beyond those for illustrating or describing is implemented.Additionally, term " comprising " and " having " and they Any deformation, it is intended that cover non-exclusive process, the side for including, for example, containing series of steps or unit Method, system, product or equipment are not necessarily limited to those steps that clearly lists or unit, but may include unclear List or for other intrinsic steps of these processes, method, product or equipment or unit.

Embodiment 1

According to embodiments of the present invention, a kind of embodiment of the method for the sort method of application App neutron applications is additionally provided, It should be noted that can be in the calculating of such as one group of computer executable instructions the step of the flow process of accompanying drawing is illustrated Execute in machine system, and, although show logical order in flow charts, but in some cases, can be with The order being different from herein executes shown or described step.

The embodiment of the method provided by the embodiment of the present application one can be in mobile terminal, terminal or similar fortune Calculate in device and execute.As a example by running on computer terminals, Fig. 1 is in a kind of application App of the embodiment of the present invention The hardware block diagram of the terminal of the sort method of son application.As shown in figure 1, terminal 10 can be wrapped (processor 102 can include but is not limited to microprocessor to processor 102 to include one or more (only illustrating one in figure) The processing meanss of device MCU or PLD FPGA etc.), for data storage memorizer 104, Yi Jiyong Transmitting device 106 in communication function.It will appreciated by the skilled person that the structure shown in Fig. 1 is only to show Meaning, which does not cause to limit to the structure of above-mentioned electronic installation.For example, terminal 10 may also include and compare Fig. 1 Shown in more or less component, or with the configuration different from shown in Fig. 1.

Memorizer 104 can be used for software program and the module for storing application software, the such as application in the embodiment of the present invention Corresponding programmed instruction/the module of the sort method of App neutron applications, processor 102 are stored in memorizer 104 by operation Interior software program and module, so as to execute various function application and data processing, that is, realize above-mentioned application journey The leak detection method of sequence.Memorizer 104 may include high speed random access memory, may also include nonvolatile memory, Such as one or more magnetic storage device, flash memory or other non-volatile solid state memories.In some instances, Memorizer 104 can further include the memorizer remotely located relative to processor 102, and these remote memories can be with By network connection to terminal 10.The example of above-mentioned network include but is not limited to the Internet, intranet, LAN, mobile radio communication and combinations thereof.

Transmitting device 106 is used for receiving via a network or sends data.Above-mentioned network instantiation may include The wireless network that the communication providerses of terminal 10 are provided.In an example, transmitting device 106 includes one Network adapter (Network Interface Controller, NIC), its can pass through base station and other network equipments It is connected so as to can be communicated with the Internet.In an example, transmitting device 106 can be radio frequency (Radio Frequency, RF) module, which is used for wirelessly being communicated with the Internet.

Under above-mentioned running environment, this application provides the sort method of application App neutron applications as shown in Figure 2. Fig. 2 is the flow chart of the sort method of according to embodiments of the present invention one application App neutron applications.

As shown in Fig. 2 the sort method of application App neutron applications can include step is implemented as described below：

Step S202, obtains the customer attribute information using the first application App, and wherein, customer attribute information is used for referring to Show that the information of the feature of user, the first application App include multiple first son applications.

It is soft that the first application App in the application above-mentioned steps S202 is not limited to the applications such as Alipay, Taobao, Taobao's travelling Part, the first son application are not limited to purchase the air ticket, pay the application such as water power coal.User can be noted on the first application App Volume logon account, after each user logs in the first application App using logon account, can pass through operation first and apply App generates the operation information of each the first son application.

In the embodiment of the present invention, customer attribute information can serve to indicate that the feature of user, and the customer attribute information includes But it is not limited to the following combination of one or more：Occupation, age, sex, consumption type and consumption degree.Wherein, Occupation, age, sex, consumption type and consumption degree can be that on the first application App, registration is logged according to user Speculated obtained from the information being input into during account, or by the operation information of user and obtained, for example, if user A often purchases the air ticket and position is often changed, then the occupation that can deduce user A is probably businessperson, and For example, if user B often buys women's dress, then the sex that can deduce user B is probably Ms.

Step S204, the application feature database that customer attribute information is pre-build with each the first son application is mated, According to customer attribute information and the matching result of application feature database, each the first son application is ranked up.

The application feature database that customer attribute information is pre-build with each the first son application is mated, is specifically included： The information similarity of application feature database that customer attribute information with each first son application pre-build, information are calculated respectively Similarity is the matching result of customer attribute information and each application feature database.If the attribute of coupling is more, information is similar Degree is then bigger, shows more match.

For each the first son application, the historic user attribute information of each the first son application is utilized respectively, is built in advance The application feature database of each the first son application is found, that is, extracts the crowd characteristic at present using the first son application, side by side Go out to quantify and orientable attribute tags, as the application feature database of the first son application.If user meets certain The feature of the first son application is more, then user is bigger using the probability of the sub- application.

Further, the information similarity of the application feature database that is applied with each first son according to customer attribute information, to each First son application is ranked up.

Alternatively, when S202 obtains the customer attribute information using the first application App, can also include：Obtain the The operation information of each first son application of the user of one application App in the first preset time period, operation information include Operation behavior information of the user of the first application App in each the first son application.

In the embodiment of the present invention, operation information can include the user of the first application App in each the first son application Operation behavior information, the operation behavior information include the following combination of one or more：Last time use time, point Hit number of times and payment times.For example, the collator of application App neutron applications can be purchased the air ticket to user A Number of times, the number of times for clicking on application of purchasing the air ticket and last time were recorded using the time of application of purchasing the air ticket.

For example, as a example by applying A, after any one logon account for succeeding in registration Successful login Alipay, can With the function of each the first son application in Alipay, specifically, apply the collator of App neutron applications count In the first preset time period, the operation information of each application that (for example, in 3 months) Alipay is generated is (including behaviour Make behavioural information), for example, within these three moons in January, 2015 to March, user A is applied for " air ticket " Last time use time be on March 28th, 2015, number of clicks is 67 times, and payment times are 9 times；" water The last time use time that electric coal " is applied is on January 31st, 2015, and number of clicks is 5 times, and payment times are 1 time；The last time use time that " washing in a pan point point " applies is on January 12nd, 2015, and number of clicks is 16 times, Payment times are 5 times, and apply the collator of App neutron applications obtain the customer attribute information of Alipay, For example, the attribute information of user A includes：Sex man, 37 years old age, professional sales manager etc., apply App neutrons The collator of application can be according to the above- mentioned information for acquiring, to " air ticket " application, " water power coal " application and " water Electric coal " application is ranked up.

Then, the customer attribute information and each the first son application feature database for pre-building of application are carried out in S204 Matching somebody with somebody includes：According to operation behavior information, the weight of operation behavior information and customer attribute information, it is calculated respectively The recommendation degree score of each the first son application.

In the application above-mentioned steps, the weight of operation behavior information can be stored in advance in application App for designer Son application collator in, specific weight value can by operator, BI (Business Intelligence, Business intelligence) and product designer together decide on.

