CN109299358A - A kind of recommendation system and its recommendation ask for method - Google Patents

A kind of recommendation system and its recommendation ask for method Download PDF

Info

Publication number
CN109299358A
CN109299358A CN201811066897.2A CN201811066897A CN109299358A CN 109299358 A CN109299358 A CN 109299358A CN 201811066897 A CN201811066897 A CN 201811066897A CN 109299358 A CN109299358 A CN 109299358A
Authority
CN
China
Prior art keywords
recommendation
enterprise
request
version client
personal
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
Application number
CN201811066897.2A
Other languages
Chinese (zh)
Inventor
翁达
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Xiamen Xiong Ying Technology Co Ltd
Original Assignee
Xiamen Xiong Ying Technology Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Xiamen Xiong Ying Technology Co Ltd filed Critical Xiamen Xiong Ying Technology Co Ltd
Priority to CN201811066897.2A priority Critical patent/CN109299358A/en
Publication of CN109299358A publication Critical patent/CN109299358A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/10Office automation; Time management
    • G06Q10/105Human resources

Landscapes

  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Engineering & Computer Science (AREA)
  • Strategic Management (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Operations Research (AREA)
  • Economics (AREA)
  • Marketing (AREA)
  • Data Mining & Analysis (AREA)
  • Quality & Reliability (AREA)
  • Tourism & Hospitality (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Computer And Data Communications (AREA)

Abstract

Method is asked for the invention discloses a kind of recommendation system and recommendation, the system includes enterprise version client, social version client and recommendation server-side, and enterprise version client and social version client in recommendation server-side real-name authentication and pass through recommendation server-side data interchange;Recommendation is asked for job candidates by enterprise version client by employing unit, and job candidates ask for personal or enterprise's recommendation to good friend or leaving office unit accordingly, and reply to employing unit;This method following steps: recommendation is asked for by enterprise, individual asks for recommendation, fills in recommendation, personal reply recommendation, employing unit's access recommendation.By the systems and methods, the present invention may be implemented the electronics of recommendation with no paper at all with communicate good friend's cooperating;It reduces and handles the time cycle of recommendation, avoids tedious steps;There is no damages to lose, it is ensured that the authenticity of information will not fake easily;Enterprise can be reduced and the personal time for handling recommendation, finance are lost.

