CN106682056A - Method, device and system for determining correlation among different application software - Google Patents

Method, device and system for determining correlation among different application software Download PDF

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Publication number
CN106682056A
CN106682056A CN201610559788.9A CN201610559788A CN106682056A CN 106682056 A CN106682056 A CN 106682056A CN 201610559788 A CN201610559788 A CN 201610559788A CN 106682056 A CN106682056 A CN 106682056A
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application software
application
pair
centering
calculated
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CN201610559788.9A
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CN106682056B (en
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吴春成
邱泰生
周远远
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Tencent Technology Shenzhen Co Ltd
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Tencent Technology Shenzhen Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/951Indexing; Web crawling techniques

Abstract

An embodiment of the invention discloses a method, a device and a system for determining correlation among different application software. The method includes: acquiring an application software using list of multiple users; determining multiple application software pairs; for each application software pair, determining coexistence user number of the application software pair from the users according to the acquired application software using list and respective user number of two application software in the application software pair, and then calculating to acquire a correlation characteristic index between the two application software in the application software pair. By the technical scheme, correlation among the application software can be found out objectively and accurately, and the correlation can be quantified.

Description

Determination method, the apparatus and system of mutual relation between different application software
Technical field
The application is related to Internet technical field, the determination side of mutual relation between particularly a kind of different application software Method, apparatus and system.
Background technology
With the popularization of intelligent terminal, for the application software used on intelligent terminal, intelligent handss are such as arranged on Application software (APP, Application Program) on machine, species also increasingly enrich.Can between different application software With certain mutual relation, for example, promote relation and competitive relation.By taking APP as an example, if APP1 is promotion relation to APP2, Then mean to have used the user of APP1 can also be inclined to use APP2;If APP1 is competitive relation to APP2, mean to make With the user of APP1, it is intended to do not go to use APP2.
There is the mutual relation between different application software, the application that can be used for recalling correlation in commending system is soft Part, to improve the recommendation efficiency of commending system.For example, by taking mobile phone house keeper as an example, in the APP software electricals market of mobile phone house keeper In, to user favorite top n APP of the user can be recommended to show position, but for the APP of magnanimity cannot generally know the use Fancy grade of the family to all APP, can only know fancy grade of the user to some APP, at this moment just can be liked using user The mutual relation of good APP and other APP is finally obtained to each APP judging fancy grade of the user to other APP Hobby value, just can determine that top n APP by being ranked up, i.e., from several APP of user preferences recall that it likes it is multiple APP.Such as, if knowing, a user likes value very high to ' Baidu's take-away ', and ' Baidu's take-away ' and ' being hungry ' it is mutual Promotion relation is obvious, it can be considered that the user also can be higher to the hobby value being hungry.
Additionally, there is the mutual relation between different application software, can be being associated APP in advertisement delivery system Throw in, to improve the input efficiency of advertisement delivery system.For example, for above example, if to throw in ' Baidu's take-away ' Advertisement, then can select to install or used the user of ' being hungry ' to be thrown in.
In addition, there is the mutual relation between different application software, can also aid in carrying out competing product discovery, for company Reference when layer decision-making level cooperates with other companies is used, and improves the efficiency of decision-making.
In order to determine the mutual relation between two APP, the at present typically simple registration from two APP functionally Or classification situation is judged.For example, an example after being judged according to this determination methods is:Alipay and Taobao To promote relation, Taobao and Jingdone district are competitive relation, and mobile phone house keeper and 360 security guards are competitive relation etc..
But in fact, the Taobao and Jingdone district in above-mentioned example is not above-mentioned competitive relation, the use of Taobao is usually used Family can also use Jingdone district.Therefore, the APP that single function or classifieds website (such as pea pods or reference treasured) from APP is given divides If category information is judged, accuracy cannot ensure;In addition, the judged result also can not quantify, that is, promote or compete to arrive There are much degree at bottom, unknown.
The content of the invention
In view of this, on the one hand a kind of determination side of mutual relation between different application software is provided in the embodiment of the present invention Method, on the other hand provides the determining device and system of mutual relation between a kind of different application software, objectively and accurately to look for The mutual relation gone out between application software, and this relation can be quantified.
The determination method of mutual relation between a kind of different application software provided in the embodiment of the present invention, including:
The application software for obtaining M user uses list;M is the positive integer more than or equal to 2;Determine N number of application software It is right;N is the positive integer more than or equal to 1;For each application software pair, list is used according to acquired application software, from Determine the concurrent users number of the application software pair in the M user, and two applications of the application software centering are soft The respective number of users of part;For each application software pair, the concurrent users number and the application according to the application software pair The respective number of users of two application softwaries of software centering, is calculated between two application softwaries of the application software centering Mutual relation characterize index.
