CN109145217A - Method, apparatus, equipment and the storage medium of the Internet data analysis of mobile terminal - Google Patents
Method, apparatus, equipment and the storage medium of the Internet data analysis of mobile terminal Download PDFInfo
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- CN109145217A CN109145217A CN201811030041.XA CN201811030041A CN109145217A CN 109145217 A CN109145217 A CN 109145217A CN 201811030041 A CN201811030041 A CN 201811030041A CN 109145217 A CN109145217 A CN 109145217A
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Abstract
The invention discloses method, apparatus, equipment and the storage mediums of the analysis of the Internet data of mobile terminal, this method comprises: mobile terminal classifies to interest tags belonging to the Internet data in the Internet data of mobile network in acquisition statistical sample；Normpdf of the Internet data based on the interest tags is calculated, the preference of the network access of the mobile terminal is judged according to the normpdf.The embodiment of the present invention can be accurately judged to the preference that mobile subscriber uses mobile terminal network visiting, preferably provide personalized service for mobile subscriber.
Description
Technical field
The present embodiments relate to the analyses of the Internet data of data mining and data analysis technique more particularly to mobile terminal
Method, apparatus, equipment and storage medium.
Background technique
With the rapid development of network technology, hundreds of millions of mobile subscribers accesses net using mobile phone more and more
Network, to meet the demands such as work, life, leisure and amusement.Network application becomes increasingly complex, and data volume is also increasing, mobile phone
Application market software in just recommend diversified mobile application for the difference preference of mobile phone user, such as: it is game class, small
Say class, video class, tourism etc..
It, will be in operator's core when mobile subscriber carries out network activity by mobile network using mobile terminals such as mobile phones
A large amount of data are generated in heart net, this provides a large amount of data to study the network behavior of mobile subscriber.It is used from mobile
The webpage of family access, using mobile applications, access the frequency of network and access the behaviors such as duration of network for the use of, can be with
It learns the interest preference of the network access of mobile subscriber, is met the needs of users to targetedly carry out e-commerce,
Personalized service is provided for mobile subscriber.Based on this, how from the information expanded rapidly accurate understanding mobile subscriber letter
Breath demand, building characterization mobile subscriber's feature, interest, the user model of target and Behavior preference simultaneously predict mobile subscriber accordingly
Network access behavior, preferably provide personalized service for mobile subscriber and have become a problem.It is how in time and accurate
Ground finds the interest preference of mobile subscriber, the user interest model that building dynamic updates, to meet the individual character of different mobile subscribers
Change information requirement service, has become the critical issue of individual info service.
Summary of the invention
The present invention provides method, apparatus, equipment and the storage medium of the Internet data analysis of mobile terminal, to realize judgement
Mobile terminal carries out the preference of network access, and personalized network service is provided for mobile subscriber.
In a first aspect, the embodiment of the invention provides the methods of the Internet data of mobile terminal analysis, comprising:
Acquire statistical sample in mobile terminal mobile network Internet data, to interest mark belonging to the Internet data
Label are classified；
Normpdf of the Internet data based on the interest tags is calculated, according to the normal state
Distribution probability density function judges the preference of the network access of the mobile terminal.
Second aspect, the embodiment of the invention also provides the devices of the Internet data of mobile terminal analysis, comprising:
Categorization module is acquired, for acquiring mobile terminal in statistical sample in the Internet data of mobile network, on described
Interest tags belonging to network data are classified；
Statistic analysis module, for calculating normal distribution probability density of the Internet data based on the interest tags
Function judges the preference of the network access of the mobile terminal according to the normpdf.
The third aspect the embodiment of the invention also provides a kind of computer equipment, including memory, processor and is stored in
On memory and the computer program that can run on a processor, the processor realize mobile terminal when executing described program
The method of Internet data analysis.
Fourth aspect, the embodiment of the invention also provides a kind of computer readable storage mediums, are stored thereon with computer
Program realizes the method for the Internet data analysis of mobile terminal when the program is executed by processor.
The present invention provides method, apparatus, equipment and the storage mediums of the analysis of the Internet data of mobile terminal, pass through acquisition
Mobile terminal classifies to interest tags belonging to the Internet data in the Internet data of mobile network in statistical sample；
Normpdf of the Internet data based on the interest tags is calculated, according to the normal distribution probability
Density function judges the preference of the network access of the mobile terminal, and accurate judgement mobile subscriber uses mobile terminal network visiting
Interest preference, preferably provide personalized service for mobile subscriber.
Detailed description of the invention
Fig. 1 is the flow chart of the method for the Internet data analysis for the mobile terminal that the embodiment of the present invention one provides；
Fig. 2 is the flow chart of the method for the Internet data analysis of mobile terminal provided by Embodiment 2 of the present invention；
Fig. 3 is the structural schematic diagram of the device of the Internet data analysis for the mobile terminal that the embodiment of the present invention three provides；
Fig. 4 is another structural representation of the device of the Internet data analysis for the mobile terminal that the embodiment of the present invention three provides
Figure；
Fig. 5 is a kind of structural schematic diagram for computer equipment that the embodiment of the present invention four provides.
