CN109977302A - The method of user's portrait acquisition of information - Google Patents

The method of user's portrait acquisition of information Download PDF

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Publication number
CN109977302A
CN109977302A CN201910165426.5A CN201910165426A CN109977302A CN 109977302 A CN109977302 A CN 109977302A CN 201910165426 A CN201910165426 A CN 201910165426A CN 109977302 A CN109977302 A CN 109977302A
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China
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user
information
portrait
extraction
acquisition
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CN201910165426.5A
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Chinese (zh)
Inventor
黄建文
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Guangzhou Halcyon Technology Co Ltd
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Guangzhou Halcyon Technology Co Ltd
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Priority to CN201910165426.5A priority Critical patent/CN109977302A/en
Publication of CN109977302A publication Critical patent/CN109977302A/en
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Abstract

The invention discloses a kind of methods of user portrait acquisition of information, comprising: A) collect user information;B desensitization process) is carried out to user information, executes C) or C');C) according to the corresponding recommendation information of information extraction after desensitization process, D is executed);D) judge whether the recommendation information extracted uses, if so, executing E) or F);Otherwise, G is executed);E cloud data processing) is carried out to the recommendation information of extraction, executes F);F the recommendation information of extraction) is recommended into the similar crowd of feature;G) data extraction algorithm is optimized, executes C');C' feature extraction) is carried out to the information after desensitization process, executes D');D' user's recommendation information) is formed, E' is executed);E' user's recommendation information) is recommended user to use, returns to A).User that the present invention obtains draws a portrait, and information is relatively abundanter, can accurately carry out user object service, the effective rate of utilization of information is higher.