Description

A kind of recommendation system and its recommendation ask for method
Technical field
The present invention relates to computer application technology, the side of asking for of a kind of recommendation system and its recommendation is particularly related to Method.
Background technique
Recommendation is the artificial mail recommended another person to go to receive some position or participate in a certain work and write.With Employing related workplace recommendation is usually to have the people understood to a certain degree to write the ability of job candidates, is usually answered Engage previous employer, immediate boss or the colleague of personnel.
There are inconveniences for current traditional workplace recommendation: enterprise answers when asking for workplace recommendation to job candidates Engage that personnel take is all papery recommendation, and papery recommendation cost it is high, it is inconvenient to carry, be easily damaged loss, in material Expect to be easy to fake there is also hidden danger in authenticity;Ex-employee needs to preceding enterprise guard station ask for recommendation and affixes one's seal, and does It has managed recommendation and has been submitted to the enterprise for asking for recommendation again, whole process is comparatively laborious and the time cycle can not be estimated;Individual writes The not stringent standard of recommendation, there are a degree of subjective consciousness, written content is not necessarily enterprise and wants to know about The content of job candidates, workplace recommendation do not play effect, and the effective rate of utilization of recommendation is low.
With the development of internet and universal, the characteristics such as network-based high speed and portability realize office electronization It is imperative.Electronic office can be accomplished convenient and efficient, improve efficiency, and convenient for management, improve office quality.Therefore one is needed The more convenient and fast workplace recommendation system of kind, to realize the enterprises recruitment of convenience and high-efficiency.
In view of this, the present inventor regarding to the issue above caused by many missings and inconvenience, and deeply conceive, and actively Research improvement has a fling at and develops and design the present invention.
Summary of the invention
The purpose of the present invention is to provide a kind of methods of asking for of recommendation system and its recommendation, realize electronics without paper Change, conveniently handle workplace recommendation, simple flow, guarantees the authenticity of job candidates' information, improve the effective use of recommendation Rate.
In order to achieve the above objectives, solution of the invention is:
A kind of recommendation system, including enterprise version client, personal version client and recommendation server-side;The enterprise version client Data interchange is carried out via recommendation server-side between end and personal version client;The database purchase of the enterprise version client Oriented personal information enterprise application and left office from enterprise;Employing unit sends " enterprise to job candidates by enterprise version client Industry asks for recommendation request ";" recommendation request is asked for by enterprise " the automatic input enterprise version client sent " asks for column Table ";After individual's version client receives " recommendation request is asked for by enterprise ", " the request column of automatic input individual's version client Table ";Job candidates send " individual asks for recommendation request " to good friend or leaving office unit by personal version client;Personal version visitor The recommendation that family end receives is stored in the database of personal version client, and job candidates add from the database of personal version client It carries suitable recommendation and is replied " recommendation request is asked for by enterprise ";Receive the enterprise of " individual asks for recommendation request " Version client verifies the identity information of job candidates automatically, and agreement fills in recommendation template after providing recommendation and returns to enterprise Recommendation is to job candidates;The personal version client of " personal recommendation asks for request " is received, after recommendation is provided in agreement In recommendation template completion and personal recommendation is returned to job candidates.
Record is asked for comprising a plurality of " recommendation request is asked for by enterprise " sent in described " asking for list ", this is asked for Record include job candidates' name, contact method, intention department, recommendation type, ask for the time, state (has been replied, has not been returned Again), operation (check, delete, reminding), the recommendation type are pushed away including personal recommendation, enterprise's recommendation, individual+enterprise Recommend letter.
Request record comprising a plurality of received " recommendation request is asked for by enterprise " in " request list ", the request Record includes enterprise name, contact method, intention department, recommendation type, asks for time, state (be completed, do not complete), behaviour Make (reply, delete, asking for).
It is that unfinished requests record carries out " asking for " operation that the job candidates, which are based on state, to good friend or leaving office unit Send " individual asks for recommendation request ".
The enterprise version client is after receiving " individual asks for recommendation request ", automatically by the identity information of job candidates Information matches are carried out with " the ex-employee's list " in database, are forwarded to " personal recommendation asks for request " after successful match The designated person of enterprise version client.