The determining device of mutual relation between a kind of different application software provided in the embodiment of the present invention, including:List Acquisition module, the application software for obtaining M user uses list;M is the positive integer more than or equal to 2;Software pair determines Module, for determining N number of application software pair;N is the positive integer more than or equal to 1;Number of users determining module, for for each Application software pair, according to acquired application software list is used, and determines the application software to being total to from the M user Deposit number of users, and the respective number of users of two application softwaries of the application software centering;Index computing module, for being directed to Each application software pair, the concurrent users number and two applications of the application software centering according to the application software pair The respective number of users of software, is calculated the sign of the mutual relation between two application softwaries of the application software centering and refers to Mark.
The determination system of mutual relation between a kind of different application software provided in the embodiment of the present invention, including:
The determining device of mutual relation between M intelligent terminal and a kind of above-mentioned different application software;Wherein, the M Each intelligent terminal in individual intelligent terminal is used to for the application software of own user to be supplied to described device using list;M is Positive integer more than or equal to 2.
It can be seen that, in the embodiment of the present invention, list is used by obtaining the application software of multiple users, and according to acquired Application software list determines multiple application softwaries pair;For each application software pair, row are used according to acquired application software Table, determines the concurrent users number of the application software pair from the M user, and two of the application software centering should With the respective number of users of software, and then the correlation table being calculated between two application softwaries of the application software centering Levy index, it is seen then that the characteristic index have found the mutual relation between application software based on objective data, exactly, and And it is presented in the way of numerical value, the quantization to mutual relation between two application softwaries is realized so that not only can judge Mutual relation between two application softwaries is promotion relation or competitive relation, and can quantify its journey for promoting or competing Degree.
Description of the drawings
For the technical scheme in the clearer explanation embodiment of the present invention, below will be to make needed for embodiment description Accompanying drawing is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the present invention, for For those of ordinary skill in the art, on the premise of not paying creative work, can be obtaining other according to these accompanying drawings Accompanying drawing.Wherein,
Fig. 1 is the exemplary flow of a kind of determination method of mutual relation between different application software in the embodiment of the present invention Figure;
Fig. 2 is the concurrent users number of application software pair in the embodiment of the present invention, the application software of application software centering first Mutual relation schematic diagram between the number of users three of number of users and the application software of application software centering second;
The calculating knot of the mutual relation in Fig. 3 one example of the present invention between Android versions synchronization assistant and some softwares Fruit schematic diagram;
The schematic diagram of calculation result of the mutual relation dug between money and valuables and some softwares in Fig. 4 one example of the present invention;
Fig. 5 is a kind of example arrangement of the determining device of mutual relation between different application software in the embodiment of the present invention Figure;
Fig. 6 is the structural representation of comprehensive grading determining module shown in Fig. 5 in an example of the invention;
Fig. 7 is the structural representation of comprehensive grading determining module shown in Fig. 5 in another example of the invention;
Fig. 8 is a kind of structural representation of server in the embodiment of the present invention;
Fig. 9 is a kind of example arrangement of the determination system of mutual relation between different application software in the embodiment of the present invention Figure.
Specific embodiment
To make the object, technical solutions and advantages of the present invention clearer, by the following examples to of the invention further detailed Describe in detail bright.
In order to succinct and directly perceived on describing, hereafter by describing some representational embodiments come the side to the present invention Case is illustrated.Substantial amounts of details is only used for help and understands the solution of the present invention in embodiment.However, it will be apparent that the present invention Technical scheme can be not limited to these details when realizing.In order to avoid unnecessarily having obscured the solution of the present invention, some realities Apply mode meticulously not described, but only give framework.Hereinafter, " including " refer to " including but not limited to ", " root According to ... " refer to " according at least to ..., but be not limited to according only to ... ".Due to the language convention of Chinese, hereinafter without spy When not pointing out the quantity of composition, it is meant that it can also be multiple that the composition can be one, or can be regarded as at least one.
Fig. 1 is the exemplary flow of a kind of determination method of mutual relation between different application software in the embodiment of the present invention Figure.Method in the present embodiment can be applicable in server, server cluster or cloud computing service center.As shown in figure 1, should Method may include following steps:
Step 101, the application software for obtaining M user uses list.Wherein, M is the positive integer more than or equal to 2.It is real In the application of border, M can be the quantity of hundred, thousand, ten thousand ranks.
In this step, obtaining the application software of M user can have various using the mode of list.For example, can be by each The intelligent terminal of user is uploaded the application software of the user using list, then in this step, can directly receive each intelligence The application software of the user that energy terminal is uploaded uses list.Or, can also obtain from each application software server in this step The application software for taking each user uses list.Or, the application that each user of other modes acquisition is may also be employed in this step is soft Part uses list.
Wherein, application software can be the actually used application software list of user, or user's peace using list The application software list being mounted on intelligent terminal, is not limited thereof herein.
Below in case of intelligent terminal is as mobile phone terminal, it is assumed that the application software (APP) of reporting of user uses row Table has used daily those softwares for user, and data are as follows:
Form:User 1 (IMEI1), APP1, APP2, APP3...
User 2 (IMEI1), APP1, APP4...