Still as a example by applying A, getting within these three moons in January, 2015 to March, user A is for " machine The last time use time that ticket " is applied is on March 28th, 2015, and number of clicks is 67 times, and payment times are 9 Secondary；The last time use time that " water power coal " is applied is on January 31st, 2015, and number of clicks is 5 times, pays Number of times is 1 time；The last time use time that " washing in a pan point point " applies is on January 12nd, 2015, and number of clicks is 16 times, payment times are 5 times, and the attribute information of user A includes：Sex man, 37 years old age, occupation pin Sell manager etc., apply App neutron applications collator can according to above-mentioned data and the weight of operation behavior information, " air ticket " application, " water power coal " apply and " wash in a pan a point point " apply recommendation degree score is calculated respectively.

The sort method of the application App neutron applications of the embodiment of the present invention can also original subscriber default first between in section Using the behavioural habits of each the first son application, number of clicks and payment times therefore can be paid close attention to, and when weakening Between factor, only for number of clicks and payment times close in the case of do successively sequence, therefore payment can be preset The weight of number of times>The weight of number of clicks>>The weight of last time use time.

It should be noted that the sort method of the application App neutron applications of the embodiment of the present invention can be according to different passes Note degree arranges corresponding weight to operation behavior information, all should be within the protection domain of the embodiment of the present invention.

Alternatively, also include after S204：Step S206, according to each first son application ranking results, to First application App recommends the first son application.

In the application above-mentioned steps S206, apply the collator of App neutron applications be calculated each respectively After the recommendation degree score of the first son application, according to the recommendation degree score of each the first son application, to the first application App Recommend the first son application.The collator of application App neutron applications can be, but not limited to by generate include each the The application recommendation list of one son application, and then application recommendation list is recommended the mode of the first application App according to each The recommendation degree score of the first son application, recommends the first son application to the first application App.

Still as a example by applying A, the collator of App neutron applications is applied according to " air ticket " application, " water power coal " The recommendation degree score that application and " washing in a pan point point " are applied, generates comprising " air ticket " application, " washing in a pan point point " application, " water The application recommendation list that electric coal " is applied, after Alipay more redaction, is pushed to user with the application recommendation list A.For user A, its " air ticket " application often to be used is arranged in forward position, " the water that seldom uses Electric coal " application is arranged in rearward position.

From the foregoing, it will be observed that the scheme provided by the above embodiments of the present application one, by according to attribute information and each first The operation information of son application is ranked up to each the first son application, has reached the real behavior data convert by user The essential requirement of user, is suitable for the purpose of the application of each user's use habit to user's recommendation, it is achieved thereby that increasing Plus the adaptive technique effect of application software, and then prior art is solved using during application software, version is more After new, user is difficult to find the first son application that is conventional or thinking, the technical problem for causing application software adaptability poor.

Alternatively, described the customer attribute information is carried out with each the first son application feature database for pre-building of application Coupling includes：According to the operation behavior information, the weight of the operation behavior information and the customer attribute information, The recommendation degree score of each first son application is calculated respectively.

In a kind of alternative that the above embodiments of the present application are provided, as shown in figure 3, above-mentioned according to the user property Information and the matching result of application feature database, are ranked up to each the first son application described, can include：

S302, according to the recommendation degree score of each the first son application, is ranked up to each the first son application.

In the application above-mentioned steps S302, apply the collator of App neutron applications realize in the way of employing is given a mark Sequence to each the first son application, also, apply the collator of App neutron applications believe based on operation behavior Breath, the weight of operation behavior information and customer attribute information, give a mark to each the first son application, also, root According to the recommendation degree score of each the first son application, each the first son application is ranked up.

Alternatively, above-mentioned steps S302, based on operation behavior information, the weight of operation behavior information and user property Information, carrying out marking to each the first son application can be using being implemented as follows scheme：

Step S3022, according to operation behavior information and the weight of operation behavior information, calculates each the first son application The first score value.

In the application above-mentioned steps S3022, apply the collator of App neutron applications on the one hand can be gone according to operation For information and the weight of operation behavior information, the first score value of each the first son application is calculated, on the other hand can be with root According to customer attribute information, the second score value of each the first son application is calculated.First, the embodiment of the present invention is to applying App The collator of neutron application how according to operation behavior information and the weight of operation behavior information, calculate each first First score value of son application is described in detail：

Alternatively, above-mentioned steps S3022, according to operation behavior information and the weight of operation behavior information, calculate each First score value of individual first son application can adopt and scheme is implemented as follows：

S10, is normalized to operation behavior information.

In the application above-mentioned steps S10, due to operation behavior information (for example, last time use time, click time Number and payment times) not in a dimension, therefore the collator of application App neutron applications first can be to behaviour It is normalized as behavioural information.Wherein, normalization is a kind of dimensionless processing means, will have the table of dimension Formula is reached, through conversion, nondimensional expression formula is turned to, is become scalar.

Wherein, operation behavior information includes the following combination of one or more：Last time use time, number of clicks And payment times.

Alternatively, in the case where operation behavior information includes last time use time, above-mentioned steps S10, to behaviour It is normalized as behavioural information, can includes：Obtain in the user behavior sample set of collection in advance corresponding to most The maximum of first use time and minima afterwards；By formula Y₁=(R-R_max)/(R_max-R_min) calculate normalizing Last time use time after change, wherein, Y₁Represent that the last time use time after normalization, R represent last First use time, R_maxRepresent the maximum corresponding to last time use time, R_minRepresent corresponding to last The minima of secondary use time.

In the case where operation behavior information includes number of clicks, above-mentioned steps S10 are returned to operation behavior information One change is processed, and can be included：Obtain in the in advance user behavior sample set of collection corresponding to number of clicks maximum and Minima；By formula Y₂=(F-F_min)/(F_max-F_min) calculate the number of clicks after normalization, wherein, Y₂ Represent that the number of clicks after normalization, F represent number of clicks, F_maxRepresent the maximum corresponding to number of clicks, F_min Represent the minima corresponding to number of clicks.

In the case where operation behavior information includes payment times, above-mentioned steps S10 are returned to operation behavior information One change is processed, and can be included：Obtain in the in advance user behavior sample set of collection corresponding to payment times maximum and Minima；By formula Y₃=(M-M_min)/(M_max-M_min) payment times after normalization are calculated, wherein, Y₃Represent that the payment times after normalization, F represent payment times, M_maxThe maximum corresponding to payment times is represented, M_minRepresent the minima corresponding to payment times.

The embodiment of the present invention to number of clicks and can be propped up during being normalized to operation behavior information Pay the extreme value in number of times and all do especially process, in sample set, for example, remove the numerical value of obvious exception, to avoid affecting The effect of normalized.

S12, by formulaThe first score value of each the first son application is calculated, wherein, S1 represents the One score value, Y_iRepresent that the operation behavior information after normalization, n represent the number of operation behavior information, X_iRepresent operation row Weight for information.

In the application above-mentioned steps S12, the collator of App neutron applications is applied to return operation behavior information After one change is processed, formula can be passed throughCalculate the first score value of each the first son application.

For example, in the case where operation behavior information includes last time use time, number of clicks and payment times, S1=X₁×Y₁+X₂×Y₂+X₃×Y₃, wherein, Y₁Represent the last time use time after normalization, Y₂Expression is returned Number of clicks after one change, Y₃Represent the payment times after normalization, X₁When representing that last time set in advance is used Between corresponding weight, X₂Represent the corresponding weight of number of clicks set in advance, X₃Represent payment time set in advance The corresponding weight of number, X₃>X₂>>X₁.

