CN106855857A - data correlation method and system - Google Patents
data correlation method and system Download PDFInfo
- Publication number
- CN106855857A CN106855857A CN201510896835.4A CN201510896835A CN106855857A CN 106855857 A CN106855857 A CN 106855857A CN 201510896835 A CN201510896835 A CN 201510896835A CN 106855857 A CN106855857 A CN 106855857A
- Authority
- CN
- China
- Prior art keywords
- user
- data
- social platform
- cell
- latitude
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/955—Retrieval from the web using information identifiers, e.g. uniform resource locators [URL]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/951—Indexing; Web crawling techniques
Abstract
The invention discloses a kind of data correlation method, comprise the following steps:S100:Obtain first user log-on message in internet social platform;S200:Obtain second user log-on message in the social platform including at least user mobile phone number;S300:The access behavioral data of the record parsing second user of the first user social platform is accessed according to the second user;S400:The mobile phone historical record related to the second user cell-phone number is obtained, the consuming capacity data of the second user are parsed according to the historical record;S500:Access behavioral data and the consuming capacity data are associated by the second user cell-phone number.The present invention can provide effective data supporting for microblogging marketing.
Description
Technical field
The invention belongs to areas of information technology, more particularly to a kind of data correlation method and system.
Background technology
The internet indispensable social tool of written people at this stage, for example can people with by internet
On social platform shared, exchanged, currently more well known social platform includes wechat, micro-
Rich, happy net, push away spy, facebook etc..It is social based on internet as social platform function is stronger and stronger
The various marketing methods of platform also arise at the historic moment, and are that businessman, individual etc. create valency by internet social platform
Value becomes relatively common marketing mode, and internet marketing is also businessman or personal social flat by internet
The commercial activity mode of all kinds of demands that platform finds and meets.If microblogging marketing is using microblogging as marketing platform,
Each audience's (bean vermicelli) is potential marketing target, and enterprise utilizes and updates the miniature blog of oneself to online friend
Propagating enterprise information, product information, establish good corporate image and image product.Daily more new content is just
With everybody exchange and interdynamic, or everybody topic interested can be issued, so reach the purpose of marketing.
Each large enterprises are more and more universal using the phenomenon that internet social platform carries out marketing.Nonetheless, internet
Platform does not have user it is difficult to ensure that objectivity, the accuracy of marketing data, cannot more associate with real user
The internet marketing result of data support is simultaneously pessimistic, does not have relatively accurate user object, seeks internet
Pin work is got half the result with twice the effort, and in order to improve the hit rate of internet marketing, analyzes the data cases of Internet user
And purposefully targetedly associate, it is problem demanding prompt solution.
The content of the invention
For the defect of prior art, the invention provides a kind of data correlation method and system.
A kind of data correlation method, comprises the following steps:S100:Obtain the first use in internet social platform
Family log-on message;S200:Obtain second user registration in the social platform including at least user mobile phone number
Information;S300:Record parsing that the first user social platform is accessed according to the second user described the
The access behavioral data of two users;S400:Obtain the mobile phone history note related to the second user cell-phone number
Record, the consuming capacity data of the second user are parsed according to the historical record;S500:By described
The association of two user mobile phone numbers is described to access behavioral data and the consuming capacity data.
Optionally, the first user log-on message in the step S100 includes:Social platform title, account
Title, and/or account ID;Second user log-on message in the step S200 includes:Social platform name
Title, account title, second user cell-phone number, hour of log-on, second user account ID, and/or its is of interest
First user account title, account ID.
Optionally, the step S300 is specifically included:S301:Obtain the second user and access described first
The URL and access time of user social contact platform;S302:Parse the social platform name included in the URL
Title, the account ID of first user and operation note;S303:By second user cell-phone number, access time,
Social platform title, the account ID of first user and operation note are associated, to obtain the second user
Access behavioral data.
Optionally, the step 400 is specifically included:S401:The longitude and latitude in pre-stored multiple residential quarters house
The average salary data of the longitude and latitude and its position vacant of degree and average sales price and multiple work building;S402:
Obtain the mobile phone historical record of the second user cell-phone number, the historical record comprising phone number, the time,
Position area, cell, base station, base station longitude, base station latitude, and/or base station are highly;S403:According to movement
The standard of network obtains the positional information of the second user, and second user is gone out according to the positional information calculation
Longitude and latitude;S404:Longitude and latitude according to second user determines residential quarters, the work that second user occurs
Make building and corresponding period;S405:Judge that the most house of rest period second user occurrence number is small
Area is the place of abode of second user, judges that the most building of working hour second user occurrence number are second
The job site of user;S406:The second user place of abode cell house is obtained from pre-stored data
Average sales price and job site average salary, so as to obtain the consuming capacity data of the second user.