Specific embodiment
The present invention is described in further detail with reference to the accompanying drawings and examples.It is understood that this place is retouched
The specific embodiment stated is used only for explaining the present invention rather than limiting the invention.It also should be noted that in order to just
Only the parts related to the present invention are shown in description, attached drawing rather than entire infrastructure.
Embodiment one
Fig. 1 is the flow chart of the method for the Internet data analysis for the mobile terminal that the embodiment of the present invention one provides, this implementation
Example is applicable to analysis mobile subscriber and judges that the network of mobile subscriber is visited using the Internet data of mobile network by mobile terminal
The case where preference asked, this method can be executed by the device that the Internet data of mobile terminal is analyzed, and specifically include following step
It is rapid:
Step S110, acquire statistical sample in mobile terminal mobile network Internet data, to the Internet data institute
The interest tags of category are classified.
Wherein, interest tags can be divided into: sport category, music class, automotive-type, game class, video display class, tourism, makeups
The major class such as class are included into the interest tags of these classifications in interest tags library.Mobile subscriber is mobile eventually by mobile phone, plate etc.
When end carries out network activity using mobile network, a large amount of Internet data can be generated.It, can be with by analyzing these Internet datas
Solve mobile subscriber network access preference, such as game enthusiasts access game class mobile applications (APP,
Application) or uniform resource locator (URL, Uniform Resource Locator) is relatively more frequent；Music-lover
Tend to access the APP and URL of music class.But in real life, the preference person of certain class interest tags will also tend to access
Other interest tags, therefore just need to classify to these Internet datas really to understand mobile subscriber and carry out network access
Preference.Specifically, the Internet data for collecting a mobile subscriber can be related to game APP, game discussion bar, game opinion
The game class such as altar, game strategy mobile applications or uniform resource locator can also relate to novel class, music class, body
The Internet datas such as the others such as class APP and URL are educated, are classified to these Internet datas.
Internet data in statistical sample carries out network access using mobile network by mobile terminal from mobile subscriber
When the network data that is recorded in Operator Core Network.Acquiring all mobile subscribers in statistical sample in the set time period makes
The Internet data for accessing internet by mobile network with mobile terminal uses mobile subscriber according to above-mentioned interest tags library
The Internet resources of mobile terminal accessing are classified, wherein set period of time can be one day, ten days, one month, half a year or
1 year etc.；Internet resources can be mobile applications or uniform resource locator etc.；Internet data can be logical for mobile subscriber
Mobile terminal is crossed to the visitation frequency of all kinds of interest tags and access duration.Preferably, mobile subscriber in statistical sample is acquired to exist
Internet data in one month using mobile terminal in mobile network, mobile applications that mobile subscriber is accessed and uniformly
Resource Locator is classified according to the interest tags library of building, is classified into different emerging such as game, music and sport category
In interesting label.
Step S120, normpdf of the Internet data based on the interest tags, root are calculated
The preference of the network access of the mobile terminal is judged according to the normpdf.
In order to have the preference of the network access of mobile subscriber in statistical sample the observation of one globality, need to count sample
Access situation of all mobile subscribers on all kinds of interest tags in this, according to mobile subscribers all in statistical sample to certain one kind
The access data of interest tags show that overall movement user accesses the rule of such interest tags, so that it is dynamic to be inferred to certain displacement
Whether user has preference to such interest tags.
All mobile subscribers access the Internet data of affiliated interest tags from statistical sample, find mobile subscriber to all kinds of
The visitation frequency and access duration of interest tags meet normal distribution law.With the mobile subscriber in statistical sample in setting time
In section on music class interest tags visitation frequency and access duration for, calculate in statistical sample mobile subscriber in music
Visitation frequency and access time average and standard deviation on class interest tags, so that mobile subscriber in statistical sample be calculated
Visitation frequency and the normpdf of access time on music class interest tags.By a certain position mobile subscriber
The actual access frequency and actual access time on music class interest tags are updated to access corresponding to such interest tags
In the normpdf of the frequency and access time, reality of this mobile subscriber on music class interest tags is obtained
Probability value corresponding to border visitation frequency and actual access time, if the actual access frequency and actual access of this mobile subscriber
The probability value of probability value corresponding to the frequency, actual access time and actual access time is all satisfied preset threshold, then judgement should
Mobile subscriber has preference to music class interest tags, and then show that mobile subscriber uses access of the mobile terminal by mobile network
The preference of network.
