CN110443633A - Matching process, device, computer equipment and the storage medium of excited data - Google Patents
Matching process, device, computer equipment and the storage medium of excited data Download PDFInfo
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- CN110443633A CN110443633A CN201910606308.3A CN201910606308A CN110443633A CN 110443633 A CN110443633 A CN 110443633A CN 201910606308 A CN201910606308 A CN 201910606308A CN 110443633 A CN110443633 A CN 110443633A
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- 238000000034 method Methods 0.000 title claims abstract description 31
- 230000008569 process Effects 0.000 title claims abstract description 20
- 230000003542 behavioural effect Effects 0.000 claims abstract description 80
- 241001269238 Data Species 0.000 claims abstract description 30
- 238000012544 monitoring process Methods 0.000 claims description 14
- 230000005284 excitation Effects 0.000 claims description 12
- 230000011218 segmentation Effects 0.000 claims description 4
- 230000008901 benefit Effects 0.000 claims description 3
- 238000004321 preservation Methods 0.000 claims 1
- 230000000875 corresponding effect Effects 0.000 description 45
- 230000006399 behavior Effects 0.000 description 20
- 239000000047 product Substances 0.000 description 11
- 238000012549 training Methods 0.000 description 5
- 230000009471 action Effects 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 238000012546 transfer Methods 0.000 description 3
- 238000004590 computer program Methods 0.000 description 2
- 230000007812 deficiency Effects 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 235000019640 taste Nutrition 0.000 description 2
- 230000004913 activation Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 230000002596 correlated effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000018109 developmental process Effects 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2457—Query processing with adaptation to user needs
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
Abstract
The present invention relates to user behavior Portrait brand technology fields, more particularly to a kind of matching process of excited data, device, computer equipment and storage medium, it include: the behavioural information for obtaining user, user's portrait related to user is generated according to the behavioural information, and is drawn a portrait by the user and determines multiple label datas；The label data of the user is matched with the excited data of operation platform, and at least one excited data corresponding with user portrait is obtained according to the matching result；The excited data is transferred by the database of the operation platform, and the excited data is added in the account information of user；Monitor frequency of use of the excited data in the account information in preset period of time；This not only increases the accuracy of the information matches degree between excited data and user, it is ensured that the excited data of distribution is needed for user.
Description
Technical field
The present invention relates to user behavior Portrait brand technology field more particularly to a kind of matching process of excited data, device, meter
Calculate machine equipment and storage medium.
Background technique
Current social, information technology rapid development, consequently also emerges more and more marketing modes, most platforms can lead to
It crosses these marketing modes to go that user is attracted to participate in correlated activation, to bring more potential users for platform.For example, certain fortune
Platform is sought in operation activity on making line, meeting is with movable Free distribution and this movable relevant prize, to attract user to participate in,
Increase portfolio.
But at present in activity the excited data provided all be it is good according to active configuration in advance, and participate in movable use
It is not maintained close ties between family, leads to the matching poor accuracy of excited data, information mismatches between the consumer objects of user,
It is unable to satisfy the demand of user.
Summary of the invention
The purpose of the present invention is intended at least can solve above-mentioned one of technological deficiency, excitation number especially in the prior art
According to matching accuracy it is poor, be unable to satisfy the technological deficiency of user demand.
The present invention provides a kind of matching process of excited data, includes the following steps:
The behavioural information for obtaining user generates user related to user according to the behavioural information and draws a portrait, and passes through institute
It states user's portrait and determines multiple label datas；
The label data of the user is matched with its excited data in operation platform, and is tied according to the matching
Fruit obtains at least one excited data corresponding with user portrait；
The excited data is transferred by the database of the operation platform, and the excited data is added to user's
In account information；
Frequency of use of the excited data in the account information in preset period of time is monitored, when the frequency of use is lower than
When preset value, the behavioural information of user is reacquired, and excited data is matched according to the behavioural information got again.
Described the step of multiple label datas are determined by user portrait in one of the embodiments, comprising:
Identify the portrait content of user's portrait, and by the portrait content segmentation at multiple general character identification fields；
Multiple label datas corresponding with user portrait are determined by the general character identification field.
The excited data of the label data of the user and operation platform is carried out in one of the embodiments, matched
Step, comprising:
Obtain the label data of the user and the excited data of operation platform；
The data content of the excited data is parsed, data type corresponding with the excited data is obtained；
The label data is matched with the excited data according to the data type.
In one of the embodiments, before the step in the account information that the excited data is added to user,
Further include:
Corresponding service life is set according to the data type of the excited data, and the service life is added to institute
It states in excited data.
The excited data is transferred by the database of the operation platform in one of the embodiments, and will be described
Excited data is added to after the step in the account information of user, further includes:
Threshold value of warning is set according to the inventory information of the database, when the inventory information reaches the threshold value of warning
When, the information content of the inventory information is pushed into front end page.
In one of the embodiments, when the frequency of use is lower than preset value, the behavioural information of user is reacquired,
And after the step of matching excited data again according to the behavioural information, further includes:
When the frequency of use is higher than preset value, the account information is saved into the database, and according to institute
State the label data that the corresponding user's portrait of account information obtains user's portrait.
