CN109727101A - Platform information sharing method, equipment, system and computer readable storage medium - Google Patents
Platform information sharing method, equipment, system and computer readable storage medium Download PDFInfo
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- CN109727101A CN109727101A CN201910092165.9A CN201910092165A CN109727101A CN 109727101 A CN109727101 A CN 109727101A CN 201910092165 A CN201910092165 A CN 201910092165A CN 109727101 A CN109727101 A CN 109727101A
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Abstract
The invention discloses a kind of platform information sharing method, equipment, system and computer readable storage mediums, belong to communication technique field.This method is suitable for data sharing server, comprising: carries out data interaction at least one third-party platform and obtains user data, which includes user information and consumption data；The attribute value of user is determined according to the user information；User with same alike result value is classified as a grouping；For statistical analysis to the consumption data of this group of user in a packet to obtain simultaneously storage statistical data, it includes merchant information in the blacklist and white list which, which includes the blacklist and/or white list of each user in the grouping,；Statistical data is sent to third-party platform, merchant information is shown to different user according to the blacklist and/or white list of the statistical data different user from the third-party platform.Using the present invention, no matter user logs in which third-party platform can obtain the merchant information being ranked up according to oneself personal preference in this way.
Description
Technical field
The present invention relates to communication technique field more particularly to a kind of platform information sharing method, equipment, system and computers
Readable storage medium storing program for executing.
Background technique
With the development of the social economy, the rhythm of life of people usually is more compact, the convenience requirement to living and diet
Also it increases accordingly.It is affected by this, take-away receives liking for the favor of the majority of consumers, especially young man.With communication skill
The development of art is taking out platform the major way for having become and taking out and making a reservation of eating using mobile terminal.When user enters take-away
After platform, take out platform can the distance according to the scoring or trade company for taking out trade company apart from user externally sell trade company and be ranked up and show
Show to user, is selected for user.
But take out that trade company's quality is irregular, and user's taste also has a preference, therefore user often put be not very good eating or
Do not like dish of having a meal.And the different take-away trade companies for taking out platform registration is also not exclusively same, therefore when user has changed another
After taking out platform, it is also difficult to select food to one's taste, user experience is bad.
And there is also the same problems for other electric business platforms of the prior art, according to the scoring of trade company or trade company apart from user
Distance trade company is ranked up and is shown, user is difficult to find the commodity for meeting oneself hobby from numerous trade companies.
Summary of the invention
It can in view of this, the purpose of the present invention is to provide a kind of platform information sharing method, equipment, system and computers
Storage medium is read, it can only be according to the scoring or trade company of trade company apart from the far and near to trade company of user to solve prior art electric business platform
It is ranked up and shows, user is difficult to the problem of finding the commodity for meeting oneself hobby from numerous trade companies.
It is as follows that the present invention solves technical solution used by above-mentioned technical problem:
According to the first aspect of the invention, a kind of platform information sharing method is provided, data sharing server is suitable for,
It the described method comprises the following steps:
Data interaction is carried out at least one third-party platform and obtains user data, and the user data includes user information
And consumption data；
The attribute value of user is determined according to the user information；
User with same alike result value is classified as a grouping；
It is for statistical analysis to the consumption data of this group of user in a packet to obtain simultaneously storage statistical data, the statistical number
It include merchant information in the blacklist and white list according to the blacklist and/or white list for including each user in the grouping；
Statistical data is sent to third-party platform, by the third-party platform according to the statistical data different user
Blacklist and/or white list show merchant information to the different user.
According to the second aspect of the invention, a kind of platform information sharing method is provided, third-party platform is suitable for, it is described
Method the following steps are included:
Receive the request that user browses merchant information；
Data call request is sent to data sharing server, the request carries the user information of the user；
Receive blacklist corresponding with the user information and/or white list that the data sharing server returns；
From the trade company rejected in enrolled merchant in the blacklist and/or by enrolled merchant according to the sequence in white list into
After row sequence, Xiang Suoshu user shows merchant information.
According to the third aspect of the present invention, a kind of data sharing server is provided, the data sharing server includes:
Memory, processor and it is stored in the computer program that can be run on the memory and on the processor, the meter
The step as described in first aspect is realized when calculation machine program is executed by the processor.
