CN111144853A - Multi-mode recognition-based interviewing system for human resources - Google Patents
Multi-mode recognition-based interviewing system for human resources Download PDFInfo
- Publication number
- CN111144853A CN111144853A CN202010045434.9A CN202010045434A CN111144853A CN 111144853 A CN111144853 A CN 111144853A CN 202010045434 A CN202010045434 A CN 202010045434A CN 111144853 A CN111144853 A CN 111144853A
- Authority
- CN
- China
- Prior art keywords
- module
- enterprise
- information
- job seekers
- interview
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000004458 analytical method Methods 0.000 claims abstract description 23
- 238000007405 data analysis Methods 0.000 claims abstract description 13
- 238000009826 distribution Methods 0.000 claims abstract description 12
- 230000008921 facial expression Effects 0.000 claims abstract description 12
- 238000012790 confirmation Methods 0.000 claims abstract description 7
- 230000014509 gene expression Effects 0.000 claims abstract description 6
- 230000009467 reduction Effects 0.000 claims description 10
- 238000011156 evaluation Methods 0.000 claims description 5
- 238000000605 extraction Methods 0.000 claims description 4
- 238000004891 communication Methods 0.000 abstract description 7
- 230000008520 organization Effects 0.000 description 9
- 238000011161 development Methods 0.000 description 6
- 238000010586 diagram Methods 0.000 description 5
- 230000000694 effects Effects 0.000 description 4
- 238000000034 method Methods 0.000 description 4
- 230000008569 process Effects 0.000 description 4
- 230000004044 response Effects 0.000 description 4
- 238000011157 data evaluation Methods 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 238000012216 screening Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/105—Human resources
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/174—Facial expression recognition
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/70—Multimodal biometrics, e.g. combining information from different biometric modalities
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Entrepreneurship & Innovation (AREA)
- Human Computer Interaction (AREA)
- Multimedia (AREA)
- Strategic Management (AREA)
- Data Mining & Analysis (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Economics (AREA)
- Marketing (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a human resource interview system based on multi-mode recognition, which comprises a server, an embedded system and edge computing equipment, wherein the server comprises a login information confirmation module, an information analysis module, an information sending module and an information storage module, and a mobile terminal is used for constructing a communication platform for job seekers, enterprise users and the like. The embedded system is carried by the edge computing equipment, and the hardware and the software are combined to be applied to scenes such as one-to-one conversation, question and answer, so that when an enterprise conducts interview on job seekers, facial expressions and thermal inductance distribution of the job seekers can be collected, voices of the job seekers are collected in a question and answer mode, model analysis is built through micro expressions, pulse waves and sounds, the truth degree, the credibility, the real-time state, the character color and the like of the job seekers are judged, the enterprise can conveniently select proper talents according to data analysis, and the enterprise is suitable for wide popularization and use.
Description
Technical Field
The invention relates to the field of human resources, in particular to a human resource interview system based on multi-mode recognition.
Background
The interview is an indispensable link of job seekers in the work finding process, the interview gives the opportunity of two-way communication between enterprises and job seekers, and is an important way for the enterprises and the job seekers to know each other, and in the enterprise job hunting process, the enterprise personnel screen proper talents from a large amount of job seeker information, and know the job seeker information through interviews with the job seekers, data filled by the job seekers and the like, the enterprise personnel is required to screen and analyze the job seeker information, the workload is large, careless mistakes are easy to occur, and the job seekers are also required to find suitable posts from a large amount of enterprises, so that the job seekers are inconvenient. Therefore, we propose an interview system for human resources based on multi-modal recognition.
Disclosure of Invention
The invention aims to provide a human resource interview system based on multi-modal recognition, which solves the problems in the background art.
In order to achieve the purpose, the invention provides the following technical scheme: the utility model provides a human resources is with interview system based on multimode discernment, includes server, embedded system and edge computing equipment, the server is including logging in information confirmation module, information analysis module, information transmission module and information storage module, it is used for framework communication platform such as job seeker, enterprise user to remove the end, embedded system includes enterprise information module, enterprise management module, question answering module and data analysis module, embedded system is enterprise management system, edge computing equipment is the multimode equipment of carrying on embedded system.
As a preferred embodiment of the present invention, the server includes a mobile terminal and a web terminal, the login information confirmation module is used for the user to log in, fill in and improve user data, then the enterprise data is merged to form a company list, and the job seeker fills in a questionnaire.