Optionally, the step S404 includes pre-defined working time section and time of having a rest section, and second is used
The most building of number of times that family working time section occurs as job site, by second user time of having a rest section
The most residential quarters of the number of times that is occurred are used as place of abode.
Optionally, the step S403 includes:Timing Advance and radio wave according to movable signal
Propagation rate calculates distance of the second user relative to base station, and it is relative to obtain second user according to direction of arrival
Longitudinal and latitude direction, distance, longitude side according to the second user relative to base station in base station
To the positional information for determining with latitude direction the second user.
Optionally, consuming capacity data described in step S405 include second user place of abode cell house
Average sales price and the average salary of presumption.
A kind of data correlation system, including:First user log-on message acquiring unit, it is social flat for obtaining
First user log-on message on platform;Second user log-on message acquiring unit, user is comprised at least for obtaining
Second user log-on message in the social platform of cell-phone number;First resolution unit, for being visited according to second user
Ask the access behavioral data of the record parsing second user of the first user social platform;Second parsing
Unit, the mobile phone historical record for obtaining the second user cell-phone number is parsed according to the historical record
The consuming capacity data of second user;Data associating unit, for being associated by the second user cell-phone number
It is described to access behavioral data and the consuming capacity data.
Optionally, first resolution unit accesses the first user social activity specifically for obtaining second user
The URL and access time of platform;Parse social platform title included in the URL, first user
Account ID and operation note;Second user cell-phone number, access time, social platform title, first are used
The account ID at family and operation note are associated, to obtain the access behavioral data of the second user.
Optionally, second resolution unit, specifically for being pre-stored the longitude and latitude in multiple residential quarters house
The average salary data of the longitude and latitude and its position vacant of degree and average sales price and multiple work building;Obtain
The mobile phone historical record of the second user cell-phone number, the historical record includes phone number, time, position
Put area, cell, base station, base station longitude, base station latitude, and/or base station highly;According to the system of mobile network
Formula obtains the positional information of the second user, and the longitude and latitude according to second user determines that second user is occurred
Residential quarters, work building and corresponding period;Judge that rest period second user occurrence number is most
Residential quarters be the place of abode of second user, judge the most building of working hour second user occurrence number
Space is the job site of second user;Second user place of abode cell is obtained from pre-stored data
The average sales price in house and the average salary of job site, so as to obtain the consuming capacity of the second user
Data.
The beneficial effects of the invention are as follows:The present invention proposes a kind of data correlation method and system, and it is associated with
Telecom operators, enterprise and social platform tripartite, be with the incidence relation of cell-phone number with social platform account
Center, realizes virtual social platform marketing effectiveness data and secular consumption data correlation, can be effectively
Support each on-line off-line marketing activity of large enterprises' social platform.
Brief description of the drawings
Fig. 1 is the flow chart of data correlation method of the present invention;
Fig. 2 is the flow chart of step S300;
Fig. 3 is the flow chart of step S400;
Fig. 4 is the structural representation of data correlation system of the present invention.
Specific embodiment
It is right below in conjunction with the accompanying drawings to enable the above objects, features and advantages of the present invention more obvious understandable
Specific embodiment of the invention is described in detail, and makes above and other purpose of the invention, feature and excellent
Will definitely become apparent from.Identical reference indicates identical part in whole accompanying drawings.Deliberately press than
Example draws accompanying drawing, it is preferred that emphasis is show purport of the invention.
Embodiment 1
Data correlation method of the invention is described in detail first, the present invention is by obtaining social platform platform
Upper first user log-on message, second user log-on message, access in the social platform according to second user
The access behavioral data of the record parsing second user of first user social platform, uses according to second afterwards
The historical record of family mobile phone parses the consuming capacity data of second user, is closed by the second user cell-phone number
Connection is described to access behavioral data and the consuming capacity data.It is final brought together telecom operators, brand enterprise,
With social platform tripartite, centered on the incidence relation of social platform account and cell-phone number, realize virtual
Social platform marketing effectiveness data and real marketing effectiveness data correlation.
