CN110263249A - A kind of telecommunications Precision Marketing Method and system based on multi-objective optimization algorithm and user's internet information - Google Patents
A kind of telecommunications Precision Marketing Method and system based on multi-objective optimization algorithm and user's internet information Download PDFInfo
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Abstract
The present disclosure discloses a kind of telecommunications Precision Marketing Method and system based on multi-objective optimization algorithm and user's internet information, this method comprises: receiving target user's demand of cooperation businessman；Phone sample is acquired according to target user's demand, and extracts data characteristics；Using in phone sample historical data and Recent data as training set and test set；Telephone number list is obtained by test set test target user's screening model using target user's screening model of multi-objective optimization algorithm building according to training set training；Receive the recent internet information of telephone number list；The webpage information in the recent internet information is crawled according to target user's demand；Preceding n target users of the webpage information count sort that will be obtained, feedback result carry out precision marketing.
Description
Technical field
The disclosure belongs to the technical field of telecommunications marketing, is related to a kind of based on multi-objective optimization algorithm and user's internet information
Telecommunications Precision Marketing Method and system.
Background technique
Only there is provided background technical informations relevant to the disclosure for the statement of this part, it is not necessary to so constitute first skill
Art.
With flourishing for mobile communication, telecom operators can possess processing and the teledata of storage is more and more,
Many companies and enterprise begin through the telecommunications number for cooperating to obtain them with telecom operators to efficiently find target user
According to being analyzed and being handled, cooperation businessman is fed back to after obtaining a result and carries out precision marketing.Big data is in precision marketing side at present
There have been some applications in face, but precision marketing mode for telecommunications big data or on the low side, and main cause is telecommunications fortune
Quotient is sought in order to protect privacy of user, will not at will disclose the teledata of user, it much can be with so still having in terms of method
The method of innovation.
In existing case, there is the method for several very classical precision marketings:
(1) diaper of Wal-Mart and beer case are classical precision marketing cases, inside a supermarket, it has been found that
One interesting phenomenon: diaper and beer both commodity having absolutely nothing to do with each other are put together unexpectedly.But this is strange
Behave is unexpectedly added significantly to the sales volume of diaper and beer.The reason of from thing substantially is that the women in the U.S. is usually in photograph
Child is cared for, so they often enjoin husband to buy diaper in child Lu Shangwei to come home from work, and husband is buying the same of diaper
When can smoothly buy oneself again and like the beer drunk.This phenomenon is found after being analyzed by data, this discovery allows businessman to determine
It is fixed to be placed in together beer and diaper, the sharp increase of the two sales volume is as a result brought, what this case was used is supermarket's sale number
According to.
(2) Taobao of Ma Yun is a big data transaction platform, and nowadays each pair 11 is creating record,
Such a phenomenon is had found in the Data Analyst of Taobao's work: data show, online every day peak period mainly collects
In at noon after 12 points and before 12 points of evening., there is the reason of this " strange phenomenon " in the Data Analyst discovery of profession
It is then to there is part Taobao businessman just to utilize consumer this " strong because modern can have the habit of online before generally sleeping
Compel disease " at night 12 points carry out promotion the second kill activity, drive the multiplication of sales volume, what this case was used is Taobao's sales data.
(3) big data not only brings the profit of great number to enterprise, while can also facilitate our daily life, according to used
Example, our common citizens are wanted to take public bus, must just arrive specified bus stop and passively wait, sometimes encounter road
Traffic congestion waits one or two hour thing to happen occasionally, and can directly carry out passenger source organization by data information means now,
To make Public Transport Service to measure in same area, identical travel time, the crowd with identical trip requirements, and enjoying
The customization service of " people one " provides many conveniences really for trip, and it is traffic data that this case, which is used,.
(4) external many telecommunications enterprises are widely used using data mining in customer segmentation, and some telecommunications are looked forward to
Industry is paid much attention in terms of marketing to customer segmentation and client, while making correct decision according to the result that customer segmentation generates.
Enterprise, France Telecom is based on data mining means and is widely used in terms of customer churn, and predicts it；South Korea
Telecommunications is mainly finely divided client using data mining technology, and the essential characteristics such as gender and age for example, by using client are come；
Telecommunication is mainly finely divided client by analyzing the business contribution of different clients, formulates difference for different clients group
The marketing program of change.