According to the fourth aspect of the present invention, a kind of third-party platform is provided, the third-party platform include: memory,
Processor and it is stored in the computer program that can be run on the memory and on the processor, the computer program
The step as described in the second aspect is realized when being executed by the processor.
According to the fifth aspect of the present invention, a kind of platform information shared system is provided, the system comprises such as three sides
Data sharing server described in face and at least one third-party platform as described in terms of the 4th.
According to the sixth aspect of the invention, a kind of computer readable storage medium is provided, which is characterized in that the calculating
It is stored with computer program on machine readable storage medium storing program for executing, such as first aspect is realized when the computer program is executed by processor
Or the step of information sharing method described in the second aspect.
Platform information sharing method, equipment, system and the computer readable storage medium of the embodiment of the present invention, utilize data
Shared server and at least one third-party platform carry out data interaction, by obtaining the user information of each third-party platform and disappearing
Take data, the attribute value of user is determined, and user is grouped according to attribute value, according to the consumption data to same group of user
Statistical analysis is that each user customizes blacklist and/or white list, enable third-party platform according to the blacklist of user and/or
White list targetedly shows merchant information to user, and no matter user logs in which third-party platform can obtain root in this way
The merchant information being ranked up according to oneself personal preference.
Detailed description of the invention
Fig. 1 is a kind of flow chart for information sharing method that the embodiment of the present invention one provides；
Fig. 2 is the flow chart of another information sharing method provided by Embodiment 2 of the present invention；
Fig. 3 is the flow chart for another information sharing method that the embodiment of the present invention three provides；
Fig. 4 is a kind of modular structure schematic diagram for data sharing server that the embodiment of the present invention four provides；
Fig. 5 is a kind of modular structure schematic diagram for third-party platform that the embodiment of the present invention five provides.
The embodiments will be further described with reference to the accompanying drawings for the realization, the function and the advantages of the object of the present invention.
Specific embodiment
It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not intended to limit the present invention.
In subsequent description, it is only using the suffix for indicating such as " module ", " component " or " unit " of element
Be conducive to explanation of the invention, itself there is no a specific meaning.Therefore, " module ", " component " or " unit " can mix
Ground uses.
The embodiment of the present invention one provides a kind of information sharing method.The information sharing of the present embodiment is suitable for data sharing
Server.Referring to Fig. 1, method flow includes:
Step S101, data interaction being carried out at least one third-party platform and obtaining user data, which includes
User information and consumption data；
Step S102, the attribute value of user is determined according to the user information；
Step S103, the user with same alike result value is classified as a grouping；
It is step S104, for statistical analysis to the consumption data of this group of user in a packet to obtain simultaneously storage statistical data,
The statistical data includes the blacklist and/or white list of each user in the grouping, is believed in the blacklist and white list comprising trade company
Breath；
Step S105, statistical data is sent to third-party platform, by the third-party platform according to statistical data difference
The blacklist and/or white list of user shows merchant information to the different user.
The data sharing server in practical application, data sharing server can carry out data with all kinds of third-party platforms
Interaction, third-party platform can be electric business platform (including taking out platform).It is from user perspective for according to the attribute of user
Blacklist and/or white list are customized for user, third-party platform is made to show quotient according to customized blacklist and/or white list
Family information.
In a feasible scheme, data sharing server can be periodically to third-party platform request call number of users
According to, can also from third-party platform timing to data sharing server send user data, can also by third-party platform with
After family information changes and (modifies personal information if any new user's registration or old user), the new user data that will acquire is sent to number
According to shared server.
In a feasible scheme, step S102, the attribute value for determining user according to the user information includes:
Corresponding parameter is extracted from the user information according to preset property parameters and its value is inserted into corresponding category
Property parameter in, wherein the property parameters include at least one of following parameter: location parameter, age parameter, preference parameter.
It can be not by all users according to area, age, occupation and taste for taking out platform in practical application
Same type, if user is the high-new section in Xi'an, 18~25 years old, IT practitioner liked eating Sichuan cuisine, this is exactly the user
Attribute.Attribute value is stored in data sharing server.
In practical application, third-party platform can be in user's registration, and filling in basic information in user, (such as user name occupies
Residence etc.) when for user provide preference options for user select.