Step S3024, customer attribute information is mated with the application feature database for pre-building, calculate each first Second score value of son application.

In the application above-mentioned steps S3024, the application feature database that pre-builds can be in advance from each application, The crowd characteristic that applies using each at present is extracted jointly by product manager and/or service operation people, and is listed and can be quantified With orientable attribute tags, it is that each application determines corresponding attribute tags, and then obtains the application for pre-building Feature database.Below, the embodiment of the present invention to apply the collator of App neutron applications how by customer attribute information with The application feature database for pre-building is mated, and the second score value for calculating each the first son application is described in detail：

Alternatively, above-mentioned steps S3024, customer attribute information is mated with the application feature database for pre-building, Second score value for calculating each the first son application can be using being implemented as follows scheme：

S20, searches the application matched with customer attribute information in the application feature database for pre-building.

In the application above-mentioned steps S20, the collator of application App neutron applications can be special in the application for pre-building Levy and in storehouse, search the application matched with customer attribute information, for example, apply the collator of App neutron applications can be with According to the occupation in customer attribute information, age, sex, consumption type and consumption degree etc. with each application above-mentioned really Fixed corresponding attribute tags are mated, and then find the application matched with customer attribute information.

For example, the attribute mark that " stock market " application and " travel abroad " are applied in the application feature database for pre-building Signing includes businessperson, and the attribute information of user A includes：Sex man, 37 years old age, professional sales manager, its In may determine that user A is belonging to businessperson by occupation, then application App neutron applications collator then may be used With find from the application feature database for pre-building " stock market " that mate with the attribute information of user A apply and " travel abroad " is applied.

S22, gives preset fraction to the application matched with customer attribute information.

In above-mentioned steps S22, the collator of App neutron applications is applied to look in the application feature database for pre-building After looking for the application matched with customer attribute information, the application that customer attribute information can be matched gives default point Number, wherein, preset fraction can also operator, BI and product designer together decide on.For example, App is applied The collator of neutron application can be to finding the attribute information with user A from the application feature database for pre-building " stock market " application and " travel abroad " application that matches somebody with somebody gives the preset fraction, and unmatched application is not given The preset fraction.

S24, according to preset fraction, calculates the second score value of each the first son application.

In the application above-mentioned steps S24, the collator of App neutron applications is applied to above-mentioned and customer attribute information After the application for matching gives preset fraction, the second score value of each the first son application can be calculated.

Step S3026, to each first son application first score value sue for peace with the second score value, obtain each first The score value of the corresponding recommendation degree score of son application.

In the application above-mentioned steps S3026, the of each the first son application for being obtained based on above-mentioned steps S10 to S12 One score value, and each first sub second score value that applies that above-mentioned steps S20 to S24 is obtained, apply App neutrons The collator of application is sued for peace to first score value and the second score value, and then it is corresponding to obtain each the first son application The score value of recommendation degree score.

S304, will come top n the first son application and recommend the first application App, and wherein N is default positive integer；Or First son application of the recommendation degree score more than predetermined threshold value is recommended the first application App by person.

In the application above-mentioned steps S304, the collator of App neutron applications is applied to calculate each the first son application Score value after, each the first son application can be ranked up according to score value order from big to small, and before coming The first application App is recommended in N number of first son application, or, first son of the recommendation degree score more than predetermined threshold value is applied Recommend the first application App.For example, the collator of application App neutron applications is calculated for user A, " machine The fraction that ticket " is applied is more than " overseas more than the fraction that " stock market " is applied more than the fraction that " washing in a pan point point " applies The fraction that the fraction " water power coal " that trip " is applied is applied, and then the collator of App neutron applications is applied according to score value Order from big to small, according to " air ticket " application, " washing in a pan point point " application, " stock market " application, " travel abroad " The order that application, " water power coal " are applied, and top n the first son application or recommendation degree score will be come more than default threshold First son application of value generates above-mentioned application recommendation list.

It should be noted that the embodiment of the present invention be exemplary explanation can be right according to score value order from big to small Each the first son application is ranked up, it would however also be possible to employ from small to large etc., the present invention is to this for other modes, such as score value It is not restricted.

In a kind of alternative that the above embodiments of the present application are provided, as shown in figure 4, above-mentioned steps S206, according to each The recommendation degree score of individual first son application, before recommending the first son application to the first application App, application App neutrons should Sort method can also include：

S402, determines that the first application App does not generate operation information and the first application App in the first preset time period The second son application of operation information is generated in the second preset time period.

Above-mentioned steps S202 apply the collator of App neutron applications in the first Preset Time into step S206 Each the first son application for generating operation information in section is ranked up, alternatively, in the application above-mentioned steps S402, The collator of application App neutron applications can also be lost in user to the silence that applies carries out application recommendation, i.e., first Operation information is not generated in preset time period and the first application App generates operation information in the second preset time period Second son application (for example, be not used in nearly 3 months, but used in nearly 1 year).

Still as a example by applying A, user A is not used in nearly three months, but used application is in nearly 1 year " book keeping operation is originally " application, then the collator of application App neutron applications can find out " the note according to above-mentioned condition Account book " is applied.

S404, gives default score value to the second son application.

In above-mentioned steps S404, the collator of App neutron applications is applied to determine the first application App pre- first If not generating operation information in the time period and the first application App generating the of operation information in the second preset time period After two son applications, default score value can be given to the second son application.Identical, the default score value can also be operations Business, BI and product designer together decide on.

Still as a example by applying A, the collator of App neutron applications is applied to find out " the note according to above-mentioned condition After account book " application, score value can be given to " book keeping operation this " application, then follow-up according to score value from big to Little when being ranked up to application, should be to " air ticket " application, " wash in a pan point a point " application, " stock market " application, " border Outer trip " application, " water power coal " application and " book keeping operation is originally " application are ranked up jointly, so as to generate comprising " air ticket " Application, " washing in a pan point point " application, " stock market " application, " travel abroad " application, " water power coal " application and " note The application recommendation list that account book " is applied.

Alternatively, according to the recommendation degree score of each the first son application, recommend the first son application to the first application App, Including：According to score value order from big to small, recommend the first son application and the second son application to the first application App.

In a kind of alternative that the above embodiments of the present application are provided, above-mentioned steps S206, according to each the first son application Recommendation degree score, to first application App recommend first son application before, apply App neutron applications sort method Can also include：

S30, obtains the 3rd son application that need to be arranged in before each the first son application.

Wherein, according to the recommendation degree score of each the first son application, the first son application, bag are recommended to the first application App Include：3rd son is applied and each the first son application is ranked up, and deleted sub with the 3rd in each the first son application Application identical application；Recommend the 3rd son application and each the first son application to the first application App, wherein, each Do not include in first son application and the 3rd son application identical application.

In above-mentioned steps S30, based on operator to the popularization demand of application or based on the higher application of some importances, The sort method of the application App neutron applications of the embodiment of the present invention can be obtained with generating before applying recommendation list Need to be arranged in the 3rd son application before each the first son application.

