CN106169133A - A kind of talent market commending system based on RESTful style - Google Patents
A kind of talent market commending system based on RESTful style Download PDFInfo
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Abstract
The invention discloses a kind of talent market commending system based on RESTful style, this system includes web station system module, system and the interface module of user, receives the input data of user and services request and to user feedback inquiry and the result recommended；Described web station system module farther includes student's module and enterprise module, be respectively utilized to complete User and the registration of enterprise customer, log in, guide and to User to resume, position, enterprise and enterprise customer to resume, position, the foundation of recruitment fair, obtain, update and deletion action；Wherein, the information relevant to student/enterprise customer all stores with the form of URI resource, by the foundation of described URI resource, obtain, update and deletion action obtains service；Personalized recommendation module, carries out the personalized recommendation of talent market based on the information relevant to student/enterprise customer.This system is simple to operate flexibly, it is easy to extension, and the performance of system and stability are improved.
Description
Technical field
The invention belongs to Network application and development field, particularly relate to a kind of talent market based on RESTful style and recommend
System.
Background technology
Talent market commending system is the data handling system of a kind of computer intensive type.Existing talent market commending system
It is primarily present problems with, it is recommended that there is between algorithm and system platform the coupled relation of complexity, it is recommended that the change of algorithm will be drawn
Play the redesign of corresponding system.In the storage of system data, cross conference due to data volume and bring inconvenience, access speed meeting
Impacted, can be to having an impact alternately when Server Restart.It addition, the load-balancing performance of system is bad, poor stability, and can
Autgmentability is low.
Summary of the invention
One of the technical problem to be solved is to need to provide a kind of talent market commending system existing to solve
The problem that between commending system proposed algorithm and system platform, coupled relation is complicated, access speed is limited, system stability is poor.
In order to solve above-mentioned technical problem, embodiments herein provides a kind of employment based on RESTful style letter
Breath commending system, including: the interface module of web station system module, system and user, the input data and the service that receive user please
Ask and to user feedback inquiry and the result recommended；Described web station system module farther includes student's module and enterprise module,
Described student's module be used for User registration, log in, individual guide and to resume, position, the foundation of enterprise, obtain
Take, update and deletion action；Described enterprise module be used for enterprise customer registration, log in, enterprise guide and to resume,
Position, the foundation of recruitment fair, obtain, update and deletion action；Wherein, relevant to student/enterprise customer information all provides with URI
Source form storage, by the foundation of described URI resource, obtain, update and deletion action obtain service；Personalized recommendation mould
Block, carries out the personalized recommendation of talent market based on the information relevant to student/enterprise customer.
Preferably, described system is built based on browser/server and client/server mixed architecture, wherein, and client
End includes personal computer browser and mobile device client, it is possible to receive student/enterprise customer URI based on system resource
Dynamic requests and static requests, by described request send to server end and receive server end response results；Service
The Web server of device end uses the mode of APACHE with TOMCAT cluster to build, and the static requests of student/enterprise customer is by directly
Being stored in the static resource catalogue of server, dynamic requests determines by which service page or business mould via CXF controller
Block responds this request；The data base of server end uses MYSQL with MONGODB to combine and builds, and described MONGODB is used for storing
The authentication information of student/enterprise customer and personalized recommendation parameter, described MYSQL is used for storing student/enterprise customer except above-mentioned
Other information beyond information.
Preferably, described personalized recommendation module is rung by calling the client-side interface of ACTIVEMQ Message Queuing server
The personalized ventilation system answering User is asked.
Preferably, described personalized recommendation module please according to the personalized ventilation system of following steps response User
Ask: the tendentiousness information that User is inputted by Web server sends and deposits to the message queue of ACTIVEMQ server
Storage；Personalized recommendation process according to time of system and generating random number ID and is stored in MONGODB data by described No. ID
In storehouse；Personalized recommendation process monitoring information queue, to obtain tendentiousness information, obtains recommending knot according to described tendentiousness information
Really, and set up with the queue of described No. ID name, recommendation results is stored in this queue；Web server is from MONGODB data
Storehouse is inquired about described No. ID, and obtains recommendation results from described No. ID queue matched.