It, should be for statistical analysis to the consumption data of this group of user in each grouping in a feasible scheme, comprising:
Blacklist is extracted from the consumption data of user each in grouping；
Each trade company is counted in the blacklist by the number of the user La Hei of the grouping；
When certain trade company is more than the first preset value by the number of user La Hei, Wei Laheigai trade company is searched in the grouping
User；Or
Low gradation number of the scoring lower than default scoring of each trade company is extracted from the consumption data of classified statistic；
When the low gradation number is more than the second preset value, the user of Wei Laheigai trade company is searched in the grouping；Or
It is super lower than the low gradation number of default scoring that the scoring to certain trade company is searched according to the consumption data of user each in grouping
Cross the user of third preset value but Wei Laheigai trade company；
Statistic analysis result is sent to third-party platform by this, from the third-party platform according to the statistic analysis result to
Family shows merchant information, comprising:
By the user information of the user found and this do not draw the information of black trade company to be sent to the third of the user's registration
Fang Pingtai shows the information of the trade company to the user from the third-party platform and asks whether not draw this black trade company to pull in black
List.
First preset value in practical application, the second preset value and third preset value can be equal or according to the actual situation
Setting.
Blacklist also is stored in data sharing server.Actually each classified statistic go out the number by user La Hei be more than
The businessman of first preset times can also be individually created a grouping blacklist list and be stored in the data of the grouping.
It should be noted that blacklist and white list alleged by the embodiment of the present invention all refer to for customized blacklist
And white list, it is different from grouping blacklist and grouping white list.
Blacklist is there are two types of generating mode, and a kind of mode is that user actively adds, and another way is data sharing service
Device self study generates.
By take out for, user actively addition a scene be some day user eaten a certain family take-away it is very difficult
It eats, then this family can be taken out by take-away platform and pull in blacklist.The operation that platform discovery user adds blacklist is taken out,
The user information of the user and blacklist are sent jointly into data sharing server.
Data sharing server self study generate, a scene be that data sharing server is in the consumption number to grouping
When according to being counted, a certain take-away is found, being added to the number of blacklist or given a mark lower by the other users of the grouping
Number when reaching some threshold value, data sharing server issues a piece of news to the take-away platform of the user's registration, by outer
Platform is sold to ask whether to need this family blacklist is added.In addition, when some take-away hotel owner is repeatedly given a mark lower by user, number
A piece of news also is issued to the take-away platform of the user's registration according to shared server, asks whether to need this by taking out platform
Blacklist is added in family.
In practical application, when blacklist is added in trade company by user, which can also be fed back to data and be total to by take-away platform
Enjoy server.
It, should be for statistical analysis to the consumption data of this group of user in each grouping in a feasible scheme, comprising:
According to the consumer record of users all in grouping calculate each trade company by consuming frequency and score value；
Each user is calculated in the consuming frequency and scoring of each trade company according to the consumer record of user each in the grouping；
Each user in consuming frequency in this group of user of the consuming frequency of each trade company and scoring and each trade company and is commented
Divide and be weighted, obtains each user to the serious hope value of each trade company；
According to serious hope value be that each user customizes white list, the trade company in the white list according to the serious hope value from high in the end
It is ranked up.
In practical application, white list also is stored in data sharing server.Also, subsequent statistical for convenience
Analysis, can calculated according to the consumer record of users all in grouping each trade company by consuming frequency and score value after according to calculate tie
Fruit is grouped sequence to each trade company, and stores the packet sequencing.It is also possible in disappearing according to user each in the grouping
Take record and calculate each user after the consuming frequency of each trade company and to the scoring of each trade company, according to calculated result to each trade company for every
A user carries out user's sequence, and stores user sequence.
In practical application, white list can be generated by self study.
Still for taking out, data sharing server can be fixed for sole user to all take-away hotel owners in all current locales
System privatization scoring.Data sharing server reads the take-away order data with all users in a grouping, obtains each take-away
Determined frequency and scoring, while reading scoring and frequency of the user to take-away, by respectively taken out in grouping determined frequency and
Scoring is weighted both the scoring of take-away and frequency to obtain the serious hope value of the user with the user, finally obtains according to the use
In take-away list deposit white list after the sequence of family serious hope value, this list can be updated according to time change.
