CN108011976A - A kind of recognition methods of access terminals model and computer equipment - Google Patents

A kind of recognition methods of access terminals model and computer equipment Download PDF

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Publication number
CN108011976A
CN108011976A CN201711428814.5A CN201711428814A CN108011976A CN 108011976 A CN108011976 A CN 108011976A CN 201711428814 A CN201711428814 A CN 201711428814A CN 108011976 A CN108011976 A CN 108011976A
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Prior art keywords
model
species
terminal models
counted
phone number
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CN201711428814.5A
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CN108011976B (en
Inventor
何金狮
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Fujian Star Software Co Ltd
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Fujian Star Software Co Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/14—Network analysis or design
    • H04L41/142—Network analysis or design using statistical or mathematical methods
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L69/00—Network arrangements, protocols or services independent of the application payload and not provided for in the other groups of this subclass
    • H04L69/03—Protocol definition or specification 
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L69/00—Network arrangements, protocols or services independent of the application payload and not provided for in the other groups of this subclass
    • H04L69/22—Parsing or analysis of headers

Abstract

The present invention provides a kind of recognition methods of access terminals model, count all UA species that same phone number occurs in some cycles, all UA species occurred in the cycle are analyzed, different terminal models are obtained, take the most terminal models of occurrence number as final access terminals model.The present invention draws final terminal models by carrying out probability statistics to the different application of same Mobile phone, greatly improves the accuracy rate of terminal models, data supporting is provided for carrier market operation.

Description

A kind of recognition methods of access terminals model and computer equipment
Technical field
The present invention relates to the computer equipment of recognition methods and the executable recognition methods of a kind of access terminals model.
Background technology
Terminal recognition technology is studied, can preferably support operator targetedly to carry out value-added service service, can prop up The location technology and flow bootstrap technique of different terminals type are supportted, data supporting is provided for the market operation of operator.It is existing Terminal analysis system be by User-Agent (hereinafter referred to as UA) field analysis in HTTP request, extracting terminal models, Since UA might not ensure to provide accurate terminal models in itself, cause final recognition accuracy relatively low.For this we A kind of method for improving terminal recognition accuracy rate is proposed on the basis of User-Agent.
The content of the invention
The technical problem to be solved in the present invention, is to provide a kind of recognition methods of access terminals model, by same The different application of money mobile phone carries out probability statistics and draws final terminal models, greatly improves the accuracy rate of terminal models, Data supporting is provided for carrier market operation.
What the method for the present invention was realized in：A kind of recognition methods of access terminals model, counts same phone number All UA species occurred in some cycles, analyze all UA species occurred in the cycle, obtain difference Terminal models, take the most terminal models of occurrence number as final access terminals model.
Further, the method for the present invention specifically includes：
Step S1, the regularity storehouse pre-established is imported；
Step S2, UA data are read, canonical matching is carried out, draws terminal models；
Step S3, first it is standardized, obtains standard model；Here standardization refers to, even if same The model matched in the different UA of model may have fine distinction, be mainly manifested in capital and small letter, space, and underscore differs Cause, it is therefore desirable to these models are standardized to obtain the model of a standard；
Step S4, cell-phone number and UA, and UA and the mapping table of standard model are established；
When step S5, reaching measurement period, the corresponding UA species of same cell-phone number is counted, is united in these different UA The standard model frequency occurred is counted, takes the highest standard model of the frequency of occurrences as final model.
In addition, the technical problem to be solved in the present invention, also resides in and provides a kind of computer equipment, including memory, processing On a memory and the computer program that can run on a processor, when processor execution described program, is realized for device and storage Following methods：
All UA species that same phone number occurs in some cycles are counted, it is all to what is occurred in the cycle UA species analyzed, obtain different terminal models, take the most terminal models of occurrence number whole as final online Hold model.
The processor implements following steps when performing described program：
Step S1, the regularity storehouse pre-established is imported；
Step S2, UA data are read, canonical matching is carried out, draws terminal models；
Step S3, first it is standardized, obtains standard model；
Step S4, cell-phone number and UA, and UA and the mapping table of standard model are established；
When step S5, reaching measurement period, the corresponding UA species of same cell-phone number is counted, is united in these different UA The standard model frequency occurred is counted, takes the highest standard model of the frequency of occurrences as final model.
The invention has the advantages that：Although terminal applies can cause terminal models not unique, greatly with self-defined UA The terminal models carried in certain applications UA are correct, and based on this, present invention employs the mode of probability statistics, statistics are same All UA species that a phone number occurs in some cycles, same UA correspond to same application, and different UA is just corresponded to Different applications, formula analyze these UA species and obtain different terminal models, take the terminal models conduct that occurrence number is most Final model.Although the UA of some applications is probably tampered, the probability and all usurped that UA is tampered in practical application Make that the probability of same model is relatively low into, thus occurrence number it is most the correct probability of model it is just higher so that greatly The accuracy rate of terminal models is improved, data supporting is provided for carrier market operation.
Brief description of the drawings
The present invention is further illustrated in conjunction with the embodiments with reference to the accompanying drawings.
Fig. 1 is the method for the present invention execution flow chart.
Fig. 2 is cell-phone number and UA in the method for the present invention, and a specific implementation of the mapping table of UA and standard model The structure chart of example.
Embodiment
The recognition methods of the access terminals model of the present invention, is the terminal attributive information based on institute's band in user UA, passes through Different application progress probability statistics to same Mobile phone draw final terminal models, greatly improve the standard of terminal models True rate.
As shown in Figure 1, the recognition methods of the access terminals model of the present invention is：Same phone number is counted in certain week All UA species occurred in phase, analyze all UA species occurred in the cycle, obtain different terminal types Number, the most terminal models of occurrence number are taken as final access terminals model.
Specifically include following step：
Step S1, the regularity storehouse pre-established is imported；
Step S2, UA data are read, canonical matching is carried out, draws terminal models；
Step S3, first it is standardized, obtains standard model；
Step S4, cell-phone number and UA, and UA and the mapping table of standard model are established, as shown in Figure 2；
When step S5, reaching measurement period, the corresponding UA species of same cell-phone number is counted, is united in these different UA The standard model frequency occurred is counted, takes the highest standard model of the frequency of occurrences as final model.
In addition, the present invention also provides a kind of computer equipment, including memory, processor and storage are on a memory and can The computer program run on a processor, the processor realize following methods when performing described program：
All UA species that same phone number occurs in some cycles are counted, it is all to what is occurred in the cycle UA species analyzed, obtain different terminal models, take the most terminal models of occurrence number whole as final online Hold model.
The processor implements following steps when performing described program：
Step S1, the regularity storehouse pre-established is imported；
Step S2, UA data are read, canonical matching is carried out, draws terminal models；
Step S3, first it is standardized, obtains standard model；Here standardization refers to, even if same The model matched in the different UA of model may have fine distinction, be mainly manifested in capital and small letter, space, and underscore differs Cause, it is therefore desirable to these models are standardized to obtain the model of a standard；
Step S4, cell-phone number and UA, and UA and the mapping table of standard model are established；
When step S5, reaching measurement period, the corresponding UA species of same cell-phone number is counted, is united in these different UA The standard model frequency occurred is counted, takes the highest standard model of the frequency of occurrences as final model.
Although the foregoing describing the embodiment of the present invention, those familiar with the art should manage Solution, we are merely exemplary described specific embodiment, rather than for the restriction to the scope of the present invention, are familiar with this The equivalent modification and change that the technical staff in field is made in the spirit according to the present invention, should all cover the present invention's In scope of the claimed protection.