Illustratively, certain mobile subscriber access belongs to the network activity situation of the APP or URL of music class interest tags, from
The mobile subscriber's is emerging to be judged to the visitation frequency of music class interest tags and access duration in mobile subscriber's set period of time
Interesting preference.Preferably, the Internet data in statistical sample mobile subscriber one month is analyzed, with daily access times and
A length of index when access every time, judges the interest preference of a certain position mobile subscriber in statistical sample.
Specifically, counting one month Internet data of all mobile subscribers in statistical sample, will be moved from Internet data
Employ family accessed APP or URL classifies, and belonged in corresponding interest tags, it is emerging to count every one kind
The visitation frequency and access duration numberical range of interesting label, and calculate the visitation frequency of every a kind of interest tags and access duration
Average and standard deviation obtains the visitation frequency and the visit that access such interest tags based on all mobile subscribers in statistical sample
Ask normpdf corresponding to duration.Such as: mobile subscriber accesses daily in statistical sample belongs to music
The number of the APP or URL of class interest tags are 1~100, access 1~1000 minute, are then calculated in the statistical sample every time
The average and standard deviation of mobile subscriber daily access times and each access duration on music class interest tags, obtains daily
Access times and the every time corresponding normpdf of access duration institute.
If by each mobile subscriber in statistical sample to the actual access frequency of music class interest tags and practical visit
Ask the specific value of duration be updated to respectively the music class interest tags visitation frequency and access duration institute it is corresponding just
It is mobile subscriber to the visitation frequency probability value of music class interest tags and access duration that state distribution probability density function, which obtains this,
Probability value.Set visitation frequency, access duration and both corresponding normal distribution of institute's difference of the music class interest tags
The threshold value of the probability value of probability density function, if visitation frequency and access this two groups of indexs of duration are all satisfied threshold value, judgement should
Mobile subscriber has preference on music class interest tags.
The working principle of the method for the Internet data analysis of the mobile terminal: mobile subscriber uses shifting in acquisition statistical sample
Dynamic terminal is by the network data of mobile network's access APP and URL, by the APP of access and URL according to its subject classification to all kinds of
In interest tags, visitation frequency and access duration, and access of all mobile subscribers to all kinds of interest tags in extraction sample
Mobile subscriber's number corresponding to each specific value in the frequency and access duration, it can be seen that visitation frequency and access duration institute
Corresponding mobile subscriber's number meets normal distribution law.Estimate that mobile subscriber accesses all kinds of interest tags by statistical sample
The average and standard deviation of visitation frequency and access duration obtains visitation frequency and accesses the normal distribution probability density letter of duration
Number.If a mobile subscriber accesses the APP or URL that belong to some interest tags in all users in statistical sample
Number is relatively more, and this high access times is in more stable state, then illustrates the mobile subscriber than other mobile subscribers
The APP or URL for belonging to such interest tags are focused more on, then judges that the mobile subscriber has preference to such interest tags,
Wherein it is possible to embody stationarity by visitation frequency and access duration, it is specifically as follows daily access times and every time access
Duration and its obtained probability value of corresponding normal distribution probability function be all satisfied preset threshold, can also be referred to others
Mark is to evaluate the stationarity that the mobile subscriber accesses such interest tags.
The technical solution of the present embodiment, by acquisition statistical sample in mobile terminal mobile network Internet data, it is right
Interest tags belonging to the Internet data are classified；Calculate the Internet data normal state based on the interest tags point
Cloth probability density function judges the preference of the network access of the mobile terminal according to the normpdf,
The present embodiment is excavated and is analyzed to the Internet data of the network access of the mobile subscriber in statistical sample, utilizes mobile subscriber
Network access behavior construct normpdf model, mobile subscriber can be accurately judged to using mobile terminal
The preference for accessing network, preferably provides personalized service for mobile subscriber.
Embodiment two
Fig. 2 is the flow chart of the method for the Internet data analysis of mobile terminal provided by Embodiment 2 of the present invention.This implementation
Example makees furtherly the method and step of the Internet data analysis of mobile terminal on the basis of the technical solution of embodiment one
It is bright, the specific steps are as follows:
Step S210, mobile application and uniformly is constructed according to the subject classification of mobile applications and uniform resource locator
Interest tags library belonging to Resource Locator.