The platform information sharing method of the present embodiment is carried out using data sharing server and at least one third-party platform
Data interaction determines the attribute value of user by obtaining the user information and consumption data of each third-party platform, and by user's root
Be grouped according to attribute value, according to the statistical analysis of the consumption data to same group of user be each user customize blacklist and/or
White list enables third-party platform targetedly to show trade company's letter to user according to the blacklist and/or white list of user
Breath, no matter user logs in which third-party platform can obtain the trade company's letter being ranked up according to oneself personal preference in this way
Breath.
On the basis of previous embodiment, second embodiment of the present invention provides another platform information sharing methods, are applicable in
In third-party platform.Data sharing server can carry out data interaction with all kinds of third-party platforms, and third-party platform can be
Electric business platform (including taking out platform).Referring to Fig. 2, method includes the following steps:
Step S201, the request that user browses merchant information is received；
Step S202, data call request is sent to data sharing server, which carries the user information of the user；
Step S203, the blacklist corresponding with the user information and/or white name that the data sharing server returns are received
It is single；
Step S204, from the trade company rejected in enrolled merchant in the blacklist and/or by enrolled merchant according in white list
Sequence be ranked up after, to the user show merchant information.
In a feasible scheme, this method further include:
When preset time occurs, user data is sent to shared server, which includes user information and disappear
Take data, so that the data sharing server is that the user customizes blacklist and/or white list according to the user data.
In practical application, preset time may include: user data is updated or receives the data sharing server
Request or reach scheduled time.The user data of transmission is the user data updated under normal circumstances.
In practical application, data sharing server can timing to third-party platform request call user data, can also be with
User data is sent from third-party platform timing to data sharing server, can also be updated by third-party platform in user information
After (modifying personal information if any new user's registration or old user) or when user increases black list user, what be will acquire is new
User data is sent to data sharing server.
The platform information sharing method of the present embodiment is carried out using data sharing server and at least one third-party platform
Data interaction determines the attribute value of user by obtaining the user information and consumption data of each third-party platform, and by user's root
Be grouped according to attribute value, according to the statistical analysis of the consumption data to same grouping user be each user customize blacklist and/
Or white list, so that third-party platform is targetedly shown trade company to user according to the blacklist and/or white list of user
Information, no matter user logs in which third-party platform can obtain the trade company's letter being ranked up according to oneself personal preference in this way
Breath.
On the basis of previous embodiment, the embodiment of the present invention three provides another platform information sharing method.This implementation
Example is illustrated for taking out platform information and sharing.
Assuming that shared data bank is carried out according to the registration user that the user data of more take-away platforms is a platform
It is grouped and has customized blacklist and white list, certain user takes out in Baidu and registers, and data sharing server determines for it
Attribute is grouped and has customized blacklist and white list, which takes out in Meituan again and register.
Referring to Fig. 3, the shared method flow for taking out data includes:
Step S301, Meituan takes out platform and the user data of new registration user A is sent to data sharing server.
Specifically, the user information in user data includes user name A, regional parameters B, taste preference parameter C, number is consumed
According to being empty.
Step S302, data sharing server extracts user name A, regional parameters B and taste preference ginseng in user data
Number C determines that the attribute value of user A is B and C.
Step S303, user A is divided into the grouping D that attribute value is B and C by data sharing server.
Step S304, data sharing server transfers user white list of the grouping white list of grouping D as user A, together
When transfer grouping D grouping blacklist list, send it to Meituan take out platform.
Step S305, Meituan takes out platform and the grouping blacklist list is sent to user A, and asks whether to be grouped black
Trade company in list list is added in subscriber blacklist, and the selection information of user A is sent to data sharing server.
, can be when inquiry will be grouped the trade company in blacklist list and be added in subscriber blacklist in practical application, it can be with
Choice box is set for each of blacklist list trade company, user may be selected a portion and blacklist is added.
Step S306, data sharing server receives the selection information of user A, selects information for user A foundation according to this
Subscriber blacklist list.
Step S307, Meituan takes out platform and receives the request for entering take-away browsing pages that user A is sent, to data sharing
Server sends data call request, and the user data of user A is carried in the request.