In the recommendation template including several allows to comment the evaluative dimensions of star and the comment for allowing freely to write, described Evaluative dimension include basic quality, individual character, communication capability, cognitive ability, interpersonal relationships, learning ability, work values, Professional ability, implementation capacity, team competence, leading capacity.
The client is in use, enterprise or individual must be in recommendation server-side real-name authentications.
A kind of recommendation of recommendation system asks for method, it is characterised in that the following steps are included:
Step 1: recommendation is asked for by enterprise
Employing unit sends " recommendation request is asked for by enterprise " to job candidates by enterprise version client;" the enterprise sent Ask for recommendation request " automatic input " asking for list ";Job candidates receive that " enterprise asks for recommendation and asks in personal version client Ask " after, " request list " of automatic input individual's version client;
Step 2: individual asks for recommendation
It is that unfinished requests record carries out " asking for " operation that job candidates, which are based on state, is sent to good friend or leaving office unit " a People asks for recommendation request ";
A. personal recommendation is asked for good friend
Job candidates are sent " individual asks for recommendation request " by personal version client to good friend, and good friend receives that " individual asks for After recommendation request ", the identity information confirmation of job candidates is carried out, good friend completes validation of information and agrees to after providing recommendation, Then carry out filling in for recommendation;
B. enterprise's recommendation is asked for leaving office unit
Job candidates send " individual asks for recommendation request " to leaving office unit by personal version client;Leaving office unit receives After " individual ask for recommendation request ", enterprise version client automatically by the personal information of job candidates and " ex-employee's list " into Administrative staff's information matches;After successful match, then " individual asks for recommendation request " is sent to the nominator of enterprise version client Member, which agrees to after providing recommendation, then carries out filling in for recommendation;
Step 3: filling in recommendation
Good friend or leaving office unit fill in recommendation in recommendation template;It is raw after good friend or designated person fill in completion and submit Job candidates are returned at personal recommendation or enterprise's recommendation, and are automatically credited the database of its people version client;
Step 4: job candidates reply recommendation
Job candidates load suitable recommendation from the database of personal version client, reply to employing unit, and reply finishes The Status Change of request record is that state is completed in " request list ";
Step 5: recommendation is consulted by employing unit
Employing unit receives " ask for list " after recommendation in ask for the Status Change of record be to have replied, employing unit carries out " checking ", " deletion " operation.
By the systems and methods, the electronics that recommendation may be implemented in the present invention cooperates with behaviour with communication good friend with no paper at all Make;Individual does not need to hurry back and forth between many enterprises, reduces and handles the time cycle of recommendation, avoids cumbersome step;It realizes The problem of recommendation electronization is lost there is no damage, passes through data base administration relevant information, it is ensured that the authenticity of information, it will not Light easily modified, fraud, and contact person and contact method, the convenient letter to job candidates are issued with correlation in electronics recommendation Breath is verified;Enterprise can be reduced and the personal time for handling recommendation, finance are lost.
Detailed description of the invention
Fig. 1 is flow diagram of the invention.
Specific embodiment
In order to further explain the technical solution of the present invention, being explained in detail below by specific embodiment the present invention It states.
A kind of recommendation system, including enterprise version client, personal version client and recommendation server-side, above-mentioned client In use, enterprise or individual must be in recommendation server-side real-name authentications;Above-mentioned enterprise version client and personal version client it Between via recommendation server-side carry out data interchange.
Oriented personal information enterprise application and left office from enterprise of the database purchase of above-mentioned enterprise version client;Employment list Position sends " recommendation request is asked for by enterprise " to job candidates by enterprise version client;Sent " recommendation is asked for by enterprise Request " automatic input enterprise version client " asking for list ", in " asking for list " comprising it is a plurality of sent " enterprise, which asks for, to push away Recommend letter request " ask for record, this ask for record including job candidates' name, contact method, intention department, recommendation type, Time, state (replied, do not replied), operation (check, delete, reminding) are asked for, above-mentioned recommendation type includes personal recommends Letter, enterprise's recommendation, individual+enterprise's recommendation;While employing unit sends " recommendation request is asked for by enterprise ", system is automatic Prompting message is sent to job candidates;It is the record of asking for that do not reply for state, employing unit can carry out " prompting " operation, then Secondary transmission prompting message;It is the record of asking for replied for state, the behaviour of recommendation can be checked, be deleted in employing unit Make.