Still as a example by applying A, " Yuebao " application, " transferring accounts " application, " prepaid mobile phone recharging " application, " credit card Refund " application etc. belongs to the application or the application that importance is higher of operator's needs popularization, and these applications need to arrange In forward position (in general position is fixed), for each, the position of these applications is identical, then The collator of application App neutron applications can obtain " Yuebao " application before application recommendation list is generated, " turn The applications such as account " application, " prepaid mobile phone recharging " application, " credit card repayment " application, and then " Yuebao " is applied, " transferring accounts " application, " prepaid mobile phone recharging " are applied, " credit card repayment " is applied, " air ticket " is applied, " washing in a pan point point " answers It is ranked up with, " stock market " application, " travel abroad " application, " water power coal " application and " book keeping operation this " application, It should be noted that be possible to come across above-mentioned 3rd son application identical application in each the first son application above-mentioned, that , in sequence, should delete in each the first son application and identical application be applied with the 3rd son, and then should to first Recommend the 3rd son application and each the first son application with App, wherein, do not include and the 3rd in each the first son application Son application identical application.

S40, obtains the 4th son application that need to be arranged in after each first son is applied.

Wherein, according to the recommendation degree score of each the first son application, the first son application, bag are recommended to the first application App Include：To the 4th son application and each first son application be ranked up, and delete the 4th son application in each first son Application identical application；Recommend the 4th son application and each the first son application, wherein, the 4th to the first application App Do not include in son application and each the first son application identical application.

In above-mentioned steps S40, based on popular use habit, the row of the application App neutron applications of the embodiment of the present invention Sequence method can also be obtained to be needed to be arranged in the 4th son application before each the first son application.

Still as a example by applying A, " love donation " application, " AA gatherings " application, " financing small tool " are applied, " are gone " application etc. belongs to the application of the use habit for meeting masses, these applications can be arranged in rearward position, then Application App neutron applications collator generate application recommendation list before can obtain " love donation " application, The applications such as " AA gatherings " application, " financing small tool " application, " going " application, and then should to " love donation " With, " AA gatherings " application, " financing small tool " application, " going " application, " air ticket " application, " wash in a pan point a point " Application, " stock market " application, " travel abroad " application, " water power coal " application and " keeping accounts this " application are arranged Sequence, it should be noted that be possible to come across above-mentioned 4th son application identical application in each the first son application above-mentioned, So, in sequence, should delete in the 4th son application with each the first son application identical application, and then to first Application App recommends the 4th son application and each the first son application, wherein, do not include in the 4th son application with each the One son application identical application.

You need to add is that, for the sort method of the application App neutron applications of the embodiment of the present invention, if application App The collator of neutron application cannot obtain the user of the customer attribute information of the first application App and the first application App Operation information of each the first son application in the first preset time period, for example, the user be download for the first time this One application App, and from being not used, then the collator of application App neutron applications can obtain acquiescence just Beginning list of application, and it is pushed to the first application App.

With reference to Fig. 5, the overall plan of the application is carried out exemplary description：

Step A, Part I (highest priority)：The fixed position of the 3rd son application.

In the application above-mentioned steps A, based on popularization demand or based on some importances higher of the operator to application Application, the sort method of the application App neutron applications of the embodiment of the present invention can with generating before applying recommendation list, Obtaining needs to be arranged in the 3rd son application before each the first son application.

As a example by applying A, " Yuebao " application, " transferring accounts " application, " prepaid mobile phone recharging " application, " credit card repayment " Application etc. belongs to the higher application of the application that operator needs promote or importance, these apply need to be arranged in forward Position (in general position is fixed), for each, these application positions be identical, then application The collator of App neutron applications can obtain " Yuebao " application, " transferring accounts " before application recommendation list is generated The applications such as application, " prepaid mobile phone recharging " application, " credit card repayment " application

Step B, Part II (priority is taken second place)：Personalization preferences of each user to application.

In the application above-mentioned steps B, can be reached according to customer attribute information and real user behavior (i.e. operation information) To the essential requirement by the real behavior data convert user of user, generate and be suitable for answering for each user's use habit Purpose with recommendation list.

Step B1, based on operation information, calculates the score of each the first son application.

Wherein, operation information can include operation behavior information, the operation behavior information include following one or more Combination：Last time use time, number of clicks and payment times.For example, the sequence of App neutron applications is applied Number of times, the number of times for clicking on application of purchasing the air ticket and the last time that device can be purchased the air ticket to user A is using purchase The time of air ticket application is recorded.

Step B2, based on customer attribute information, calculates the score of each the first son application.

Wherein, customer attribute information can serve to indicate that the feature of user, the customer attribute information including but not limited to The lower combination of one or more：Occupation, age, sex, consumption type and consumption degree.Wherein, occupation, the age, Sex, consumption type and consumption degree are input into when can register logon account according to user on the first application App Speculated obtained from information, or by the operation information of user and obtained, for example, if user A often buys machine Ticket and position is often changed, then the occupation that can deduce user A is probably businessperson, and for example, if user B often buys women's dress, then the sex that can deduce user B is probably Ms.

Step B3, the score that is applied based on each are ranked up to each the first son application.

Wherein, the application is adopted based on RFM, and superposition customer attribute information is used with application matching degree mode, structure Personalization preferences model of the family to application.Wherein, R represents that user clicks on the last time time of certain application, and F represents use The number of times (i.e. number of clicks) of the application is clicked at family in the first preset time period, and M represents user in the first Preset Time Payment times in section, the first preset time period can be preset as needed.Its Computing Principle is by each User applies last time use time, number of clicks, payment times in the first preset time period to count each Come, then normalized in respective dimension, in conjunction with the weighted value of 3 factors, calculate each user and each is applied Preference score value, fraction is higher to represent that the probability that is used by a user of application is higher.And customer attribute information is mated with application Degree, refers to the occupation of user itself, trip, using features such as scenes, as application potential user's recommendation foundation, if The feature of user meets application feature database, then the user is just added to the score value of the application.

Step C, Part III (priority is minimum)：The sequence of the 4th son application.

In above-mentioned steps C, based on popular use habit, the sequence of the application App neutron applications of the embodiment of the present invention Method can need to be arranged in the 4th son before each the first son application, after application recommendation list is generated, to obtain Application.

Step D, generates application recommendation list.

It should be noted that the priority of final first application App homepage applications can be：User is actively arranged>Strategy Fixed bit (i.e. above-mentioned Part I)>Intelligent sequencing (i.e. above-mentioned Part II) based on user behavior and feature>Acquiescence List ordering (i.e. above-mentioned Part III), and then the application recommendation list of the personalization for being suitable for user is generated according to priority.