Preferably, if Web server gets recommendation from described No. ID queue matched within the time set
As a result, then show recommendation results by page rendering, and described recommendation results is stored to MYSQL database；If Web service
Device does not gets recommendation results within the time set, then return empty array, and believed without the prompting of recommendation items by page display
Breath.
Preferably, described system uses access-control filter to monitor student/enterprise customer to the access of this system and behaviour
Make.
Preferably, when student/enterprise customer sends access or operation requests, described access-control filter judges described
The type of request: if described request belongs to the type that can be cleared, then allow student/enterprise customer to the access of system or behaviour
Ask；If described request is not belonging to the type that can be cleared, then obtained by the authentication information of described student/enterprise customer
The type of user, and perform user type Authority Verification and the logging status renewal matched.
Preferably, described access-control filter updates with logging status at the user type Authority Verification performing to match
Time, check whether the request of described student/enterprise customer is to log in relevant request with user, if logging in relevant with user
Root path is asked, then, when during student/enterprise customer is already at effective logging status, respond this request and be forwarded to use householder
Page；When the logging status of student/enterprise customer had lost efficacy, respond this request and be forwarded to the login page of user；If with
User logs in unrelated general business request, then check the logging status of corresponding user type and be updated.
Preferably, described access-control filter according to the logging status of following steps inspection correspondence user type and is carried out
Updating, if the last request time of request time distance of the type user is less than or equal to very first time threshold value, then letting pass should
Ask；If the last request time of request time distance of the type user is more than very first time threshold value and less than or equal to the second time
Threshold value, then update the login time of this user this request of letting pass；If the last request of request time distance of the type user
Time is more than the second time threshold, then delete this session and be forwarded to the login page of user.
Preferably, described system is divided into Business Logic and data persistence layer in business, described Business Logic, persistently
Change layer and CXF controller is all managed by SPRING container.
Compared with prior art, the one or more embodiments in such scheme can have the advantage that or useful effect
Really:
By all requests of Web are modeled as the operation to resource, and utilizing HTTP method to process service request, it is right to make
The operation of system is simpler flexibly, improves the system expandability.Simultaneously because have employed system tray based on RESTful style
Structure, decouples the recommendation process of computer intensive type, improves performance and the stability of system with system platform.
Other advantages of the present invention, target, and feature will be illustrated to a certain extent in the following description, and
And to a certain extent, will be apparent to those skilled in the art based on to investigating hereafter, or can
To be instructed from the practice of the present invention.The target of the present invention and other advantages can pass through description below, and right is wanted
The structure asking specifically noted in book, and accompanying drawing realizes and obtains.
Accompanying drawing explanation
Accompanying drawing is used for providing being further appreciated by of the technical scheme to the application or prior art, and constitutes description
A part.Wherein, the accompanying drawing expressing the embodiment of the present application is used for explaining the technical side of the application together with embodiments herein
Case, but it is not intended that the restriction to technical scheme.
Fig. 1 is the functional schematic of the talent market commending system based on RESTful style according to the embodiment of the present invention；
Fig. 2 a and Fig. 2 b is respectively talent market commending system based on RESTful style according to embodiments of the present invention
The workflow schematic diagram of student's module and enterprise module；
Fig. 3 is that the system architecture of the talent market commending system based on RESTful style according to the embodiment of the present invention is shown
It is intended to；
Fig. 4 is the personalized recommendation of the talent market commending system based on RESTful style according to the embodiment of the present invention
The data flow schematic diagram of service request；
Fig. 5 is the personalized recommendation of the talent market commending system based on RESTful style according to the embodiment of the present invention
The job step schematic diagram of service request；
Fig. 6 is that the access of the talent market commending system based on RESTful style according to the embodiment of the present invention controlled
The workflow schematic diagram of filter.
Detailed description of the invention
Describe embodiments of the present invention in detail below with reference to drawings and Examples, whereby how the present invention is applied
Technological means solves technical problem, and the process that realizes reaching relevant art effect can fully understand and implement according to this.This Shen
Please each feature in embodiment and embodiment, can be combined with each other under not colliding premise, the technical scheme formed
All within protection scope of the present invention.
The talent market commending system of the present embodiment mainly includes two functional modules, and web station system module pushes away with personalization
Recommend module.