To sum up, the scheme of existing precision marketing has the following characteristics that
(1) from principle, above-mentioned case is all based on carry out data mining on the basis of certain specific data after obtain
As a result precision marketing is carried out, certain result is all achieved in terms of effect.
(2) first three case is based on supermarket's sales data, Taobao's network data, urban transportation data.4th case is then
It is for teledata, however, inventor has found in R&D process, their method is then to be based on oneself teledata
Oneself classify and carry out the distribution of corresponding product to the user of oneself, lacks and cooperate with corresponding businessman, pass through the telecommunications of oneself
Data are that cooperation businessman excavates corresponding target user, carry out precision marketing.
Summary of the invention
For the deficiencies in the prior art, one or more other embodiments of the present disclosure provide a kind of based on multiple target
The telecommunications Precision Marketing Method and system of optimization algorithm and user's internet information, are applied to sample data for multi-objective optimization algorithm
Processing, the telephone feature training data based on history target user, and combine user internet information, construct for screening
The model of target user carries out telecommunications precision marketing.
According to the one aspect of one or more other embodiments of the present disclosure, provide a kind of based on multi-objective optimization algorithm and use
The telecommunications Precision Marketing Method of family internet information.
A kind of telecommunications Precision Marketing Method based on multi-objective optimization algorithm and user's internet information, this method comprises:
Receive target user's demand of cooperation businessman；
Phone sample is acquired according to target user's demand, and extracts data characteristics；
Using in phone sample historical data and Recent data as training set and test set；
According to training set training using target user's screening model of multi-objective optimization algorithm building, tested by test set
Target user's screening model obtains telephone number list；
Receive the recent internet information of telephone number list；
The webpage information in the recent internet information is crawled according to target user's demand；
The webpage information count sort that will be obtained, preceding n target users of feedback result.
Further, in the method, the data characteristics be user telephone feature data, including Subscriber Number, should
Client monthly telephone expenses, client recent call caller difference level-one contact person number, client's recent call caller all one in the recent period
It is called all that total degree, client's recent call of grade contact person is called different level-one contact person numbers, client's recent call
Level-one contact person total degree and client's recent call are called all level-one contact person total durations.
Further, in the method, the training set includes the phone sample for cooperating the history target user that businessman provides
This.
Further, in the method, the test set includes the phone sample after reduction, i.e. rival nearly one
The subscriber phone sample dialed for a month.
Further, in the method, the specific steps by test set test target user's screening model include:
Test set is input in trained target user's screening model；
It exports feature in test set and meets telephone number list similar with training set data generation model.
Further, in the method, the webpage crawled according to target user's demand in the recent internet information
The specific steps of information include:
According to target user's demand, keyword is set；
It crawls in recent internet information described in user and the webpage information of keyword occurred.
According to the one aspect of one or more other embodiments of the present disclosure, a kind of computer readable storage medium is provided.
A kind of computer readable storage medium, wherein being stored with a plurality of instruction, described instruction is suitable for by terminal device
Reason device loads and executes a kind of telecommunications Precision Marketing Method based on multi-objective optimization algorithm and user's internet information.
According to the one aspect of one or more other embodiments of the present disclosure, a kind of terminal device is provided.
A kind of terminal device comprising processor and computer readable storage medium, processor is for realizing each instruction；Meter
Calculation machine readable storage medium storing program for executing is suitable for being loaded by processor and being executed described one kind and is based on for storing a plurality of instruction, described instruction
The telecommunications Precision Marketing Method of multi-objective optimization algorithm and user's internet information.
According to the one aspect of one or more other embodiments of the present disclosure, provide a kind of based on multi-objective optimization algorithm and use
The telecommunications precision marketing device of family internet information.
A kind of telecommunications precision marketing device based on multi-objective optimization algorithm and user's internet information, based on described one kind
Telecommunications Precision Marketing Method based on multi-objective optimization algorithm and user's internet information, comprising:
Demand receiving module is configured as receiving target user's demand of cooperation businessman；
Characteristic extracting module is configured as acquiring phone sample according to target user's demand, and extracts data characteristics；
Data set module, be configured as using in phone sample historical data and Recent data as training set and survey
Examination collection；
Model construction module is configured as target user's sieve according to training set training using multi-objective optimization algorithm building
Modeling type obtains telephone number list by test set test target user's screening model；
Internet information obtains module, is configured as receiving the recent internet information of telephone number list；
Webpage information crawls module, is configured as crawling the webpage in the recent internet information according to target user's demand
Information；
Target user's determining module is configured as the webpage information count sort that will be obtained, preceding n targets of feedback result
User.