In one of the embodiments, when the frequency of use is higher than preset value, the account information is saved to institute
State in database, and drawn a portrait according to the corresponding user of the account information label data for obtaining user's portrait the step of it
Afterwards, further includes:
Limit priority corresponding with user portrait is set according to user portrait in the database, and is passed through
The limit priority preferentially pushes excited data corresponding with the label data of user portrait.
The present invention also provides a kind of coalignments of excited data comprising:
Data generation module generates related to user for obtaining the behavioural information of user according to the behavioural information
User's portrait, and drawn a portrait by the user and determine multiple label datas；
Data match module, for the label data of the user to be matched with the excited data of operation platform, and
At least one excited data corresponding with user portrait is obtained according to the matching result；
Data allocation module for transferring the excited data by the database of the operation platform, and swashs described
Data are encouraged to be added in the account information of user；
Data monitoring module, for monitoring frequency of use of the excited data in the account information in preset period of time,
When the frequency of use is lower than preset value, the behavioural information of user is reacquired, and again according to the behavioural information got
Match excited data.
The present invention also provides a kind of computer equipment, including memory and processor, meter is stored in the memory
Calculation machine readable instruction, which is characterized in that when the computer-readable instruction is executed by the processor, so that the processor is held
The step of matching process of excited data of the row as described in any one of above-described embodiment.
The present invention also provides a kind of computer storage medium, it is stored in the computer storage medium computer-readable
Instruction, when the computer-readable instruction is executed by one or more processors, so that one or more processors execute as above
The step of stating the matching process of excited data described in any one of embodiment.
Matching process, device, computer equipment and the storage medium of above-mentioned excited data, first the behavior letter of acquisition user
Breath generates user related to user according to the behavioural information and draws a portrait, and drawn a portrait by the user and determine multiple number of tags
According to；Then the label data of the user is matched with the excited data of operation platform, and is obtained according to the matching result
Take at least one excited data corresponding with user portrait；The excitation number is transferred by the database of the operation platform
According to, and the excited data is added in the account information of user；The excited data in the account information is monitored default
Frequency of use in period reacquires the behavioural information of user, and according to acquisition when the frequency of use is lower than preset value
To behavioural information match excited data again.
This programme according to the behavioural information of the user got generate user portrait, and by user draw a portrait determine it is multiple and
The relevant label data of user will match between the label data and the excited data in operation platform, so as to obtain with
The excited data that user's portrait matches, so that more being matched between excited data and the behavioural information of user；In addition, this programme
The middle excited data identical with user's portrait that will be obtained is stored to user account information, carries out a period of time to account information
Monitoring readjusted and swashed according to the service condition to monitor user during this period of time to the service condition of excited data
The data class of data is encouraged, to further strengthen the accuracy of the information matches degree between the excited data and user, is guaranteed
The excited data of distribution is needed for user.
The additional aspect of the present invention and advantage will be set forth in part in the description, these will become from the following description
Obviously, or practice through the invention is recognized.
Detailed description of the invention
Above-mentioned and/or additional aspect and advantage of the invention will become from the following description of the accompanying drawings of embodiments
Obviously and it is readily appreciated that, in which:
Fig. 1 is the applied environment figure of the embodiment of the present invention；
Fig. 2 is the matching process flow chart of excited data in one embodiment；
Fig. 3 is the coalignment structural schematic diagram of the excited data of one embodiment；
Fig. 4 is the schematic diagram of internal structure of computer equipment in one embodiment.
Specific embodiment
The embodiment of the present invention is described below in detail, examples of the embodiments are shown in the accompanying drawings, wherein from beginning to end
Same or similar label indicates same or similar element or element with the same or similar functions.Below with reference to attached
The embodiment of figure description is exemplary, and for explaining only the invention, and is not construed as limiting the claims.
Those skilled in the art of the present technique are appreciated that unless expressly stated, singular " one " used herein, " one
It is a ", " described " and "the" may also comprise plural form.It is to be further understood that being arranged used in specification of the invention
Diction " comprising " refer to that there are the feature, integer, step, operation, element and/or component, but it is not excluded that in the presence of or addition
Other one or more features, integer, step, operation, element, component and/or their combination.
Those skilled in the art of the present technique are appreciated that unless otherwise defined, all terms used herein (including technology art
Language and scientific term), there is meaning identical with the general understanding of those of ordinary skill in fields of the present invention.Should also
Understand, those terms such as defined in the general dictionary, it should be understood that have in the context of the prior art
The consistent meaning of meaning, and unless idealization or meaning too formal otherwise will not be used by specific definitions as here
To explain.
Refering to what is shown in Fig. 1, Fig. 1 is the applied environment figure of the embodiment of the present invention；In the present embodiment, technical solution of the present invention
It can be realized based on server 120, as shown in figure 1, data interaction be carried out by network between server 120 and user terminal 110.
In embodiments of the present invention, user terminal 110 obtains behavioural information, the operation platform of user by network access server 120
Label data and the account information of user etc., relevant operation then is carried out to accessed information；Clothes referred herein
Business device 120 refers to the equipment for realizing various background functions；Here user terminal 110 refers to being able to carry out the phases such as front end page
Close the end PC of operation.