After above-mentioned individual's version client receives above-mentioned " recommendation request is asked for by enterprise ", automatic input individual's version client " request list ", the request record comprising a plurality of received " recommendation request is asked for by enterprise " in " request list ", the request Record includes enterprise name, contact method, intention department, recommendation type, asks for time, state (be completed, do not complete), behaviour Make (reply, delete, asking for);Job candidates can based on state be unfinished requests record carry out " asking for " operation, to from Duty unit or good friend send " individual asks for recommendation request ", can also ask for recommendation in the case where no request;It is personal The database of personal version client is stored in after the recommendation that version client receives;When job candidates carry out " reply " operation, Suitable recommendation is loaded from the database of personal version client, then replies to employing unit, reply finishes " request column The state of request record in table " can be changed to completion status;If job candidates carry out " deletion " in social version client Operation deletes the recommendation sent, then can also continue to check the recommendation in the enterprise version client for receive the recommendation Letter, but cannot externally share.
The enterprise version client for receiving above-mentioned " individual asks for recommendation request " will request of sender (job candidates) " ex-employee's list " in people's information and date library carries out personal information matching, if successful match, in enterprise version client End generates " personal recommendation asks for request ", and is sent to the designated person of enterprise version client, if designated person agrees to provide Recommendation then completes filling in for recommendation in recommendation template, and including several in the recommendation template allows to comment commenting for star Valence dimension, the evaluative dimension include basic quality, individual character, communication capability, cognitive ability, interpersonal relationships, learning ability, work Make values, professional ability, implementation capacity, team competence, leading capacity, designated person completes after commenting star respectively to the evaluative dimension Recommendation is filled in, and if desired can also increase the content for writing comment;The recommendation fills in completion and generates enterprise after submitting Industry recommendation returns to above-mentioned request sender (job candidates);In addition, receiving above-mentioned " individual's recommendation by personal version client Letter asks for request " individual complete recommendation in its recommendation template if agreeing to provide recommendation and fill in, the recommendation Letter template content and to fill in mode identical with above-mentioned enterprise version client, i.e. generation individual after which fills in completion and submit Recommendation returns to above-mentioned request sender (job candidates).
Above-mentioned personal or enterprise is a in transmission " individual asks for recommendation request " or " recommendation request is asked for by enterprise " People or company-related information (including but not limited to name/title, contact method etc.) can sent jointly to from the background with request Receiving end, only receiving end can be checked.
Enterprise version client includes the end enterprise version PC and the end enterprise version APP, and personal version client includes the individual end version APP.
Above-mentioned recommendation system can realize asking for for recommendation by the following method, as shown in Figure 1, a kind of recommendation Ask for method, comprising the following steps:
Step 1: recommendation is asked for by enterprise
1a. employing unit sends " recommendation request is asked for by enterprise " to job candidates by the end enterprise version PC or the end enterprise version APP, The information for being somebody's turn to do " recommendation request is asked for by enterprise " includes job candidates' name, contact method, intention department, recommendation type, is somebody's turn to do Recommendation type is divided into personal recommendation, enterprise's recommendation, personal recommendation and enterprise's recommendation, enterprise can be from passing interview Name and contact method are imported in the personnel record of hair offer, it is easy to operate, it avoids being manually entered multi information;It has sent " enterprise ask for recommendation request " automatic input " asking for list ", include a plurality of " the enterprise's rope sent in " asking for list " Take recommendation to request " ask for record, this ask for record include job candidates' name, contact method, intention department, recommendation class Type asks for time, state (replied, do not replied), operation (check, delete, reminding);Meanwhile system is automatically by personal version The end APP prompting message into job candidates dispatching station, employing unit can also carry out " prompting " operation, or flat using third party Platform (such as wechat, QQ) sends prompting message to job candidates.
After 1b. job candidates receive " recommendation request is asked for by enterprise " at the end personal version APP, automatic input individual's version APP " request list " at end, the request record comprising a plurality of received " recommendation request is asked for by enterprise " in " request list ", should It includes enterprise name that request, which records, contact method, intention department, recommendation type, ask for the time, state (is completed, is not complete At), operation (reply, delete, ask for).
Step 2: individual asks for recommendation
After the relevant information of acknowledged " recommendation request is asked for by enterprise ", job candidates can be unfinished requests based on state Record carries out " asking for " operation, sends " individual asks for recommendation request " to leaving office unit or good friend, can also not request In the case where ask for recommendation.