The sort method of application App neutron applications provided in an embodiment of the present invention, the sequence of application are first to gather user The use time of last time, number of clicks, the real user behavior of 3 dimensions of payment times, build RFM models, The true use habit that original subscriber applies is gone back to each, and provide the use score of each application；Again based on user's Customer attribute information, such as occupation, age-sex, trip and consumption online feature etc., with the application feature for pre-building Storehouse is mated, and gives adaptable reserved portion；For each user, above two score is added, and obtains final Score, and sort according to score size, obtain the individualized section application sequence for adapting to user's use habit.And adopt The mode merged with " specifying the fixed position+individualized section application sequence+default sort of application " more rules priority, Application is carried out to user to recommend while application recommendation list can be generated.And this application recommendation list, system can preserve Beyond the clouds, after version change, the application sequence of user will not change with version updating, reduce user each The worry of conventional application is found again.That is, the sort method of the application App neutron applications of the embodiment of the present invention is obtained The application recommendation list for going out, can respect fully user's custom, reduce user and find conventional application path, so as to optimize Consumer's Experience.

In embodiments of the present invention, apply App's using the customer attribute information and first for obtaining the first application App The operation information of each first son application of the user in the first preset time period, wherein, customer attribute information is used for referring to Show that the information of the feature of user, operation information include the user of the first application App in each the first son application Operation behavior information；According to operation behavior information, the weight of operation behavior information and customer attribute information, count respectively Calculate the recommendation degree score for obtaining each the first son application；According to the recommendation degree score of each the first son application, should to first The mode for recommending the first son application with App, by the operation information meter according to attribute information and each the first son application The recommendation degree score for obtaining each the first son application is calculated, the sheet of the real behavior data convert user by user has been reached Matter demand, is suitable for the purpose of the application of each user's use habit to user's recommendation, it is achieved thereby that it is soft to increase application The adaptive technique effect of part, and then prior art is solved using during application software, user after version updating It is difficult to find the first son application that is conventional or thinking, the technical problem for causing application software adaptability poor.

It should be noted that for aforesaid each method embodiment, in order to be briefly described, therefore which is all expressed as one it is The combination of actions of row, but those skilled in the art should know, and the present invention is not limited by described sequence of movement System, because according to the present invention, some steps can be carried out using other orders or simultaneously.Secondly, art technology Personnel should also know that embodiment described in this description belongs to preferred embodiment, involved action and module Not necessarily the present invention is necessary.

Through the above description of the embodiments, those skilled in the art is can be understood that according to above-mentioned enforcement The method of example can add the mode of required general hardware platform by software to realize, naturally it is also possible to by hardware, but The former is more preferably embodiment in many cases.Be based on such understanding, technical scheme substantially or Say that the part contributed by prior art can be embodied in the form of software product, the computer software product is deposited Storage is used so that a station terminal including some instructions in a storage medium (such as ROM/RAM, magnetic disc, CD) Equipment (can be mobile phone, computer, server, or network equipment etc.) is executed described in each embodiment of the invention Method.

Embodiment 2

According to embodiments of the present invention, a kind of device embodiment for implementing said method embodiment, this Shen are additionally provided Please the device that provided of above-described embodiment can run on computer terminals.

Fig. 6 is the structural representation of the collator of the application App neutron applications according to the embodiment of the present application two.

As shown in fig. 6, the collator of application App neutron applications can include first acquisition unit 602, process Unit 604 and sequencing unit 606.

Wherein, first acquisition unit 602, for obtaining the customer attribute information using the first application App, wherein, The customer attribute information is used for the information of the feature of instruction user, and the first application App includes multiple first sons Application；Processing unit 604, for the application spy for pre-building the customer attribute information with each the first son application Levy storehouse to be mated；Sequencing unit 606, for the matching result according to the customer attribute information and application feature database, Each the first son application described is ranked up.

From the foregoing, it will be observed that the scheme provided by the above embodiments of the present application two, by customer attribute information and application feature database Matching result, to described each first son application be ranked up, reached the real behavior data convert by user The essential requirement of user, and then the purpose of the application that can recommend to be suitable for each user's use habit to user, so as to Achieve the increase adaptive technique effect of application software, and then prior art is solved using during application software, After version updating, user is difficult to find the first son application that is conventional or thinking, the technology for causing application software adaptability poor Problem.

Herein it should be noted that above-mentioned first acquisition unit 602, processing unit 604 and sequencing unit 606 pairs Step S202 that should be in embodiment one to step S204, example that three modules are realized with corresponding step and should Identical with scene, but it is not limited to one disclosure of that of above-described embodiment.It should be noted that above-mentioned module is used as dress The part that puts is may operate in the terminal 10 of the offer of embodiment one, can be realized by software, it is also possible to Realized by hardware.

Alternatively, processing unit 604 is used for executing following steps by the customer attribute information and each the first son application The application feature database for pre-building is mated：The customer attribute information is calculated respectively with each the first son application in advance The information similarity of the application feature database of foundation, described information similarity are that the customer attribute information is special with each application Levy the matching result in storehouse.

Alternatively, described device also includes：Second acquisition unit, exists for obtaining the user of the first application App The operation information of each the first son application in the first preset time period, wherein, the operation information includes described first Operation behavior information of the user of application App in each the first son application.

Alternatively, processing unit 604 is used for executing following steps by the customer attribute information and each the first son application The application feature database for pre-building is mated：According to the operation behavior information, the weight of the operation behavior information And the customer attribute information, it is calculated the recommendation degree score of each the first son application respectively.

Alternatively, 606 sequencing unit of the sequencing unit be used for execute following steps according to the customer attribute information with The matching result of application feature database, is ranked up to each the first son application described：According to each the first son application described Recommendation degree score, to described each first son application be ranked up；

Wherein, as shown in fig. 7, described device also includes：

Recommendation unit 702, recommends the first application App, wherein N for coming top n the first son application For presetting positive integer；Or, first son application of the recommendation degree score more than predetermined threshold value is recommended described first Application App.

Alternatively, as shown in figure 8, the processing unit 604 can include that the first computing module 802, second is calculated Module 804 and the 3rd computing module 806.

Wherein, the first computing module 802, for according to the operation behavior information and the operation behavior information Weight, calculates the first score value of each the first son application；Second computing module 804, for belonging to the user Property information mated with the application feature database for pre-building, calculate second score value of each the first son application；The Three computing modules 806, for asking with second score value to first score value of each the first son application With obtain each corresponding score value of the first son application described.

Herein it should be noted that above-mentioned first computing module 802, the second computing module 804 and the 3rd calculate mould Block 806 corresponding to step S3022 in embodiment one to step S3026, realized with corresponding step by three modules Example identical with application scenarios, but be not limited to one disclosure of that of above-described embodiment.It should be noted that above-mentioned Module is may operate in the terminal 10 of the offer of embodiment one as a part for device, can pass through software reality Existing, it is also possible to be realized by hardware.

Alternatively, first computing module 802 is used for executing following steps according to the operation behavior information and institute The weight of operation behavior information is stated, the first score value of each the first son application is calculated：To the operation behavior information It is normalized；By formulaFirst score value of each the first son application is calculated, Wherein, S1 represents first score value, Y_iRepresent that the operation behavior information after normalization, n represent the operation row For the number of information, X_iRepresent the weight of the operation behavior information.

Alternatively, the operation behavior information includes the following combination of one or more：Last time use time, point Hit number of times and payment times.

Alternatively, in the case where the operation behavior information includes the last time use time, first meter Calculating module 802 includes：First sub-acquisition module, for obtaining in the advance user behavior sample set for gathering corresponding to institute State maximum and the minima of last time use time；First sub- computing module, for passing through formula Y₁=(R-R_max) /(R_max-R_min) calculate the last time use time after normalization, wherein, Y₁After representing the normalization The last time use time, R represents the last time use time, R_maxRepresent corresponding to described last The maximum of first use time, R_minRepresent the minima corresponding to the last time use time.