As shown in figure 1, obtaining first user log-on message in internet social platform in the step s 100.With
As a example by microblogging, big V refers to obtain personal authentication in the microblogs such as Sina, Tengxun, Netease in microblogging,
Possess the microblog users of numerous beans vermicelli.Due to the microblog users by certification, can all have after microblogging pet name
Similar to the icon of the English letter " V " of capitalization, therefore, netizen by personal authentication and possesses crowd by this
The microblog users of many beans vermicelli are referred to as big V.These big V generally famous persons for having considerable influence power or famous enterprise,
The user with considerable influence of these authenticated mistakes is referred to as first user by us in this example.For other
Class social platform, such as facebook, top grade is pushed away, it there is also the certified user with numerous beans vermicelli, with
Microblogging is identical, and this kind of user is referred to as into first user in the present invention, and first user would generally be flat in its social activity
Speech of the issue with considerable influence on platform, or issue new product.The preferential letter of new marketing strategies, such as commodity
Breath etc..The log-on message of these first users is stored in the server of microblog, by access service
Device can obtain these log-on messages, and log-on message can include:Registration microblog title, microblog account
Title, and/or account ID.Table 1 for certain group first user log-on message wherein contain platform names,
Account title, account ID and network address, these information are generally filled in when first user is registered by user oneself,
Information is stored in server afterwards, and these information just can be obtained by access server.
Table 1
S200:Obtain second user log-on message in the social platform including at least user mobile phone number.With
As a example by microblogging, in addition to the big V of network, also there are numerous domestic consumers in microblog, these are common
The influence power of user V big not as good as network, they would generally pay close attention to the micro- of its first user interested (big V)
Rich, these users are referred to as " bean vermicelli " of a certain big V, and they are the main objects of microblogging marketing, are passed through
Sending product information, favor information etc. to these users can realize network marketing.Herein we by these
Domestic consumer is referred to as second user.When second user carries out microblogging registration, microblog may require that user is defeated
Enter the log-on message of oneself, these log-on messages contain second user cell-phone number, account title, identity card
Number etc. personal information, after the complete personal information of user input, it is unique that microblog can distribute its to second user
An account ID and record its hour of log-on, title, the account ID of first user (big V) of interest,
Complete user's registration.Cell-phone number, account title, hour of log-on, account ID, of interest
The title of one user (big V), account ID these information are referred to as second user log-on message, these information
Equally it is stored in server, these information just can be obtained by access server.Table 2 shows and obtains
The log-on message of certain second user for taking.Table 2
User mobile phone number | Time | Microblog name | Microblog account | The big V accounts of microblogging | The big V titles of microblogging |
139AAAABBBB | 20150624 | Sina weibo | 7100233252 | 5100233252 | XX groups |
…… | …… | …… | …… | …… | …… |
Under normal circumstances, domestic consumer can access the microblogging of big V, i.e. second user and can access first user
Microblogging, and the operation, these operations such as forwarded, paid attention in, commented on be referred to as access behavior to its blog article
Data.
S300:The record parsing described second of the first user social platform is accessed according to the second user
The access behavioral data of user.Specifically, as shown in Fig. 2 including S301:Obtain the second user
Access the URL and access time of the first user social platform;S302:Parse included in the URL
Social platform title, the account ID of first user and operation note;S303:By second user cell-phone number,
Access time, social platform title, the account ID of first user and operation note are associated, to obtain
State the access behavioral data of second user.
Such as user 139AAAABBBB was in 24 days 19 June in 2015:00 to have paid close attention to official of XX groups micro-
It is rich.Then obtained from micro blog server in step S301 and access related URL:
http://weibo.com/……AccountAdd/5100233252/……;In the URL " weibo "
Microblog title, i.e. Sina weibo are represented, " AccountAdd " is action identifier, each operation mark
Know symbol and represent different operations, action identifier is prestored with corresponding operation and has been stored in database, when
Inquiry database is only needed to after acquisition action identifier just can obtain corresponding operation behavior record, at this
" AccountAdd " is represented and is paid attention in this operation in URL, and " 5100233252 " represent microblogging of interest
ID, parses the URL and obtains microblog title (Sina weibo), the account of first user in step s 302
Number ID (7100233252), operation note (paying attention in), afterwards in step S303 according to being obtained
The account ID (7100233252) of first user reads the cell-phone number in second user log-on message, just second
User mobile phone number, access time, microblog title, first user account ID it is related to operation note
Connection, just obtains a complete microblogging and accesses behavioral data, as shown in table 3.