2a. asks for personal recommendation to good friend
Job candidates send " individual asks for recommendation request " to good friend by the personal end version APP, and job candidates can also pass through H5 Chain receives and sends " individual asks for recommendation request ";After good friend receives " individual asks for recommendation request ", by request sender (application Personnel) personal information and oneself buddy list personnel carry out information matches, make requests the body of sender (job candidates) Part validation of information carries out filling in for recommendation if agreeing to provide recommendation.
The identity information confirmation of sender (job candidates) is made requests by the matching of good friend's personal information, it is ensured that answer The authenticity for engaging relationship between personnel and referrer avoids the case where faking, cheating.
2b. asks for enterprise's recommendation to leaving office unit
Job candidates fill in leaving office unit relevant information by the individual end version APP, and to the transmission of leaving office unit, " individual asks for recommendation Request ", which includes administrative personnel's name, contact method, organization;The end enterprise version PC or enterprise version After the end APP receives " individual asks for recommendation request ", personal information and " the leaving office person of sender (job candidates) will be requested automatically Work list " carries out personal information matching;If successful match, " individual asks for recommendation request " is sent to the end enterprise version PC Or the designated person at the end enterprise version APP.If the designated person agrees to provide recommendation, filling in for recommendation is carried out.
By the information Auto-matching for filling in leaving office unit relevant information and ex-employee's list, it is ensured that job candidates The authenticity of relationship between leaving office unit avoids faking and to the unnecessary harassing and wrecking of leaving office unit, unit has with respect to individual Higher public credibility, data validity is higher, thus unit provides recommendation also and has higher public credibility.
Step 3: filling in recommendation
Good friend or leaving office unit complete filling in for recommendation in recommendation template, include several permissions in the recommendation template The evaluative dimension of star is commented, which includes basic quality, individual character, communication capability, cognitive ability, interpersonal relationships, Habit ability, work values, professional ability, implementation capacity, team competence, leading capacity, designated person comment the evaluative dimension respectively Recommendation is completed after star to fill in, and if desired can also increase the content for writing comment;Personal or enterprise's recommendation has been filled in At and after submitting, that is, generate personal or enterprise's recommendation and return to above-mentioned request sender (job candidates), and be automatically credited The database at the end people version APP.
The content filled in needed for recommendation show that most of enterprise investigates employee, job candidates institute after investigation It should be understood that evaluative dimension, more can comprehensively evaluate job candidates, while filling in convenient for referrer, can be in larger journey Reach the common recognition between employment enterprise and referrer on degree, so that it is guaranteed that the effective rate of utilization of recommendation, avoids both sides from doing useless Function;And it is not limited to dimension scoring, can remark additionally, be further ensured that the integrality of information.
Step 4: job candidates reply recommendation
Job candidates load suitable recommendation from the database at the end personal version APP, then reply to employing unit, have replied The state for finishing the request record in " request list " can be changed to that state is completed.
Step 5: recommendation is consulted by employing unit
Employing unit receives the state for asking for record in " asking for list " after recommendation and can be changed to reply, and employing unit can Carry out " checking ", " deletion " operation;It is the record of asking for that do not reply for state, employing unit can carry out " prompting " operation, then Secondary transmission prompting message.If job candidates delete the recommendation sent on the end personal version APP, the recommendation is being received It can also continue to check the recommendation on the end enterprise PC or the end enterprise APP of letter, but cannot externally share, to ensure job candidates Privacy.
Method is asked for by above-mentioned recommendation system and recommendation, the electronics that recommendation may be implemented in the present invention is with no paper With communicate good friend's cooperating;Individual does not need to hurry back and forth back and forth between many enterprises again, reduces week time for handling recommendation Phase avoids cumbersome step;It realizes that recommendation electronization will there is no damages to lose this problem, passes through data base administration correlation Information, it is ensured that the authenticity of information, will not it is light it is easily modified, fake, and in electronics recommendation with correlation issue contact person with Contact method, it is convenient that the information of job candidates is verified;Enterprise can be reduced and the personal time for handling recommendation, finance are damaged Consumption, is allowed to more intelligent related service, mobile, process summary.
Above-described embodiment and non-limiting product form and style of the invention, the ordinary skill people of any technical field The appropriate changes or modifications that member does it, all should be regarded as not departing from patent category of the invention.