Step S308, data sharing server according to data call request in user name and user property determine the user
A is the user being grouped in D, and the blacklist of the user A is transferred from grouping D and white list is sent to Meituan and takes out.
Step S309, Meituan takes out platform from the trade company in the blacklist for rejecting user A in trade company, by pressing for remaining trade company
According to the serious hope degree rearrangement in white list.
In this way when user is when Meituan take-away is ordered, user's point can be avoided as far as possible to not liking to eat, it can also be quick
It helps user to find the take-away trade company for nearby meeting oneself taste preference, is greatly improved user experience.Likewise, because number
Shared third-party according to the data in shared server, thus when no matter user open Meituan, be hungry, Baidu be all one
The realization effect of sample, is greatly improved user experience.
On the basis of previous embodiment, the embodiment of the present invention four provides a kind of data sharing server, please refers to figure
4 comprising memory 401, processor 402 and be stored in the meter that can be run on the memory 401 and on the processor 402
Calculation machine program 403, the computer program 403 realize following steps when being executed by the processor 402:
With at least one third-party platform carry out data interaction obtain user data, the user data include user information and
Consumption data；
The attribute value of user is determined according to the user information；
User with same alike result value is classified as a grouping；
It is for statistical analysis to the consumption data of this group of user in a packet to obtain simultaneously storage statistical data, the statistical data
Blacklist and/or white list including each user in the grouping include merchant information in the blacklist and white list；
Statistical data is sent to third-party platform, by the third-party platform according to the black name of the statistical data different user
List and/or white list show merchant information to the different user.
In a feasible scheme, when executing the step of attribute value for determining user according to the user information, the meter
Calculation machine program 403 also realizes following steps when being executed by the processor 402:
Corresponding parameter is extracted from the user information according to preset property parameters and its value is inserted into corresponding category
Property parameter in, wherein the property parameters include at least one of following parameter: location parameter, age parameter, preference parameter.
It is for statistical analysis to the consumption data of this group of user in each grouping executing in a feasible scheme
When step, which also realizes following steps when being executed by the processor 402:
Blacklist is extracted from the consumption data of user each in grouping；
Each trade company is counted in the blacklist by the number of the user La Hei of the grouping；
When certain trade company is more than the first preset value by the number of user La Hei, Wei Laheigai trade company is searched in the grouping
User；Or
Low gradation number of the scoring lower than default scoring of each trade company is extracted from the consumption data of classified statistic；
When the low gradation number is more than the second preset value, the user of Wei Laheigai trade company is searched in the grouping；Or
It is super lower than the low gradation number of default scoring that the scoring to certain trade company is searched according to the consumption data of user each in grouping
Cross the user of third preset value but Wei Laheigai trade company.
Statistical data is sent to third-party platform executing, by the third-party platform according to the statistical data different user
Blacklist and/or white list to the different user show merchant information step when, the computer program is by the processor 402
Following steps are also realized when execution:
By the user information of the user found and this do not draw the information of black trade company to be sent to the third of the user's registration
Fang Pingtai shows the information of the trade company to the user from the third-party platform and asks whether not draw this black trade company to pull in black
List.
It is for statistical analysis to the consumption data of this group of user in each grouping executing in a feasible scheme
When step, which also realizes following steps when being executed by the processor 402:
According to the consumer record of users all in grouping calculate each trade company by consuming frequency and score value；
Each user is calculated in the consuming frequency and scoring of each trade company according to the consumer record of user each in the grouping；
Each user in consuming frequency in this group of user of the consuming frequency of each trade company and scoring and each trade company and is commented
Divide and be weighted, obtains each user to the serious hope value of each trade company；
According to serious hope value be that each user customizes white list, the trade company in the white list according to the serious hope value from high in the end
It is ranked up.
The data sharing server of the present embodiment and at least one third-party platform carry out data interaction, by obtaining each the
The user information and consumption data of tripartite's platform determine the attribute value of user, and user be grouped according to attribute value, according to
Statistical analysis to the consumption data of same group of user is that each user customizes blacklist and/or white list, enables third-party platform
Enough blacklists and/or white list according to user targetedly show merchant information to user, and no matter which user logs in this way
A third-party platform can obtain the merchant information being ranked up according to oneself personal preference.