Table 3
User 139AAAABBBB was in 24 days 19 June in 2015 for another example:10 have received official of XX groups
The message that microblogging sends.Analysis module obtains related urls from DPI systems:http://weibo.com/……
ORIMIDRec/3816943057963859/ ..., " ORIMIDRec " represents action identifier in the URL,
It represents and receives Twitter message;" 3816943057963859 " represent the primary ID of received message, parsing
Obtain the microblogging shown in table 4 and access behavioral data.
Table 4
User mobile phone number | Time | Microblog name | Message Opcode | The big V titles of microblogging | Initial message ID |
139AAAABBBB | 20150624 | Sina weibo | Receive | XX groups | 3816943057963859 |
…… | …… | …… | …… | …… | …… |
S400:The mobile phone historical record related to the second user cell-phone number is obtained, is remembered according to the history
The consuming capacity data of the record parsing second user.As shown in figure 3, it specifically includes S401:It is pre-stored
The longitude and latitude and its recruitment duty of the longitude and latitude and average sales price in multiple residential quarters houses and multiple work building
The average salary data of position;S402:The mobile phone historical record of the second user cell-phone number is obtained, it is described to go through
The Records of the Historian record comprising phone number, the time, position area, cell, base station, base station longitude, base station latitude and/
Or base station is highly;S404:Longitude and latitude according to second user determine the residential quarters that second user occurs,
Work building and the corresponding period;S405:Judge the most house of rest period second user occurrence number
Cell is the place of abode of second user, judges the most building of working hour second user occurrence number as the
The job site of two users;S406:The second user place of abode cell room is obtained from pre-stored data
The average sales price in room and the average salary of job site, so as to obtain the consuming capacity number of the second user
According to.
For example in order to obtain consuming capacity data, the longitude and latitude of multiple residential quarters is pre-stored in step S401
With house average sales price and the longitude and latitude and the average salary data of position vacant of multiple each work building,
As shown in Table 5,6.
Table 5
Residential quarters | Longitude and latitude | Average sales price |
Cell 1 | 10.1345,34.5678 | 7000 |
…… | …… |
Table 6
Work building | Longitude and latitude | Average salary |
Office buildings 1 | 12.1345,50.5678 | 15000 |
…… | …… |
For cell-phone number is for the microblog users of 139AAAABBBB, can be from operator in step S402
Or obtain the historical record of number 139AAAABBBB in network management system, the historical record comprising phone number,
Highly, table 7 shows for time, position area, cell, base station, base station longitude, base station latitude, and/or base station
The historical record of the 139AAAABBBB acquired in it.
Table 7
Wherein TA represents the Timing Advance of movable signal, that reflects the signal of mobile terminal to serving BS
Propagation time, so as to reflect mobile terminal to the distance of base station;AOA represents angle of arrival of the signal relative to base station.
The positional information of second user is obtained according to the standard of mobile network in step S403, according to the position
Information calculates the longitude and latitude of second user.Positional information has according to the standard of mobile network, the difference of version
Institute is different.For example:Positional information is user's longitude and latitude, elevation information in TDD-LTE r10 versions;TDD-LTE
Positional information is Timing Advance TA and direction of arrival AOA in below r10 versions (with respect to base station)
Information etc..User goes out the longitude and latitude of user according to positional information calculation.Standard, version according to mobile network
Difference, algorithm is different.In for example for the following versions of TDD-LTE r10, can according to TA and
The propagation rate of radio wave calculates number 139AAAABBBB when MM with the distance of base station (aa, bb),
Further according to AOA calculate number 139AAAABBBB when the MM with base station (aa, bb) in longitudinal and latitude
The distance in direction is spent, then calculates longitudes and latitudes (ee, ff) of number 139AAAABBBB when MM.Thus
Just the longitude and latitude of second user has been calculated.Each residential quarters, office buildings in city are saved in system
Geography information.Longitude and latitude according to user judges to belong to which residential quarters, office buildings, such as the institute of table 8
Show.Certainly it is also possible to be not belonging to any residential quarters, office buildings, now residential quarters (office
Building) field can for sky.