Mobile subscriber accesses oneself interested mobile applications (APP) and system by mobile network using mobile terminal
One Resource Locator (URL).Common APP application class has: amusement live streaming, game live streaming, short-sighted frequency, Online Video, online
Music, music radio station, take pictures U.S. figure, mobile station, network k song, reading, Comprehensive Data, sport information, finance and economics information, synthesis
Electric business, cross-border electric business, mother and baby's electric business, fashion clothing, fresh electric business, tourism, medical treatment, sport and body-building, social love and marriage, Investment & Financing
Deng.According to interest tags library belonging to the subject classification of APP and URL building APP and URL, specific APP and URL are included into
It is as shown in table 1 below in corresponding label:
Interest tags library belonging to table 1 APP and URL
| Interest tags | APP or URL |
| Sport | Sports applications 1, sports applications 2, sports applications 3 ... |
| Music | Music application 1, music application 2, music application 3 ... |
| Game | Game application 1, game application 2, game application 3 ... |
| ...... | ...... |
In order to which the network behavior more accurately for user stamps interest tags, on the basis of above-mentioned major class label, also
Multiple subtabs can be further subdivided into, such as running, basketball, football etc. can also be subdivided under major class label " sport "
Subtab；It can also be segmented under major class label " music " are as follows: the son mark such as light music, absolute music, video display music, classical old song
Label.It can be included in relevant interest tags classification according to the difference of the common classification of APP and URL and its theme, if
It can not be referred in related interests label classification, its subject content can be parsed in the presence of the APP or URL for accessing more,
To judge interest tags classification belonging to this APP or URL.
Step S220, mobile terminal passes through mobile network's access mobile applications and uniformly in the set time period for acquisition
The Internet data of Resource Locator classifies to the Internet data according to affiliated interest tags library.
The Internet data that mobile terminal in the set time period accesses internet by mobile network is acquired, according to above-mentioned
Classified to mobile subscriber in statistical sample using the Internet resources of mobile terminal accessing in interest tags library, wherein when setting
Between section can be one day, two weeks, one month, half a year, 1 year or other convenient for statistics calculate periods, Internet resources can
Think mobile applications and uniform resource locator etc..It preferably, is that each mobile subscriber sets identity with telephone number
ID, acquire statistical sample in each mobile subscriber in one month by using mobile terminal mobile network upper netting index
According to mobile applications and uniform resource locator that mobile subscriber is accessed are divided according to the interest tags library of building
Class.
Illustratively, acquire statistical sample in each mobile subscriber Internet data, the APP of specially various themes and
These APP and URL are then referred in its corresponding interest tags by URL respectively.Specifically, the identity ID in statistical sample is
For the Internet data in January, which accessed the mobile subscriber of phone number 1881234XXXX within January
Music APP1, music APP2, music URL3, music URL4, game APP5, video display URL6, literature APP7, sport URL8 etc., then
Above-mentioned access APP and URL is included into music, game, five class label of video display, literature and sport according to its subject classification
In, the Internet data of other mobile subscribers is also classified in this way.
Step S230, be based on the Internet data, statistics in the set time period the mobile terminal to all kinds of interest marks
The visitation frequency and access duration of label.
Preferably, it acquires to access using mobile terminal by mobile network in mobile subscriber one month in statistical sample and move
The Internet datas such as application program (APP) and uniform resource locator (URL), are further analyzed Internet data and obtain the shifting
The visitation frequency and access duration on all kinds of interest tags for employing family, specifically, counting mobile subscriber in statistical sample
The numberical range and corresponding daily access of duration are accessed to access times daily on all kinds of interest tags and every time within January
Mobile subscriber's number corresponding to number and every time access duration specific value.Illustratively, the numerical value model of daily access times
Enclosing is 1~20 time, and the primary corresponding mobile subscriber's number of access daily is 500,000 person-times, and access daily is corresponding twice mobile
Mobile subscriber's number corresponding to access daily that user number is 550,000 person-times ... 20 times is 200,000 person-times；Access the number of duration
Being worth range is 1~1000 minute, and mobile subscriber's number corresponding to access 1 minute is 50,000 person-times every time, accesses 2 minutes institutes every time
Mobile subscriber's number corresponding to each access that corresponding mobile subscriber's number is 80,000 person-times ... 1000 minutes is 20,000 person-times.
In the present embodiment, mobile subscriber can also be calculated according to other statisticals to the APP of affiliated interest tags
Or visitation frequency and the access time of URL, it is respectively corresponded from the visitation frequency of all kinds of interest tags and its each specific value are lower
Access person-time, and access duration and its specific value lower it is corresponding access person-time relationship in, can learn shifting
It employs family and normal distribution law is met by mobile network's progress network access using mobile terminal.
Step S240, statistics in the set time period the mobile terminal to the visitation frequencies of all kinds of interest tags and
The average and standard deviation of the access duration calculates separately the normal distribution probability of the visitation frequency and the access duration
Density function.
According to the numberical range of the visitation frequency of all kinds of interest tags come out and access duration, all kinds of interest are calculated
The visitation frequency of label and the average and standard deviation of access duration, obtain the corresponding normal distribution probability density letter of institute
Number.It illustratively, can be by the access of all kinds of APP and URL according to the Internet data of the mobile subscriber collected in statistical sample
Data are referred in music class, sport category, game class and video display class interest tags, and obtain the visitation frequency of all kinds of interest tags
With the average and standard deviation of access duration, carry out corresponding to the visitation frequency for obtaining all kinds of interest tags and access duration just
State distribution probability density function.