User 3 (IMEI1), APP2, APP3, APP4, APP5...
Wherein, the explanation in wikipedia, IMEI (International Mobile Equipment Identity be) international mobile equipment identification number, i.e., usually said handset serial, mobile phone " string number ", in mobile electricity The mobile communication devices such as each independent mobile phone are recognized in telephone network.
Step 102, determines N number of application software pair.Wherein, N is the positive integer more than or equal to 1.
In this step, determining the mode of N number of application software pair can have various.For example, can according to user's request or its He is tactful, predefines application software pair to be measured.Or, it is also possible to all application softwaries acquired in step 101 are made Matched two-by-two with the application software in list, obtained each application software pair.Or, can also be according in step 101 Acquired application software uses list, it is determined that meeting N number of application software pair of setting demand.In this step, if predefining If application software pair to be measured, then without absolute precedence relationship between step 101 and step 102, step can be first carried out 102 execution step 101 again, or two steps perform simultaneously.Determine if application software pair according to two ways below, Then first carry out step 101 execution step 102 again.
Below still by taking above-mentioned mobile phone terminal as an example, if determining application software pair using the above-mentioned second way, i.e., All application softwaries acquired in step 101 are matched two-by-two using the application software in list, each application is obtained , then for three application softwaries APP1, APP2, APP3 of user 1 (IMEI1), then there is software pair in software pair:(APP1、 APP2)、(APP2、APP3)、(APP1、APP3)。
Step 103, for each application software pair, according to acquired application software list is used, from the M user The middle concurrent users number for determining the application software pair, and the respective user of two application softwaries of the application software centering Number.
Wherein, the concurrent users number that the application software pair is determined from the M user is referred to from the M user The middle number of users for determining two application softwaries for having used the application software centering simultaneously, obtains the application software to being total to Deposit number of users.
It is assumed that two application softwaries of the application software centering are respectively the first application software and the second application software, then The respective number of users of two application softwaries of the application software centering has referred to used in M user the application software pair In the first application software number of users and M user used in the user of the second application software of the application software centering Number.
Fig. 2 shows the concurrent users number of application software pair, the number of users of the application software of application software centering first and answers With the mutual relation between the number of users three of the application software of software centering second.As illustrated in fig. 2, it is assumed that 201 corresponding ellipses Region is the number of users A of the first application software of the application software centering, and 202 corresponding elliptic regions are the application software The number of users B of the second application software of centering, then 203 corresponding intersection areas are the concurrent users number A of the application software pair ∩B。
Step 104, for each application software pair, according to the concurrent users number of the application software pair and it is described should With the respective number of users of two application softwaries of software centering, be calculated the application software centering two application softwaries it Between mutual relation characterize index.
In this step, the index that can characterize the mutual relation between two application softwaries of the application software centering can It is various to have.
For example, three characteristic indexs in an embodiment are shown below is, in practical application, can therefrom selects to appoint Meaning one or combination in any representing the mutual relation between the first application software and the second application software, or, it is also possible to select The index of the mutual relation between two application softwaries that other can characterize the application software centering is selected, it is not entered herein Row is limited.
1) Jie Kade (Jacard) similarity, it can be calculated according to equation below (1):
J (A, B)=(A ∩ B)/(A ∪ B) (1)
Wherein, A is the number of users of the first application software, and B is the number of users of the second application software, and A ∩ B are by the first application The concurrent users number of the application software pair that software and the second application software are constituted, A ∪ B are that the number of users A of the first application software adds The sum of the number of users B of the second application software, then deduct the application software pair that the first application software and the second application software are constituted Concurrent users number A ∩ B, i.e. A ∪ B=A+B- (A ∩ B).J (A, B) is Jie Kade similarities, and the value of J (A, B) shows more greatly described Promotion degree between first application software and the second application software is bigger;Value is less, represents that competition is fiercer.
2) cosine (Cosine) similarity, it can be calculated according to equation below (2):
Wherein, A is the number of users of the first application software, and B is the number of users of the second application software, and A ∩ B are by the first application The concurrent users number of the application software pair that software and the second application software are constituted, C (A, B) is cosine similarity, the value of C (A, B) Show that the promotion degree between first application software and the second application software is bigger more greatly;Value is less, represents that competition is more sharp It is strong.
The derivation of above-mentioned formula (2) is as follows:
The number of users for assuming the first application software is A, and corresponding vector is:Second should It is B with the number of users of software, corresponding vector is:Wherein, 1 expression is used, and 0 expression does not make With.
Then have:
3) lifting degree (Lift) is coexisted, it can be calculated according to equation below (3):
L (A, B)=((A ∩ B)/B)/(A/M) (3)
Wherein, A is the number of users of the first application software, and B is the number of users of the second application software, and A ∩ B are by the first application The concurrent users number of the application software pair that software and the second application software are constituted, M is total number of users, and L (A, B) is that lifting coexists Degree, wherein, if Lift values are more than 1, illustrate probability appearance (in i.e. M user) in deep bid higher than A that A occurs in B Probability, illustrates that A and B are promotion relations, counter to know less than 1 expression competitive relation, and the side promoted with competitive relation is represented equal to 1 Boundary.Its value is bigger, illustrates that the promotion degree between the first application software and the second application software is bigger;Value is less, represents competition It is fiercer.