Table 8
Subscriber Number | Time | Longitude | Latitude | Affiliated city | Residential quarters/office buildings |
139AAAABBBB | 20150620 | gg | kk | Beijing | Office buildings 1 |
…… | …… | …… | …… | …… | …… |
S404:Longitude and latitude according to second user determines residential quarters, the work building that second user occurs
And the corresponding period.Obtaining the longitude and latitude of user's longitude and latitude, the longitude and latitude of residential quarters and work building
After degree, the title of the residential quarters matched with user's longitude and latitude or the title of building can be inquired about, that is, inquired about
With the title of the title of longitude and latitude identical residential quarters or building residing for user, a distance threshold can be set
D, residential quarters or work building by distance between user's longitude and latitude and residential quarters or building longitude and latitude less than D
It is judged to residential quarters or work building that user occurs.Longitude and latitude of such as user at 10 o'clock of the morning
It is gg, kk to spend, and pre-stored A cells longitude and latitude is gg, kk, then judge user in 10 points of appearance of the morning
In A cells.
S405:Judge inhabitation of the most residential quarters of rest period second user occurrence number as second user
Place, judges job site of the most building of working hour second user occurrence number as second user.Tool
For body, by pre-defined working time section and time of having a rest section in step S405, for example, define early daily
7 points to late 7 points is working time section, and late 7 points to second day 7 points of morning was time of having a rest section, by user's work
Make the most building of number of times that the time period occurs as its job site, similarly time of having a rest section occurred
The most residential quarters of number of times as the user place of abode, table 9 illustrates certain second user of acquisition
Job site and time place.
Table 9
The average of second user place of abode cell house is inquired about in step S406 from pre-stored data to sell
Valency and the average salary of job site, so as to obtain the consuming capacity data of the second user.In step
The house average sales price and work of the residence are inquired about in residence and place of working in S405 according to acquired user
Make the average salary in place, the wage income that this average salary is estimated as user, so as to obtain described
The consuming capacity data of second user, as shown in table 10.
Table 10
Subscriber Number | Affiliated city | Residence house average sales price | Presumption wage |
139AAAABBBB | Beijing | 7000 | 15000 |
…… | …… | …… | …… |
S500:Access behavioral data and the consuming capacity number are associated by the second user cell-phone number
According to.It is corresponding by what is obtained in step S505 based on this due to cell-phone number one microblog account of correspondence
Microblogging behavioral data and the consuming capacity data are associated, composition one data record, so as to telecommunications be transported
Battalion business, enterprise and microblog tripartite link together, and the data after association are as shown in table 11.
Table 11
Continuous upper table (table 11)
Continuous upper table (table 11)
Microblog account | Time | Microblog name | The big V webpages of microblogging |
7100233252 | 2015062419:15 | Sina weibo | XX groups |
…… | …… | …… | …… |
Continuous upper table (table 11)
Microblog account | Affiliated city | Residence house average sales price | Presumption wage |
7100233252 | Beijing | 7000 | 15000 |
…… | …… | …… | …… |
It is associated with telecom operators, enterprise and social platform tripartite, with social platform account and cell-phone number
Incidence relation centered on, realize virtual social platform marketing effectiveness data and secular consumption data correlation,
Above-mentioned associated data can be exported to first user, that is, exported to the enterprise for opening up microblogging marketing.So look forward to
The industry microblogging that just can be marketed to it is analyzed, and analyzes microblogging marketing effectiveness, formulates further marketing program etc..
The main introduction carried out to the method for the present invention by taking microblogging this social platform as an example of above-described embodiment, but
It should be understood by those skilled in the art that the method be equally applicable to for example happy net of other social platforms, push away it is special,
Facebook etc., the cell-phone number association second user that second user is again may be by these platforms accesses behavior
Data and customer consumption capacity data, its correlating method are identical with microblogging, and the present invention is not intended to limit social activity
The type of platform.
Embodiment 2
Fig. 4 is referred to, accordingly present invention also offers a kind of data correlation system, including:First user is noted
Volume information acquisition unit, for obtaining first user log-on message in microblog;Second user log-on message
Acquiring unit, for obtaining second user log-on message in the microblog including at least user mobile phone number;The
One user's registration information acquiring unit and second user log-on message acquiring unit connect with the first resolution unit
Connect, first resolution unit is used to access first user microblogging in the microblog according to second user
The microblogging behavioral data of the record parsing second user;Second resolution unit, uses for obtaining described second
The mobile phone historical record of family cell-phone number, the consuming capacity data of second user are parsed according to the historical record;
First resolution unit and the second resolution unit are connected with data associating unit, will parse what is obtained respectively
, to data associating unit, the data associating unit is used to lead to for microblogging behavioral data and consuming capacity data is activation
Cross the association of second user cell-phone number the microblogging behavioral data and the consuming capacity data.