Illustratively, according to daily access of all mobile subscribers to the interest tags of access in one month in statistical sample
Number and the every time Internet data of access duration, and calculate daily access times and the every time average value and standard of access duration
Difference obtains normpdf corresponding to daily access times and every time access duration, wherein normal distribution probability
The formula of density function is as described below:
Wherein, distribution curve corresponding to normpdf is using x=μ as symmetry axis, and left and right is completely right
The bell curve of title, μ are that visitation frequency or the average value of access duration, σ are to visit in all kinds of interest tags in all kinds of interest tags
Ask the frequency or access duration standard deviation, x indicate probability event, specially under set interest tags visitation frequency or access when
Long specific value, f (x) are the probability that event occurs, visitation frequency or the tool of access duration under specially set interest tags
Probability under body numerical value.
Step S250, according to the mobile terminal to the visitation frequencies of all kinds of interest tags and the access duration
Preset threshold and the visitation frequency and it is described access duration institute corresponding normpdf preset
Probability threshold value judges the preference of the network access of the mobile terminal.
In order to judge that a certain mobile subscriber uses mobile terminal to pass through mobile network's progress network access in statistical sample
Preference acquires the Internet data of this mobile subscriber, and wherein Internet data is preferably visitation frequency and the visit of all kinds of interest tags
Ask duration.
Illustratively, certain mobile subscriber in statistical sample accessed music APP1, music APP2, game within January
APP3, video display URL4, literature APP5, sport URL6 etc. count the mobile subscriber in music, game, video display, literature and sport
To the daily access times of all kinds of labels and every time, the Internet data of access duration is further counted in five class labels.It will
The visitation frequency institute that the mobile subscriber is updated to music class interest tags to the daily access times on music class interest tags is right
In the normpdf answered, the mobile subscriber is obtained to music class interest tags in the daily access times
Probability value, while the mobile subscriber is updated to music class interest tags to the daily access duration on music class interest tags
It accesses in normpdf corresponding to duration, it is each at this to music class interest tags to obtain the mobile subscriber
Access the probability value in duration.The upper of the game class of the mobile subscriber, video display class, literature and sport category is carried out according to the method
The visitation frequency of network data and access duration and its respectively to probability value calculating.
The mobile terminal is preset to the threshold value and probability threshold value of the visitation frequencies of all kinds of interest tags and access duration, when
The actual access frequency of certain class interest tags and the numerical value of actual access duration of mobile subscriber access meet preset threshold, and
The actual access frequency and the obtained probability value of actual access duration are all satisfied predetermined probabilities threshold value, then judge the mobile subscriber
There is preference to such interest tags, otherwise, then judges that the mobile subscriber does not have preference to such interest tags.
Illustratively, judge whether the mobile subscriber has preference to music class interest tags, then the mobile subscriber to sound
The actual access frequency and actual access duration numerical value on happy class interest tags are updated to the visit under music class interest tags respectively
Ask the frequency and access duration institute corresponding normpdf, by obtained actual probability and predetermined probabilities
Threshold value compares, if the numerical value and its probability value of the actual access frequency and the numerical value and its probability value of actual access duration are equal
Meet preset threshold, then may determine that the mobile subscriber has preference to music class interest tags.
It, can also other than above-mentioned numerical value and its corresponding probability value judgement simultaneously by visitation frequency and access duration
First to judge the numerical value of visitation frequency or access duration with preset threshold value, if the numerical value of visitation frequency or access duration
It has been unsatisfactory for preset threshold, then has not needed the normpdf corresponding to the frequency or access duration that accesses
It calculates, directly judges that the mobile subscriber does not have preference to such interest tags.The game of the mobile subscriber is carried out according to the method
The judgement of the interest preference of class, video display class, literature and sport category.
It should be noted that due in real life, visitation frequency and access duration of the mobile subscriber to APP or URL
Can not be changeless, mobile subscriber can not to the visitation frequency and access duration of interest tags in the set time period
Together, it is obtained general that the actual access frequency, actual access duration, the corresponding normpdf of visitation frequency are obtained
When rate and the corresponding obtained probability of normpdf of access duration have multiple groups numerical value, threshold is preset when meeting
When the multiple groups numerical value of value and predetermined probabilities threshold value and the ratio of the numerical value sum counted on are more than preset ratio, the movement is just judged
User has preference to such interest tags.
Illustratively, when the half that the multiple groups numerical value for meeting preset threshold and probability threshold value is more than numerical value sum, just judge
The mobile subscriber does not have preference to such interest tags, for example, in certain mobile subscriber to music class interest mark in one month
Daily access times 1~20 time of label differs, and access differs for duration 1~1000 minute every time, then has in the 30 of this month day 15 days
Above daily access times and its corresponding normpdf meet in the frequency index preset threshold value and
Probability threshold value, and the access duration for having more than half in duration and its corresponding normpdf is being accessed every time
Preset threshold value and probability threshold value in long pointer when meeting the access, then judge that the mobile subscriber has music class interest tags
Preference, wherein visitation frequency predetermined probabilities corresponding with duration is accessed with the preset threshold of access duration and visitation frequency
Threshold value may be set according to actual conditions.
