CN106211107A - A kind of messages recommendation method and system based on big data - Google Patents
A kind of messages recommendation method and system based on big data Download PDFInfo
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- CN106211107A CN106211107A CN201610499162.3A CN201610499162A CN106211107A CN 106211107 A CN106211107 A CN 106211107A CN 201610499162 A CN201610499162 A CN 201610499162A CN 106211107 A CN106211107 A CN 106211107A
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- user
- short message
- linked network
- big data
- enterprise
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/12—Messaging; Mailboxes; Announcements
- H04W4/14—Short messaging services, e.g. short message services [SMS] or unstructured supplementary service data [USSD]
-
- 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
- G06F16/958—Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/06—Protocols specially adapted for file transfer, e.g. file transfer protocol [FTP]
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/55—Push-based network services
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- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Databases & Information Systems (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
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Abstract
The invention discloses a kind of messages recommendation method and system based on big data, user preference is obtained by big data platform, subscriber phone number is found further according to user's aaa authentication flow is counter, when leaving the mobile Internet interfaces such as Enterprise Mobile end page face, mobile phone A PP, wechat public number user, user is sent its enterprise information note interested, on the one hand efficient publicity mode is provided for enterprise, on the other hand the contents such as information of discount interested for user, marketing activity, product introduction are sent by short message mode, promote user's perception.
Description
Technical field
The invention discloses a kind of messages recommendation method and system based on big data, relate to development of Mobile Internet technology neck
Territory.
Background technology
Hang-up short message business is a kind of enterprise information transmission service, after this business of landline telephone application of enterprise, it is possible to
Note information is set.When user dials enterprise's fixed line, during end of conversation, system sends a note immediately to user mobile phone
(no matter whether connecting), makes enterprise information efficient quick transmit.Along with the fast development of mobile Internet, increasing user
By accessing Enterprise Mobile end page face, mobile phone A PP, wechat public number comes and enterprise communication is interactive rather than dials enterprise's fixed line,
The most traditional hang-up short message can not provide service to these certain customers, and future may gradually atrophy.
Presently, there are problems with: (1) existing hang-up short message business exists cannot be mutual for not dialing the movement of enterprise's fixed line
On-line customer provides the defect of service;(2) hang-up short message business can only send same note slogan, efficiency to all users
Relatively low;(3) enterprise cannot use the form of similar hang-up short message to the mobile interchange network users not dialing enterprise's fixed line, and publicity is certainly
Oneself emphasis business and carry out customer care;(4) user can pass through Enterprise Mobile end page face, mobile phone A PP, wechat public number etc.
Mobile interchange net mode obtains enterprise information, but in the face of magnanimity information the most easily ignores the content oneself paid close attention to.
Summary of the invention
The technical problem to be solved is: for the defect of prior art, it is provided that a kind of based on big data short
Method and system recommended by letter, and solving existing hang-up short message business cannot provide for not dialing the mobile interchange network users of enterprise's fixed line
The problem of service, improves hang-up short message publicity efficiency, provides information transfer mode the most efficiently for enterprise, promote user's sense
Know.The present invention obtains user preference by big data platform, finds subscriber phone number further according to user's aaa authentication flow is counter,
When leaving the mobile Internet interfaces such as Enterprise Mobile end page face, mobile phone A PP, wechat public number user, user is sent its sense
The enterprise information note of interest, on the one hand provides efficient publicity mode for enterprise, is on the other hand beaten by interested for user
The contents such as folding information, marketing activity, product introduction are sent by short message mode, promote user's perception.