Additionally, in another embodiment, for two application softwaries of an application software centering, can also be first Any two in above three characteristic index or three are calculated, and as intermediate parameters, afterwards further according to being calculated The intermediate parameters, the mutual relation comprehensive grading being calculated between two application softwaries of the application software centering Value.The process implements process and can also have various ways.
For example, the first:The weight of respectively calculated each setting of intermediate parameters distribution one;According in the middle of each Calculated all intermediate parameters are weighted by the weight of parameter, and obtain the application software centering two should With the mutual relation comprehensive grading value between software.
Second:Determine an intended application software;N number of application software centering extracts soft comprising the intended application The application software pair of part, obtains R intended application software pair;R is the positive integer more than or equal to 2;By the R intended application The corresponding intermediate parameters of software pair are ranked up, and obtain the sequence sequence number value of each intermediate parameters of each intended application software pair; Corresponding each intended application software pair, the sequence sequence number value of each intermediate parameters of the intended application software pair is added, and is obtained Mutual relation comprehensive grading value between two application softwaries of the intended application software centering.
Two examples that comprehensive grading value is calculated using second method are given below.
First example:Mutual relation between Android versions synchronization assistant and some softwares.
Fig. 3 shows the result of calculation of the mutual relation between Android versions synchronization assistant and some softwares.Wherein, mesh Mark application software is Android versions synchronization assistant, and intended application software is to for including each application of Android versions synchronization assistant Software pair.In this example, while calculating above-mentioned three intermediate parameters, and each intermediate parameters is sorted, and will After ranking value carries out adding up, the comprehensive grading value of each intended application software pair is obtained.
Second example:The mutual relation dug between money and valuables and some softwares.
Fig. 4 shows the result of calculation of the mutual relation dug between money and valuables and some softwares.Wherein, intended application software is Money and valuables is dug, intended application software is to for including each application software pair for digging money and valuables.In this example, while calculating above-mentioned three Individual intermediate parameters, and each intermediate parameters is sorted, and after ranking value is carried out adding up, obtain each intended application soft The comprehensive grading value of part pair.
Determine that the mutual relation between two application softwaries of each application software centering is characterized after index, can enter in the method One step characterizes index according to the mutual relation between two application softwaries of each application software centering, and to user application software is carried out Present.For example, the recommendation of respective application software is carried out to user, or the advertisement putting of respective application software is carried out to user, or Be at war with notice of application software etc. to user.
Fig. 5 is a kind of example arrangement of the determining device of mutual relation between different application software in the embodiment of the present invention Figure.Device in the present embodiment can be located in server, server cluster or cloud computing service center.The device can be used for reality Method shown in existing Fig. 1, for the details not disclosed in this device embodiment can be found in retouching in embodiment of the method shown in correspondence Fig. 1 State.As shown in figure 5, the device may include:List acquisition module 501, software is to determining module 502, number of users determining module 503 With index computing module 504.
Wherein, list acquisition module 501 is used to obtaining the application software of M user and uses list;M is more than or equal to 2 Positive integer.Corresponding with method shown in Fig. 1, list acquisition module 501 can be used to receive intelligent terminal's upload of M user Application software uses list;Or, the application software that M user is obtained from each application software server uses list.
Software is used to determine N number of application software pair to determining module 502;N is the positive integer more than or equal to 1.With Fig. 1 institutes Show that method is corresponding, software can predefine application to be measured soft to determining module 502 according to user's request or other strategies Part pair.Or, it is also possible to all application softwaries acquired in list acquisition module 501 are carried out using the application software in list Match two-by-two, obtain each application software pair.Or, can also be the application software according to acquired in list acquisition module 501 Using list, it is determined that meeting N number of application software pair of setting demand.
In the present embodiment, if software is predefined if application software pair to be measured to determining module 502, list is obtained To can be without data flow, now between determining module 502, list acquisition module 501 need to will be acquired for module 501 and software Application software be supplied to number of users determining module 503 using list.If software is to determining module 502 using two kinds of sides below Formula determined if application software pair, then list acquisition module 501 and software is to having data flow between determining module 502, now, Acquired application software is supplied to software to determine determining module 502 and number of users by list acquisition module 501 using list Module 503.
Number of users determining module 503 is used to be directed to each application software pair, and according to acquired application software list is used, The concurrent users number of the application software pair, and two applications of the application software centering are determined from the M user The respective number of users of software.Wherein, determine that the concurrent users number of the application software pair is referred to from institute from the M user Determination in M user is stated while having used the number of users of two application softwaries of the application software centering, the application is obtained The concurrent users number of software pair.It is assumed that two application softwaries of the application software centering are respectively the first application software and second Application software, then the respective number of users of two application softwaries of the application software centering referred to used in M user institute State the first application software of application software centering number of users and the application software centering used in M user second should With the number of users of software.