Claims (4)

  1. A kind of 1. recognition methods of access terminals model, it is characterised in that：Same phone number is counted in some cycles to go out Existing all UA species, analyze all UA species occurred in the cycle, obtain different terminal models, take out The most terminal models of occurrence number are as final access terminals model.
  2. A kind of 2. recognition methods of access terminals model according to claim 1, it is characterised in that：Specifically include：
    Step S1, the regularity storehouse pre-established is imported；
    Step S2, UA data are read, canonical matching is carried out, draws terminal models；
    Step S3, it is standardized, obtains the standard model of terminal；
    Step S4, cell-phone number and UA, and UA and the mapping table of standard model are established；
    When step S5, reaching measurement period, the corresponding UA species of same cell-phone number is counted, is counted in these different UA Existing standard model frequency, takes the highest standard model of the frequency of occurrences as final model.
  3. 3. a kind of computer equipment, including memory, processor and storage are on a memory and the meter that can run on a processor Calculation machine program, it is characterised in that the processor realizes following methods when performing described program：
    All UA species that same phone number occurs in some cycles are counted, to all UA occurred in the cycle Species is analyzed, and obtains different terminal models, takes the most terminal models of occurrence number as final access terminals type Number.
  4. A kind of 4. computer equipment according to claim 1, it is characterised in that：The processor has when performing described program Body realizes following steps：
    Step S1, the regularity storehouse pre-established is imported；
    Step S2, UA data are read, canonical matching is carried out, draws terminal models；
    Step S3, first it is standardized, obtains standard model；
    Step S4, cell-phone number and UA, and UA and the mapping table of standard model are established；
    When step S5, reaching measurement period, the corresponding UA species of same cell-phone number is counted, is counted in these different UA Existing standard model frequency, takes the highest standard model of the frequency of occurrences as final model.
CN201711428814.5A 2017-12-26 2017-12-26 Internet access terminal model identification method and computer equipment Active CN108011976B (en)

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CN109905292A (en) * 2019-03-12 2019-06-18 北京奇虎科技有限公司 A kind of terminal device recognition methods, system and storage medium
CN109933598A (en) * 2019-03-12 2019-06-25 北京奇虎科技有限公司 A kind of data base processing method, system and storage medium
CN109951354A (en) * 2019-03-12 2019-06-28 北京奇虎科技有限公司 A kind of terminal device recognition methods, system and storage medium
CN111147321A (en) * 2019-12-04 2020-05-12 北京奇虎科技有限公司 Information processing method, device, equipment and computer storage medium
CN111181921A (en) * 2019-12-04 2020-05-19 北京奇虎科技有限公司 Information management method, device, equipment and computer storage medium
CN111382185A (en) * 2018-12-28 2020-07-07 无锡赫名网络技术有限公司 Method for counting and applying mobile phone numbers by adopting partition positioning

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CN111382185A (en) * 2018-12-28 2020-07-07 无锡赫名网络技术有限公司 Method for counting and applying mobile phone numbers by adopting partition positioning
CN111382185B (en) * 2018-12-28 2024-01-26 无锡赫名网络技术有限公司 Method for counting and applying mobile phone numbers by adopting partition positioning
CN109905292A (en) * 2019-03-12 2019-06-18 北京奇虎科技有限公司 A kind of terminal device recognition methods, system and storage medium
CN109933598A (en) * 2019-03-12 2019-06-25 北京奇虎科技有限公司 A kind of data base processing method, system and storage medium
CN109951354A (en) * 2019-03-12 2019-06-28 北京奇虎科技有限公司 A kind of terminal device recognition methods, system and storage medium
CN111147321A (en) * 2019-12-04 2020-05-12 北京奇虎科技有限公司 Information processing method, device, equipment and computer storage medium
CN111181921A (en) * 2019-12-04 2020-05-19 北京奇虎科技有限公司 Information management method, device, equipment and computer storage medium
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