Alternatively, in the case where the operation behavior information includes the number of clicks, first computing module 802 Including：Second sub-acquisition module, for obtaining in the user behavior sample set of the advance collection corresponding to the click The maximum of number of times and minima；Second sub- computing module, for passing through formula Y₂=(F-F_min)/(F_max-F_min) Calculate the number of clicks after normalization, wherein, Y₂Represent that the number of clicks after the normalization, F are represented The number of clicks, F_maxRepresent the maximum corresponding to the number of clicks, F_minRepresent corresponding to the click time Several minima；

Alternatively, in the case where the operation behavior information includes the payment times, first computing module 802 Including：3rd sub-acquisition module, for obtaining in the user behavior sample set of the advance collection corresponding to the payment The maximum of number of times and minima；3rd sub- computing module, for passing through formula Y₃=(M-M_min)/(M_max-M_min) Calculate the payment times after normalization, wherein, Y₃Represent that the payment times after the normalization, F are represented The payment times, M_maxRepresent the maximum corresponding to the payment times, M_minRepresent corresponding to the payment The minima of number of times.

Alternatively, as shown in figure 9, second computing module 804 can include matched sub-block 902, assignment Module 904 and calculating sub module 906.

Wherein, matched sub-block 902, are belonged to the user for searching in the application feature database for pre-building The application of property information match；Assignment submodule 904, for described match with the customer attribute information should With imparting preset fraction；Calculating sub module 906, should for according to the preset fraction, calculating each first son described Second score value.

Herein it should be noted that above-mentioned matched sub-block 902, assignment submodule 904 and calculating sub module 906 The example that is realized to step S24, the module with corresponding step corresponding to step S20 in embodiment one and application Scene is identical, but is not limited to one disclosure of that of above-described embodiment.It should be noted that above-mentioned module is used as device A part may operate in the terminal 10 of the offer of embodiment one, can be realized by software, it is also possible to logical Cross hardware realization.

Alternatively, as shown in Figure 10, described device can also include：Determining unit 1002 and assignment unit 1004.

Wherein it is determined that unit 1002, for determining that the first application App does not generate institute in the first preset time period Stating operation information and described first applies the second son that App generates the operation information in the second preset time period to answer With；Assignment unit 1004, for giving default score value to the described second son application；Wherein, the sequencing unit 606 For executing recommendation degree score of the following steps according to each the first son application, recommend to the described first application App The first son application：According to score value order from big to small, first son is recommended to answer to the described first application App With and described second son application.

Herein it should be noted that above-mentioned determining unit 1002 and assignment unit 1004 are corresponding to the step in embodiment one , to step S404, the module is identical with example and application scenarios that corresponding step is realized, but is not limited to for rapid S402 One disclosure of that of above-described embodiment.It should be noted that above-mentioned module is may operate in as a part for device In the terminal 10 that embodiment one is provided, can be realized by software, it is also possible to realized by hardware.

Alternatively, as shown in figure 11, described device can also include：3rd acquiring unit 1102.

Wherein, the 3rd acquiring unit 1102, for obtaining the 3rd son that need to be arranged in before each the first son application described Application；Wherein, the recommendation unit 606 is used for executing recommendation degree of the following steps according to each the first son application Score, recommends the first son application to the described first application App：To the described 3rd son application and described each the With the described 3rd son application identical application during one son application is ranked up, and each first son is applied described in deleting；To The first application App recommends the 3rd son application and each the first son application described, wherein, each first son described Do not include in application and the described 3rd son application identical application.

Herein it should be noted that above-mentioned 3rd acquiring unit 1102 is corresponding to step S30 in embodiment one, the mould Block is identical with example and application scenarios that corresponding step is realized, but is not limited to one disclosure of that of above-described embodiment. It should be noted that above-mentioned module may operate in the terminal 10 that embodiment one is provided as a part for device In, can be realized by software, it is also possible to realized by hardware.

Alternatively, as shown in figure 12, described device can also include：4th acquiring unit 1202.

Wherein, the 4th acquiring unit 1202, for obtaining the 4th son that need to be arranged in after each first son described is applied Application；Wherein, the sequencing unit 606 is used for executing recommendation degree of the following steps according to each the first son application Score, recommends the first son application to the described first application App：To the described 4th son application and described each the One son application be ranked up, and delete described 4th son application in described each first son application identical application；To The first application App recommends the 4th son application and each the first son application described, wherein, the 4th son application In not comprising and described each first son application identical application.

Herein it should be noted that above-mentioned 4th acquiring unit 1202 is corresponding to step S40 in embodiment one, the mould Block is identical with example and application scenarios that corresponding step is realized, but is not limited to one disclosure of that of above-described embodiment. It should be noted that above-mentioned module may operate in the terminal 10 that embodiment one is provided as a part for device In, can be realized by software, it is also possible to realized by hardware.

Alternatively, the customer attribute information includes the following combination of one or more：Occupation, age, sex, disappear Take type and consumption degree.

Embodiment 3

Embodiments of the invention additionally provide a kind of storage medium.Alternatively, in the present embodiment, above-mentioned storage medium Can be used for preserving the program code performed by the sort method of the application App neutron applications provided by above-described embodiment one.

Alternatively, in the present embodiment, above-mentioned storage medium is may be located in computer network Computer terminal group In any one terminal, or in any one mobile terminal in mobile terminal group.

Alternatively, in the present embodiment, storage medium is arranged to store the program code for being used for executing following steps： The customer attribute information using the first application App is obtained, wherein, the customer attribute information is used for the spy of instruction user The information that levies, the first application App include multiple first son applications；By the customer attribute information with each the The application feature database that one son application pre-builds is mated；According to the customer attribute information with application feature database Match somebody with somebody result, each the first son application described is ranked up.

Alternatively, storage medium is also configured to store the program code for being used for executing following steps：Calculate respectively described The information similarity of the application feature database that customer attribute information is pre-build with each the first son application, described information are similar Spend the matching result with each application feature database for the customer attribute information.

Alternatively, storage medium is also configured to store the program code for being used for executing following steps：Obtain described first The operation information of each first son application of the user of application App in the first preset time period, wherein, the operation Information includes operation behavior information of the user of the first application App in each the first son application.

Alternatively, storage medium is also configured to store the program code for being used for executing following steps：According to the operation Behavioural information, the weight of the operation behavior information and the customer attribute information, be calculated respectively each first The recommendation degree score of son application.

Alternatively, storage medium is also configured to store the program code for being used for executing following steps：According to described each The recommendation degree score of the first son application, is ranked up to each the first son application described；According to each first son described The recommendation degree score of application, after being ranked up to each the first son application described, methods described also includes：To come The first application App is recommended in top n the first son application, and wherein N is default positive integer；Or, push away described Degree of recommending score recommends the first application App more than the first son application of predetermined threshold value.