In one embodiment, as shown in Fig. 2, Fig. 2 is the matching process flow chart of excited data in one embodiment, this
A kind of matching process of excited data is proposed in embodiment, can specifically include following steps:
S110: obtaining the behavioural information of user, generates user related to user according to the behavioural information and draws a portrait, and leads to
It crosses user's portrait and determines multiple label datas.
In this step, the historical behavior information of user is preferentially obtained by server 120, which can be with
Browsing record and transaction data etc. including user in transaction platform can also include the personal account information, a of user
People's identity information and Credit Card Swiping record etc..
User's portrait related to user is generated by the behavioural information of the above-mentioned user got, specifically, passes through use
The family type of merchandize of behavior, number of transaction, transaction amount or browsing record etc. in transaction platform, generate the individual with the user
The corresponding user's portrait of identity information, user portrait can characterize all behavioural informations of the user in transaction platform.
In addition, this programme can also bury point data by the page obtains clicking operation, browsing information of the user in related pages
Deng, and the information of acquisition is generated into user related to user and is drawn a portrait.
After above-mentioned generation user's portrait according to the behavioural information of user, multiple number of tags can be determined by user portrait
According to.Specifically, multistage describes the sentence or vocabulary of the behavioural information of user in user's portrait of generation, it can be to the user
Portrait content in portrait carries out the operations such as semantic training, similarity mode, by user draw a portrait in portrait content be divided into it is multiple
Individual field, and assign certain nominal definition etc. for these individual fields, i.e., it can be determined by user portrait more
A label data.
In this step, by the behavioural information of the user got, generation and user after handling behavior information
Relevant user's portrait, is then drawn a portrait by the user and determines multiple label datas relevant to the behavioural information of user, so as to
The behavioural information of user is changed into after label data and is matched between the data class of the excited data in operation platform.
S120: the label data of the user is matched with the excited data of operation platform, and according to the matching
As a result at least one excited data corresponding with user portrait is obtained.
In this step, the behavioural information of user is got by step S110, and is generated according to the behavioural information of user
User related to user portrait, is drawn a portrait by user and determines multiple label datas related to user, by the label data with
It is matched between the excited data of operation platform, to obtain at least one excited data corresponding with user's portrait.
It should be noted that the excited data of above-mentioned operation platform refer to Free distribution in operation platform for the platform
User use finance product deduction certificate, oil card, the member of telephone expenses certificate, short-term accident insurance guarantee and some related platforms
Account etc..Here the label data of user refers to label relevant to the personal information of user, behavioural information, such as: financing
Preference, insurance preference, life intelligent, excessive consumption etc..
The label data of user is matched with the excited data of operation platform, for example, the label data of user is reason
When wealth preference, some finance products deduction certificates can be provided, according to the label data to cater to his tastes；When the label data of user
It can be that user provides the related free product such as some oil cards, telephone expenses certificate and make for user according to the label data when for life intelligent
With；Certainly, each user may be corresponding with multiple label datas, and can be that user's matching is corresponding according to multiple label data swashs
Data are encouraged, herein without limitation.
S130: the excited data is transferred by the database of the operation platform, and the excited data is added to
In the account information of user.
In this step, the excited data of the label data of the user and operation platform is carried out by step S120
Match, and after obtaining corresponding with user portrait at least one excited data according to the matching result, passes through operation platform
Database transfer the excited data that above-mentioned matching obtains, and the excited data is added in the account information of user.
Obtain that corresponding with user's portrait at least one is sharp after label data and excited data above by matching user
Data are encouraged, and the excited data is added in the account information of user, the account information of user is present in the fortune in this programme
It seeks in the database of platform, and shows the account content place of user by front end page, user can search in front end page
About account content part, the matched excited data of promising user is shown in the part, when user needs to use the excited data
When, the excited data can be clicked, link or specific account information etc. in the excited data are obtained, to be carried out in other platforms
Relevant operation.
Further, the excited data transferred from the database of operation platform is virtual product, and in the excited data
It is labeled with service life, using limitation etc., using effectively in the service life, is then considered as in vain, separately more than the service life
Outside, though certain excited datas are shown as virtual product, wherein there are some physical products, e.g., down toy, books, T-shirt
Deng user can ask in shop under defined line in service life.
In addition, user can also share the excited data in account information, more excited datas are obtained, or will
Amount in the excited data is correspondingly improved, service life increases etc., herein without limitation.
S140: monitoring frequency of use of the excited data in the account information in preset period of time, uses frequency when described
When rate is lower than preset value, the behavioural information of user is reacquired, and excited data is matched according to the behavioural information got again.
In this step, the excited data is transferred by the database by the operation platform of step S130, and will
The excited data is added in the account information of user, is then monitored to the excited data in account information, mainly
Its frequency of use in preset period of time is monitored, subsequent relevant operation is carried out according to frequency of use of the user to excited data.