Wherein, web station system module is the interface module of system and user, for receiving input data and the service of user
Request and the result to user feedback inquiry with recommendation.For a user, its platform is experienced in addition to the mobile terminal of extension,
Website Module is most crucial, and first the most multilogic design is based on website design, and the Data Source of personalized recommendation is also
Derive from Website Module, it is recommended that result is also to feed back to Website Module.Web station system module farther includes student's module and enterprise
Industry module.
Student's module be used for User registration, log in, individual guide and resume, position, enterprise are built
Stand, obtain, update and deletion action.Concrete, User completes to operate as follows by this module, user's registration and login,
Student's essential information guides (creating acquiescence resume, carry out business recommendations by region+field), checks the position of recommendation, collection
The position recommended, cancels collection, checks the position of collection, check the position of delivery, check the company of recommendation, check the public affairs of concern
Department, cancels and paying close attention to, and creates resume, edits resume, preview resume, delivers resume, check all spectra, check the field of concern,
Search company, searches for position.
Enterprise module be used for enterprise customer registration, log in, enterprise guides and to resume, position, recruitment fair
Set up, obtain, update and deletion action.Concrete, enterprise customer completes to operate as follows by this module, and user registers and steps on
Record, enterprise's essential information guides (uploading business license, wait manual examination and verification), issues recruitment fair, issues position (campus recruiting duty
Position+common position vacant), check and issue position, check and issue recruitment fair, check that position delivers record, check student's letter
Go through.
The workflow of line module and enterprise module is the most as shown in Figure 2 a and 2 b.
Personalized recommendation module is based primarily upon the information relevant to student/enterprise customer and carries out the personalization of talent market and push away
Recommend.This module is the characteristic module of data analysis and process, and it externally provides calling interface.Main process user profile is not enough,
Recommendation problem when position behavior is insufficient.In commending system module, it is achieved also recommend filter, with recommend feedback.Push away
Recommend filtration mainly process and repeat recommended position, weaken Matthew effect；Recommend feedback then in order to improve recommended engine
Result and design.The data of this module come from the data that data acquisition interface formats or filters.
The functional block diagram of the present embodiment is as it is shown in figure 1, web station system module is mainly responsible for collecting data, such as user's letter
Breath, user journal, user behavior etc., for native data.Web station system module also can export and obtain with processing from data analysis
Result.Personalized recommendation module generates recommendation results according to recommendation request, and recommendation results returns to web station system module exhibition
Show.
Further, in the present embodiment, the information relevant to student/enterprise customer all stores with the form of URI resource,
By to the foundation of URI resource, obtain, update and deletion action obtain service.
RESTful framework style is centered by resource, and it can be substantially reduced exploitation in network development is applied
Complexity.RESTful framework style emphasizes that all of operation is stateless, i.e. not having the constraint of context, being distributed if done
Formula, the problem that cluster will keep without the concern for context and session, greatly improve the scalability of system.Use
RESTful style mainly considers the abstract of resource itself and identifies, if the similar additions and deletions of operation object itself change the operation looked into, that
It is abstracted into resource to be just easier.In the present invention, the operation to resume, position, recruitment fair etc., it is simply that basic additions and deletions change
Looking into, being abstracted into resource is easily.
Table 1 gives some examples of URI resource according to embodiments of the present invention.The commending system of the embodiment of the present invention
URI architecture is a tree structure on the whole, and Icareer, as root, separates student and enterprise two points
, be roughly divided into again below student individual guiding, resume operation, company information operation, position and enterprise search operation,
Homepage operation (including position associative operation).Enterprise's guiding, company information operation, recruitment it is roughly divided into below enterprise
Can operate, position operation, resume operation etc..
It addition, the corresponding processing method of each URI, as a example by read operation (GET):
Table 1 system URI resource is illustrated
The talent market commending system of the embodiment of the present invention is the platform of a kind Web Service, it is possible to allow system quilt
More system utilizes, use RESful style functionally provide Web Service interface function, thus derive
Http protocol, operate simpler flexibly, improve the system expandability.
In an embodiment of the present invention, all requests of Web are modeled as the operation to resource, utilize HTTP primary
The methods such as get, post, put and delete process requirement, can be that the system of any support http protocol includes that mobile terminal provides
Perfect data-interface service.