Alternatively, storage medium is also configured to store the program code for being used for executing following steps：According to the operation Behavioural information and the weight of the operation behavior information, calculate the first score value of each the first son application；By institute State customer attribute information and mated with the application feature database for pre-building, calculate the second of each the first son application Score value；First score value of each the first son application is sued for peace with second score value, is obtained described each Individual first son applies the score value of corresponding recommendation degree score.

Alternatively, storage medium is also configured to store the program code for being used for executing following steps：The operation is gone It is normalized for information；By formulaCalculate described the first of each the first son application Score value, wherein, S1 represents first score value, Y_iRepresent that the operation behavior information after normalization, n represent described The number of operation behavior information, X_iRepresent the weight of the operation behavior information.

Alternatively, storage medium is also configured to store the program code for being used for executing following steps：In the operation row In the case of including the last time use time for information, described place is normalized to the operation behavior information Reason, including：Obtain the maximum corresponding to the last time use time in the user behavior sample set of collection in advance And minima；By formula Y₁=(R-R_max)/(R_max-R_min) calculate the last time use after normalization Time, wherein, Y₁Represent that the last time use time after the normalization, R represent that the last time makes With time, R_maxRepresent the maximum corresponding to the last time use time, R_minRepresent corresponding to described last The minima of first use time；In the case where the operation behavior information includes the number of clicks, described to institute State operation behavior information to be normalized, including：Obtain corresponding in the user behavior sample set of the advance collection Maximum and minima in the number of clicks；By formula Y₂=(F-F_min)/(F_max-F_min) calculate normalizing The number of clicks after change, wherein, Y₂Represent that the number of clicks after the normalization, F represent the click Number of times, F_maxRepresent the maximum corresponding to the number of clicks, F_minRepresent the minimum corresponding to the number of clicks Value；In the case where the operation behavior information includes the payment times, described the operation behavior information is carried out Normalized, including：Obtain in the user behavior sample set of the advance collection and correspond to the payment times most Big value and minima；By formula Y₃=(M-M_min)/(M_max-M_min) calculate the payment time after normalization Number, wherein, Y₃Represent that the payment times after the normalization, F represent the payment times, M_maxIt is right to represent The maximum of payment times described in Ying Yu, M_minRepresent the minima corresponding to the payment times.

Alternatively, storage medium is also configured to store the program code for being used for executing following steps：Built described in advance Search, in vertical application feature database, the application matched with the customer attribute information；Believe with the user property to described The application of manner of breathing coupling gives preset fraction；According to the preset fraction, the described of each the first son application is calculated Second score value.

Alternatively, storage medium is also configured to store the program code for being used for executing following steps：Determine described first Application App does not generate the operation information in the first preset time period and the first application App is default second The second son application of the operation information is generated in time period；Default score value is given to the described second son application；Wherein, The recommendation degree score of each the first son application described in the basis, should to the described first application App recommendations first son With, including：According to score value order from big to small, to the described first application App recommend first son application and The second son application.

Alternatively, storage medium is also configured to store the program code for being used for executing following steps：Obtain and need to be arranged in The 3rd son application before each the first son application described；Wherein, the recommendation of each the first son application described in the basis Degree score, recommends the first son application to the described first application App, including：To the described 3rd son application and institute State each the first son application to be ranked up, and delete in each the first son application described with the described 3rd son application identical Application；Recommend the 3rd son application and each the first son application described to the described first application App, wherein, described each Do not include in individual first son application and the described 3rd son application identical application.

Alternatively, storage medium is also configured to store the program code for being used for executing following steps：Obtain and need to be arranged in The 4th son application after each the first son application described；Wherein, the recommendation of each the first son application described in the basis Degree score, recommends the first son application to the described first application App, including：To the described 4th son application and institute State each first son application be ranked up, and delete described 4th son application in described each first son application identical Application；Recommend the 4th son application and each the first son application described, wherein, described the to the described first application App Do not include in four son applications and each the first son application identical application described.

Alternatively, in the present embodiment, above-mentioned storage medium can be included but is not limited to：USB flash disk, read only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), portable hard drive, magnetic Dish or CD etc. are various can be with the medium of store program codes.

Alternatively, the specific example in the present embodiment may be referred to the example described in above-described embodiment 1, this enforcement Example will not be described here.

The embodiments of the present invention are for illustration only, do not represent the quality of embodiment.

In the above embodiment of the present invention, the description of each embodiment is all emphasized particularly on different fields, do not had in certain embodiment The part of detailed description, may refer to the associated description of other embodiment.

In several embodiments provided herein, it should be understood that disclosed technology contents, other can be passed through Mode realize.Wherein, device embodiment described above is only the schematically division of for example described unit, It is only a kind of division of logic function, when actually realizing, can has other dividing mode, for example multiple units or component Can in conjunction with or be desirably integrated into another system, or some features can be ignored, or not execute.Another, institute The coupling each other for showing or discussing or direct-coupling or communication connection can be by some interfaces, unit or mould The INDIRECT COUPLING of block or communication connection, can be electrical or other forms.

The unit that illustrates as separating component can be or may not be physically separate, aobvious as unit The part for showing can be or may not be physical location, you can be located at a place, or can also be distributed to On multiple NEs.Some or all of unit therein can be selected according to the actual needs to realize the present embodiment The purpose of scheme.

In addition, each functional unit in each embodiment of the invention can be integrated in a processing unit, it is also possible to It is that unit is individually physically present, it is also possible to which two or more units are integrated in a unit.Above-mentioned integrated Unit both can be realized in the form of hardware, it would however also be possible to employ the form of SFU software functional unit is realized.

If the integrated unit realized using in the form of SFU software functional unit and as independent production marketing or use when, Can be stored in a computer read/write memory medium.It is based on such understanding, technical scheme essence On all or part of part that in other words prior art is contributed or the technical scheme can be with software product Form is embodied, and the computer software product is stored in a storage medium, is used so that one including some instructions Platform computer equipment (can be personal computer, server or network equipment etc.) executes each embodiment institute of the invention State all or part of step of method.And aforesaid storage medium includes：USB flash disk, read only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), portable hard drive, magnetic disc or CD Etc. various can be with the medium of store program codes.

The above is only the preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art For member, under the premise without departing from the principles of the invention, some improvements and modifications can also be made, these improve and moisten Decorations also should be regarded as protection scope of the present invention.

Claims

1. a kind of sort method of application App neutron applications, it is characterised in that include：

The customer attribute information using the first application App is obtained, wherein, the customer attribute information is used for indicating The information of the feature of user, the first application App include multiple first son applications；

The application feature database that the customer attribute information is pre-build with each the first son application is mated；

According to the customer attribute information with application feature database matching result, each first son described is applied into Row sequence.

2. method according to claim 1, it is characterised in that described by the customer attribute information with each first The application feature database that son application pre-builds carries out coupling to be included：

The information of application feature database that the customer attribute information with each first son application pre-build is calculated respectively Similarity, described information similarity are the matching result of the customer attribute information and each application feature database.

3. method according to claim 1, it is characterised in that described by the customer attribute information with each the Before the application feature database that one son application pre-builds is mated, methods described also includes：

Obtain the operation of each first son application of the user of the first application App in the first preset time period Information, wherein, the operation information includes the user of the first application App in each the first son application Operation behavior information.