The present invention solves above-mentioned technical problem by the following technical solutions:
A kind of messages recommendation method based on big data, comprises the following steps:
Step 1, enterprise arrange multiple short message content to be sent by server;
Step 2, user access the mobile Internet channel of enterprise;
Step 3, enterprise servers obtain User IP;
After step 4, user terminate to browse, enterprise servers find the nothing request in the time threshold set of this User IP, it is judged that
This user has terminated this and has browsed;
This User IP is submitted to linked network note system by interface by step 5, enterprise servers, and submits to the linked network short message sending please
Ask;
Step 6, linked network note system look into user's contact method according to User IP is counter;
Step 7, judge whether to find user's contact method, if it is, go to step 8;If it does not, do not send linked network note, and
Notice enterprise servers, flow process terminates;
Step 8, obtain user's contact method;
Subscriber phone number, short message content are submitted to big data platform, and are submitted short message content to by step 9, linked network note system
Screening request;
Step 10, big data platform carry out short message content screening, and feed back the selection result;
Short message sending request is committed to Short Message Service Gateway by step 11, linked network note system;
Step 12, Short Message Service Gateway by linked network short message sending to user mobile phone;
Step 13, linked network note system notice enterprise servers short message sending status.
As present invention further optimization scheme, in step 2, described mobile Internet channel include the mobile terminal page,
Mobile phone A PP or wechat public number.
As present invention further optimization scheme, in step 10, in described the selection result includes user mobile phone number, note
Hold.
As present invention further optimization scheme, in step 6, the described anti-user's of looking into contact method comprises the following steps:
Step 601, in real time analysis aaa authentication flow, filter out wherein from the Accounting Request message of PDSN;
Step 602, analysis Accounting Request message, taking wherein Framed-IP-Address field is user mobile phone
IP, Calling-Station-ID field is user IMSI;
Step 603, User IP, user IMSI are saved as journal file;
Step 604, according to user mobile phone IP and submission time, inquire about its aaa authentication Accounting Request daily record literary composition
IMSI corresponding in part;
Step 605, by the corresponding relation with BSS interface polls user IMSI Yu phone number, obtain corresponding user mobile phone
Number;Obtain result: User IP, user mobile phone number, time.
As present invention further optimization scheme, in step 10, described short message content screens, and comprises the following steps:
Step 1001, big data platform pass through user behavior record data analysis user preference;
Step 1002, according to set analytic angle user is labelled;
Step 1003, by subscriber phone number, user tag preserve to big data platform data base;
Step 1004, by short message content participle, analysis, label warehouse-in;
Step 1005, according to subscriber phone number inquire about user tag;
Step 1006, according to user tag and short message content tag match;
Step 1007, obtain the immediate short message content of matching result;Obtain result: subscriber phone number, short message content.
As present invention further optimization scheme, in step 1001, described user behavior includes the online of user, leads to
Words, note behavior.
As present invention further optimization scheme, in step 1002, the analytic angle of described setting includes web page access
Analysis, keyword search analysis, APP use analysis, APP to download analysis.
The invention also discloses a kind of messages recommendation system based on big data, it is characterised in that: described system includes hanging
Net note system, enterprise servers, big data platform and Short Message Service Gateway, the outfan of described enterprise servers is short with linked network respectively
Communication system is connected with the input of Short Message Service Gateway, and the outfan of linked network note system is connected with big data platform, Yong Husuo
Setting up communication connection at client, enterprise servers, big data platform by the Internet, Short Message Service Gateway is built with customer mobile terminal
Vertical communication connection;
Described linked network note system is responsible for being managed enterprise's linked network short message content, receives short from the linked network of enterprise servers
Letter sends request, and finds subscriber phone number according to user mobile phone IP is counter.Linked network note system is by subscriber phone number and short
After letter content submits to the screening of big data platform, according to the selection result, submit short message sending request to Short Message Service Gateway;
Described enterprise servers provide the user the mobile Internet interface of enterprise, and record use when user comes to visit and leaves
IP address, family, and ask to submit to linked network note system by IP address and linked network short message sending when user leaves;
Described big data platform is responsible for the user's online according to historical accumulation, call, note data, is analyzed user, and
Labelling to user from the multiple angles set, big data platform receives the subscriber phone number and short that linked network note system is submitted to
Letter content, and it is analyzed screening, match most suitable subscriber phone number and short message content, then feed back to linked network
Note system;
Described Short Message Service Gateway receives the short message sending request that linked network note system is submitted to, and note is issued to by sms center
User mobile phone terminal, receives the feedback of status of note to linked network note system by user after being sent completely.