According to the one aspect of one or more other embodiments of the present disclosure, provide a kind of based on multi-objective optimization algorithm and use
The telecommunications precision marketing system of family internet information.
A kind of telecommunications precision marketing system based on multi-objective optimization algorithm and user's internet information, comprising: server end
And client；
The server end is accurate based on a kind of telecommunications based on multi-objective optimization algorithm and user's internet information
Marketing method；
The client is configured as the target user's demand for cooperating businessman being uploaded to server end, and receives service
The target user of device end feedback carries out precision marketing.
The disclosure the utility model has the advantages that
A kind of telecommunications Precision Marketing Method based on multi-objective optimization algorithm and user's internet information that the disclosure provides and
System, feature selecting is more targeted, and the feature after combination can be more various and effective；Mould is constructed using multi-objective optimization algorithm
Type preferably screens target user based on subscriber phone feature, has application innovation on solving the problems, such as this, passes through practical knot
Fruit proves that the model has certain accuracy rate, has application.By combining the internet information of user, can more intuitively find
The interest and purpose of user makes the accuracy rate of the user filtered out improve a level again.At present in telecommunications precision marketing side
Face, there are no multi-objective optimization algorithm and user's internet information to be combined to the method for taking target user, method has novelty.
The model is suitble to large-scale data processing and target user to excavate.
Detailed description of the invention
The accompanying drawings constituting a part of this application is used to provide further understanding of the present application, and the application's shows
Meaning property embodiment and its explanation are not constituted an undue limitation on the present application for explaining the application.
Fig. 1 is a kind of telecommunications based on multi-objective optimization algorithm and user's internet information according to one or more embodiments
Precision Marketing Method flow chart；
Fig. 2 is the application method policy map according to the multi-objective optimization algorithm model of one or more embodiments；
Fig. 3 is user's webpage information processing strategie figure based on keyword according to one or more embodiments.
Specific embodiment:
Below in conjunction with the attached drawing in one or more other embodiments of the present disclosure, to one or more other embodiments of the present disclosure
In technical solution be clearly and completely described, it is clear that described embodiment is only disclosure a part of the embodiment,
Instead of all the embodiments.Based on one or more other embodiments of the present disclosure, those of ordinary skill in the art are not being made
Every other embodiment obtained under the premise of creative work belongs to the range of disclosure protection.
It is noted that following detailed description is all illustrative, it is intended to provide further instruction to the application.Unless another
It indicates, all technical and scientific terms that the present embodiment uses have and the application person of an ordinary skill in the technical field
Normally understood identical meanings.
It should be noted that term used herein above is merely to describe specific embodiment, and be not intended to restricted root
According to the illustrative embodiments of the application.As used herein, unless the context clearly indicates otherwise, otherwise singular
Also it is intended to include plural form, additionally, it should be understood that, when in the present specification using term "comprising" and/or " packet
Include " when, indicate existing characteristics, step, operation, device, component and/or their combination.
It should be noted that flowcharts and block diagrams in the drawings show according to various embodiments of the present disclosure method and
The architecture, function and operation in the cards of system.It should be noted that each box in flowchart or block diagram can represent
A part of one module, program segment or code, a part of the module, program segment or code may include one or more
A executable instruction for realizing the logic function of defined in each embodiment.It should also be noted that some alternately
Realization in, function marked in the box can also occur according to the sequence that is marked in attached drawing is different from.For example, two connect
The box even indicated can actually be basically executed in parallel or they can also be executed in a reverse order sometimes,
This depends on related function.It should also be noted that each box and flow chart in flowchart and or block diagram
And/or the combination of the box in block diagram, the dedicated hardware based system that functions or operations as defined in executing can be used are come
It realizes, or the combination of specialized hardware and computer instruction can be used to realize.
In the absence of conflict, the feature in the embodiment and embodiment in the disclosure can be combined with each other, and tie below
It closes attached drawing and embodiment is described further the disclosure.
Embodiment one
According to the one aspect of one or more other embodiments of the present disclosure, provide a kind of based on multi-objective optimization algorithm and use
The telecommunications Precision Marketing Method of family internet information.