As a preferred embodiment of the present invention, the information analysis module performs preliminary evaluation on a questionnaire filled by a job seeker and forms an analysis result, the information sending module sends an interview invitation notification to the job seeker according to the analysis result to provide a hunting service, and the information storage module forms a personal center for user information and uploads data to a cloud.
As a preferred embodiment of the present invention, the enterprise information module is used for enterprise account login, the enterprise management module includes company information management, talent management and human resource content management, the question-answering module is a multi-mode device question-answering system, and includes micro-expression recognition, pulse wave extraction and voice recognition, and the data analysis module forms data analysis reports from the data recognized by the question-answering module.
In a preferred embodiment of the present invention, the edge computing device includes a device body, an infrared camera, and a noise reduction pickup.
In a preferred embodiment of the invention, the edge computing device collects facial expressions and thermal distributions of job seekers through an infrared camera, the micro-expression recognition recognizes and classifies the facial expressions of job seekers, seven basic expression recognitions of happiness, hurt, fear, anger, disgust, surprise and slight tingle are output, the pulse wave extraction extracts pulse waves from the thermal distributions, and tense and normal results are output according to pulse wave data.
As a preferred embodiment of the present invention, the edge computing device picks up the voice of the job seeker through a noise reduction pickup, and the voice recognition recognizes the answer of the job seeker, determines the psychological state of the job seeker according to the tone, loudness, and the like, and outputs two results of the answer and the tension and normal of the job seeker.
Compared with the prior art, the invention has the following beneficial effects:
1. according to the interview system for the human resources based on the multi-mode recognition, the embedded system is carried by the edge computing equipment, and the hardware and the software are combined and applied to one-to-one conversation, question and answer scenes, so that when an enterprise interviews a job seeker, the facial expression and the heat distribution of the job seeker can be collected, the voice of the job seeker is collected in a question and answer mode, the micro expression, the pulse wave and the voice are used for establishing model analysis, the truth, the honesty, the real-time state, the character color and the like of the job seeker are judged, and the enterprise can conveniently select the appropriate talents according to data analysis.
2. The invention discloses a multi-mode recognition-based human resource interview system, which constructs a communication platform between job seekers and enterprise users through a server, completes data by filling user data to form a company list, fills questionnaires by the job seekers and performs preliminary data evaluation on the questionnaires to form an analysis result and sends the analysis result to corresponding enterprises, and the enterprises send interview invitation notifications to the job seekers through the server according to the analysis result.
3. The human resource interview system based on multi-mode recognition establishes an enterprise management system through an embedded system to manage company information, talent bases and human resource contents, is convenient for enterprises to effectively use related human resources inside and outside an organization, meets the requirements of the current and future development of the organization, and ensures a series of activities of realizing organization targets and maximizing member development.
4. According to the human resource interview system based on multi-mode recognition, the infrared camera and the noise reduction pickup in the edge computing device provide necessary device support for collecting facial expressions, thermal inductance distribution and voice of job seekers, the device body analyzes and processes data near the data generation source, data circulation is avoided, and network flow and response time are reduced.
Drawings
Other features, objects and advantages of the invention will become more apparent upon reading of the detailed description of non-limiting embodiments with reference to the following drawings:
FIG. 1 is a system architecture diagram of a human resources interview system based on multi-modal recognition in accordance with the present invention;
FIG. 2 is a system structure diagram of a mobile terminal in the human resource interview system based on multi-modal recognition according to the present invention;
FIG. 3 is a system structure diagram of an embedded system in the human resource interview system based on multi-modal recognition according to the present invention;
FIG. 4 is a system diagram of a question and answer module of the human resources interview system based on multi-modal recognition;
FIG. 5 is a schematic structural diagram of an edge computing device in the human resource interview system based on multi-modal recognition according to the present invention.
In the figure: 1. an apparatus main body; 2. an infrared camera; 3. a noise reduction pickup is provided.
Detailed Description
In order to make the technical means, the creation characteristics, the achievement purposes and the effects of the invention easy to understand, the invention is further described with the specific embodiments.
Referring to fig. 1-5, the present invention provides a technical solution: the utility model provides a human resources is with interview system based on multimode discernment, includes server, embedded system and edge computing equipment, the server is including logging in information confirmation module, information analysis module, information transmission module and information storage module, it is used for framework communication platform such as job seeker, enterprise user to remove the end, embedded system includes enterprise information module, enterprise management module, question answering module and data analysis module, embedded system is enterprise management system, edge computing equipment is the multimode equipment of carrying on embedded system.