The present invention uses above technical scheme compared with prior art, has following technical effect that
1, more value are created for enterprise
Linked network note provides enterprise information service for mobile interchange network users, effectively extends traditional forms of enterprises's hang-up short message industry
Business scope, provides more propaganda machine meeting for enterprise, thus creates more value.Along with the development of mobile Internet, Yong Huyu
The scene interacted by mobile Internet between enterprise will be far longer than the scene dialing enterprise's fixed line, when the time comes linked network note
Existing hang-up short message will be replaced.
2, provide the user key content to remind, promote user's perception
Under existence conditions, user is obtaining the colleague of magnanimity information by mobile Internet, easily gets lost in information ocean, from
And ignore the content that oneself may need most.The content that user may be needed most by the present invention, when user leaves interface, is passed through
Note carries out emphasis prompting, improves user's perception.
3, support individualized content, promote the value of every note
The present invention supports that the preference of each user is screened most suitable content and is transmitted by an enterprise, and ratio is under prior art,
One enterprise can only send same content to all users and have advantage, more likely catches the point of interest of user.
Accompanying drawing explanation
Fig. 1 is the main flow schematic diagram of the present invention;
Fig. 2 is that subscriber phone number of the present invention is counter looks into flow chart;
Fig. 3 is short message content screening process figure of the present invention;
Fig. 4 is the structural representation of one embodiment of the invention.
Detailed description of the invention
Embodiments of the present invention are described below in detail, and the example of described embodiment is shown in the drawings, the most ad initio
Represent same or similar element to same or similar label eventually or there is the element of same or like function.Below by ginseng
The embodiment examining accompanying drawing description is exemplary, is only used for explaining the present invention, and is not construed as limiting the claims.
Below in conjunction with the accompanying drawings technical scheme is described in further detail:
The present invention proposes a kind of messages recommendation method and system based on big data, obtains user preference by big data platform,
Find subscriber phone number further according to user's aaa authentication flow is counter, leave Enterprise Mobile end page face, mobile phone A PP, wechat user
During the mobile Internet interfaces such as public number, user is sent its enterprise information note interested, on the one hand provide for enterprise
Publicize mode efficiently, on the other hand the contents such as information of discount interested for user, marketing activity, product introduction are passed through note
Mode sends, and promotes user's perception.It is described as follows:
(1) present invention realize flow process
As it is shown in figure 1, be the main flow schematic diagram of present invention linked network based on big data note method, comprise the following steps:
Step A, enterprise arrange multiple short message content to be sent by linked network short message managing interface;
Step B, user mobile phone access the mobile Internet channels such as Enterprise Mobile end page face, mobile phone A PP or wechat public number;
Step C, enterprise servers obtain user mobile phone IP;
Step D, user terminate to browse, and close the page or APP;
Step E, enterprise servers find this user mobile phone IP nothing request in 5 minutes, it is judged that this user has terminated this and browsed;
This user mobile phone IP is submitted to linked network note system by interface by step F, enterprise servers, and submits to linked network note to send out
Send request;
Step G, linked network note system look into subscriber phone number according to user mobile phone IP is counter;
Step H, judge whether to find subscriber phone number, if it is, go to step I1;If it does not, go to step I2;
Step I1, obtain subscriber phone number;
Step I2, do not send linked network note, and notify that enterprise servers, flow process terminate;
Subscriber phone number, short message content are submitted to big data platform, and are submitted short message content to by step J, linked network note system
Screening request;
Step K, big data platform feedback short message content the selection result, including user mobile phone number, short message content;
Short message sending request is committed to Short Message Service Gateway by step L, linked network note system;
Step M, Short Message Service Gateway by linked network short message sending to user mobile phone;
Step N, linked network note system notice enterprise servers short message sending status.