As shown in Figure 1, a kind of telecommunications Precision Marketing Method based on multi-objective optimization algorithm and user's internet information, the party
Method includes:
S1: target user's demand of cooperation businessman is received；
S2: phone sample is acquired according to target user's demand, and extracts data characteristics；
S3: using in phone sample historical data and Recent data as training set and test set；
S4: according to training set training using target user's screening model of multi-objective optimization algorithm building, pass through test set
Test target user's screening model, obtains telephone number list；
S5: the recent internet information of telephone number list is received；
S6: the webpage information in the recent internet information is crawled according to target user's demand；
S7: the webpage information count sort that will be obtained, preceding n target users of feedback result.
In step sl, it receives to exchange with cooperation businessman and obtains user demand, that is, cooperate which type of target businessman needs
User；
In step s 2, phone sample is acquired for user demand telecom operators, extracts the data of each telephone number
Feature；
The phone sample (is dialled for rival nearly 1 month including history destination phone numbers and telephone number to be tested
The subscriber phone beaten) and certain customers internet information.
The disclosure carries out the selection and combination of telephone feature first,
(1)a9
(2)a33
(3)a10/(a10+a13)
(4)(a12/a11)/(a12/a11+a15/a14)
(5)(a36/a35)/(a12/a11)/((a36/a35)/(a12/a11)+(a39/a38)/(a15/a14))
(6)a48-a24
(7)a51-a27
(8)a34
(9)a34/a10
(10)a37
(11)a37/a13
(12)(a38/a37)/(a14/a13)
(13)a38/a37
(14)a42
(15)a45
(16)a49
(17)a48
(18)a24-a25
(19)a26
(20)a21
(21)a39
The step of specific processing subscriber phone data, is as follows:
(1) all clients all multi-objective optimization algorithm models rung in nearly 40 days of all acquisitions, one is sifted out
Certain customers.
(2) the value for sifting out all users calculating a39/a38 come, as long as the value calculated is greater than 100 user.
(3) it according to the value of a33, screens within the last 30 days.
(4) it is sorted from large to small according to the value of a39, selects about first 150 or so to be returned to telecom operators and take this about
The details of the access url of 150 clients.
(5) the case where accessing url by user, finally determines last target user.
Feature represented by each character is as shown in table 1.
1 characteristic attribute name of table
In step s3, the phone sample of acquisition is divided into training set M and test set N；The training set M, comprising: a item
Cooperate the phone sample for the history target user that businessman provides；The test set N, comprising: the phone sample after reduction obtains
The nearly subscriber phone (reducing data scale to a certain extent) dialed for one month of rival is taken, the target for needing to excavate is used
Family will excavate in test set data；
In step s 4, model is constructed based on multi-objective optimization algorithm, by the data characteristics of each telephone number of training set M
It is input in model, a model can be exported for the phone data feature of training set；
Test set N is input in trained model, feature in test set N is exported and meets and training set data production
The similar telephone number list Q of life model；
The basic principle of multi-objective Evolutionary Algorithm is described as follows: the population that multi-objective Evolutionary Algorithm generates at random from one group goes out
Hair, by executing selection to population, intersecting and the evolutional operations such as variation, through excessive for evolution, in population, individual fitness is not
It is disconnected to improve, thus the Pareto optimal solution set of Step wise approximation multi-objective optimization question.It is different from single goal evolution algorithm, multiple target
Evolution algorithm has special fitness evaluation mechanism.As shown in Figure 2.
In step s 5, by cooperating with telecom operators, the internet information in a phone list Q nearly week is obtained；
In step s 6, keyword is set according to the demand of user, crawls in user's internet information and keyword occurred
Webpage information, and count and sort, quantity more multilist shows that the probability that user is target user is bigger.As shown in Figure 3.
In the step s 7, according to the count sort of step (6) as a result, more before exporting ranking from big to small according to count results
The user of few position is as ours as a result, feeding back to cooperation businessman carries out precision marketing.