Further, the talent market commending system of the embodiment of the present invention is based on browser/server and client/service
Device mixed architecture is built, the most as shown in Figure 3.
Client includes the mobile device clients such as personal computer (PC) browser and mobile phone, it is possible to reception student/
The dynamic requests (such as jsp, servlet etc.) of enterprise customer's URI based on system resource and static requests (such as js, css,
Php, jpg, png, gif, html, htm, json etc.), and dynamic requests and static requests are sent to server end and reception
The response results of server end.
The Web server of server end uses the mode of APACHE with TOMCAT cluster to build, and student/enterprise customer's is quiet
State request is stored directly in the static resource catalogue of server, and dynamic requests determines by which to be serviced via CXF controller
The page or business module respond this request.
CXF controller is the controller of a RESTful style, and it is functionally similar to the Controller in MVC pattern,
Decision is responded corresponding requests by which operational approach by it, then response results is returned to the form of json or xml, visitor
Family end takes the data of json or the xml form of return, is rendered the page by AJAX, it is achieved Local hydrodynamic unit, avoid dodge
Screen, reaches good Consumer's Experience, and CXF controller can also control which view to respond the request (control of page jump by
System).
TOMCAT is the container of Servlet and JSP, and along with the edition upgrading of TOMCAT, it has had and independently undertakes Web
The ability of server, but in the processing speed to static resource (such as HTML or picture etc.), and the pipe to Web server is provided
Reason function aspects is still not as the http server of specialty, such as APACHE.So in the present embodiment, TOMCAT server and
APACHE server integrates, and APACHE server does not support Servlet and JSP, and it is only responsible for processing static resource, dynamically
Resource is given TOMCAT application server and is processed.
When TOMCAT server and APACHE server are integrated, TOMCAT server is the Servlet container outside process,
Communication between TOMCAT server and APACHE server is to be completed by special plug-in unit.TOMCAT passes through
Connector adapter is set up with client program and is connected, and Connector assembly is responsible for receiving client request and service
The response of device end returns to client.
Adapter configures in the server.xml of TOMCAT.8080 ports monitored by first adapter, and browser passes through
Http protocol accesses the Web application of TOMCAT server.8009 ports monitored by second adapter, by AJP agreement and other
Http server is set up and is connected.
TOMCAT provides JK plug-in unit to be responsible for and APACHE server communication, it should JK plug-in unit is placed in APACHE service
On device, when APACHE server receives request, it can filter URL, JK plug-in unit by JK plug-in unit and map decision handle according to URL
Which request is transmitted to TOMCAT server and processes.AJP agreement is formulated for TOMCAT with APACHE server communication
Agreement, is provided that higher communication speed and efficiency.
Building system architecture by the way of using APACHE Yu TOMCAT cluster, the process that can make full use of both is excellent
Gesture, it is achieved load balancing.
The embodiment of the present invention talent market commending system realize in framework, the data base of server end uses
MYSQL with MONGODB combines and builds, wherein, MONGODB data base for store student/enterprise customer authentication information and
Property recommended parameter, MYSQL database is for storing student/enterprise customer other information in addition to above-mentioned information.
MONGODB data base is non-relational database, is more suitable for making distributed collection compared to relevant database MYSQL
Group.Use MONGODB primarily to store authentication information and the personalized recommendation parameter, such as ID of user, session id,
User type, accesses time and the guidance information of student.Because safety problem is the most still seemed by the API of RESTful style
Have no way out, user authentication information is stored in client the most dangerous, is saved in server memory, violates again
RESTful retrains.So in order to realize load balancing and fault transfer, in an embodiment of the present invention, using and be suitable for doing
Distributed MONGODB data base, is saved in distributed data base ID userid and user conversation record sessionid
In.Operation to MONGODB data base is carried out by calling template class MongoTemplate (being similar to JdbcTemplate).