Such as, when the frequency of use of user is lower than preset value, then it represents that user swashs this granting within this time
It encourages data to lose interest in or other reasons, needs to reacquire the behavioural information of the user at this time, it further, can will be original
The channel for obtaining the user behavior information is expanded, and is readjusted user by the behavioural information of user in multiple platforms and is drawn
Picture；Or will acquire the acquisition period elongation of the user behavior information, the period of the user behavior information is acquired by elongating, and is obtained
Obtain the authenticity for more about the behavioural information of the user, being more advantageous to and determining the label data of the user.
By the above method reacquire more about the behavioural information of the user after, can be according to behavior information again
To with the matched excited data of user.
The matching process of above-mentioned excited data, first obtain user behavioural information, according to the behavioural information generate with
The relevant user's portrait of user, and drawn a portrait by the user and determine multiple label datas；Then by the number of tags of the user
It is matched according to the excited data with operation platform, and corresponding with user portrait at least according to matching result acquisition
One excited data；The excited data is transferred by the database of the operation platform, and the excited data is added to
In the account information of user；Frequency of use of the excited data in the account information in preset period of time is monitored, is made when described
When being lower than preset value with frequency, the behavioural information of user is reacquired, and excitation is matched according to the behavioural information got again
Data.
This programme according to the behavioural information of the user got generate user portrait, and by user draw a portrait determine it is multiple and
The relevant label data of user will match between the label data and the excited data in operation platform, so as to obtain with
The excited data that user's portrait matches, so that more being matched between excited data and the behavioural information of user；In addition, this programme
The middle excited data identical with user's portrait that will be obtained is stored to user account information, carries out a period of time to account information
Monitoring readjusted and swashed according to the service condition to monitor user during this period of time to the service condition of excited data
The data class of data is encouraged, to further strengthen the accuracy of the information matches degree between the excited data and user, is guaranteed
The excited data of distribution is needed for user.
In one embodiment, the behavioural information may include the characteristic information, object of action and the behavior of user
The corresponding consumption data of object.
In the present embodiment, may include by the behavioural information that server 120 or the page bury the user that point data is got
Characteristic information, object of action and the corresponding consumption data of behavior object of user etc..
Specifically, the characteristic information of above-mentioned user may include age of user, constellation, occupation, gender, hobby and its
His feature related to user etc.；The object of action of above-mentioned user can be the product type of user's purchase, in the information of browsing
Appearance, related content of search etc.；Above-mentioned consumption data corresponding with object of action can be the types of the consumer products, quantity,
The amount of money, the frequency for buying the product etc. are also possible to user and are disappeared using the bill information of credit card and using credit card
The frequency etc. taken.
In one embodiment, pass through the step of user portrait determines multiple label datas in step S110, it can
To include:
(1) the portrait content of user's portrait is identified, and by the portrait content segmentation at multiple general character identification fields；
(2) multiple label datas corresponding with user portrait are determined by the general character identification field.
In above-mentioned steps, the picture for determining that the process of multiple label datas can be first identification user portrait of being drawn a portrait by user
As content, and by the portrait content segmentation at multiple general character identification fields, then drawn by the way that general character identification field is determining with user
As corresponding multiple label datas.
And specifically, it is preferable to be identified by training pattern to the portrait content that user draws a portrait and carry out similarity mode
Deng, it can be to the progress of the parameter in training pattern adjustment appropriate, and consider the front and back two of a certain field to be identified in portrait content
To the term vector of three words, to identify that the field to be identified increases accuracy rate.
Multiple field values are obtained after the portrait content that the user draws a portrait is trained by training pattern, it can be more according to this
Multiple field value will be divided into multiple general character identification fields by the field meanings of a field value, by general character identification field determine with
The corresponding multiple label datas of user's portrait.
Further, above-mentioned label data can be arranged in advance by operation platform, specifically, can be flat according to operation
Big data information in platform generates multiple label datas, will carry out word between the label data and above-mentioned multiple general character identification fields
Justice matching, obtains corresponding with the general character identification field to a label data.
In one embodiment, in step S120 by the excited data of the label data of the user and operation platform into
The step of row matching, may include:
(1) label data of the user and the excited data of operation platform are obtained；
(2) data content of the excited data is parsed, obtains data type corresponding with the excited data；
(3) label data is matched with the excited data according to the data type.
In the present embodiment, the excited data of the label data of user and operation platform is carried out matched specific steps can be with
Including being parsed to the data content of the excited data of acquisition, obtaining the data type of the excited data, will pass through the number
It will be matched between corresponding excited data and label data according to type.
Specifically, when the excited data got is telephone expenses certificate, the content of the telephone expenses certificate is parsed, the words are obtained
Take the information such as use scope, the amount of certificate, determine that the data type of the excited data is service for life class according to the information,
The excited data of the data type is matched with label data, when have in the label data of user life this kind of label of intelligent
When, then the excited data is matched to the user.
In one embodiment, before the excited data being added in the account information of user in step s 130,
Can also include:
Corresponding service life is set according to the data type of the excited data, and the service life is added to institute
It states in excited data.
It, can be according to the excited data after being deployed into the excited data of the user by operation platform in the present embodiment
Data type the excited data is arranged certain service life, and the service life of setting is added to the excited data
In, generate the excited data with service life.