Claims (8)

1. a kind of recommendation system, it is characterised in that: including enterprise version client, personal version client and recommendation server-side; Data interchange is carried out via recommendation server-side between the enterprise version client and personal version client;The enterprise version client Oriented personal information enterprise application and left office from enterprise of the database purchase at end;Employing unit is by enterprise version client to answering Personnel are engaged to send " recommendation request is asked for by enterprise ";" recommendation request is asked for by enterprise " the automatic input enterprise version client sent " the asking for list " at end;After individual's version client receives " recommendation request is asked for by enterprise ", automatic input individual version client " request list " at end;Job candidates send that " individual asks for recommendation and asks by personal version client to good friend or leaving office unit It asks ";The recommendation that personal version client receives is stored in the database of personal version client, and job candidates are from personal version client Database in load suitable recommendation and replied " enterprise ask for recommendation request ";" individual asks for recommendation described in receiving The enterprise version client of letter request " verifies the identity information of job candidates automatically, and agreement is provided after recommendation in recommendation template It fills in and returns to enterprise's recommendation to job candidates;The personal version client of " personal recommendation asks for request " is received, together Meaning is provided after recommendation in recommendation template completion and returns to personal recommendation to job candidates.
2. a kind of recommendation system as described in claim 1, it is characterised in that: sent out in described " asking for list " comprising a plurality of " recommendation request is asked for by enterprise " sent asks for record, and it includes job candidates' name, contact method, intention portion that this, which asks for record, Door, recommendation type ask for time, state (replied, do not replied), operation (check, delete, reminding), the recommendation class Type includes personal recommendation, enterprise's recommendation, individual+enterprise's recommendation.
3. a kind of recommendation system as described in claim 1, it is characterised in that: connect in " request list " comprising a plurality of The request record of " enterprise ask for recommendation request " received, request record include enterprise name, contact method, intention department, Recommendation type asks for time, state (be completed, do not complete), operation (reply, delete, asking for).
4. a kind of recommendation system as claimed in claim 3, it is characterised in that: it is unfinished that the job candidates, which are based on state, Request record carry out " asking for " operation, send " individual asks for recommendation request " to good friend or leaving office unit.
5. a kind of recommendation system as described in claim 1, it is characterised in that: the enterprise version client is receiving " individual Ask for recommendation request " after, " the ex-employee's list " in the identity information and database of job candidates is subjected to information automatically It matches, " personal recommendation asks for request " is forwarded to the designated person of enterprise version client after successful match.
6. a kind of recommendation system as described in claim 1, it is characterised in that: in the recommendation template include several and permit Permitted to comment the evaluative dimension of star and the comment for allowing freely to write, the evaluative dimension includes basic quality, individual character, links up energy Power, cognitive ability, interpersonal relationships, learning ability, work values, professional ability, implementation capacity, team competence, leading capacity.
7. a kind of recommendation system as described in claim 1 to 6 is any, it is characterised in that: the client is in use, enterprise Or individual must be in recommendation server-side real-name authentication.
8. a kind of recommendation of recommendation system as described in claim 1 asks for method, it is characterised in that the following steps are included:
Step 1: recommendation is asked for by enterprise
Employing unit sends " recommendation request is asked for by enterprise " to job candidates by enterprise version client;" the enterprise sent Ask for recommendation request " automatic input " asking for list ";Job candidates receive that " enterprise asks for recommendation and asks in personal version client Ask " after, " request list " of automatic input individual's version client;
Step 2: individual asks for recommendation
Job candidates send " individual asks for recommendation request " to good friend or leaving office unit;
A. personal recommendation is asked for good friend
Job candidates are sent " individual asks for recommendation request " by personal version client to good friend, and good friend receives that " individual asks for After recommendation request ", the identity information confirmation of job candidates is carried out, good friend completes validation of information and agrees to after providing recommendation, Then carry out filling in for recommendation;
B. enterprise's recommendation is asked for leaving office unit
Job candidates send " individual asks for recommendation request " to leaving office unit by personal version client;Leaving office unit receives After " individual ask for recommendation request ", enterprise version client automatically by the personal information of job candidates and " ex-employee's list " into Administrative staff's information matches;After successful match, then " individual asks for recommendation request " is sent to the nominator of enterprise version client Member, which agrees to after providing recommendation, then carries out filling in for recommendation;
Step 3: filling in recommendation
Good friend or leaving office unit fill in recommendation in recommendation template;It is raw after good friend or designated person fill in completion and submit Job candidates are returned at personal recommendation or enterprise's recommendation, and are automatically credited the database of its people version client;
Step 4: job candidates reply recommendation
Job candidates load suitable recommendation from the database of personal version client, reply to employing unit, and reply finishes The Status Change of request record is that state is completed in " request list ";
Step 5: recommendation is consulted by employing unit
Employing unit receives " ask for list " after recommendation in ask for the Status Change of record be to have replied, employing unit carries out " checking ", " deletion " operation.
CN201811066897.2A 2018-09-13 2018-09-13 A kind of recommendation system and its recommendation ask for method Pending CN109299358A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811066897.2A CN109299358A (en) 2018-09-13 2018-09-13 A kind of recommendation system and its recommendation ask for method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811066897.2A CN109299358A (en) 2018-09-13 2018-09-13 A kind of recommendation system and its recommendation ask for method