Description

The method of user's portrait acquisition of information
Technical field
The present invention relates to network technique field, in particular to a kind of method of user's portrait acquisition of information.
Background technique
Currently, Website server mainly selects exhibition by extracting the history online behavioural information of user for user individual The content shown.For example, when user accesses certain website, logged in using the account of registration, Website server is according to the account of user User is inquired in the history online behavioural information of this website, is user individual exhibition based on the history online behavioural information inquired Show web site contents.Here, the user that the history online behavioural information of user can be referred to as reflection user's internet behavior feature draws As information.
The existing technology has at least the following problems: on the one hand, the user's portrait information obtained at present is relatively simple, especially right Acquisition of information between rete mirabile is less;On the other hand, obtaining user's portrait information not can be carried out accurately user object service, believe The effective rate of utilization of breath is poor.
Summary of the invention
The technical problem to be solved in the present invention is that in view of the above drawbacks of the prior art, providing a kind of user of acquisition Portrait information is relatively abundanter, can accurately carry out user object service, the higher user's portrait information of the effective rate of utilization of information The method of acquisition.
The technical solution adopted by the present invention to solve the technical problems is: constructing a kind of side of user's portrait acquisition of information Method is applied to user's portrait Information Acquisition System, includes the following steps:
A user information) is collected;
B desensitization process) is carried out to the user information, executes step C) or C');
C) according to the corresponding recommendation information of information extraction after desensitization process, step D is executed);
D) judge whether the recommendation information extracted uses, if so, executing step E) or step F);Otherwise, step is executed Rapid G);
E cloud data processing) is carried out to the recommendation information of extraction, executes step F);
F the recommendation information of extraction) is recommended into the similar crowd of feature;
G) data extraction algorithm is optimized, executes step C');
C' feature extraction) is carried out to the information after the desensitization process, executes step D');
D' user's recommendation information) is formed, step E' is executed);
E' user's recommendation information) is recommended user to use, return step A).
In the method that user of the present invention draws a portrait acquisition of information, the step A) further comprise:
A1 this network users portrait information) is obtained;
A2 rete mirabile user portrait information) is obtained.
In the method that user of the present invention draws a portrait acquisition of information, the step A1) further include:
A11 target user's feature, product policy and sales promotion words art) are implanted into user's portrait acquisition of information system System;
A12) user's portrait Information Acquisition System is drawn a portrait by the customer consumption situation that big data carries out analysis generation.
In the method that user of the present invention draws a portrait acquisition of information, the step A2) further comprise:
A21 the cohesion index for) calculating this network users Yu rete mirabile customer relationship filters out high parent using cohesion relationship User's detail of density;
A22 the contact method for) excavating rete mirabile user, using the rete mirabile user high with the Home Network degree of association as target user.
In the method that user of the present invention draws a portrait acquisition of information, the user draws a portrait Information Acquisition System including using Family image information obtains module, user's image information obtain module extracted for realizing data desensitization process, data characteristics, To user's recommendation information and to field feedback.
The method for implementing user's portrait acquisition of information of the invention, has the advantages that due to collecting user information; Desensitization process is carried out to user information;According to the corresponding recommendation information of information extraction after desensitization process;By the recommendation of extraction Breath recommends the similar crowd of feature;It recommends user according to user's recommendation information to use, the user of acquisition draws a portrait information can essence Standard utilizes, and can also obtain rete mirabile user information, thus the user that obtains of the present invention draw a portrait information it is relatively abundanter, can accurately into The service of row user object, the effective rate of utilization of information are higher.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with It obtains other drawings based on these drawings.
Fig. 1 is a flow chart in method one embodiment of user of the present invention portrait acquisition of information;
Fig. 2 is another flow chart of the method for user's portrait acquisition of information in the embodiment;
Fig. 3 is the specific flow chart that user information is collected in the embodiment;
Fig. 4 is the specific flow chart that this network users portrait information is obtained in the embodiment;
Fig. 5 is the specific flow chart that rete mirabile user portrait information is obtained in the embodiment;
Fig. 6 is the schematic diagram for obtaining user's portrait information of user's portrait data obtaining module in the embodiment.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other Embodiment shall fall within the protection scope of the present invention.
In the embodiment of the method that user of the present invention draws a portrait acquisition of information, the method for user portrait acquisition of information is applied to User's portrait Information Acquisition System, a flow chart of the method for user portrait acquisition of information is as shown in Figure 1, another process Figure is as shown in Figure 2.As depicted in figs. 1 and 2, the method for user portrait acquisition of information includes the following steps:
Step S01 collects user information: in this step, collecting user information.
In mobile communication interacted system, user, which draws a portrait, refers to the set of all information labels of single user, that is, passes through receipts The main informations such as collection and the ascribed characteristics of population, social interaction, the Behavior preference of analysis user, all labels of user are integrated, Sketch the contours of the global feature and profile of the user.Such as the age of user, gender, affiliated industry, common network, used terminal, industry Be engaged in classification, using the various dimensions association analysis such as time and position, scene, form user's comprehensive characteristics portrait, the battalion such as sell, maintain Pin scheme then carries out target area, user's selection according to demand, and it is program decisions that refined user group, which provides conductive suggestion, Foundation is provided.
Mass data obtained by mobile operator can have comprehensive network management, network optimization platform (core by network side OSS domain It is heart net, wireless), network acquires data, then is subject to the billing system/accounting system of the side BSS, obtains through the channels such as subsystem and ticket library.Pass through The massive information (user information) of acquisition carries out big data analysis, makes targetedly marketing program later.
Step S02 carries out desensitization process to user information: in this step, desensitization process is carried out to user information, particularly as It is the deformation for carrying out data by desensitization rule to the sensitive information in user information, realizes the reliable guarantor of privacy-sensitive data It protects, desensitization method in the prior art is used in the present embodiment, naturally it is also possible to use new desensitization method.This step is executed Suddenly, step S03 or step S03' is executed.