In the embodiment, the server comprises a mobile terminal and a web terminal, the login information confirmation module is used for a user to log in, fill in and improve user data, then enterprise data are combined to form a company list, job seekers fill in questionnaires, the information analysis module is used for carrying out preliminary evaluation on the questionnaires filled by the job seekers and forming analysis results, the information sending module is used for sending interview invitation notices to the job seekers according to the analysis results to provide hunting services, the information storage module is used for forming a personal center according to the user information and uploading the data to a cloud end, the server constructs a communication platform between the job seekers and enterprise users, the company list is formed by filling in the user data, meanwhile, the job seekers fill in the questionnaires and carry out preliminary data evaluation on the questionnaires to form analysis results which are sent to corresponding enterprises, the enterprises send the interview invitation notices to the job seekers through the server according to the analysis results, the server provides hunting service, the preliminary evaluation saves the manual screening link of job hunters and enterprises, the workload of job hunters and enterprises is reduced, a foundation is provided for subsequent interviews, the enterprise information module is used for enterprise account login, the enterprise management module comprises company information management, talent bank management and human resource content management, the question-answering module is a multi-mode equipment question-answering system and comprises micro-expression recognition, pulse wave extraction and voice recognition, the data analysis module forms data identified by the question-answering module into a data analysis report, the embedded system establishes the enterprise management system to manage the company information, the talent bank and the human resource content, the enterprise can effectively utilize related human resources inside and outside the organization, the requirements of the current and future development of the organization are met, and the realization of the organization target and the maximized series of activities of member development are ensured, the edge computing equipment comprises an equipment main body 1, an infrared camera 2 and a noise reduction pickup 3, the infrared camera 2 and the noise reduction pickup 3 in the edge computing equipment provide necessary equipment support for collecting facial expressions, thermal inductance distribution and voice of job seekers, the equipment main body 1 carries out data analysis and data processing near a data generation source, data circulation is avoided, network flow and response time are reduced, the edge computing equipment collects the facial expressions and the thermal inductance distribution of the job seekers through the infrared camera 2, the micro-expression recognition identifies and classifies the facial expressions of the job seekers, seven basic expression recognition of happiness, hurt, fear, anger, disgust, surprise and libel are output, pulse waves are extracted from the thermal inductance distribution, tense and normal results are output according to the pulse wave data, the edge computing equipment collects the voice of the job seekers through the noise reduction pickup 3, the voice recognition identifies the responses of the job seeker, judges the psychological state of the job seeker according to tone, loudness and the like, outputs answer sheets and two results of tension and normal of the job seeker, the edge computing equipment is provided with an embedded system, hardware and software are combined and applied to scenes of one-to-one conversation, question answering and the like, when an enterprise conducts interviewing on the job seeker, facial expression and thermal distribution of the job seeker can be collected, voices of the job seeker are collected through a question answering mode, model analysis is built through micro expression, pulse waves and sounds, the truth degree, the honesty degree, the real-time state, the character color and the like of the job seeker are judged, and the enterprise can conveniently select proper talents according to data analysis.
When the multi-modal recognition-based human resource interview system is used, a server is connected with an embedded system, the embedded system is installed in edge computing equipment, a job seeker and an enterprise log in the server for registration and fill in user data, the server constructs a communication platform between the job seeker and an enterprise user, data is perfected by filling in the user data to form a company list, then the job seeker fills in a questionnaire and the server performs preliminary data evaluation on the questionnaire to form an analysis result which is sent to a corresponding enterprise, the enterprise sends an interview invitation notice to the job seeker through the server according to the analysis result, a personal center is formed according to the user information, the data is uploaded to a cloud end and the embedded system, the server provides hunting service at the moment, manual screening of the job seeker and the enterprise is omitted for the preliminary evaluation, and the workload of the job seeker and the enterprise is reduced, the embedded system establishes an enterprise management system to manage company information, a talent bank and human resource contents, so that the enterprise can effectively utilize related human resources inside and outside the organization, meet the requirements of the organization on current and future development, ensure that the organization target realizes a series of activities maximized with member development, an infrared camera 2 and a noise reduction pickup 3 in the edge computing device provide necessary device support for collecting facial expressions, thermal distribution and voice of job seekers, and a device main body 1 analyzes and processes data near a data generation source, so that data circulation is avoided, and network flow and response time are reduced.