The process flow of model:
The purpose of telecommunications precision marketing is that effective acquisition target user carries out accurately business service, can with save the cost and
It improves efficiency.It is first to solve this problem the demand for obtaining client, the feature of target user is determined for customer demand, because
It is that precision marketing is done based on telecommunications big data for us, we will reduce dimension and the quantity of data to mention to a certain extent
The accuracy rate and efficiency of high model.According to the feature of target user, telecommunication features required for choosing are asked for this herein
Topic, we obtain 116 subscriber phone features altogether, as Subscriber Number, the client nearly 6 months monthly telephone expenses (member), client are close
10 days (calculating the reference time) call caller difference level-one contact person numbers, the client nearly 10 days (calculating the reference time) call masters
The total degree of all level-one contact persons, (calculating the reference time) call in the client nearly 10 days is made to be called different level-one connection numbers
Mesh, (calculating the reference time) call in the client nearly 10 days are called all level-one contact person total degrees, (calculate ginseng within the client nearly 10 days
Examine the time) conversing is called all level-one contact person total durations etc., Partial Feature data are therefrom had chosen in order to improve efficiency us
It is combined and practices.The data of acquisition are divided into two parts, and a part is the telephone feature data of user, i.e., above-mentioned
The data set that 116 telephone features are constituted, a part is the internet information of user, and within a certain period of time, which is browsed
All webpages information, keyword is therefrom arranged in we, crawl user browse webpage occur keyword url (example: we
Keyword .baidu. is set, then it is that the webpage of logged Baidu's browser interface all accordingly crawls out that user is counter).For electricity
Characteristic data set is talked about, current embodiment require that two parts data, a part is the telephone feature data set of known target user,
This partial data is trained as training set, and remainder data is used as test set data, is tested, by training set data and survey
Examination collection model of the data by multi-objective optimization algorithm, exports result 1 (certain customers' number), then obtain user in result 1
Internet information crawls the url for browsing webpage, is ranked up according to the click volume of keyword, and quantity is shown to be target use
The probability at family is bigger, export it is final as a result, as the present embodiment obtain target user.
Embodiment two
According to the one aspect of one or more other embodiments of the present disclosure, a kind of computer readable storage medium is provided.
A kind of computer readable storage medium, wherein being stored with a plurality of instruction, described instruction is suitable for by terminal device
Reason device loads and executes a kind of telecommunications Precision Marketing Method based on multi-objective optimization algorithm and user's internet information.
Embodiment three
According to the one aspect of one or more other embodiments of the present disclosure, a kind of terminal device is provided.
A kind of terminal device comprising processor and computer readable storage medium, processor is for realizing each instruction；Meter
Calculation machine readable storage medium storing program for executing is suitable for being loaded by processor and being executed described one kind and is based on for storing a plurality of instruction, described instruction
The telecommunications Precision Marketing Method of multi-objective optimization algorithm and user's internet information.
These computer executable instructions execute the equipment according to each reality in the disclosure
Apply method or process described in example.
In the present embodiment, computer program product may include computer readable storage medium, containing for holding
The computer-readable program instructions of row various aspects of the disclosure.Computer readable storage medium, which can be, can keep and store
By the tangible device for the instruction that instruction execution equipment uses.Computer readable storage medium for example can be-- but it is unlimited
In-- storage device electric, magnetic storage apparatus, light storage device, electric magnetic storage apparatus, semiconductor memory apparatus or above-mentioned
Any appropriate combination.The more specific example (non exhaustive list) of computer readable storage medium includes: portable computing
Machine disk, hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read only memory (EPROM or
Flash memory), static random access memory (SRAM), Portable compressed disk read-only memory (CD-ROM), digital versatile disc
(DVD), memory stick, floppy disk, mechanical coding equipment, the punch card for being for example stored thereon with instruction or groove internal projection structure, with
And above-mentioned any appropriate combination.Computer readable storage medium used herein above is not interpreted instantaneous signal itself,
The electromagnetic wave of such as radio wave or other Free propagations, the electromagnetic wave propagated by waveguide or other transmission mediums (for example,
Pass through the light pulse of fiber optic cables) or pass through electric wire transmit electric signal.
Computer-readable program instructions described herein can be downloaded to from computer readable storage medium it is each calculate/
Processing equipment, or outer computer or outer is downloaded to by network, such as internet, local area network, wide area network and/or wireless network
Portion stores equipment.Network may include copper transmission cable, optical fiber transmission, wireless transmission, router, firewall, interchanger, gateway
Computer and/or Edge Server.Adapter or network interface in each calculating/processing equipment are received from network to be counted
Calculation machine readable program instructions, and the computer-readable program instructions are forwarded, for the meter being stored in each calculating/processing equipment
In calculation machine readable storage medium storing program for executing.