By acquisition, mobile terminal passes through mobile network's access movement to the technical solution of the present embodiment in the set time period
The Internet data of application program and uniform resource locator divides the Internet data according to affiliated interest tags library
Class；Based on the Internet data, statistics in the set time period the mobile terminal to the visitation frequencies of all kinds of interest tags and
Access duration；The average and standard deviation for counting the visitation frequency and the access duration, calculates separately the visitation frequency
With the normpdf of the access duration；According to the default threshold of the visitation frequency and the access duration
Value and the visitation frequency and it is described access duration corresponding normpdf predetermined probabilities threshold
Value judges the preference of the network access of the mobile terminal.The present embodiment is living by the network to mobile subscriber in statistical sample
Dynamic visitation frequency and access duration, are accurately judged to the preference that mobile subscriber uses mobile terminal network visiting, preferably for
Mobile subscriber provides personalized service.
Embodiment three
Fig. 3 is the structural schematic diagram of the device of the Internet data analysis for the mobile terminal that the embodiment of the present invention three provides, such as
Shown in Fig. 3, which includes: acquisition categorization module 310 and Statistic analysis module 320.
Wherein, categorization module 310 is acquired, for acquiring mobile terminal in statistical sample in the Internet data of mobile network,
Classify to interest tags belonging to the Internet data；
Statistic analysis module 320, for calculating normal distribution probability of the Internet data based on the interest tags
Density function judges the preference of the network access of the mobile terminal according to the normpdf.
The technical solution of the present embodiment is by mobile terminal in the acquisition acquisition statistical sample of categorization module 310 in mobile network
Internet data, classify to interest tags belonging to the Internet data；It is calculated by Statistic analysis module 320 described
Normpdf of the Internet data based on the interest tags, sentences according to the normpdf
The preference that the network of the mobile terminal that breaks accesses.The technical solution of the present embodiment provides a kind of online based on mobile terminal
The device of data analysis is capable of the preference of the network access of accurate judgement mobile subscriber using the Internet data of mobile subscriber, is
Mobile subscriber provides personalized service.
Fig. 4 is the structural schematic diagram of the device of the Internet data analysis for the mobile terminal that the embodiment of the present invention three provides, such as
Shown in Fig. 4, the device of the Internet data of mobile terminal analysis can also include: interest tags library building module 330, for according to
Interest tags belonging to the subject classification building mobile application and uniform resource locator of mobile application and uniform resource locator
Library.
Further, categorization module 310 is acquired, passes through mobile network specifically for acquiring mobile terminal in the set time period
Network access mobile application and uniform resource locator Internet data, to the Internet data according to affiliated interest tags library into
Row classification.
Further, Statistic analysis module 320 further include: data statistics unit, function calculating unit and preference judgement are single
Member.
Data statistics unit, for be based on the Internet data, statistics in the set time period the mobile terminal to each
The visitation frequency and access duration of class interest tags.
Function calculating unit, for counting the visit of the mobile terminal to all kinds of interest tags in the set time period
The average and standard deviation for asking the frequency and the access duration calculates separately the normal state of the visitation frequency and the access duration
Distribution probability density function.
Preference judging unit, for according to the mobile terminal to all kinds of interest tags the visitation frequency and the visit
Ask the preset threshold and the corresponding normal distribution probability density letter of the visitation frequency and access duration institute of duration
Several predetermined probabilities threshold values judges the preference of the network access of the mobile terminal.
Any embodiment of that present invention can be performed in the device of the Internet data analysis of mobile terminal provided in an embodiment of the present invention
Provided method has the corresponding functional module of execution method and beneficial effect.
Example IV
Fig. 5 is a kind of structural schematic diagram for computer equipment that the embodiment of the present invention four provides.Fig. 5, which is shown, to be suitable for being used to
Realize the block diagram of the example devices 12 of embodiment of the present invention.The equipment 12 that Fig. 5 is shown is only an example, should not be to this
The function and use scope of inventive embodiments bring any restrictions.
As shown in figure 5, equipment 12 is showed in the form of universal computing device.The component of equipment 12 may include but unlimited
In one or more processor or processing unit 16, system storage 28, connecting different system components, (including system is deposited
Reservoir 28 and processing unit 16) bus 18.
Bus 18 indicates one of a few class bus structures or a variety of, including memory bus or Memory Controller,
Peripheral bus, graphics acceleration port, processor or the local bus using any bus structures in a variety of bus structures.It lifts
For example, these architectures include but is not limited to industry standard architecture (ISA) bus, microchannel architecture (MAC)
Bus, enhanced isa bus, Video Electronics Standards Association (VESA) local bus and peripheral component interconnection (PCI) bus.