In an embodiment of the present invention, carrying out the storage of data owing to have employed non-relevant data storehouse MONGODB, operation is more
Add flexibly.MONGODB installs and uses simplicity, and MONGODB is memory database, and storage performance is the most powerful, is reading
All well and good advantage is had in speed.System is stored in MONGODB data base recommendation record and user conversation record session
In, access very fast, such system platform service end would not preserve user session state and recommendation state, and service end is restarted can
To say, user be there is no any impact, so system platform is very beneficial for making the distributed system with load balancing character
System, even makes cloud platform.
Further as it is shown on figure 3, the talent market commending system of the embodiment of the present invention is divided into service logic in business
Layer and data persistence layer, it is possible to achieve good business packed.Data persistence layer mainly have invoked Hibernate framework, and this framework can
With adaptive various relevant databases, including MYSQL and Oracle of main flow, and it is to the encapsulation of database manipulation and optimization
It is made the most comprehensive.
Business Logic, data persistence layer and CXF controller are all managed by SPRING container.Advantageously reduce layer
And the coupling between layer, improves development efficiency.
When User utilizes the commending system of the present embodiment to carry out personal information guiding, by filling in desired place of working
Territory and career field, it is possible to acquisition system is its company meeting these conditions recommended.The personalization of the embodiment of the present invention pushes away
Recommend module and respond the personalized ventilation system of User by calling the client-side interface of ACTIVEMQ Message Queuing server
Request.
ACTIVEMQ server is Message Queuing server, and it well achieves AMQP (advanced message queue protocol)
Carry out asynchronous message process.The data flow signal of the personalized ventilation system request of ACTIVEMQ server response User
As shown in Figure 4, its job step is as it is shown in figure 5, specifically include for figure:
The tendentiousness information that User is inputted by step S510, Web server sends disappearing to ACTIVEMQ server
Breath queue stores.
No. ID according to time of system and generating random number ID and is stored in by step S520, personalized recommendation process
In MONGODB data base.
Step S530, personalized recommendation process monitoring information queue, to obtain tendentiousness information, obtain according to tendentiousness information
To recommendation results, and set up with the queue of No. ID name, recommendation results is stored in this queue.
Step S540, Web server inquire about No. ID from MONGODB data base, and from No. ID queue matched
Obtain recommendation results.
For example, User is in individual's bootup process, by transmitting terminal interface expectation region and expectation field
With json form ({ " address ": " Qinhuangdao, Hebei, Shijiazhuang, Hebei Guangzhou Guangdong ", " industry ": " service trade science and technology is produced
Product " }) be sent in the message queue COMPANY.DEFAULT4 of ACTIVEMQ server, and according to the current time in system and with
Machine number produces one No. ID (such as 1396252479545-752762703, this No. ID title that will become another queue).
Can immediately return the value of this ID during transmission, it will be stored in MONGODB data base.
The asynchronous process process of message consumer is, consumer passes through monitoring information queue COMPANY.DEFAULT, takes
Data to be processed (region+field), call company's (json array form) that proposed algorithm obtains recommending, and the most newly-built one
Individual with No. ID queue as title obtained above, the result of recommendation company is sent to this queue.Last User from
Take correspondence oneself in MONGODB data base No. ID that recommends company, processes by taking under the queue that ID goes title to match
Result.
If Web server gets recommendation results from this No. ID queue matched within the time set, then lead to
Cross page rendering display recommendation results, and recommendation results is stored to MYSQL database.If Web server set time
In do not get recommendation results, then return empty array, and by page display without the information of recommendation items.Such as will set
Set of time be 2s for calculating to consumer.If obtaining result in 2s (such as { " company ": [{ " id ": "
4871 ", " name ": " Guangzhou Shuo Jian Information technology company limited " } ..., { }] }), then can go out corresponding company at page rendering,
More than 2s then by calculating timeout treatment, return empty array.
It should be noted that the message producers and consumers in the embodiment of the present invention builds in java project, this
Mesh relies on the ACTIVEMQ dependence bag that java language is write, and this java project is packaged into jar file form, has joined this
The maven of system (Icareer project) relies in storehouse, to open while starting Icareer project by the way of main function
Dynamic company personalized recommendation module, after startup, message consumer can wait message to be processed, message by the pattern monitored
During deriving from User individual guiding.
In embodiments of the present invention, by process based on RESTful style, the recommendation process of computer intensive type with
System platform decouples, and improves performance and the stability of system.Algorithm is made the middleware of hot-pluggable, do not only have
The independent and perfect of the system of being beneficial to is also beneficial to improving of algorithm and even more replaces.