On the basis of previous embodiment, the embodiment of the present invention five provides a kind of third-party platform, referring to Fig. 5, this
Tripartite's platform includes: memory 501, processor 502 and is stored on the memory and can run on the processor 502
Computer program 503, the computer program 503 realize following steps when being executed by the processor 502:
Receive the request that user browses merchant information；
Data call request is sent to data sharing server, which carries the user information of the user；
Receive the blacklist corresponding with the user information and/or white list of data sharing server return；
It is carried out from the trade company rejected in enrolled merchant in the blacklist and/or by enrolled merchant according to the sequence in white list
After sequence, merchant information is shown to the user.
It is for statistical analysis to the consumption data of this group of user in each grouping executing in a feasible scheme
When step, which also realizes following steps when being executed by the processor 502:
Data interaction is carried out with the shared server, sends user data to the shared server, which includes
User information and consumption data, so that data sharing server is that user customizes blacklist and/or white list according to user data.
The third-party platform and data sharing server of the present embodiment carry out data interaction, are every by data sharing server
A user customizes blacklist and/or white list, and third-party platform is enable to be directed to according to the blacklist and/or white list of user
Property show merchant information to user, no matter user logs in which third-party platform can be obtained according to oneself personal happiness in this way
The merchant information being ranked up well.
On the basis of previous embodiment, the embodiment of the present invention six provides a kind of platform information shared system, the system
Including data sharing server as described in the fourth embodiment and at least one third-party platform as described in the 5th embodiment.
The platform information shared system of the present embodiment is carried out using data sharing server and at least one third-party platform
Data interaction determines the attribute value of user by obtaining the user information and consumption data of each third-party platform, and by user's root
Be grouped according to attribute value, according to the statistical analysis of the consumption data to same group of user be each user customize blacklist and/or
White list enables third-party platform targetedly to show trade company's letter to user according to the blacklist and/or white list of user
Breath, no matter user logs in which third-party platform can obtain the trade company's letter being ranked up according to oneself personal preference in this way
Breath.
On the basis of previous embodiment, the embodiment of the present invention seven provides a kind of computer readable storage medium, special
Sign is, computer program is stored on the computer readable storage medium, when the computer program is executed by processor
The step of realizing the information sharing method as described in first embodiment, second embodiment or 3rd embodiment.
The computer readable storage medium of the present embodiment, using data sharing server and at least one third-party platform into
Row data interaction determines the attribute value of user by obtaining the user information and consumption data of each third-party platform, and by user
Be grouped according to attribute value, according to the statistical analysis of the consumption data to same group of user be each user customize blacklist and/
Or white list, so that third-party platform is targetedly shown trade company to user according to the blacklist and/or white list of user
Information, no matter user logs in which third-party platform can obtain the trade company's letter being ranked up according to oneself personal preference in this way
Breath.
It should be noted that, in this document, the terms "include", "comprise" or its any other variant are intended to non-row
His property includes, so that the process, method, article or the device that include a series of elements not only include those elements, and
And further include other elements that are not explicitly listed, or further include for this process, method, article or device institute it is intrinsic
Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including being somebody's turn to do
There is also other identical elements in the process, method of element, article or device.
The serial number of the above embodiments of the invention is only for description, does not represent the advantages or disadvantages of the embodiments.
Through the above description of the embodiments, those skilled in the art can be understood that above-described embodiment side
Method can be realized by means of software and necessary general hardware platform, naturally it is also possible to by hardware, but in many cases
The former is more preferably embodiment.Based on this understanding, technical solution of the present invention substantially in other words does the prior art
The part contributed out can be embodied in the form of software products, which is stored in a storage medium
In (such as ROM/RAM, magnetic disk, CD), including some instructions are used so that a terminal (can be mobile phone, computer, service
Device, air conditioner or network equipment etc.) execute method described in each embodiment of the present invention.
The embodiment of the present invention is described with above attached drawing, but the invention is not limited to above-mentioned specific
Embodiment, the above mentioned embodiment is only schematical, rather than restrictive, those skilled in the art
Under the inspiration of the present invention, without breaking away from the scope protected by the purposes and claims of the present invention, it can also make very much
Form, all of these belong to the protection of the present invention.