(2) subscriber phone number of the present invention is counter looks into flow process
As in figure 2 it is shown, be the anti-flow chart of looking into of subscriber phone number of the present invention, comprise the following steps:
Step A, in real time analysis aaa authentication flow, filter out wherein from the Accounting Request message of PDSN;
Step B, analysis Accounting Request message, taking wherein Framed-IP-Address field is user mobile phone IP,
Calling-Station-ID field is user IMSI;
Step C, User IP, user IMSI are saved as journal file;
Step D, according to user mobile phone IP and submission time, inquire about it at aaa authentication Accounting Request journal file
In corresponding IMSI;
Step E, by the corresponding relation with BSS interface polls user IMSI Yu phone number (MDN), obtain corresponding user's hands
Plane No. code;
Step F, the result that obtains: User IP, user mobile phone number, time.
(3) short message content screening process of the present invention
As it is shown on figure 3, be short message content screening process figure of the present invention, comprise the following steps:
Step A, big data platform are by behavior analysis user preferences such as user's online, call, notes;
Step B, use from web page access analysis, keyword search analysis, APP analyze, APP downloads multiple angles such as analysis to using
Family labels;
Step C, by subscriber phone number, user tag preserve to big data platform data base;
Step D, by short message content participle, analysis, label warehouse-in;
Step E, according to subscriber phone number inquire about user tag;
Step F, according to user tag and short message content tag match;
Step G, obtain the immediate short message content of matching result;
Step H, the result that obtains: subscriber phone number, short message content.
As shown in Figure 4, for present invention linked network based on big data note system and the structural representation of method one embodiment.
In the present embodiment, including linked network note system, enterprise servers, big data platform and Short Message Service Gateway.
1, linked network note system
Linked network note system is responsible for being managed enterprise's linked network short message content, receives the linked network note from enterprise servers and sends out
Send request, and find subscriber phone number according to user mobile phone IP is counter.Linked network note system is by subscriber phone number and note
Hold after submitting to the screening of big data platform, according to the selection result, submit short message sending request to Short Message Service Gateway.
2, enterprise servers
Enterprise servers provide the user the mobile Internet interfaces such as Enterprise Mobile end page face, mobile phone A PP, wechat public number, and
IP address is recorded when user comes to visit and leaves, and please by IP address and linked network short message sending when user leaves
Ask and submit to linked network note system.
3, big data platform
Big data platform is responsible for the user's online according to historical accumulation, call, note data, is analyzed user, and from many
Individual angle labels to user.Big data platform is responsible in subscriber phone number and the note of reception linked network note system submission
Hold, and it is analyzed screening, match most suitable subscriber phone number and short message content, then feed back to linked network note
System.
4, Short Message Service Gateway
Short Message Service Gateway is responsible for receiving the short message sending request that linked network note system is submitted to, and note is issued to by sms center
User mobile phone terminal, receives the feedback of status of note to linked network note system by user after being sent completely.
Above in conjunction with accompanying drawing, embodiments of the present invention are explained in detail, but the present invention is not limited to above-mentioned enforcement
Mode, in the ken that those of ordinary skill in the art are possessed, it is also possible on the premise of without departing from present inventive concept
Make a variety of changes.The above, be only presently preferred embodiments of the present invention, and the present invention not makees any pro forma limit
System, although the present invention is disclosed above with preferred embodiment, but is not limited to the present invention, any skill being familiar with this specialty
Art personnel, in the range of without departing from technical solution of the present invention, when the technology contents of available the disclosure above make a little change or
It is modified to the Equivalent embodiments of equivalent variations, as long as being that the technology according to the present invention is real without departing from technical solution of the present invention content
Matter, within the spirit and principles in the present invention, any simple amendment, equivalent and the improvement that above example is made
Deng, within all still falling within the protection domain of technical solution of the present invention.
Claims (8)
1. a messages recommendation method based on big data, it is characterised in that comprise the following steps:
Step 1, enterprise arrange multiple short message content to be sent by server;
Step 2, user access the mobile Internet channel of enterprise;
Step 3, enterprise servers obtain User IP;
After step 4, user terminate to browse, enterprise servers find the nothing request in the time threshold set of this User IP, it is judged that
This user has terminated this and has browsed;
This User IP is submitted to linked network note system by interface by step 5, enterprise servers, and submits to the linked network short message sending please
Ask;
Step 6, linked network note system look into user's contact method according to User IP is counter;
Step 7, judge whether to find user's contact method, if it is, go to step 8;If it does not, do not send linked network note, and
Notice enterprise servers, flow process terminates;
Step 8, obtain user's contact method;
Subscriber phone number, short message content are submitted to big data platform, and are submitted short message content to by step 9, linked network note system
Screening request;
Step 10, big data platform carry out short message content screening, and feed back the selection result;
Short message sending request is committed to Short Message Service Gateway by step 11, linked network note system;
Step 12, Short Message Service Gateway by linked network short message sending to user mobile phone;
Step 13, linked network note system notice enterprise servers short message sending status.