Further, first resolution unit is accessed in the microblog specifically for obtaining second user
The URL and access time of first user microblogging;Parse microblog title, included in the URL
The account ID of one user and operation note;By second user cell-phone number, access time, microblog title,
The account ID of first user and operation note are associated, to obtain the microblogging behavioral data of the second user.
Average sales price and multiple of first resolution unit specifically for pre-stored multiple residential quarters house
The average salary data of each work building position vacant;Obtain the mobile phone history of the second user cell-phone number
Record, the historical record comprising phone number, the time, position area, cell, base station, base station longitude,
Base station latitude, and/or base station are highly;Standard according to mobile network is calculated the positional information of second user,
Go out the longitude and latitude of second user according to the positional information calculation;Longitude and latitude according to second user determines second
Residential quarters, work building and corresponding period that user occurs;Judge that rest period second user goes out
The most residential quarters of occurrence number are the place of abode of second user, judge that working hour second user goes out occurrence
The most building of number are the job site of second user;;Second user is inquired about from pre-stored data to live
The average sales price in place cell house and the average salary of job site, so as to obtain the second user
Consuming capacity data.
The present invention proposes a kind of microblogging marketing data interconnected system and method based on user's telecommunications behavior.This
The System and method for for proposing is invented, telecom operators, brand enterprise, microblog tripartite is brought together, with microblogging
Centered on the incidence relation of account and cell-phone number, realize virtual microblogging marketing effectiveness data and marketed with reality
Effect data is associated, and can effectively support that each on-line off-line marketing activity of large enterprises' microblogging is consistent orderly to open
Exhibition.
Elaborate many details in order to fully understand the present invention in the above description.But more than retouch
It is only presently preferred embodiments of the present invention to state, and the present invention can be with much different from other sides described here
Formula is implemented, therefore the present invention do not limited by specific implementation disclosed above.It is simultaneously any to be familiar with this area
Technical staff in the case where technical solution of the present invention ambit is not departed from, all using the method and skill of the disclosure above
Art content makes many possible variations and modification to technical solution of the present invention, or be revised as equivalent variations etc.
Effect embodiment.Every content without departing from technical solution of the present invention, according to technical spirit of the invention to the above
Any simple modification, equivalent variation and modification that embodiment is done, still fall within technical solution of the present invention protection
In the range of.
Claims (10)
1. a kind of data correlation method, it is characterised in that comprise the following steps:
S100:Obtain first user log-on message in internet social platform;
S200:Obtain second user log-on message in the social platform including at least user mobile phone number;
S300:The record parsing described second of the first user social platform is accessed according to the second user
The access behavioral data of user;
S400:The mobile phone historical record related to the second user cell-phone number is obtained, is remembered according to the history
The consuming capacity data of the record parsing second user;
S500:Access behavioral data and the consuming capacity number are associated by the second user cell-phone number
According to.
2. data correlation method according to claim 1, it is characterised in that in the step S100
First user log-on message is included:Social platform title, account title, and/or account ID;
Second user log-on message in the step S200 is included:Social platform title, account title,
The account title of two user mobile phone numbers, second user account ID, and/or its first user of interest, account
ID。
3. data correlation method according to claim 1, it is characterised in that the step S300 tools
Body includes:
S301:Obtain URL and access time that the second user accesses the first user social platform;
S302:Parse the social platform title included in the URL, the account ID of first user and grasp
Note down;
S303:By second user cell-phone number, access time, social platform title, the account ID of first user,
It is associated with operation note, to obtain the access behavioral data of the second user.
4. data correlation method according to claim 1, it is characterised in that the step 400 is specific
Including:
S401:The longitude and latitude and average sales price in pre-stored multiple residential quarters house and multiple work building
The average salary data of longitude and latitude and its position vacant;
S402:The mobile phone historical record of the second user cell-phone number is obtained, the historical record includes mobile phone
Number, time, position area, cell, base station, base station longitude, base station latitude, and/or base station are highly;
S403:Standard according to mobile network obtains the positional information of the second user, according to the position
Information calculates the longitude and latitude of second user;
S404:Longitude and latitude according to second user determines residential quarters, the work building that second user occurs
And the corresponding period;
S405:Judge inhabitation of the most residential quarters of rest period second user occurrence number as second user
Place, judges job site of the most building of working hour second user occurrence number as second user;
S406:Obtained from pre-stored data the second user place of abode cell house average sales price,
With the average salary of job site, so as to obtain the consuming capacity data of the second user.
