CN109347903A - A kind of campus message pushing and optimizing method based on generalized information system - Google Patents

A kind of campus message pushing and optimizing method based on generalized information system Download PDF

Info

Publication number
CN109347903A
CN109347903A CN201810985953.6A CN201810985953A CN109347903A CN 109347903 A CN109347903 A CN 109347903A CN 201810985953 A CN201810985953 A CN 201810985953A CN 109347903 A CN109347903 A CN 109347903A
Authority
CN
China
Prior art keywords
campus
information
class
student
message
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.)
Granted
Application number
CN201810985953.6A
Other languages
Chinese (zh)
Other versions
CN109347903B (en
Inventor
张贵军
李娟�
宋焦朋
郑小梦
周晓根
王柳静
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.)
Zhejiang University of Technology ZJUT
Original Assignee
Zhejiang University of Technology ZJUT
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 Zhejiang University of Technology ZJUT filed Critical Zhejiang University of Technology ZJUT
Priority to CN201810985953.6A priority Critical patent/CN109347903B/en
Publication of CN109347903A publication Critical patent/CN109347903A/en
Application granted granted Critical
Publication of CN109347903B publication Critical patent/CN109347903B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/04—Network management architectures or arrangements
    • H04L41/044—Network management architectures or arrangements comprising hierarchical management structures
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/14—Network analysis or design
    • H04L41/145—Network analysis or design involving simulating, designing, planning or modelling of a network
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/50—Network services
    • H04L67/52—Network services specially adapted for the location of the user terminal
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/50—Network services
    • H04L67/55—Push-based network services

Abstract

A kind of campus message pushing and optimizing method based on generalized information system, first use Decision Tree Algorithm by member classifying into corresponding group according to the personal information of campus member, and then the campus information behavior based on generalized information system statistics campus member, carry out tagsort, every kind of feature is given with certain weight, then the redundancy in the PUSH message of campus is removed by big data technology, and classified according to the tagsort result of campus member, and then creation analysis model, different message is finally pushed to different campus members according to weight and interest characteristics.The present invention can satisfy the PUSH message demand of different campus members.