A kind of messages recommendation method based on big data, it is characterised in that: in step 2, described shifting
Dynamic internet channels includes the mobile terminal page, mobile phone A PP or wechat public number.
A kind of messages recommendation method based on big data, it is characterised in that: in step 10, described
The selection result includes user mobile phone number, short message content.
A kind of messages recommendation method based on big data, it is characterised in that: in step 6, described instead
Look into user's contact method to comprise the following steps:
Step 601, in real time analysis aaa authentication flow, filter out wherein from the Accounting Request message of PDSN;
Step 602, analysis Accounting Request message, taking wherein Framed-IP-Address field is user mobile phone
IP, Calling-Station-ID field is user IMSI;
Step 603, User IP, user IMSI are saved as journal file;
Step 604, according to user mobile phone IP and submission time, inquire about its aaa authentication Accounting Request daily record literary composition
IMSI corresponding in part;
Step 605, by the corresponding relation with BSS interface polls user IMSI Yu phone number, obtain corresponding user mobile phone
Number;Obtain result: User IP, user mobile phone number, time.
A kind of messages recommendation method based on big data, it is characterised in that: in step 10, described
Short message content screens, and comprises the following steps:
Step 1001, big data platform pass through user behavior record data analysis user preference;
Step 1002, according to set analytic angle user is labelled;
Step 1003, by subscriber phone number, user tag preserve to big data platform data base;
Step 1004, by short message content participle, analysis, label warehouse-in;
Step 1005, according to subscriber phone number inquire about user tag;
Step 1006, according to user tag and short message content tag match;
Step 1007, obtain the immediate short message content of matching result;Obtain result: subscriber phone number, short message content.
A kind of messages recommendation method based on big data, it is characterised in that: in step 1001, institute
State user behavior and include the online of user, call, note behavior.
A kind of messages recommendation method based on big data, it is characterised in that: in step 1002, institute
The analytic angle stating setting includes that web page access analysis, keyword search analysis, APP use analysis, APP to download analysis.
8. a messages recommendation system based on big data, it is characterised in that: described system includes linked network note system, enterprise's clothes
Business device, big data platform and Short Message Service Gateway, the outfan of described enterprise servers respectively with linked network note system and Short Message Service Gateway
Input be connected, the outfan of linked network note system is connected with big data platform, user place client, enterprises service
Device, big data platform set up communication connection by the Internet, and Short Message Service Gateway sets up communication connection with customer mobile terminal;
Described linked network note system is responsible for being managed enterprise's linked network short message content, receives short from the linked network of enterprise servers
Letter sends request, and finds subscriber phone number according to user mobile phone IP is counter;Linked network note system is by subscriber phone number and short
After letter content submits to the screening of big data platform, according to the selection result, submit short message sending request to Short Message Service Gateway;
Described enterprise servers provide the user the mobile Internet interface of enterprise, and record use when user comes to visit and leaves
IP address, family, and ask to submit to linked network note system by IP address and linked network short message sending when user leaves;
Described big data platform is responsible for the user's online according to historical accumulation, call, note data, is analyzed user, and
Labelling to user from the multiple angles set, big data platform receives the subscriber phone number and short that linked network note system is submitted to
Letter content, and it is analyzed screening, match most suitable subscriber phone number and short message content, then feed back to linked network
Note system;
Described Short Message Service Gateway receives the short message sending request that linked network note system is submitted to, and note is issued to by sms center
User mobile phone terminal, receives the feedback of status of note to linked network note system by user after being sent completely.
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