5. data correlation method according to claim 4, it is characterised in that the step S404 bags
Pre-defined working time section and time of having a rest section are included, the number of times that second user working time section is occurred is most
Many building as job site, the most residential quarters of number of times that second user time of having a rest section is occurred
As place of abode.
6. data correlation method according to claim 4, it is characterised in that the step S403 includes:
The propagation rate of Timing Advance and radio wave according to movable signal calculates second user relative to base station
Distance, longitudinal and latitude direction, root of the second user relative to base station are obtained according to direction of arrival
Determine the second user relative to the distance of base station, longitudinal and latitude direction according to the second user
Positional information.
7. data correlation method according to claim 4, it is characterised in that described in step S405
Consuming capacity data include the average salary of the average sales price in second user place of abode cell house and presumption.
8. a kind of data correlation system, it is characterised in that including:
First user log-on message acquiring unit, for obtaining first user log-on message in social platform;
Second user log-on message acquiring unit, for obtaining the social platform including at least user mobile phone number
Second user log-on message;
First resolution unit, the record parsing for accessing the first user social platform according to second user
The access behavioral data of the second user;
Second resolution unit, the mobile phone historical record for obtaining the second user cell-phone number, according to described
Historical record parses the consuming capacity data of second user;
Data associating unit, for associating access behavioral data and the institute by the second user cell-phone number
State consuming capacity data.
9. data correlation system according to claim 8, it is characterised in that first resolution unit
The URL and access time of the first user social platform are accessed specifically for obtaining second user;Parsing institute
State social platform title included in URL, the account ID of first user and operation note;Second is used
Family cell-phone number, access time, social platform title, the account ID of first user and operation note are associated,
To obtain the access behavioral data of the second user.
10. data correlation system according to claim 8, it is characterised in that second parsing is single
Unit, specifically for being pre-stored the longitude and latitude and average sales price and multiple work buildings in multiple residential quarters house
The longitude and latitude of space and the average salary data of its position vacant;The mobile phone for obtaining the second user cell-phone number is gone through
The Records of the Historian record, the historical record comprising phone number, the time, position area, cell, base station, base station longitude,
Base station latitude, and/or base station are highly;Standard according to mobile network obtains the positional information of the second user,
Go out the longitude and latitude of second user according to the positional information calculation;Longitude and latitude according to second user determines second
Residential quarters, work building and corresponding period that user occurs;Judge that rest period second user goes out
The most residential quarters of occurrence number are the place of abode of second user, judge that working hour second user goes out occurrence
The most building of number are the job site of second user;The second user is obtained from pre-stored data to occupy
The average sales price in residence point cell house and the average salary of job site, so as to obtain the second user
Consuming capacity data.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510896835.4A CN106855857A (en) | 2015-12-08 | 2015-12-08 | data correlation method and system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510896835.4A CN106855857A (en) | 2015-12-08 | 2015-12-08 | data correlation method and system |
Publications (1)
Publication Number | Publication Date |
---|---|
CN106855857A true CN106855857A (en) | 2017-06-16 |
Family
ID=59131476
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201510896835.4A Pending CN106855857A (en) | 2015-12-08 | 2015-12-08 | data correlation method and system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN106855857A (en) |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110019180A (en) * | 2017-08-10 | 2019-07-16 | 中国电信股份有限公司 | Multi-source data account relating and device |
CN110491090A (en) * | 2019-09-20 | 2019-11-22 | 苏州智博汇能电子科技股份有限公司 | Mid-aged population monitoring method based on mobile phone terminal |