Step S03 is according to the corresponding recommendation information of information extraction after desensitization process: in this step, user's portrait information is obtained Take system according to the corresponding recommendation information of information extraction after desensitization process.This step has been executed, step S04 is executed.
Step S04 judges whether the recommendation information extracted uses: in this step, judging whether the recommendation information extracted makes With, if it is determined that result be it is yes, then follow the steps S05 or directly execute step S06;Otherwise, step S07 is executed.
Step S05 carries out cloud data processing to the recommendation information of extraction: in this step, carrying out to the recommendation information of extraction Cloud data processing.This step has been executed, step S06 is executed.
The recommendation information of extraction is recommended the similar crowd of feature by step S06: in this step, the recommendation information of extraction being pushed away Recommend crowd similar to feature.
Step S07 optimizes data extraction algorithm: in this step, optimizing processing to data extraction algorithm, holds It has gone this step, has executed step S03'.
Step S03' to after desensitization process information carry out feature extraction: in this step, to the information after desensitization process into Row feature extraction has executed this step, executes step S04'.
Step S04' forms user's recommendation information: in this step, forming user's recommendation information, has executed this step, executes Step S05'.
User's recommendation information is recommended user and used by step S05': in this step, user's recommendation information being recommended use Family uses, and has executed this step, return step S01.User's portrait information that the present invention obtains can be utilized precisely, can also be obtained Take rete mirabile user information, therefore the user that obtains of the present invention draws a portrait that information is relatively abundanter, can accurately carry out user object service, The effective rate of utilization of information is higher.
For the present embodiment, above-mentioned steps S01 can also be refined further, and the flow chart after refinement is as shown in Figure 3. In Fig. 3, step S01 further comprises following steps:
Step S11 obtains this network users portrait information: in this step, obtaining this network users portrait information, user is drawn a portrait Information is precisely utilized.
Step S12 obtains rete mirabile user portrait information: in this step, obtaining rete mirabile user portrait information, rete mirabile user draws As the acquisition methods of information include that user often analyzes application with business tine;Use terrain analysis;Flow analysis;And particular field The analysis of scape usage behavior.
For the present embodiment, above-mentioned steps S11 can also be refined further, and the flow chart after refinement is as shown in Figure 4. In Fig. 4, step S11 further includes following steps:
Target user's feature, product policy and sales promotion words art are implanted into user's portrait acquisition of information system by step S111 System: in this step, by target user's feature, product policy and sales promotion words art implantation user's portrait Information Acquisition System.
Step S112 user portrait Information Acquisition System is drawn a portrait by the customer consumption situation that big data carries out analysis generation: In this step, the customer consumption situation " portrait " that user's portrait Information Acquisition System is generated by big data analysis, search meets The sales tactics of user characteristics.If foreground sales force is during regular traffic is handled, when inputting Subscriber Number, user's portrait Information Acquisition System automatically analyzes client's consumption feature and adaptation policy, clearly shows individual subscriber consumption row using pop-up mode To talk about art with recommended products and marketing, business personnel directly can carry out promotion to user by this interface information, marketing activity be melted Enter to during every business handling, and in business hall, social channel, VIP customer manager, group/Business Account Manager, net Lattice manager etc. can apply.
For the present embodiment, above-mentioned steps S12 can also be refined further, and the flow chart after refinement is as shown in Figure 5. In Fig. 5, step S12 further comprises following steps:
Step S121 calculates this network users and the cohesion index of rete mirabile customer relationship is filtered out using cohesion relationship User's detail of high cohesion: in this step, the cohesion index of this network users Yu rete mirabile customer relationship is calculated, cohesion is utilized Relationship filters out user's detail of high cohesion, specifically, the step realizes the customer analysis application of user's cohesion rete mirabile. Under normal circumstances, it between relatively intimate between kinsfolk, between colleague, between close friend etc. the or frequent user of connection, is communicating Aspect has frequent phenomenon of conversing.By user's calling and called ticket big data analysis, user speech call frequency is obtained, with this Calculating local China Unicom user, (0~10 numerical value is bigger, and cohesion is got over his cohesion index Q1, Q2 of network users relationship It is high).Index is broadly divided into two classes: a kind of to be actively concerned about other people cohesions, one is by care cohesion.It is closed using this cohesion System, filters out user's detail of high cohesion, and carrying out targeted marketing activity to rete mirabile user, (such as wisdom irrigates family, emotional affection Preferential set meal is recommended etc.), not only can ownership, but also save communications cost for user.
Step S122 excavates the contact method of rete mirabile user, uses the rete mirabile user high with the Home Network degree of association as target Family: in this step, the contact method of rete mirabile user is excavated, using the rete mirabile user high with the Home Network degree of association as target user.Tool For body, this step realizes that rete mirabile user contact details excavate application.It, can since rete mirabile subscriber data is not at this end in database With from the stayed contact method of user, contact in more data and excavate with this network users.Compared with Home Network marketing, rete mirabile battalion Pin not only by choosing target user with Home Network user speech call volume, also analyzes the range of age, circle of friends, industry of this network users Business circle is the factors such as the phone number of rete mirabile using type, internet behavior, broadband telephone number, and excavation is high with the Home Network degree of association Rete mirabile user as target customer, take specific aim to market.
In the present embodiment, user's portrait Information Acquisition System includes that user's image information obtains module, user's picture letter The schematic diagram that breath obtains module is as shown in Figure 6.User's image information obtains module for realizing data desensitization process, data characteristics It extracts, to user's recommendation information and to field feedback.
In short, the user that the present invention obtains draws a portrait, information can be utilized precisely, can also obtain rete mirabile user information, therefore User that the present invention obtains draw a portrait information is relatively abundanter, can accurately carry out user object service, the effective rate of utilization of information compared with It is high.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all in essence of the invention Within mind and principle, any modification, equivalent replacement, improvement and so on be should all be included in the protection scope of the present invention.