Equipment 12 typically comprises a variety of computer system readable media.These media can be it is any can be by equipment 12
The usable medium of access, including volatile and non-volatile media, moveable and immovable medium.
System storage 28 may include the computer system readable media of form of volatile memory, such as arbitrary access
Memory (RAM) 30 and/or cache memory 32.Equipment 12 may further include it is other it is removable/nonremovable,
Volatile/non-volatile computer system storage medium.Only as an example, storage system 34 can be used for reading and writing irremovable
, non-volatile magnetic media (Fig. 5 do not show, commonly referred to as " hard disk drive ").Although being not shown in Fig. 5, use can be provided
In the disc driver read and write to removable non-volatile magnetic disk (such as " floppy disk "), and to removable anonvolatile optical disk
The CD drive of (such as CD-ROM, DVD-ROM or other optical mediums) read-write.In these cases, each driver can
To be connected by one or more data media interfaces with bus 18.Memory 28 may include at least one program product,
The program product has one group of (for example, at least one) program module, these program modules are configured to perform each implementation of the invention
The function of example.
Program/utility 40 with one group of (at least one) program module 42 can store in such as memory 28
In, such program module 42 includes --- but being not limited to --- operating system, one or more application program, other programs
It may include the realization of network environment in module and program data, each of these examples or certain combination.Program mould
Block 42 usually executes function and/or method in embodiment described in the invention.
Equipment 12 can also be communicated with one or more external equipments 14 (such as keyboard, sensing equipment, display 24 etc.),
Can also be enabled a user to one or more equipment interacted with the equipment 12 communication, and/or with enable the equipment 12 with
One or more of the other any equipment (such as network interface card, modem etc.) communication for calculating equipment and being communicated.It is this logical
Letter can be carried out by input/output (I/O) interface 22.Also, equipment 12 can also by network adapter 20 and one or
The multiple networks of person (such as local area network (LAN), wide area network (WAN) and/or public network, such as internet) communication.As shown,
Network adapter 20 is communicated by bus 18 with other modules of equipment 12.It should be understood that although being not shown in Fig. 5, Ke Yijie
It closes equipment 12 and uses other hardware and/or software module, including but not limited to: microcode, device driver, redundancy processing are single
Member, external disk drive array, RAID system, tape drive and data backup storage system etc..
Processing unit 16 by the program that is stored in system storage 28 of operation, thereby executing various function application and
Data processing, such as the method for realizing the Internet data analysis of mobile terminal provided by the embodiment of the present invention:
That is, the processing unit is realized when executing described program:
Acquire statistical sample in mobile terminal mobile network Internet data, to interest mark belonging to the Internet data
Label are classified；Normpdf of the Internet data based on the interest tags is calculated, according to described
Normpdf judges the preference of the network access of the mobile terminal.
Embodiment five
The embodiment of the present invention five provides a kind of computer readable storage medium, is stored thereon with computer program, the journey
The method of the Internet data analysis of the mobile terminal provided such as all inventive embodiments of the application is provided when sequence is executed by processor:
That is, realization when the program is executed by processor: online of the mobile terminal in mobile network in acquisition statistical sample
Data classify to interest tags belonging to the Internet data；It calculates the Internet data and is based on the interest tags
Normpdf, according to the normpdf judge the mobile terminal network access
Preference.
The embodiment of the present invention five provides a kind of computer readable storage medium can using one or more computers
Any combination of the medium of reading.Computer-readable medium can be computer-readable signal media or computer-readable storage medium
Matter.Computer readable storage medium for example may be-but not limited to-electricity, magnetic, optical, electromagnetic, infrared ray or semiconductor
System, device or device, or any above combination.The more specific example of computer readable storage medium is (non exhaustive
List) include: electrical connection with one or more conducting wires, portable computer diskette, hard disk, random access memory
(RAM), read-only memory (ROM), erasable programmable read only memory (EPROM or flash memory), optical fiber, portable compact disc
Read-only memory (CD-ROM), light storage device, magnetic memory device or above-mentioned any appropriate combination.In this document,
Computer readable storage medium can be any tangible medium for including or store program, which can be commanded and execute system
System, device or device use or in connection.
Computer-readable signal media may include in a base band or as carrier wave a part propagate data-signal,
Wherein carry computer-readable program code.The data-signal of this propagation can take various forms, including --- but
It is not limited to --- electromagnetic signal, optical signal or above-mentioned any appropriate combination.Computer-readable signal media can also be
Any computer-readable medium other than computer readable storage medium, which can send, propagate or
Transmission is for by the use of instruction execution system, device or device or program in connection.
The program code for including on computer-readable medium can transmit with any suitable medium, including --- but it is unlimited
In --- wireless, electric wire, optical cable, RF etc. or above-mentioned any appropriate combination.