Index computing module 504 is used to being directed to each application software pair, concurrent users number according to the application software pair, And the respective number of users of two application softwaries of the application software centering, it is calculated two of the application software centering Mutual relation between application software characterizes index.
Corresponding with method shown in Fig. 1, in one embodiment, two applications that index computing module 504 is calculated are soft Mutual relation between part characterizes index and may include:Jie Kade similarities, cosine similarity between two application softwaries and altogether Deposit any one in lifting degree or combination in any.Wherein, the Jie Kade similarities can be calculated according to above-mentioned formula (1) Arrive, the cosine similarity can be calculated according to above-mentioned formula (2), the lifting degree that coexists can be according to above-mentioned formula (3) it is calculated.
Corresponding with method shown in Fig. 1, in another embodiment, index computing module 504 may include:Intermediate parameters Computing module 5041 and comprehensive grading determining module 5042.
Wherein, intermediate parameters computing module 5041 is used between two application softwaries for calculating the application software centering Jie Kade similarities, cosine similarity and any two in lifting degree or three are coexisted, obtain two or three intermediate parameters. Wherein, the Jie Kade similarities can be calculated according to above-mentioned formula (1), and the cosine similarity can be according to above-mentioned public affairs Formula (2) is calculated, and the lifting degree that coexists can be calculated according to above-mentioned formula (3).
Comprehensive grading determining module 5042 is used for according to the calculated intermediate parameters, is calculated described using soft Mutual relation comprehensive grading value between two application softwaries of part centering.
When implementing, comprehensive grading determining module 5042 can have various ways of realization, and two of which is set forth below.
Fig. 6 shows the structural representation of comprehensive grading determining module in an example of the invention.As shown in fig. 6, the example In son, the comprehensive grading determining module 5042 can be further included:Weight distribution module 601 and score value computing module 602.
Weight distribution module 601 is used for the weight of respectively calculated each setting of intermediate parameters distribution one.
Score value computing module 602 is used for the weight according to each intermediate parameters, to calculated all intermediate parameters It is weighted, obtains the mutual relation comprehensive grading value between two application softwaries of the application software centering.
Fig. 7 shows the structural representation of comprehensive grading determining module in another example of the invention.As shown in fig. 7, should In example, the comprehensive grading determining module 5042 can be further included:Target software determining module 701, target software is to true Cover half block 702, order module 703 and score value computing module 704.
Wherein, target software determining module 701 is used to determine an intended application software.
Target software is used to extract soft comprising the intended application from N number of application software centering to determining module 702 The application software pair of part, obtains R intended application software pair.Wherein, R is the positive integer more than or equal to 2.
Order module 703 is used to be ranked up the corresponding intermediate parameters of the R intended application software pair, obtains each The sequence sequence number value of each intermediate parameters of intended application software pair.
Score value computing module 704 is used for corresponding each intended application software pair, by each of the intended application software pair The sequence sequence number value of intermediate parameters is added, and obtains the mutual relation between two application softwaries of the intended application software centering Comprehensive grading value.
Fig. 8 is a kind of structural representation of server in the embodiment of the present invention.The server can be used to realize side shown in Fig. 1 Method and Fig. 5 shown devices.As shown in figure 8, the server may include:Processor 801, non-volatile computer readable memory 802nd, display unit 803 and network communication interface 804.These components are communicated by bus 805.
In the present embodiment, be stored with multiple program modules in memorizer 802, for example:Operating system 806, network service mould Block 807 and application program 808.
Processor 801 can read the various module (not shown)s included by the application program 808 in memorizer 802 To perform various function application and the data processing of user terminal.Processor 801 in the present embodiment can be one, also may be used Think multiple, its can be CPU, processing unit/module, ASIC, logic module or programmable gate array etc..
Wherein, operating system 806 is included but is not limited to:Android operation system, Windows operating system, Fructus Mali pumilae iOS Operating system, Fructus Mali pumilae Mac OS operating systems etc..
Application program 808 may include each functional module in Fig. 5 shown devices, and it is executable to form corresponding computer Instruction set 809 and corresponding metadata and heuritic approach 810.These set of computer-executable instructions can be by the processor 801 functions of performing and complete method shown in Fig. 1 or Fig. 5 shown devices.
In the present embodiment, network communication interface 804 is engaged with network communication module 807 and completes the various networks of server The transmitting-receiving of signal, including the application software between intelligent terminal transmission and network data exchange of list etc. are used.
Display unit 803 has a display floater, for completing the input and display of relevant information, including presents using soft Mutual relation between part etc..
Present invention also offers a kind of storage medium, such as non-volatile computer readable storage medium storing program for executing, wherein the number that is stored with According to processing routine, the data processor is used to perform any embodiment of said method of the present invention.