Specifically, then in above-described embodiment for example, when the excited data got be telephone expenses certificate when, to the words
The content of expense certificate is parsed, and is obtained the information such as use scope, the amount of the telephone expenses certificate, is determined the excitation according to the information
The data type of data is service for life class；Further, the frequency that can be consumed according to user to service for life class is to the type
Excited data corresponding service life is set, it is every for e.g., in the behavioural information of the user indicating that user supplements the frequency of telephone expenses with money
Month primary, then being set using the time limit to the telephone expenses certificate of the data type is one month.
Further, from the account information that the Start Date of the service life can be set to being added to user,
Close Date is to extend 30 days backward automatically from Start Date, or the length for extending number of days is adjusted according to the month of Start Date.
Certain service life is set in above-described embodiment to excited data, user can be improved and use the excited data
Probability, and the predetermined period of the excited data frequency of use can be monitored by the setting adjustment of the service life.
In one embodiment, the database by the operation platform of step S130 transfers the excited data, and
After the excited data is added to the step in the account information of user, can also include:
Threshold value of warning is set according to the inventory information of the database, when the inventory information reaches the threshold value of warning
When, the information content of the inventory information is pushed into front end page.
In the present embodiment, after excited data is matched with the label data of user, generated in the database of operation platform
The excited data, and the excited data of generation is managed, associated information is edited, inventory is added, thus in data
Inventory information is formed in library.
When excited data in database from when taking out and being added in the account information of user, to this movement carry out with
Track, to change the inventory data in database in time.
Specifically, mail or short message etc. that threshold value early warning and early warning the inventory information in database can be arranged are led to
Know configuration.After excited data is provided, stockpile number can be consumed, it, can be by the inventory after inventory's consumption reaches the early warning value of setting
The form that information through mail or short message are reminded pushes to front end page, informs that operation personnel replenishes the stock, in order to avoid not because of inventory
Foot and cause to award prizes failure the case where generation.
In one embodiment, in step S140 when the frequency of use be lower than preset value when, reacquire user's
Behavioural information, and after the step of matching excited data again according to the behavioural information, can also include:
(1) when the frequency of use is higher than preset value, the account information is saved into the database, and according to
The label data that account information corresponding user's portrait acquisition user draws a portrait；
(2) limit priority corresponding with user portrait is arranged according to user portrait in the database, and
Excited data corresponding with the label data of user portrait is preferentially pushed by the limit priority.
In the present embodiment, when monitoring user using the frequency of the excited data lower than preset value, re-start above-mentioned
Step S110 and step S120 are to obtain new matching result, when frequency of use is higher than preset value, illustrate that the excited data accords with
User demand is closed, then is saved the account information of the user into the database of operation platform, and is corresponding by account information
User draw a portrait and obtain the label data of user portrait, so that the user to the type provides more excited datas, increase
User experience.
After getting the label data of the user, set in the database of operation platform according to the user of user portrait
It is placed in the corresponding limit priority of user portrait, i.e., by database to corresponding label data in user's portrait of the user etc.
Priority assignation is carried out, excited data corresponding with the label data of user portrait is preferentially pushed by the limit priority.
Specifically, after for the user setting limit priority, by monitoring the user to excited data in account information
Service condition, after using certain excited data, then preferentially the excited data of push same type is selected for user, Huo Ze
In the insufficient situation of database inventory information, preferentially meet the use demand of the user.
In one embodiment, as shown in figure 3, the coalignment structure that Fig. 3 is the excited data in one embodiment is shown
It is intended to, provides a kind of coalignment of excited data in the present embodiment comprising: data generation module 210, Data Matching mould
Block 220, data allocation module 230, data monitoring module 240, in which:
Data generation module 210: it for obtaining the behavioural information of user, is generated according to the behavioural information related to user
User's portrait, and drawn a portrait by the user and determine multiple label datas.
In this module, the historical behavior information of user is preferentially obtained by server 120, which can be with
Browsing record and transaction data etc. including user in transaction platform can also include the personal account information, a of user
People's identity information and Credit Card Swiping record etc..
User's portrait related to user is generated by the behavioural information of the above-mentioned user got, specifically, passes through use
The family type of merchandize of behavior, number of transaction, transaction amount or browsing record etc. in transaction platform, generate the individual with the user
The corresponding user's portrait of identity information, user portrait can characterize all behavioural informations of the user in transaction platform.
In addition, this programme can also bury point data by the page obtains clicking operation, browsing information of the user in related pages
Deng, and the information of acquisition is generated into user related to user and is drawn a portrait.
After above-mentioned generation user's portrait according to the behavioural information of user, multiple number of tags can be determined by user portrait
According to.Specifically, multistage describes the sentence or vocabulary of the behavioural information of user in user's portrait of generation, it can be to the user
Portrait content in portrait carries out the operations such as semantic training, similarity mode, by user draw a portrait in portrait content be divided into it is multiple
Individual field, and assign certain nominal definition etc. for these individual fields, i.e., it can be determined by user portrait more
A label data.
In this module, by the behavioural information of the user got, generation and user after handling behavior information
Relevant user's portrait, is then drawn a portrait by the user and determines multiple label datas relevant to the behavioural information of user, so as to
The behavioural information of user is changed into after label data and is matched between the data class of the excited data in operation platform.