CN113724011A (en) * | 2021-09-02 | 2021-11-30 | 上海掌数科技有限公司 | Method for identifying client by using WeChat private domain operation |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101141484A (en) * | 2007-10-09 | 2008-03-12 | 华为技术有限公司 | Method, device and system of processing network directional data |
CN102595323A (en) * | 2012-03-20 | 2012-07-18 | 北京交通发展研究中心 | Method for obtaining resident travel characteristic parameter based on mobile phone positioning data |
CN103078956A (en) * | 2013-02-01 | 2013-05-01 | 杭州蓝谷科技有限公司 | Information interaction system for realizing accurate data mining |
CN103391512A (en) * | 2012-05-07 | 2013-11-13 | 株式会社日立解决方案 | Position management system |
US20140006372A1 (en) * | 2011-05-12 | 2014-01-02 | Microsoft Corporation | Identifying and recommending experts using shared posts and interactions |
CN103810283A (en) * | 2014-02-20 | 2014-05-21 | 东莞中国科学院云计算产业技术创新与育成中心 | Microblog data acquisition method based on user correlation |
CN104954410A (en) * | 2014-03-31 | 2015-09-30 | 腾讯科技(北京)有限公司 | Message pushing method, device thereof and server |
-
2015
- 2015-12-08 CN CN201510896835.4A patent/CN106855857A/en active Pending
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101141484A (en) * | 2007-10-09 | 2008-03-12 | 华为技术有限公司 | Method, device and system of processing network directional data |
US20140006372A1 (en) * | 2011-05-12 | 2014-01-02 | Microsoft Corporation | Identifying and recommending experts using shared posts and interactions |
CN102595323A (en) * | 2012-03-20 | 2012-07-18 | 北京交通发展研究中心 | Method for obtaining resident travel characteristic parameter based on mobile phone positioning data |
CN103391512A (en) * | 2012-05-07 | 2013-11-13 | 株式会社日立解决方案 | Position management system |
CN103078956A (en) * | 2013-02-01 | 2013-05-01 | 杭州蓝谷科技有限公司 | Information interaction system for realizing accurate data mining |
CN103810283A (en) * | 2014-02-20 | 2014-05-21 | 东莞中国科学院云计算产业技术创新与育成中心 | Microblog data acquisition method based on user correlation |
CN104954410A (en) * | 2014-03-31 | 2015-09-30 | 腾讯科技(北京)有限公司 | Message pushing method, device thereof and server |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110019180A (en) * | 2017-08-10 | 2019-07-16 | 中国电信股份有限公司 | Multi-source data account relating and device |
CN110491090A (en) * | 2019-09-20 | 2019-11-22 | 苏州智博汇能电子科技股份有限公司 | Mid-aged population monitoring method based on mobile phone terminal |
CN113724011A (en) * | 2021-09-02 | 2021-11-30 | 上海掌数科技有限公司 | Method for identifying client by using WeChat private domain operation |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US20170346775A1 (en) | Method and device for pushing information based on communication group | |
CN103023933B (en) | A kind of log-on message Integrated Processing System and method | |
AU2012248986B2 (en) | Method for displaying marker in a map service | |
WO2006129967A1 (en) | Conversation system and method using conversational agent | |
CN104954410A (en) | Message pushing method, device thereof and server | |
CN104391853A (en) | POI (point of interest) recommending method, POI information processing method and server | |
CN102695121A (en) | Method and system for pushing friend information for user in social network | |
JP6086687B2 (en) | Collective targeting system and method using IP address bandwidth | |
CN111460279A (en) | Information recommendation method and device, storage medium and computer equipment | |
CN102025657A (en) | Method and system for inviting friends to join social network by utilizing email | |
CN106855857A (en) | data correlation method and system | |
CN104090980A (en) | Information pushing method and system | |
US20180211259A1 (en) | Artificial Intelligence Based Customer Service and Social Media Method | |
Singh et al. | A true simulation study of three estimators at equal protection of respondents in randomized response sampling | |
CN102664744A (en) | Group-sending recommendation method in network message communication | |
Robinson | Capturing a moving target: interviewing fintech experts via LinkedIn | |
CN103108282A (en) | Information processing method, client, mobile terminal and server | |
CN105978729A (en) | System and method for pushing mobile phone information based on user surfing log and position | |
CN104111981A (en) | Method and device used for providing post messages | |
JP2013105185A (en) | Information collection server, information collection method, and information collection program | |
CN102999581A (en) | Large-user-amount data access and real-time ordering system applied to service | |
CN106973110A (en) | Network real estate sales platform system with instant communication function | |
KR102129255B1 (en) | Real estate information providing method and system with point of view of consumer | |
CN111967915A (en) | Media file delivery method and device, storage medium and electronic device | |
KR102525497B1 (en) | System and method for real estate intermediation |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20170616 |