While there have been shown and described what are at present considered the fundamental principles and essential features of the invention and its advantages, it will be apparent to those skilled in the art that the invention is not limited to the details of the foregoing exemplary embodiments, but is capable of other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Furthermore, it should be understood that although the present description refers to embodiments, not every embodiment may contain only a single embodiment, and such description is for clarity only, and those skilled in the art should integrate the description, and the embodiments may be combined as appropriate to form other embodiments understood by those skilled in the art.
Claims (7)
1. The utility model provides a human resources is with interview system based on multi-modal discernment, includes server, embedded system and marginal computing device which characterized in that: the server comprises a login information confirmation module, an information analysis module, an information sending module and an information storage module, the mobile terminal is used for constructing and communicating platforms for job seekers, enterprise users and the like, the embedded system comprises an enterprise information module, an enterprise management module, a question and answer module and a data analysis module, the embedded system is an enterprise management system, and the edge computing equipment is multi-mode equipment carrying the embedded system.
2. The interview system for human resources based on multi-modal recognition as recited in claim 1, wherein: the server comprises a mobile terminal and a web terminal, wherein the login information confirmation module is used for registering and logging in a user, filling and improving user data, then enterprise data are combined to form a company list, and job seekers fill in questionnaires.
3. The interview system for human resources based on multi-modal recognition as recited in claim 1, wherein: the information analysis module is used for carrying out preliminary evaluation on questionnaires filled by job seekers and forming analysis results, the information sending module is used for sending interview invitation notices to the job seekers according to the analysis results and providing hunting services, and the information storage module is used for forming a personal center aiming at user information and uploading data to a cloud.
4. The interview system for human resources based on multi-modal recognition as recited in claim 1, wherein: the enterprise information module is used for logging in an enterprise account, the enterprise management module comprises company information management, talent management and human resource content management, the question-answering module is a multi-mode equipment question-answering system and comprises micro-expression recognition, pulse wave extraction and voice recognition, and the data analysis module forms data analysis reports with data recognized by the question-answering module.
5. The interview system for human resources based on multi-modal recognition as recited in claim 1, wherein: the edge computing device comprises a device body (1), an infrared camera (2) and a noise reduction pickup (3).
6. The interview system for human resources based on multi-modal recognition as recited in claim 1, wherein: the edge computing equipment collects facial expressions and thermal distribution of job seekers through an infrared camera (2), the micro-expression recognition recognizes and classifies the facial expressions of the job seekers, seven basic expression recognitions of happiness, hurry, fear, anger, disgust, surprise and slight are output, pulse waves are extracted from the thermal distribution, and tense and normal results are output according to pulse wave data.
7. The interview system for human resources based on multi-modal recognition as recited in claim 1, wherein: the edge computing equipment picks up the voice of job seeker through the noise reduction pickup (3), the voice recognition job seeker answers, judges the psychological state of job seeker according to tone, loudness and the like, and outputs two results of job seeker answer sheet and tension and normal.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010045434.9A CN111144853A (en) | 2020-01-16 | 2020-01-16 | Multi-mode recognition-based interviewing system for human resources |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010045434.9A CN111144853A (en) | 2020-01-16 | 2020-01-16 | Multi-mode recognition-based interviewing system for human resources |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111144853A true CN111144853A (en) | 2020-05-12 |
Family
ID=70525357
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010045434.9A Pending CN111144853A (en) | 2020-01-16 | 2020-01-16 | Multi-mode recognition-based interviewing system for human resources |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111144853A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114129162A (en) * | 2021-09-26 | 2022-03-04 | 中国农业银行股份有限公司重庆市分行 | Anti-fraud auxiliary system and method based on Internet of things |