Data match module 220: for the label data of the user to be matched with the excited data of operation platform,
And at least one excited data corresponding with user portrait is obtained according to the matching result.
In this module, the behavioural information of user is got by data generation module 210, and believe according to the behavior of user
Breath generates user's portrait related to user, is drawn a portrait by user and determines multiple label datas related to user, by the label
It is matched between data and the excited data of operation platform, to obtain at least one excitation number corresponding with user's portrait
According to.
It should be noted that the excited data of above-mentioned operation platform refer to Free distribution in operation platform for the platform
User use finance product deduction certificate, oil card, the member of telephone expenses certificate, short-term accident insurance guarantee and some related platforms
Account etc..Here the label data of user refers to label relevant to the personal information of user, behavioural information, such as: financing
Preference, insurance preference, life intelligent, excessive consumption etc..
The label data of user is matched with the excited data of operation platform, for example, the label data of user is reason
When wealth preference, some finance products deduction certificates can be provided, according to the label data to cater to his tastes；When the label data of user
It can be that user provides the related free product such as some oil cards, telephone expenses certificate and make for user according to the label data when for life intelligent
With；Certainly, each user may be corresponding with multiple label datas, and can be that user's matching is corresponding according to multiple label data swashs
Data are encouraged, herein without limitation.
Data allocation module 230: for transferring the excited data by the database of the operation platform, and will be described
Excited data is added in the account information of user.
In this module, pass through the excitation number by the label data of the user and operation platform of data match module 220
According to being matched, and after obtaining at least one excited data corresponding with user portrait according to the matching result, pass through
The database of operation platform transfers the excited data that above-mentioned matching obtains, and the excited data is added to the account information of user
In.
Obtain that corresponding with user's portrait at least one is sharp after label data and excited data above by matching user
Data are encouraged, and the excited data is added in the account information of user, the account information of user is present in the fortune in this programme
It seeks in the database of platform, and shows the account content place of user by front end page, user can search in front end page
About account content part, the matched excited data of promising user is shown in the part, when user needs to use the excited data
When, the excited data can be clicked, link or specific account information etc. in the excited data are obtained, to be carried out in other platforms
Relevant operation.
Further, the excited data transferred from the database of operation platform is virtual product, and in the excited data
It is labeled with service life, using limitation etc., using effectively in the service life, is then considered as in vain, separately more than the service life
Outside, though certain excited datas are shown as virtual product, wherein there are some physical products, e.g., down toy, books, T-shirt
Deng user can ask in shop under defined line in service life.
In addition, user can also share the excited data in account information, more excited datas are obtained, or will
Amount in the excited data is correspondingly improved, service life increases etc., herein without limitation.
Data monitoring module 240: frequency is used in preset period of time for monitoring the excited data in the account information
Rate reacquires the behavioural information of user, and according to the behavioural information weight got when the frequency of use is lower than preset value
New matching excited data.
In this module, the excitation number is transferred by the database by the operation platform of data allocation module 230
According to, and the excited data is added in the account information of user, then the excited data in account information is monitored,
Its frequency of use in preset period of time is mainly monitored, subsequent related behaviour is carried out according to frequency of use of the user to excited data
Make.
Such as, when the frequency of use of user is lower than preset value, then it represents that user swashs this granting within this time
It encourages data to lose interest in or other reasons, needs to reacquire the behavioural information of the user at this time, it further, can will be original
The channel for obtaining the user behavior information is expanded, and is readjusted user by the behavioural information of user in multiple platforms and is drawn
Picture；Or will acquire the acquisition period elongation of the user behavior information, the period of the user behavior information is acquired by elongating, and is obtained
Obtain the authenticity for more about the behavioural information of the user, being more advantageous to and determining the label data of the user.
By the above method reacquire more about the behavioural information of the user after, can be according to behavior information again
To with the matched excited data of user.
The coalignment of above-mentioned excited data, first obtain user behavioural information, according to the behavioural information generate with
The relevant user's portrait of user, and drawn a portrait by the user and determine multiple label datas；Then by the number of tags of the user
It is matched according to the excited data with operation platform, and corresponding with user portrait at least according to matching result acquisition
One excited data；The excited data is transferred by the database of the operation platform, and the excited data is added to
In the account information of user；Frequency of use of the excited data in the account information in preset period of time is monitored, is made when described
When being lower than preset value with frequency, the behavioural information of user is reacquired, and excitation is matched according to the behavioural information got again
Data.
This programme according to the behavioural information of the user got generate user portrait, and by user draw a portrait determine it is multiple and
The relevant label data of user will match between the label data and the excited data in operation platform, so as to obtain with
The excited data that user's portrait matches, so that more being matched between excited data and the behavioural information of user；In addition, this programme
The middle excited data identical with user's portrait that will be obtained is stored to user account information, carries out a period of time to account information
Monitoring readjusted and swashed according to the service condition to monitor user during this period of time to the service condition of excited data
The data class of data is encouraged, to further strengthen the accuracy of the information matches degree between the excited data and user, is guaranteed
The excited data of distribution is needed for user.