Claims (10)
1. a kind of platform information sharing method is suitable for data sharing server, the described method comprises the following steps:
Data interaction is carried out at least one third-party platform and obtains user data, and the user data includes user information and disappears
Take data；
The attribute value of user is determined according to the user information；
User with same alike result value is classified as a grouping；
It is for statistical analysis to the consumption data of this group of user in a packet to obtain simultaneously storage statistical data, the statistical data packet
The blacklist and/or white list of each user in the grouping are included, includes merchant information in the blacklist and white list；
Statistical data is sent to third-party platform, by the third-party platform according to the black name of the statistical data different user
List and/or white list show merchant information to the different user.
2. platform information sharing method as described in claim 1, which is characterized in that described determined according to the user information is used
The attribute value at family includes:
Corresponding parameter is extracted from the user information according to preset property parameters and its value is inserted into corresponding attribute
In parameter, wherein the property parameters include at least one of following parameter: location parameter, age parameter, preference parameter.
3. platform information sharing method as described in claim 1, which is characterized in that it is described in each grouping to this group of user's
Consumption data is for statistical analysis, comprising:
Blacklist is extracted from the consumption data of user each in grouping；
Each trade company is counted in the blacklist by the number of the user La Hei of the grouping；
When certain trade company is more than the first preset value by the number of user La Hei, searches do not draw the black trade company in the grouping
User；Or
Low gradation number of the scoring lower than default scoring of each trade company is extracted from the consumption data of classified statistic；
When the low gradation number is more than the second preset value, the user for not drawing the black trade company is searched in the grouping；Or
Searching the scoring to certain trade company lower than the low gradation number of default scoring according to the consumption data of user each in grouping is more than the
Three preset values but the user for not drawing the black trade company；
It is described that statistical data is sent to third-party platform, by the third-party platform according to the statistical data different user
Blacklist and/or white list show merchant information to the different user, comprising:
The user information of the user found and the information for not drawing black trade company are sent to the third of the user's registration
Fang Pingtai shows the information of the trade company to the user from the third-party platform and asks whether not drawing black quotient for described
Family pulls in blacklist.
4. platform information sharing method as described in claim 1, which is characterized in that it is described in each grouping to this group of user's
Consumption data is for statistical analysis, comprising:
According to the consumer record of users all in grouping calculate each trade company by consuming frequency and score value；
Each user is calculated in the consuming frequency and scoring of each trade company according to the consumer record of user each in the grouping；
Consuming frequency to each user in the consuming frequency of each trade company and scoring and each trade company in this group of user
And scoring is weighted, and obtains each user to the serious hope value of each trade company；
According to serious hope value be that each user customizes white list, the trade company in the white list according to the serious hope value from high in the end
It is ranked up.
5. a kind of platform information sharing method is suitable for third-party platform, the described method comprises the following steps:
Receive the request that user browses merchant information；
Data call request is sent to data sharing server, the request carries the user information of the user；
Receive blacklist corresponding with the user information and/or white list that the data sharing server returns；
It is arranged from the trade company rejected in enrolled merchant in the blacklist and/or by enrolled merchant according to the sequence in white list
After sequence, Xiang Suoshu user shows merchant information.
6. platform information sharing method as claimed in claim 5, which is characterized in that the method also includes:
When predeterminable event occurs, Xiang Suoshu shared server send user data, the user data include user information and
Consumption data, so that the data sharing server is that the user customizes blacklist and/or white name according to the user data
It is single.
7. a kind of data sharing server, which is characterized in that the data sharing server include: memory, processor and
It is stored in the computer program that can be run on the memory and on the processor, the computer program is by the processing
The step as described in Claims 1-4 is realized when device executes.
8. a kind of third-party platform, which is characterized in that the third-party platform includes: memory, processor and is stored in institute
The computer program that can be run on memory and on the processor is stated, when the computer program is executed by the processor
Realize such as step described in claim 5 or 6.
9. a kind of platform information shared system, which is characterized in that the system comprises data sharing as claimed in claim 7 clothes
Business device and at least one third-party platform as claimed in claim 8.
10. a kind of computer readable storage medium, which is characterized in that be stored with computer on the computer readable storage medium
Program realizes such as information sharing method described in any one of claims 1 to 6 when the computer program is executed by processor
The step of.
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