The computer for executing operation of the present invention can be write with one or more programming languages or combinations thereof
Program code, described program design language include object oriented program language-such as Java, Smalltalk, C++,
It further include conventional procedural programming language-such as " C " language or similar programming language.Program code can be with
It fully executes, partly execute on the user computer on the user computer, being executed as an independent software package, portion
Divide and partially executes or executed on a remote computer or server completely on the remote computer on the user computer.?
Be related in the situation of remote computer, remote computer can pass through the network of any kind --- including local area network (LAN) or
Wide area network (WAN)-be connected to subscriber computer, or, it may be connected to outer computer (such as mentioned using Internet service
It is connected for quotient by internet).
Note that the above is only a better embodiment of the present invention and the applied technical principle.It will be appreciated by those skilled in the art that
The invention is not limited to the specific embodiments described herein, be able to carry out for a person skilled in the art it is various it is apparent variation,
It readjusts and substitutes without departing from protection scope of the present invention.Therefore, although being carried out by above embodiments to the present invention
It is described in further detail, but the present invention is not limited to the above embodiments only, without departing from the inventive concept, also
It may include more other equivalent embodiments, and the scope of the invention is determined by the scope of the appended claims.
Claims (10)
1. the method that the Internet data of mobile terminal is analyzed characterized by comprising
Acquire statistical sample in mobile terminal mobile network Internet data, to interest tags belonging to the Internet data into
Row classification；
Normpdf of the Internet data based on the interest tags is calculated, according to the normal distribution
Probability density function judges the preference of the network access of the mobile terminal.
2. the method according to claim 1, wherein calculating the Internet data based on the interest tags
Normpdf judges the network access of the mobile terminal according to the normpdf
Preference, comprising:
Based on the Internet data, statistics in the set time period the mobile terminal to the visitation frequencies of all kinds of interest tags and
Access duration.
3. according to the method described in claim 2, it is characterized in that, calculating the Internet data based on the interest tags
Normpdf judges the network access of the mobile terminal according to the normpdf
Preference, further includes:
Count the visitation frequency and the access duration of the mobile terminal to all kinds of interest tags in the set time period
Average and standard deviation, calculate separately the visitation frequency and it is described access duration normpdf.
4. according to the method described in claim 3, it is characterized in that, calculating the Internet data based on the interest tags
Normpdf judges the network access of the mobile terminal according to the normpdf
Preference, further includes:
According to the mobile terminal to the visitation frequency of all kinds of interest tags and the preset threshold of the access duration, and
The visitation frequency and it is described access duration institute corresponding normpdf predetermined probabilities threshold value, judge
The preference of the network access of the mobile terminal.
5. the method according to claim 1, wherein mobile terminal is in mobile network in the acquisition statistical sample
Internet data, before classifying to interest tags belonging to the Internet data, further includes:
Mobile application and uniform resource locator institute are constructed according to the subject classification of mobile applications and uniform resource locator
The interest tags library of category；
In the acquisition statistical sample mobile terminal mobile network Internet data, to interest mark belonging to the Internet data
Label are classified, specifically:
Mobile terminal passes through mobile network's access mobile applications and uniform resource locator in the set time period for acquisition
Internet data classifies to the Internet data according to affiliated interest tags library.
6. the device that the Internet data of mobile terminal is analyzed characterized by comprising
Categorization module is acquired, for acquiring mobile terminal in statistical sample in the Internet data of mobile network, to the upper netting index
Classify according to affiliated interest tags；
Statistic analysis module, for calculating normal distribution probability density letter of the Internet data based on the interest tags
Number judges the preference of the network access of the mobile terminal according to the normpdf.
7. device according to claim 6, which is characterized in that the Statistic analysis module, comprising:
Function calculating unit, for counting the mobile terminal in the set time period to the access frequency of all kinds of interest tags
The average and standard deviation of the secondary and described access duration calculates separately the normal distribution of the visitation frequency and the access duration
Probability density function.
8. device according to claim 7, which is characterized in that the Statistic analysis module, further includes:
Preference judging unit, when for according to the mobile terminal to the visitation frequency and the access of all kinds of interest tags
Long preset threshold and the visitation frequency and the access duration corresponding normpdf
Predetermined probabilities threshold value judges the preference of the network access of the mobile terminal.
9. a kind of computer equipment including memory, processor and stores the meter that can be run on a memory and on a processor
Calculation machine program, which is characterized in that the processor realizes such as side as claimed in any one of claims 1 to 5 when executing described program
Method.
10. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the program is by processor
Such as method as claimed in any one of claims 1 to 5 is realized when execution.
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| CN201811030041.XA CN109145217A (en) | 2018-09-05 | 2018-09-05 | Method, apparatus, equipment and the storage medium of the Internet data analysis of mobile terminal |
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| CN201811030041.XA CN109145217A (en) | 2018-09-05 | 2018-09-05 | Method, apparatus, equipment and the storage medium of the Internet data analysis of mobile terminal |
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