The specific of coalignment about excited data limits the matching process that may refer to above for excited data
Restriction, details are not described herein.Modules in the coalignment of above-mentioned excited data can be fully or partially through software, hard
Part and combinations thereof is realized.Above-mentioned each module can be embedded in the form of hardware or independently of in the processor in computer equipment,
It can also be stored in a software form in the memory in computer equipment, execute the above modules in order to which processor calls
Corresponding operation.
In one embodiment it is proposed that a kind of computer equipment, computer equipment include memory, processor and storage
On a memory and the computer program that can run on a processor, processor realize any of the above-described reality when executing computer program
The step of applying the matching process of the excited data of example.
As shown in figure 4, Fig. 4 is the schematic diagram of internal structure of computer equipment in one embodiment.The computer equipment 10
Including the processor 40 and memory 20 that are connected by bus 50 and the network port 30 connected with processor 40.Wherein, should
Data generation module 210, data match module 220, data allocation module are stored in the memory 20 of computer equipment 10
230, data monitoring module 240 when the computer-readable instruction is executed by processor, may make processor 40 to realize a kind of excitation
The matching process of data.The processor 40 of the computer equipment 10 supports entire computer for providing calculating and control ability
The operation of equipment.The network port 30 of the computer equipment 10 is used for by between network implementations server 120 and processor 40
Data exchange.
It will be understood by those skilled in the art that structure shown in Fig. 4, only part relevant to application scheme is tied
The block diagram of structure does not constitute the restriction for the computer equipment being applied thereon to application scheme, specific computer equipment
10 may include perhaps combining certain components or with different component layouts than more or fewer components as shown in the figure.
In one embodiment it is proposed that a kind of computer storage medium, calculating is stored in the computer storage medium
Machine readable instruction, when which is executed by one or more processors, so that one or more processors execute
The step of matching process of the excited data of any of the above-described embodiment.
It should be understood that although each step in the flow chart of attached drawing is successively shown according to the instruction of arrow,
These steps are not that the inevitable sequence according to arrow instruction successively executes.Unless expressly stating otherwise herein, these steps
Execution there is no stringent sequences to limit, can execute in the other order.Moreover, at least one in the flow chart of attached drawing
Part steps may include that perhaps these sub-steps of multiple stages or stage are not necessarily in synchronization to multiple sub-steps
Completion is executed, but can be executed at different times, execution sequence, which is also not necessarily, successively to be carried out, but can be with other
At least part of the sub-step or stage of step or other steps executes in turn or alternately.
The above is only some embodiments of the invention, it is noted that for the ordinary skill people of the art
For member, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications are also answered
It is considered as protection scope of the present invention.
Claims (10)
1. a kind of matching process of excited data, which comprises the steps of:
The behavioural information for obtaining user generates user related to user according to the behavioural information and draws a portrait, and passes through the use
Family portrait determines multiple label datas；
The label data of the user is matched with the excited data of operation platform, and according to the matching result obtain with
The user draws a portrait at least one corresponding excited data；
The excited data is transferred by the database of the operation platform, and the excited data is added to the account of user
In information；
Frequency of use of the excited data in the account information in preset period of time is monitored, when the frequency of use is lower than default
When value, the behavioural information of user is reacquired, and excited data is matched according to the behavioural information got again.
2. determining the step of multiple label datas the method according to claim 1, wherein drawing a portrait by the user
Suddenly, comprising:
Identify the portrait content of user's portrait, and by the portrait content segmentation at multiple general character identification fields；
Multiple label datas corresponding with user portrait are determined by the general character identification field.
3. the method according to claim 1, wherein by the excitation of the label data of the user and operation platform
The step of data are matched, comprising:
Obtain the label data of the user and the excited data of operation platform；
The data content of the excited data is parsed, data type corresponding with the excited data is obtained；
The label data is matched with the excited data according to the data type.
4. according to the method described in claim 3, it is characterized in that, in the account information that the excited data is added to user
In step before, further includes:
Corresponding service life is set according to the data type of the excited data, and the service life is added to and described is swashed
It encourages in data.
5. the method according to claim 1, wherein transferring the excitation by the database of the operation platform
Data, and the excited data is added to after the step in the account information of user, further includes:
Threshold value of warning is set according to the inventory information of the database, it, will when the inventory information reaches the threshold value of warning
The information content of the inventory information pushes to front end page.
6. the method according to claim 1, wherein being reacquired when the frequency of use is lower than preset value
The behavioural information of user, and after the step of matching excited data again according to the behavioural information got, further includes:
When the frequency of use is higher than preset value, the account information is saved into the database, and according to the account
Information corresponding user in family, which draws a portrait, obtains the label data of user's portrait.
7. according to the method described in claim 6, it is characterized in that, when the frequency of use be higher than preset value when, by the account
Family information preservation draws a portrait according to the corresponding user of the account information into the database and obtains the mark of user's portrait
After the step of signing data, further includes:
Limit priority corresponding with user portrait is set in the database according to user portrait, and by described
Limit priority preferentially pushes excited data corresponding with the label data of user portrait.