4. method according to claim 3, it is characterised in that described by the customer attribute information with each first The application feature database that son application pre-builds carries out coupling to be included：

According to the operation behavior information, the weight of the operation behavior information and the customer attribute information, The recommendation degree score of each first son application is calculated respectively.

5. method according to claim 4, it is characterised in that described special with application according to the customer attribute information The matching result in storehouse is levied, each the first son application described is ranked up, including：

According to the recommendation degree score of each the first son application, each the first son application described is ranked up；

In the recommendation degree score according to each the first son application, each the first son application described is ranked up Afterwards, methods described also includes：

Top n the first son application will be come and recommend the first application App, wherein N will be default positive integer； Or, the first application App is recommended in first son application of the recommendation degree score more than predetermined threshold value.

6. method according to claim 4, it is characterised in that described according to the operation behavior information, the behaviour Make the weight of behavioural information and the customer attribute information, be calculated the recommendation of each the first son application respectively Degree score, including：

According to the operation behavior information and the weight of the operation behavior information, each first son described is calculated First score value of application；

The customer attribute information is mated with the application feature database for pre-building, calculate described each first Second score value of son application；

First score value of each the first son application is sued for peace with second score value, is obtained described The score value of each corresponding recommendation degree score of the first son application.

7. method according to claim 6, it is characterised in that the operation behavior information includes following a kind of or several The combination that plants：Last time use time, number of clicks and payment times.

8. method according to claim 6, it is characterised in that described by the customer attribute information with pre-build Application feature database mated, calculate second score value of each the first son application, including：

The application matched with the customer attribute information is searched in the application feature database for pre-building；

Preset fraction is given to described with the application that the customer attribute information matches；

According to the preset fraction, second score value of each the first son application is calculated.

9. method according to claim 5, it is characterised in that top n the first son application will be come recommend described Before to the described first application App, methods described also includes：

Determine that the first application App does not generate the operation information and described the in the first preset time period One application App generates the second son application of the operation information in the second preset time period；

Default score value is given to the described second son application；

Wherein, the recommendation degree score of each the first son application described in the basis, pushes away to the described first application App The first son application is recommended, including：

According to score value order from big to small, recommend first son application and institute to the described first application App State the second son application.

10. method according to claim 4, it is characterised in that in the recommendation degree according to each the first son application Score, before recommending the first son application to the described first application App, methods described also includes：

Obtain the 3rd son application that need to be arranged in before each the first son application described；

Described 3rd son application and each the first son application described are ranked up, and delete described each first With the described 3rd son application identical application in son application；

Recommend the 3rd son application and each the first son application described to the described first application App, wherein, described Do not include in each the first son application and the described 3rd son application identical application.

11. methods according to claim 4, it is characterised in that in the recommendation degree according to each the first son application Score, before recommending the first son application to the described first application App, methods described also includes：

Obtain the 4th son application that need to be arranged in after each first son described is applied；

Described 4th sub- application and each the first son application described are ranked up, and delete the 4th son and answered With each the first son application identical application described with；

Recommend the 4th son application and each the first son application described to the described first application App, wherein, described Do not include in 4th son application and each the first son application identical application described.

12. methods according to any one of claim 1 to 11, it is characterised in that the customer attribute information includes The combination of one or more below：Occupation, age, sex, consumption type and consumption degree.

13. a kind of collators of application App neutron applications, it is characterised in that include：

First acquisition unit, for obtaining the customer attribute information using the first application App, wherein, the use Family attribute information is used for the information of the feature of instruction user, and the first application App includes that multiple first sons should With；

Processing unit, for the application feature for pre-building the customer attribute information with each the first son application Mated in storehouse；

Sequencing unit, for according to the customer attribute information and the matching result for applying feature database, to described each Individual first son application is ranked up.

14. devices according to claim 13, it is characterised in that the processing unit is used for executing following steps by institute Stating customer attribute information applies the application feature database for pre-building to be mated with each first son：

15. devices according to claim 13, it is characterised in that also include：

Second acquisition unit, the user for obtaining the first application App are each in the first preset time period The operation information of individual first son application, wherein, the operation information includes that the user of the first application App exists Operation behavior information in each the first son application.

16. devices according to claim 15, it is characterised in that the processing unit is used for executing following steps by institute Stating customer attribute information applies the application feature database for pre-building to be mated with each first son：

17. devices according to claim 16, it is characterised in that the sequencing unit be used for execute following steps according to The customer attribute information and the matching result of application feature database, are ranked up to each the first son application described：

Wherein, described device also includes：

Recommendation unit, recommends the first application App, wherein N for coming top n the first son application For presetting positive integer；Or, the recommendation degree score is recommended more than the first of predetermined threshold value the sub- application described First application App.

18. devices according to claim 16, it is characterised in that the processing unit includes：

First computing module, for the weight according to the operation behavior information and the operation behavior information, Calculate the first score value of each the first son application；

Second computing module, for the customer attribute information is mated with the application feature database for pre-building, Calculate the second score value of each the first son application；

3rd computing module, for first score value and second score value to each the first son application Sued for peace, obtained each corresponding score value of the first son application described.

19. devices according to claim 18, it is characterised in that the operation behavior information includes following a kind of or several The combination that plants：Last time use time, number of clicks and payment times.

20. devices according to claim 18, it is characterised in that second computing module includes：

Matched sub-block, for searching and the customer attribute information in the application feature database for pre-building The application for matching；

Assignment submodule, for giving preset fraction to described with the application that the customer attribute information matches；

Calculating sub module, for according to the preset fraction, calculating described the second of each the first son application Score value.

21. devices according to claim 17, it is characterised in that also include：

Determining unit, for determining that the first application App does not generate the operation in the first preset time period Information and described first applies App to generate the second son application of the operation information in the second preset time period；

Assignment unit, for giving default score value to the described second son application；

Wherein, the recommendation unit is obtained according to recommendation degree of each the first son application for executing following steps Point, recommend the first son application to the described first application App：According to score value order from big to small, to institute State the first application App and recommend first son application and the second son application.

22. devices according to claim 17, it is characterised in that also include：

3rd acquiring unit, for obtaining the 3rd son application that need to be arranged in before each the first son application described；

Wherein, the recommendation unit is obtained according to recommendation degree of each the first son application for executing following steps Point, recommend the first son application to the described first application App：To the described 3rd son application and described each First son application is ranked up, and answers with the described 3rd son application identical in each the first son application described in deleting With；Recommend the 3rd son application and each the first son application described to the described first application App, wherein, described Do not include in each the first son application and the described 3rd son application identical application.

23. devices according to claim 17, it is characterised in that also include：

4th acquiring unit, for obtaining the 4th son application that need to be arranged in after each first son described is applied；

Wherein, the recommendation unit is obtained according to recommendation degree of each the first son application for executing following steps Point, recommend the first son application to the described first application App：To the described 4th son application and described each First son application be ranked up, and delete described 4th son application in described each first son application identical should With；Recommend the 4th son application and each the first son application described to the described first application App, wherein, described Do not include in 4th son application and each the first son application identical application described.

24. devices according to any one of claim 13 to 23, it is characterised in that the customer attribute information bag Include the following combination of one or more：Occupation, age, sex, consumption type and consumption degree.