It addition, system and algorithm engine are by asynchronous message Queue links, so system platform and algorithm engine can be only
On a different server, the intensive resource consumed that calculates of algorithm does not interferes with the stability of system platform in vertical deployment.
The API of RESTful style is the most perfect in safety Design, changes look into behaviour resource carries out simple additions and deletions
When making, it is simple and flexible, but is being short of in the restriction controlled accessing, and CXF framework is not the most given perfect
Access control implementation.For increasing the safety and stability of system, the talent market of the embodiment of the present invention recommends system
System uses access-control filter to monitor student/enterprise customer to the access of this system and operation.
All of request based on commending system will be through access-control filter, the checking rule of access-control filter
It is then: when student/enterprise customer sends access or operation requests, access-control filter first determines whether the type of request.If
Request belongs to the type that can be cleared, then allow student/enterprise customer to the access of system or operation requests.If request does not belongs to
In the type that can be cleared, then obtained the type of user by the authentication information of student/enterprise customer, and perform to match
User type Authority Verification updates with logging status.
Further, during Authority Verification and state update, first have to the request that checks be whether root path (as
Icareer or Icareer/), if root path is in two kinds of situation, the first situation is that user logs in already at effective
In state, this situation belongs to automated log on, is forwarded directly to user home page；The second situation is that user's logging status has been lost
Effect, is forwarded to login page.If not root path but general service request, check the logging status of corresponding user type
And be updated.
The logging status checking corresponding user type the rule being updated be, if the request time of the type user away from
From last request time less than or equal to very first time threshold value, then this request of letting pass.If the request time distance of the type user
Last request time more than very first time threshold value and less than or equal to the second time threshold, then updates the login time of this user also
Let pass this request.If the last request time of request time distance of the type user is more than the second time threshold, then delete this
Secondary session is also forwarded to the login page of user.
For example, if request time distance request time last time of the type user was less than or equal to 5 minutes, letting pass please
Ask.If request time distance request time last time of the type user is more than 5 minutes and less than or equal to 30 minutes, updating should
The login time of user the request of letting pass.If request time distance request time last time of the type user was more than 30 minutes,
Directly delete this session, be forwarded to login page and again log in.
The complete workflow of above-mentioned access-control filter is as shown in Figure 6.
In an embodiment of the present invention, owing to client will not retain the session status of user, the so safety to system
Property has had the biggest guarantee, and the Stateless of service end and the Stateless of client are met simultaneously.
Those skilled in the art should be understood that each module of the above-mentioned present invention or each step can be with general calculating
Device realizes, and they can concentrate on single calculating device, or is distributed in the network that multiple calculating device is formed
On, alternatively, they can realize with calculating the executable program code of device, it is thus possible to be stored in storage
Device is performed by calculating device, or they are fabricated to respectively each integrated circuit modules, or by many in them
Individual module or step are fabricated to single integrated circuit module and realize.So, the present invention be not restricted to any specific hardware and
Software combines.
Although the embodiment that disclosed herein is as above, but described content is only to facilitate understand the present invention and adopt
Embodiment, be not limited to the present invention.Technical staff in any the technical field of the invention, without departing from this
On the premise of spirit and scope disclosed by invention, in form and any amendment and change can be made in details implement,
But the scope of patent protection of the present invention, still must be defined in the range of standard with appending claims.
Claims (10)
1. a talent market commending system based on RESTful style, including:
The interface module of web station system module, system and user, the input data and the service that receive user are asked and anti-to user
Feedback inquiry and the result recommended；
Described web station system module farther includes student's module and enterprise module, and described student's module has been used for User
Registration, log in, individual guide and to resume, position, the foundation of enterprise, obtain, update and deletion action；Described enterprise mould
Block be used for enterprise customer registration, log in, enterprise guide and to resume, position, the foundation of recruitment fair, obtain, update
And deletion action；
Wherein, the information relevant to student/enterprise customer all stores, by building described URI resource with the form of URI resource
Stand, obtain, update and deletion action acquisition service；
Personalized recommendation module, carries out the personalized recommendation of talent market based on the information relevant to student/enterprise customer.