Publications (1)

Publication Number Publication Date
CN109299358A true CN109299358A (en) 2019-02-01

Family

ID=65166946

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811066897.2A Pending CN109299358A (en) 2018-09-13 2018-09-13 A kind of recommendation system and its recommendation ask for method

Country Status (1)

Country Link
CN (1) CN109299358A (en)

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102156926A (en) * 2011-04-28 2011-08-17 江苏欧索软件有限公司 Intermediary platform for human resources
JP2013120583A (en) * 2011-12-09 2013-06-17 Writeup Co Ltd Employment activity support system
CN107491939A (en) * 2017-08-23 2017-12-19 李超平 A kind of method for building up for the resume archives economy that double account registrations are compiled by third party
CN108305047A (en) * 2018-01-31 2018-07-20 合肥和钧正策信息技术有限公司 A kind of talent's big data enterprises service system

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102156926A (en) * 2011-04-28 2011-08-17 江苏欧索软件有限公司 Intermediary platform for human resources
JP2013120583A (en) * 2011-12-09 2013-06-17 Writeup Co Ltd Employment activity support system
CN107491939A (en) * 2017-08-23 2017-12-19 李超平 A kind of method for building up for the resume archives economy that double account registrations are compiled by third party
CN108305047A (en) * 2018-01-31 2018-07-20 合肥和钧正策信息技术有限公司 A kind of talent's big data enterprises service system

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
职秘: "职秘企云:职秘倡导推荐信机制 让员工更自信更有动力", 《职秘的个人展示页》 *

Similar Documents

Publication Publication Date Title
Graybill et al. Employee onboarding: Identification of best practices in ACRL libraries
Holtsnider et al. IT manager's handbook: Getting your new job done
Bélanger et al. Collaborative technologies in knowledge telework: an exploratory study
Munchus III Employer-employee based quality circles in Japan: Human resource policy implications for American firms
Miller‐Merrell The workplace engagement economy where HR, social, mobile, and tech collide
Schauster Ethics versus survival: The relationship between advertising ethics and new business challenges
Wilson The work of Canadian political staffers in parliamentary caucus research offices
CN106713294A (en) Building data processing method and system
Gunnlaugsdottir Functional classification scheme for records: FCS: a way to chart documented knowledge in organizations
Dodd et al. Organizational social media policies and best practice recommendations
CN109299358A (en) A kind of recommendation system and its recommendation ask for method
WO2019116962A1 (en) Hidden job seeker acquisition system
KR20130011271A (en) The system which supports a recommendation/no-recommendation information about a human resources or company
Borges et al. Paradoxes perception and smartphone use by Brazilian executives: Is this genderless?
Beirne Interpretations of management and modernisation at the UK R oyal M ail: shifting boundaries and patterns of resistance?
Karpunina et al. Conversation economy’as a determinant of digital development: new opportunities and latent threats
Welch Internal communication
US20220383262A1 (en) Method and system for providing portable curriculum vitae
CN110414817A (en) A kind of insurance industry business personnel Work management system
JP2007233683A (en) Employment guide server, employment system providing job experience, its method and program
Tan et al. Designing Groupware that Fosters Social Capital Creation: Can Facebook Support Global Virtual Team?
WO2021212924A1 (en) Community care system for establishing interpersonal networks
Piccoli Virtual teams: An investigation of the determinants of team effectiveness and the contribution of managerial behavior control
US20240177084A1 (en) Knowledge management systems and methods
Gol Organizing Work on Creative Crowdwork Platforms: A Practice Perspective

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
WD01 Invention patent application deemed withdrawn after publication
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20190201