Fig. 9 is a kind of example arrangement of the determination system of mutual relation between different application software in the embodiment of the present invention Figure.As shown in figure 9, the system includes:Phase between M intelligent terminal 901 and the different application software as shown in Fig. 5 or Fig. 8 The determining device 902 of mutual relation.
Wherein, each intelligent terminal 901 in the M intelligent terminal 901 is used to make the application software of own user Described device 902 is supplied to list.M is the positive integer more than or equal to 2.Intelligent terminal 901 can be mobile phone, flat board electricity Brain, pocket computer on knee and desk computer etc..
Can be connected by wireless network or cable network between intelligent terminal 901 and described device 902.
Described device 902 is used to obtain the application software of M user and uses list;M is the positive integer more than or equal to 2; Determine N number of application software pair;N is the positive integer more than or equal to 1;For each application software pair, according to acquired application Software uses list, and the concurrent users number of the application software pair, and the application software pair are determined from the M user In the respective number of users of two application softwaries;According to the concurrent users number and the application software of the application software pair The respective number of users of two application softwaries of centering, the phase being calculated between two application softwaries of the application software centering Mutual relation characteristic index.Device 902 can be a server, or by some server groups into server cluster, or Person is cloud computing service center etc..
Additionally, a kind of application software can also be provided in the application presents system, the system may include that above-mentioned difference should Device is presented with the determining device and one of mutual relation between software.
Wherein, presenting device can respectively should according to determined by the determining device of mutual relation between the different application software Index is characterized with the mutual relation between two application softwaries of software centering, application software is carried out to user and is presented.For example, to User carries out the recommendation of respective application software, or carries out the advertisement putting of respective application software to user, or carries out to user competing Strive notice of application software etc..
In the embodiment of the present invention, list is used by obtaining the application software of multiple users, and according to acquired application Software matrix determines multiple application softwaries pair;For each application software pair, list is used according to acquired application software, from Determine the concurrent users number of the application software pair in the M user, and two applications of the application software centering are soft The respective number of users of part, so be calculated the mutual relation between two application softwaries of the application software centering characterize refer to Mark.It can be seen that, the characteristic index have found the mutual relation between application software, and its based on objective data, exactly Presented in the way of numerical value, realize the quantization to mutual relation between two application softwaries so that two not only can be judged Mutual relation between application software is promotion relation or competitive relation, and can quantify its degree for promoting or competing.
It is possible to further using the Jie Kade similarities between two application softwaries, cosine similarity and lifting coexist Characterizing the mutual relation between two application softwaries, its value is bigger, represents and promotes journey for any one or combination in any in degree Degree is bigger, and value is less, represents that competition is fiercer.
Further, it is also possible to according to any two among above three index or three, according to default weight or sequence Value, is calculated a comprehensive grading value, such that it is able to more intuitively determine the mutual relation between two application softwaries.
Presently preferred embodiments of the present invention is the foregoing is only, not to limit the present invention, all essences in the present invention Within god and principle, any modification, equivalent substitution and improvements made etc. should be included within the scope of the present invention.

Claims (17)

1. between a kind of different application software mutual relation determination method, it is characterised in that include:
The application software for obtaining M user uses list;M is the positive integer more than or equal to 2;
Determine N number of application software pair;N is the positive integer more than or equal to 1;
For each application software pair, list is used according to acquired application software, described answering is determined from the M user With the concurrent users number of software pair, and the respective number of users of two application softwaries of the application software centering;
For each application software pair, according to the concurrent users number of the application software pair and the application software centering The respective number of users of two application softwaries, the mutual relation being calculated between two application softwaries of the application software centering Characteristic index.
2. method according to claim 1, it is characterised in that the N number of application software of the determination is to including:
Predefine N number of application software pair to be measured;Or,
Acquired all application softwaries are matched two-by-two using the application software in list, N number of application software pair is obtained; Or,
List is used according to acquired application software, it is determined that meeting N number of application software pair of setting demand.
3. method according to claim 1, it is characterised in that the mutual relation between described two application softwaries is characterized and referred to Mark includes:Jie Kade similarities, cosine similarity between two application softwaries and any one in lifting degree coexists or appoints Meaning combination;Wherein,
The Jie Kade similarities are calculated according to equation below:
J (A, B)=(A ∩ B)/(A ∪ B)
The cosine similarity is calculated according to equation below:
C ( A , B ) = ( A ∩ B ) / ( A * B )
The lifting degree that coexists is calculated according to equation below:
L (A, B)=((A ∩ B)/B)/(A/M)
Wherein, A is the number of users of the first application software of the application software centering, and B is the second of the application software centering The number of users of application software, M is total number of users, and A ∩ B are the concurrent users number of the application software pair, and A ∪ B are A+B- (A ∩ B), J (A, B) is Jie Kade similarities, and C (A, B) is cosine similarity, and L (A, B) is that lifting degree coexists.