System the most according to claim 1, it is characterised in that described system is based on browser/server and client/clothes
Business device mixed architecture is built, wherein,
Client includes personal computer browser and mobile device client, it is possible to receive student/enterprise customer based on system
The dynamic requests of URI resource and static requests, described request is sent to server end and the response that receives server end
Result；
The Web server of server end uses the mode of APACHE with TOMCAT cluster to build, and the static state of student/enterprise customer please
Asking in the static resource catalogue being stored directly in server, which service page is dynamic requests determine by via CXF controller
Or business module responds this request；
The data base of server end uses MYSQL with MONGODB to combine and builds, and described MONGODB is used for storing student/enterprise and uses
The authentication information at family and personalized recommendation parameter, described MYSQL is for storing its in addition to above-mentioned information of student/enterprise customer
His information.
System the most according to claim 2, it is characterised in that described personalized recommendation module disappears by calling ACTIVEMQ
The personalized ventilation system request of the client-side interface response User of breath queue server.
System the most according to claim 3, it is characterised in that described personalized recommendation module is learned according to following steps response
The personalized ventilation system request of raw user:
The tendentiousness information that User is inputted by Web server sends and deposits to the message queue of ACTIVEMQ server
Storage；
Personalized recommendation process according to time of system and generating random number ID and is stored in MONGODB data by described No. ID
In storehouse；
Personalized recommendation process monitoring information queue, to obtain tendentiousness information, obtains recommending knot according to described tendentiousness information
Really, and set up with the queue of described No. ID name, recommendation results is stored in this queue；
Web server inquires about described No. ID from MONGODB data base, and obtains push away from described No. ID queue matched
Recommend result.
System the most according to claim 4, it is characterised in that
If Web server gets recommendation results from described No. ID queue matched within the time set, then pass through
Page rendering display recommendation results, and described recommendation results is stored to MYSQL database；
If Web server does not gets recommendation results within the time set, then return empty array, and by page display without pushing away
Recommend the information of item.
System the most according to any one of claim 1 to 5, it is characterised in that described system uses to access and controls to filter
Device monitors student/enterprise customer to the access of this system and operation.
System the most according to claim 6, it is characterised in that when student/enterprise customer sends access or operation requests,
Described access-control filter judges the type of described request:
If described request belongs to the type that can be cleared, then allow student/enterprise customer to the access of system or operation requests；
If described request is not belonging to the type that can be cleared, is then obtained by the authentication information of described student/enterprise customer and use
The type at family, and perform user type Authority Verification and the logging status renewal matched.
System the most according to claim 7, it is characterised in that the user that described access-control filter matches in execution
When type privilege checking updates with logging status, check whether the request of described student/enterprise customer is to log in relevant with user
Request,
If logging in relevant root path request with user, then
When during student/enterprise customer is already at effective logging status, responds this request and be forwarded to user home page；Work as
When the logging status of life/enterprise customer had lost efficacy, respond this request and be forwarded to the login page of user；
If logging in unrelated general business request with user, then
Check the logging status of corresponding user type and be updated.
System the most according to claim 8, it is characterised in that it is right that described access-control filter checks according to following steps
Answer the logging status of user type and be updated,
If the last request time of request time distance of the type user is less than or equal to very first time threshold value, then letting pass should
Ask；
If the last request time of request time distance of the type user is more than very first time threshold value and less than or equal to second
Between threshold value, then update the login time of this user this request of letting pass；
If the last request time of request time distance of the type user is more than the second time threshold, then delete this session also
It is forwarded to the login page of user.
System the most according to claim 2, it is characterised in that described system be divided in business Business Logic with
Data persistence layer, described Business Logic, data persistence layer and CXF controller are all managed by SPRING container.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201610597417.XA CN106169133A (en) | 2016-07-26 | 2016-07-26 | A kind of talent market commending system based on RESTful style |
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| CN201610597417.XA CN106169133A (en) | 2016-07-26 | 2016-07-26 | A kind of talent market commending system based on RESTful style |
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| CN201610597417.XA Pending CN106169133A (en) | 2016-07-26 | 2016-07-26 | A kind of talent market commending system based on RESTful style |
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