Description

A kind of campus message pushing and optimizing method based on generalized information system
Technical field
The present invention relates to a kind of internet, Intelligent campus, big data processing, computer application field, more particularly to A kind of campus message pushing and optimizing method based on generalized information system.
Background technique
In the age of internet prevalence, there are the production factors of multi-source and the integrated feature of numerous resources in internet, and gradually Mutually blend with social each field, internet is increasingly becoming the indispensable a part of social development, derives in this context A kind of neomorph of internet development, i.e., currently popular " internet+" mode.Under the background of current " internet+", mutually It networks not only closely bound up with various economic industries, is even more important role in Intelligent campus construction.
As science and technology penetrate into various industries, for the colleges and universities as scientific and technological industry concentration, the technology in campus changes Leather is particularly important.Intelligent campus realizes the shared and communication exchange in campus-wide between personnel and resource, greatly Improve the quality of university campus management.At this stage, most campuses open Intelligent campus development model, such as using movement Network carries out student information inquiry, campus business handling etc..Intelligent campus has the advantages that various:
First, implementation individual pertinent service that can be sub-category.Intelligent campus can come according to the demand of teachers and students in school Targetedly serviced；
Second, there is Classification Management ability.Under the support of information technology and computer technology, Intelligent campus can be real Connection between existing Internet resources and Students ' Demand, and the effect for substantially increasing student work study is incorporated among links Rate；
Third has extensive comprehensive.Colleges and universities' Intelligent campus can carry out effective connection with the campus external world, to establish Link integrated education mechanism.
University student is as in Knowledge Set, the group in thought forward position, it has also become the very important master of one in Internet technology Power army.Unlike the crowd of all kinds of each stratum of social being, student can rapidly receive the product of Environment Science, such as each in campus Class modern information technologies interactive tool.Since the propagation of the Internet media information is rapid, have very strong interactivity, is based on big data The features such as network of platform possesses huge information content, becomes campus then information technology influence power in colleges and universities is increasing Raw group obtains resource, the first choice of communication exchange.
Computer networking technology and the technical application of internet are built for Intelligent campus provides important technology premise, most The it is proposed of " internet+" concept further promoted the development and application of colleges and universities' Intelligent campus mode in recent years.It is more than Chinese, Almost all of colleges and universities have strided forward " Intelligent campus " " scientific and technological campus " in the world.The realization of Intelligent campus is colleges and universities' sustainable development The inevitable requirement of exhibition.First, important resource, which is provided, for the development of Intelligent campus based on the information development situation of cloud data protects Barrier；Second, student youth of new generation, which has, to grow with each passing hour, the self diathesis synchronous with scientific and technological informationization teaching.
But for the construction situation of domestic Intelligent campus, campus network system construction is enclosed in campus wisdom platform It builds to the current generation, wherein campus service management system has closure other than information-based deficiency.In the management of social undertakings In service system, network information resouces' sharing mode is largely introduced, increased capital is put into so that its system Construction has centainly Open ingredient.Middle institution of higher education has critical role in China's education system, carries talent's output of entire country, Due to large number of in campus middle school student, management organization and service department are numerous, and Service management process mechanism is cumbersome, in addition campus Platform needs typing and a large amount of personal information of classification, such as teachers' salaries, Tuition, students' result enquiry content, needs Show in different platforms.It should simplify literary writing by leaving out superfluous words in the wisdom platform construction of campus, by campus network management platform in " internet + " background under accomplish real " wisdom ".
In the past, campus member can only pass through personal computer receiving and dispatching mail, access website notice, upload downloading e-teaching plan Deng；With the universal and instant message applications of campus informatization, memorandum recording software, schedule management software appearance intelligent movable Equipment is not only used to communicate and entertain, and also gradually penetrates into life, the study, administrative office, teaching and scientific research of the member that arrives school In.The development advanced by leaps and bounds with Internet technology, the mobile applications such as instant message applications, memorandum recording software, schedule management are soft Part function is popular, is not suitable for this specific group of campus member.
Therefore, existing campus information push method Shortcomings, need to improve.
Summary of the invention
In order to solve existing campus information push method in terms of select PUSH message present in deficiency, the present invention according to The personal information of campus member is classified in unused group, be then based on generalized information system to the campus behavior of the consumer group into Row analysis, and then creation analysis model finally determine optimal PUSH message, thus provide one kind can satisfy different campuses at The message pushing and optimizing method that member needs.
The technical method that the present invention solves the use of its technical problem is:
A kind of campus message pushing and optimizing method based on generalized information system, the described method comprises the following steps:
1) personal information of all campus members is counted, the personal information includes the gender of student and teacher, institute, year The job category of grade and staff, obtain and record the personal information of all campus members；
2) behavior based on generalized information system record campus member in certain time in campus, teacher pass through in the time after school The Locale information and student often gone goes various campus places and the frequency using campus facility, and staff is in work The place that the work outer time goes, by recording these geography information, and then creation analysis model；
3) pass through step 1) and 2) campus information about firms obtained and the behavioral data in campus, creation analysis mould Type, analysis model are divided into three layers, are at the middle and upper levels destination layer T, and middle layer is data Layer D, and lower layer is resultant layer R；
4) destination layer is constructed, process is as follows:
4.1) in destination layer T, classified using decision Tree algorithms to campus member, first according to campus member individual Member is divided into student's class S by the job category characteristic information in information1, teacher's class T1With staff's class W1Three classes；