4. method according to claim 1, it is characterised in that two applications for being calculated the application software centering are soft Mutual relation between part characterizes index to be included:
Calculate the Jie Kade similarities between two application softwaries of the application software centering, cosine similarity and lifting coexists Any two in degree or three, obtain two or three intermediate parameters;
According to the calculated intermediate parameters, the phase being calculated between two application softwaries of the application software centering Mutual relation comprehensive grading value;
Wherein, the Jie Kade similarities are calculated according to equation below:
J (A, B)=(A ∩ B)/(A ∪ B)
The cosine similarity is calculated according to equation below:
C ( A , B ) = ( A ∩ B ) / ( A * B )
The lifting degree that coexists is calculated according to equation below:
L (A, B)=((A ∩ B)/B)/(A/M)
Wherein, A is the number of users of the first application software of the application software centering, and B is the second of the application software centering The number of users of application software, M is total number of users, and A ∩ B are the concurrent users number of the application software pair, and A ∪ B are A+B- (A ∩ B), J (A, B) is Jie Kade similarities, and C (A, B) is cosine similarity, and L (A, B) is that lifting degree coexists.
5. method according to claim 4, it is characterised in that described according to the calculated intermediate parameters, calculates The mutual relation comprehensive grading value obtained between two application softwaries of the application software centering includes:
The weight of respectively calculated each setting of intermediate parameters distribution one;
According to the weight of each intermediate parameters, calculated all intermediate parameters are weighted, obtain the application Mutual relation comprehensive grading value between two application softwaries of software centering.
6. method according to claim 4, it is characterised in that described according to the calculated intermediate parameters, calculates The mutual relation comprehensive grading value obtained between two application softwaries of the application software centering includes:
Determine an intended application software;
The application software pair comprising the intended application software is extracted from N number of application software centering, R intended application is obtained Software pair;R is the positive integer more than or equal to 2;
The corresponding intermediate parameters of the R intended application software pair are ranked up, each of each intended application software pair is obtained The sequence sequence number value of intermediate parameters;
Corresponding each intended application software pair, the sequence sequence number value of each intermediate parameters of the intended application software pair is added, Obtain the mutual relation comprehensive grading value between two application softwaries of the intended application software centering.
7. method according to claim 1, it is characterised in that the application software of M user of the acquisition uses list bag Include:
The application software for receiving intelligent terminal's upload of M user uses list;Or,
The application software that M user is obtained from each application software server uses list.
8. method according to any one of claim 1 to 7, it is characterised in that the method is further included:According to respectively should Index is characterized with the mutual relation between two application softwaries of software centering, application software is carried out to user and is presented.
9. between a kind of different application software mutual relation determining device, it is characterised in that include:
List acquisition module, the application software for obtaining M user uses list;M is the positive integer more than or equal to 2;
Software to determining module, for determining N number of application software pair;N is the positive integer more than or equal to 1;
Number of users determining module, for for each application software pair, according to acquired application software list being used, from described Determine the concurrent users number of the application software pair in M user, and two application softwaries of the application software centering are each From number of users;
Index computing module, for for each application software pair, according to concurrent users number, the Yi Jisuo of the application software pair The respective number of users of two application softwaries of application software centering is stated, two applications for being calculated the application software centering are soft Mutual relation between part characterizes index.
10. device according to claim 9, it is characterised in that the software is used to predefining to be measured to determining module N number of application software pair;Or, all application softwaries that the list acquisition module is obtained use the application software in list Matched two-by-two, obtained N number of application software pair;Or, row are used according to the application software that the list acquisition module is obtained Table, it is determined that meeting N number of application software pair of setting demand.
11. devices according to claim 9, it is characterised in that two application softwaries that the index computing module is calculated Between mutual relation characterize index include:Jie Kade similarities, cosine similarity between two application softwaries and coexisting is carried Any one in liter degree or combination in any;Wherein,
The Jie Kade similarities are calculated according to equation below:
J (A, B)=(A ∩ B)/(A ∪ B)
The cosine similarity is calculated according to equation below:
C ( A , B ) = ( A ∩ B ) / ( A * B )
The lifting degree that coexists is calculated according to equation below:
L (A, B)=((A ∩ B)/B)/(A/M)
Wherein, A is the number of users of the first application software of the application software centering, and B is the second of the application software centering The number of users of application software, M is total number of users, and A ∩ B are the concurrent users number of the application software pair, and A ∪ B are A+B- (A ∩ B), J (A, B) is Jie Kade similarities, and C (A, B) is cosine similarity, and L (A, B) is that lifting degree coexists.