8. a kind of coalignment of excited data characterized by comprising
Data generation module generates user related to user according to the behavioural information for obtaining the behavioural information of user
Portrait, and drawn a portrait by the user and determine multiple label datas；
Data match module, for the label data of the user to be matched with the excited data of operation platform, and according to
The matching result obtains at least one excited data corresponding with user portrait；
Data allocation module, for transferring the excited data by the database of the operation platform, and by the excitation number
According in the account information for being added to user；
Data monitoring module works as institute for monitoring frequency of use of the excited data in the account information in preset period of time
When stating frequency of use lower than preset value, the behavioural information of user is reacquired, and match again according to the behavioural information got
Excited data.
9. a kind of computer equipment, it is characterised in that: including memory and processor, being stored with computer in the memory can
Reading instruction, which is characterized in that when the computer-readable instruction is executed by the processor, so that the processor is executed as weighed
Benefit require any one of 1 to 7 described in excited data matching process the step of.
10. a kind of computer storage medium, it is characterised in that: be stored with computer-readable finger in the computer storage medium
It enables, when the computer-readable instruction is executed by one or more processors, so that one or more processors execute such as right
It is required that the step of matching process of excited data described in any one of 1 to 7.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112734485A (en) * | 2021-01-13 | 2021-04-30 | 上海群之脉信息科技有限公司 | User intelligent operation system |
| CN112862298A (en) * | 2020-07-09 | 2021-05-28 | 北京睿知图远科技有限公司 | Credit assessment method for user portrait |
| CN114666402A (en) * | 2020-12-23 | 2022-06-24 | 顺丰科技有限公司 | Resource information pushing method and device, computer equipment and storage medium |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20140111137A (en) * | 2013-03-07 | 2014-09-18 | (주)네오위즈게임즈 | Method, server and system for providing coupon of online game |
| CN106127504A (en) * | 2016-06-12 | 2016-11-16 | 北京三快在线科技有限公司 | The method for pushing of electronic article certificate, generation method, device, user terminal and server |
| CN106815738A (en) * | 2015-12-01 | 2017-06-09 | 中国电信股份有限公司 | A kind of method and apparatus for obtaining user's portrait |
| CN106934646A (en) * | 2015-12-31 | 2017-07-07 | 阿里巴巴集团控股有限公司 | The method and apparatus that electronic coupons are delivered in marketing activity |
| CN107464142A (en) * | 2017-08-09 | 2017-12-12 | 南京甄视智能科技有限公司 | Method, the user's portrait system for system of being drawn a portrait based on marketing feedback result back feeding user |
| CN107886356A (en) * | 2017-11-03 | 2018-04-06 | 北京翰宁智能科技有限责任公司 | A kind of dynamic creation method of supermarket's reward voucher denomination |
| CN108985809A (en) * | 2017-06-02 | 2018-12-11 | 北京京东尚科信息技术有限公司 | Motivate method, apparatus, electronic equipment and the storage medium of push |
| CN109003143A (en) * | 2018-08-03 | 2018-12-14 | 阿里巴巴集团控股有限公司 | Recommend using deeply study the method and device of marketing |
-
2019
- 2019-07-05 CN CN201910606308.3A patent/CN110443633A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20140111137A (en) * | 2013-03-07 | 2014-09-18 | (주)네오위즈게임즈 | Method, server and system for providing coupon of online game |
| CN106815738A (en) * | 2015-12-01 | 2017-06-09 | 中国电信股份有限公司 | A kind of method and apparatus for obtaining user's portrait |
| CN106934646A (en) * | 2015-12-31 | 2017-07-07 | 阿里巴巴集团控股有限公司 | The method and apparatus that electronic coupons are delivered in marketing activity |
| CN106127504A (en) * | 2016-06-12 | 2016-11-16 | 北京三快在线科技有限公司 | The method for pushing of electronic article certificate, generation method, device, user terminal and server |
| CN108985809A (en) * | 2017-06-02 | 2018-12-11 | 北京京东尚科信息技术有限公司 | Motivate method, apparatus, electronic equipment and the storage medium of push |
| CN107464142A (en) * | 2017-08-09 | 2017-12-12 | 南京甄视智能科技有限公司 | Method, the user's portrait system for system of being drawn a portrait based on marketing feedback result back feeding user |
| CN107886356A (en) * | 2017-11-03 | 2018-04-06 | 北京翰宁智能科技有限责任公司 | A kind of dynamic creation method of supermarket's reward voucher denomination |
| CN109003143A (en) * | 2018-08-03 | 2018-12-14 | 阿里巴巴集团控股有限公司 | Recommend using deeply study the method and device of marketing |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112862298A (en) * | 2020-07-09 | 2021-05-28 | 北京睿知图远科技有限公司 | Credit assessment method for user portrait |
| CN112862298B (en) * | 2020-07-09 | 2024-02-27 | 北京睿知图远科技有限公司 | Credit evaluation method for user portrait |
| CN114666402A (en) * | 2020-12-23 | 2022-06-24 | 顺丰科技有限公司 | Resource information pushing method and device, computer equipment and storage medium |
| CN112734485A (en) * | 2021-01-13 | 2021-04-30 | 上海群之脉信息科技有限公司 | User intelligent operation system |
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