Computer program instructions for executing present disclosure operation can be assembly instruction, instruction set architecture (ISA)
Instruction, machine instruction, machine-dependent instructions, microcode, firmware instructions, condition setup data or with one or more programmings
The source code or object code that any combination of language is write, the programming language include the programming language-of object-oriented such as
C++ etc., and conventional procedural programming languages-such as " C " language or similar programming language.Computer-readable program refers to
Order can be executed fully on the user computer, partly be executed on the user computer, as an independent software package
Execute, part on the user computer part on the remote computer execute or completely on a remote computer or server
It executes.In situations involving remote computers, remote computer can include local area network by the network-of any kind
(LAN) or wide area network (WAN)-is connected to subscriber computer, or, it may be connected to outer computer (such as utilize internet
Service provider is connected by internet).In some embodiments, by being believed using the state of computer-readable program instructions
Breath comes personalized customization electronic circuit, such as programmable logic circuit, field programmable gate array (FPGA) or programmable logic
Array (PLA), the electronic circuit can execute computer-readable program instructions, to realize the various aspects of present disclosure.
Example IV
According to the one aspect of one or more other embodiments of the present disclosure, provide a kind of based on multi-objective optimization algorithm and use
The telecommunications precision marketing device of family internet information.
A kind of telecommunications precision marketing device based on multi-objective optimization algorithm and user's internet information, based on described one kind
Telecommunications Precision Marketing Method based on multi-objective optimization algorithm and user's internet information, comprising:
Talk with receiving module, is configured as received from by text knowledge and the context of dialogue；
Talk with coding module, is configured to free text knowledge and right through knowledge encoding device and context encoder
Words context coding is indicated at hidden state；
Talk with decoder module, is configured as that the hidden state of the two is indicated decoding by hybrid decoder；By a fixed number
The decoding time of amount walks, until obtaining sequentially synthesizing final reply sequence jointly by different execution pattern results；
Decoding mode determining module, is configured as in decoded each time step, determines mixing solution by mode converter
Code device execution pattern.
It should be noted that although being referred to several modules or submodule of equipment in the detailed description above, it is this
Division is only exemplary rather than enforceable.In fact, in accordance with an embodiment of the present disclosure, two or more above-described moulds
The feature and function of block can embody in a module.Conversely, the feature and function of an above-described module can be with
Further division is to be embodied by multiple modules.
Embodiment five
According to the one aspect of one or more other embodiments of the present disclosure, provide a kind of based on multi-objective optimization algorithm and use
The telecommunications precision marketing system of family internet information.
A kind of telecommunications precision marketing system based on multi-objective optimization algorithm and user's internet information, comprising: server end
And client；
The server end is accurate based on a kind of telecommunications based on multi-objective optimization algorithm and user's internet information
Marketing method；
The client is configured as the target user's demand for cooperating businessman being uploaded to server end, and receives service
The target user of device end feedback carries out precision marketing.
Compared with prior art, the beneficial effect of the disclosure is:
1. feature selecting is more targeted, the feature after combination can be more various and effective.
2. constructing model using multi-objective optimization algorithm, target user is preferably screened based on subscriber phone feature, is being solved
Certainly there is in the problem application innovation.It proves that the model has certain accuracy rate by actual result, there is application.
3. can more intuitively find the interest and purpose of user by combining the internet information of user, make to filter out
The accuracy rate of user improves a level again.
4. there are no combine multi-objective optimization algorithm and user's internet information to take at present in terms of telecommunications precision marketing
The method of target user, method have novelty.
5. the model is suitble to large-scale data processing and target user to excavate.
The foregoing is merely preferred embodiment of the present application, are not intended to limit this application, for the skill of this field
For art personnel, various changes and changes are possible in this application.Within the spirit and principles of this application, made any to repair
Change, equivalent replacement, improvement etc., should be included within the scope of protection of this application.Therefore, the disclosure is not intended to be limited to this
These embodiments shown in text, and it is to fit to the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. a kind of telecommunications Precision Marketing Method based on multi-objective optimization algorithm and user's internet information, which is characterized in that the party
Method includes:
Receive target user's demand of cooperation businessman；
Phone sample is acquired according to target user's demand, and extracts data characteristics；
Using in phone sample historical data and Recent data as training set and test set；
According to training set training using target user's screening model of multi-objective optimization algorithm building, pass through test set test target
User's screening model obtains telephone number list；
Receive the recent internet information of telephone number list；
The webpage information in the recent internet information is crawled according to target user's demand；
The webpage information count sort that will be obtained, preceding n target users of feedback result.