12. devices according to claim 9, it is characterised in that the index computing module includes:
Intermediate parameters computing module, it is similar for the Jie Kade between two application softwaries for calculating the application software centering Degree, cosine similarity and any two in lifting degree or three are coexisted, obtain two or three intermediate parameters;
Comprehensive grading determining module, for according to the calculated intermediate parameters, being calculated the application software centering Two application softwaries between mutual relation comprehensive grading value;
Wherein, the Jie Kade similarities are calculated according to equation below:
J (A, B)=(A ∩ B)/(A ∪ B)
The cosine similarity is calculated according to equation below:
C ( A , B ) = ( A ∩ B ) / ( A * B )
The lifting degree that coexists is calculated according to equation below:
L (A, B)=((A ∩ B)/B)/(A/M)
Wherein, A is the number of users of the first application software of the application software centering, and B is the second of the application software centering The number of users of application software, M is total number of users, and A ∩ B are the concurrent users number of the application software pair, and A ∪ B are A+B- (A ∩ B), J (A, B) is Jie Kade similarities, and C (A, B) is cosine similarity, and L (A, B) is that lifting degree coexists.
13. devices according to claim 12, it is characterised in that the comprehensive grading determining module includes:
Weight distribution module, for being respectively the weight of calculated each setting of intermediate parameters distribution one;
Score value computing module, for according to the weight of each intermediate parameters, carrying out adding to calculated all intermediate parameters Power is calculated, and obtains the mutual relation comprehensive grading value between two application softwaries of the application software centering.
14. devices according to claim 12, it is characterised in that the comprehensive grading determining module includes:
Target software determining module, for determining an intended application software;
Target software includes answering for the intended application software to determining module for extracting from N number of application software centering With software pair, R intended application software pair is obtained;R is the positive integer more than or equal to 2;
Order module, for the corresponding intermediate parameters of the R intended application software pair to be ranked up, obtaining each target should With the sequence sequence number value of each intermediate parameters of software pair;
Score value computing module, for each intended application software pair of correspondence, by each middle ginseng of the intended application software pair Several sequence sequence number values is added, and the mutual relation obtained between two application softwaries of the intended application software centering is comprehensively commented Score value.
15. devices according to claim 9, it is characterised in that the list acquisition module is used to receive the intelligence of M user The application software that energy terminal is uploaded uses list;Or, the application software of M user is obtained from each application software server to be made Use list.
The determination system of mutual relation between a kind of 16. different application softwares, it is characterised in that include:M intelligent terminal and such as The determining device of mutual relation between a kind of different application software any one of claim 9 to 15;Wherein,
Each intelligent terminal in the M intelligent terminal is described for the application software of own user to be supplied to using list Device;M is the positive integer more than or equal to 2.
A kind of 17. application softwaries present system, it is characterised in that include:Present device and such as any one of claim 9 to 15 The determining device of mutual relation between a kind of described different application software;Wherein,
It is described to present device for respectively applying according to determined by the determining device of mutual relation between the different application software Mutual relation between two application softwaries of software centering characterizes index, carries out application software to user and presents.
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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108355349A (en) * 2018-03-14 2018-08-03 张伟东 Games system
CN109213513A (en) * 2017-06-30 2019-01-15 腾讯科技(深圳)有限公司 The determination method, apparatus and computer readable storage medium of software share accounting

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102541590A (en) * 2011-12-14 2012-07-04 奇智软件(北京)有限公司 Software recommending method and system
CN104750798A (en) * 2015-03-19 2015-07-01 腾讯科技(深圳)有限公司 Application program recommendation method and device
CN104778178A (en) * 2014-01-13 2015-07-15 腾讯科技(深圳)有限公司 Application classification method, application classification device and service server
CN104899266A (en) * 2015-05-22 2015-09-09 广东欧珀移动通信有限公司 Application recommendation method and apparatus
US9213729B2 (en) * 2012-01-04 2015-12-15 Trustgo Mobile, Inc. Application recommendation system
US20150378446A1 (en) * 2014-06-27 2015-12-31 Orange Method for selecting an entry for an application using a graphical user interface
CN105608180A (en) * 2015-12-22 2016-05-25 北京奇虎科技有限公司 Application recommendation method and system

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102541590A (en) * 2011-12-14 2012-07-04 奇智软件(北京)有限公司 Software recommending method and system
US9213729B2 (en) * 2012-01-04 2015-12-15 Trustgo Mobile, Inc. Application recommendation system
CN104778178A (en) * 2014-01-13 2015-07-15 腾讯科技(深圳)有限公司 Application classification method, application classification device and service server
US20150378446A1 (en) * 2014-06-27 2015-12-31 Orange Method for selecting an entry for an application using a graphical user interface
CN104750798A (en) * 2015-03-19 2015-07-01 腾讯科技(深圳)有限公司 Application program recommendation method and device
CN104899266A (en) * 2015-05-22 2015-09-09 广东欧珀移动通信有限公司 Application recommendation method and apparatus
CN105608180A (en) * 2015-12-22 2016-05-25 北京奇虎科技有限公司 Application recommendation method and system

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
赵怡然: "移动终端的APP应用组织研究综述", 《信息通信》 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109213513A (en) * 2017-06-30 2019-01-15 腾讯科技(深圳)有限公司 The determination method, apparatus and computer readable storage medium of software share accounting
CN108355349A (en) * 2018-03-14 2018-08-03 张伟东 Games system

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