| CN116091014A (en) * | 2023-03-07 | 2023-05-09 | 安徽智享云科技有限公司 | Human resource interview system based on multi-mode identification |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108805523A (en) * | 2018-05-24 | 2018-11-13 | 佛山市轻遣网络有限公司 | It is a kind of can Auto-matching work network recruitment system and method |
| CN109961271A (en) * | 2019-03-24 | 2019-07-02 | 孔德议 | A kind of human resources recruitment information management system |
| CN110135800A (en) * | 2019-04-23 | 2019-08-16 | 南京葡萄诚信息科技有限公司 | A kind of artificial intelligence video interview method and system |
| CN110162599A (en) * | 2019-04-15 | 2019-08-23 | 深圳壹账通智能科技有限公司 | Personnel recruitment and interview method, apparatus and computer readable storage medium |
| CN110648104A (en) * | 2019-08-01 | 2020-01-03 | 北京天麦有一网络科技有限公司 | Intelligent human resource screening system and method |
| CN211506569U (en) * | 2020-01-16 | 2020-09-15 | 南京思特齐科技有限公司 | Multi-mode recognition-based interviewing system and equipment for human resources |
-
2020
- 2020-01-16 CN CN202010045434.9A patent/CN111144853A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108805523A (en) * | 2018-05-24 | 2018-11-13 | 佛山市轻遣网络有限公司 | It is a kind of can Auto-matching work network recruitment system and method |
| CN109961271A (en) * | 2019-03-24 | 2019-07-02 | 孔德议 | A kind of human resources recruitment information management system |
| CN110162599A (en) * | 2019-04-15 | 2019-08-23 | 深圳壹账通智能科技有限公司 | Personnel recruitment and interview method, apparatus and computer readable storage medium |
| CN110135800A (en) * | 2019-04-23 | 2019-08-16 | 南京葡萄诚信息科技有限公司 | A kind of artificial intelligence video interview method and system |
| CN110648104A (en) * | 2019-08-01 | 2020-01-03 | 北京天麦有一网络科技有限公司 | Intelligent human resource screening system and method |
| CN211506569U (en) * | 2020-01-16 | 2020-09-15 | 南京思特齐科技有限公司 | Multi-mode recognition-based interviewing system and equipment for human resources |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114129162A (en) * | 2021-09-26 | 2022-03-04 | 中国农业银行股份有限公司重庆市分行 | Anti-fraud auxiliary system and method based on Internet of things |
| CN116091014A (en) * | 2023-03-07 | 2023-05-09 | 安徽智享云科技有限公司 | Human resource interview system based on multi-mode identification |
| CN116091014B (en) * | 2023-03-07 | 2023-08-25 | 安徽智享云科技有限公司 | Human resource interview system based on multi-mode identification |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107053208B (en) | A kind of method of active dialog interaction robot system and the system active interlocution | |
| CN106686339A (en) | Electronic Meeting Intelligence | |
| CN111739553B (en) | Conference sound collection, conference record and conference record presentation method and device | |
| CN111860868B (en) | Training sample construction method, device, equipment and computer readable storage medium | |
| CN106685916A (en) | Electronic meeting intelligence | |
| CN104636501A (en) | Multimedia network artificial instant translation system and multimedia network artificial instant translation method | |
| CN111144853A (en) | Multi-mode recognition-based interviewing system for human resources | |
| CN112581813A (en) | Intelligent interactive remote education system based on big data | |
| CN109685462A (en) | A kind of personnel and post matching method, apparatus, system, equipment and medium | |
| CN105094641A (en) | Question-answer interaction method and device based on voice | |
| CN112418779A (en) | Online self-service interviewing method based on natural language understanding | |
| CN110049006A (en) | In real time with more people's telereference System and method fors of non real-time combination | |
| Hudson et al. | Working on educational research methods with Masters students in an international online learning community | |
| CN111429101A (en) | Remote interview system and method based on artificial intelligence | |
| CN211506569U (en) | Multi-mode recognition-based interviewing system and equipment for human resources | |
| CN111405236A (en) | Video conference big data analysis method and system | |
| CN110570074A (en) | safety education smart voice system based on iBeacon | |
| CN107222542A (en) | A kind of construction method of cloud service management system | |
| KR20190100698A (en) | Method for communication among students based on online lecture, smart device, server and system for the same | |
| CN112465677A (en) | Teaching platform for online education | |
| WO2019000051A1 (en) | Data analysis method and learning system | |
| CN114999249A (en) | Remote teaching system, method and storage medium based on cloud platform | |
| CN107563930A (en) | A kind of talent of high caliber's informix service management system | |
| CN107171942A (en) | A kind of integrated apparatus used based on work of developing a party wechat from media platform | |
| CN106484854A (en) | A kind of discussion-of-politics service system based on intelligent mobile phone platform |
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 |