2. a kind of telecommunications precision marketing side based on multi-objective optimization algorithm and user's internet information as described in claim 1
Method, which is characterized in that in the method, the data characteristics is the telephone feature data of user, including Subscriber Number, the client
Recent monthly telephone expenses, client recent call caller difference level-one contact person number, all cascades of client's recent call caller
Be people total degree, client's recent call be called different level-one contact person numbers, client's recent call is called all level-ones
Contact person's total degree and client's recent call are called all level-one contact person total durations.
3. a kind of telecommunications precision marketing side based on multi-objective optimization algorithm and user's internet information as described in claim 1
Method, which is characterized in that in the method, the training set includes the phone sample for cooperating the history target user that businessman provides.
4. a kind of telecommunications precision marketing side based on multi-objective optimization algorithm and user's internet information as described in claim 1
Method, which is characterized in that the test set includes the phone sample after reduction, the i.e. nearly month user dialed of rival
Phone sample.
5. a kind of telecommunications precision marketing side based on multi-objective optimization algorithm and user's internet information as described in claim 1
Method, which is characterized in that the specific steps by test set test target user's screening model include:
Test set is input in trained target user's screening model；
It exports feature in test set and meets telephone number list similar with training set data generation model.
6. a kind of telecommunications precision marketing side based on multi-objective optimization algorithm and user's internet information as described in claim 1
Method, which is characterized in that the specific steps that the webpage information in the recent internet information is crawled according to target user's demand
Include:
According to target user's demand, keyword is set；
It crawls in recent internet information described in user and the webpage information of keyword occurred.
7. a kind of computer readable storage medium, wherein being stored with a plurality of instruction, which is characterized in that described instruction is suitable for by terminal
The processor of equipment is loaded and is executed as claimed in any one of claims 1 to 6 a kind of based on multi-objective optimization algorithm and user
The telecommunications Precision Marketing Method of net information.
8. a kind of terminal device comprising processor and computer readable storage medium, processor is for realizing each instruction；It calculates
Machine readable storage medium storing program for executing is for storing a plurality of instruction, which is characterized in that described instruction is suitable for being loaded by processor and being executed such as power
Benefit requires a kind of described in any item telecommunications Precision Marketing Methods based on multi-objective optimization algorithm and user's internet information of 1-6.
9. a kind of telecommunications precision marketing device based on multi-objective optimization algorithm and user's internet information, which is characterized in that be based on
A kind of telecommunications precision marketing side based on multi-objective optimization algorithm and user's internet information as claimed in any one of claims 1 to 6
Method, comprising:
Talk with receiving module, is configured as received from by text knowledge and the context of dialogue；
Talk with coding module, being configured to will be in free text knowledge and dialogue by knowledge encoding device and context encoder
Hereafter being encoded into hidden state indicates；
Talk with decoder module, is configured as that the hidden state of the two is indicated decoding by hybrid decoder；By a certain number of
Decoding time step, until obtaining sequentially synthesizing final reply sequence jointly by different execution pattern results；
Decoding mode determining module is configured as determining hybrid decoder by mode converter in decoded each time step
Execution pattern.
10. a kind of telecommunications precision marketing system based on multi-objective optimization algorithm and user's internet information, which is characterized in that packet
It includes: server end and client；
The server end is based on as claimed in any one of claims 1 to 6 a kind of based on multi-objective optimization algorithm and user's online
The telecommunications Precision Marketing Method of information；
The client is configured as the target user's demand for cooperating businessman being uploaded to server end, and receives server end
The target user of feedback carries out precision marketing.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113850611A (en) * | 2021-08-02 | 2021-12-28 | 上海画龙信息科技有限公司 | Marketing task execution method and device based on response surface and electronic equipment |
| CN114173006A (en) * | 2020-09-11 | 2022-03-11 | 中国联合网络通信集团有限公司 | Communication user off-network early warning method and server |
-
2019
- 2019-05-30 CN CN201910465057.1A patent/CN110263249A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114173006A (en) * | 2020-09-11 | 2022-03-11 | 中国联合网络通信集团有限公司 | Communication user off-network early warning method and server |
| CN113850611A (en) * | 2021-08-02 | 2021-12-28 | 上海画龙信息科技有限公司 | Marketing task execution method and device based on response surface and electronic equipment |
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