Claims (5)

  1. A kind of method of acquisition of information 1. user draws a portrait, which is characterized in that be applied to user's portrait Information Acquisition System, including such as Lower step:
    A user information) is collected;
    B desensitization process) is carried out to the user information, executes step C) or C');
    C) according to the corresponding recommendation information of information extraction after desensitization process, step D is executed);
    D) judge whether the recommendation information extracted uses, if so, executing step E) or step F);Otherwise, step G is executed);
    E cloud data processing) is carried out to the recommendation information of extraction, executes step F);
    F the recommendation information of extraction) is recommended into the similar crowd of feature;
    G) data extraction algorithm is optimized, executes step C');
    C' feature extraction) is carried out to the information after the desensitization process, executes step D');
    D' user's recommendation information) is formed, step E' is executed);
    E' user's recommendation information) is recommended user to use, return step A).
  2. The method of acquisition of information 2. user according to claim 1 draws a portrait, which is characterized in that the step A) further wrap It includes:
    A1 this network users portrait information) is obtained;
    A2 rete mirabile user portrait information) is obtained.
  3. The method of acquisition of information 3. user according to claim 2 draws a portrait, which is characterized in that the step A1) further include:
    A11 target user's feature, product policy and sales promotion words art) are implanted into user's portrait Information Acquisition System;
    A12) user's portrait Information Acquisition System is drawn a portrait by the customer consumption situation that big data carries out analysis generation.
  4. The method of acquisition of information 4. user according to claim 2 draws a portrait, which is characterized in that the step A2) further Include:
    A21 the cohesion index for) calculating this network users Yu rete mirabile customer relationship filters out high cohesion using cohesion relationship User's detail;
    A22 the contact method for) excavating rete mirabile user, using the rete mirabile user high with the Home Network degree of association as target user.
  5. The method of acquisition of information 5. user according to any one of claims 1 to 4 draws a portrait, which is characterized in that the use Family portrait Information Acquisition System includes that user's image information obtains module, and user's image information obtains module for realizing number It extracts, according to desensitization process, data characteristics to user's recommendation information and to field feedback.
CN201910165426.5A 2019-03-05 2019-03-05 The method of user's portrait acquisition of information Pending CN109977302A (en)

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Publication number Priority date Publication date Assignee Title
CN115357938A (en) * 2022-09-20 2022-11-18 支付宝(杭州)信息技术有限公司 Virtual image processing method and device
CN117726359A (en) * 2024-02-08 2024-03-19 成都纳宝科技有限公司 Interactive marketing method, system and equipment
CN117726359B (en) * 2024-02-08 2024-04-26 成都纳宝科技有限公司 Interactive marketing method, system and equipment

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CN108596679A (en) * 2018-04-27 2018-09-28 中国联合网络通信集团有限公司 Construction method, device, terminal and the computer readable storage medium of user's portrait

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CN103678647A (en) * 2013-12-20 2014-03-26 Tcl集团股份有限公司 Method and system for recommending information
CN104090929A (en) * 2014-06-23 2014-10-08 吕志雪 Recommendation method and device of personalized picture
CN105426550A (en) * 2015-12-28 2016-03-23 Tcl集团股份有限公司 Collaborative filtering tag recommendation method and system based on user quality model
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Publication number Priority date Publication date Assignee Title
CN115357938A (en) * 2022-09-20 2022-11-18 支付宝(杭州)信息技术有限公司 Virtual image processing method and device
CN117726359A (en) * 2024-02-08 2024-03-19 成都纳宝科技有限公司 Interactive marketing method, system and equipment
CN117726359B (en) * 2024-02-08 2024-04-26 成都纳宝科技有限公司 Interactive marketing method, system and equipment

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