4.2) according to features such as institute, grade and genders to student's class S1Secondary classification is carried out, according to institute and age To teacher's class T1With staff W1Carrying out secondary classification obtains the classification results S based on campus information about firms simultaneously2、T2And W2；
4.3) behavioral data based on generalized information system record campus member in campus, to student's class S after secondary classification2、 Teacher's class T2With staff's class W2Three subseries are carried out, setting is different classes of to have weight shared by different characteristic information, obtains Final classification results S3、T3And W3；
5) in data Layer D, the redundancy in all campus message M, high-ranking officers are removed by big data processing method Garden pushed information is divided into necessary information and interest information, is classified using k nearest neighbor algorithm to campus interest message, according to school Characteristic information in the classification results of garden member is divided into different classifications, including study, life, scientific research and Working information；
6) in resultant layer R, the interest message in the PUSH message of campus is based on every in destination layer final classification result The weight of a kind of institute's band is pushed, and pushes different interest messages to student's class, classroom class and staff's class respectively.
Technical concept of the invention are as follows: first divided member using Decision Tree Algorithm according to the personal information of campus member Class is into corresponding group, and then the campus information behavior based on generalized information system statistics campus member, carries out tagsort, gives Then every kind of feature removes the redundancy in the PUSH message of campus by big data technology with certain weight, and according to school The tagsort result of garden member is classified, and then creation analysis model, finally according to weight and interest characteristics to difference Campus member push different message.
Beneficial effects of the present invention are mainly manifested in: passing through the individual of qualitative, quantitative analyzing influence difference campus member Information records campus member in the campus behavioural information of certain time by the real-time positioning of generalized information system, corresponding feature is arranged Weight, and then the characteristic information and creation analysis model of campus member are analyzed, according to weight and school when PUSH message The reasonable campus information of the feature selecting of garden member is pushed to user, so that it is single to efficiently solve traditional campus message push Push mode change, blindness substantially increases Intelligent campus and the information tendency of different characteristic campus member is held, effectively Improve the information push quality of information acquisition efficiency and Intelligent campus of the campus member in campus.
Detailed description of the invention
Fig. 1 is the flow chart of campus message pushing and optimizing method.
Fig. 2 is the Analytic Hierarchy Process Model of campus message pushing and optimizing granting.
Specific embodiment:
The present invention is further described with reference to the accompanying drawing.
Referring to Figures 1 and 2, a kind of campus message pushing and optimizing method based on generalized information system, the method includes following steps It is rapid:
1) campus personal information processing, counts the personal information of all campus members, the personal information include student and The job category of the gender of teacher, institute, grade and staff obtain and record the personal information of all campus members；
2) row of the location data analytic function record campus member in certain time in campus based on generalized information system The Locale information and student often gone for, teacher in the time after school goes to various campuses places and uses campus facility Frequency, staff is in the place that the outer time of working goes, by recording these geography information, and then creation analysis model；
3) pass through step 1) and 2) campus information about firms obtained and the behavioral data in campus, creation analysis mould Type, analysis model are divided into three layers, are at the middle and upper levels destination layer T, and middle layer is data Layer D, and lower layer is resultant layer R；
4) destination layer is constructed, process is as follows:
4.1) in destination layer T, classified using decision Tree algorithms to campus member, first according to campus member individual Member is divided into student's class S by the job category characteristic information in information1, teacher's class T1With staff's class W1Three classes；
4.2) according to features such as institute, grade and genders to student's class S1Secondary classification is carried out, according to institute and age To teacher's class T1With staff W1Carrying out secondary classification obtains the classification results S based on campus information about firms simultaneously2、T2And W2；
4.3) behavioral data based on generalized information system record campus member in campus, to student's class S after secondary classification2、 Teacher's class T2With staff's class W2Three subseries are carried out, setting is different classes of to have weight shared by different characteristic information, obtains Final classification results S3、T3And W3；
5) in data Layer D, the redundancy in all campus message M, high-ranking officers are removed by big data processing method Garden pushed information is divided into necessary information and interest information, is classified using k nearest neighbor algorithm to campus interest message, according to school Characteristic information in the classification results of garden member is divided into different classifications, including study, life, scientific research and Working information；
6) in resultant layer R, the interest message in the PUSH message of campus is based on every in destination layer final classification result The weight of a kind of institute's band is pushed, and pushes different interest messages to student's class, classroom class and staff's class respectively.
Referring to Fig.1 with 2, in this example, by taking the push of Zhejiang Polytechnical University's Information Institute laboratory message as an example, Yi Zhongji In the campus message pushing and optimizing method of generalized information system, comprising the following steps:
1) campus information about firms is handled, and counts the personal information of all laboratory members, the personal information includes student With the gender of teacher, institute, the job category of grade and staff obtain and record the personal information of all members；
2) behavior based on generalized information system recording laboratory member in certain time in campus, teacher is in the time after school The Locale information and student often gone goes to various campus places and the frequency using campus facility, staff to exist The place that the work outer time goes, by recording these geography information,
And then creation analysis model；
3) pass through step 1) and 2) laboratory information about firms obtained and the behavioral data in campus,
Creation analysis model, analysis model are divided into three layers, are at the middle and upper levels destination layer T, and middle layer is data Layer D, lower layer For resultant layer R；
4) destination layer is constructed, process is as follows:
4.1) in destination layer T, classified using decision Tree algorithms to laboratory member, first according to laboratory member Member is divided into student's class S by the job category characteristic information in personal information1, teacher's class T1With staff's class W1Three classes；
4.2) according to features such as institute, grade and genders to student's class S1Secondary classification is carried out, according to institute and age To teacher's class T1With staff W1Carrying out secondary classification obtains the classification results S based on laboratory information about firms simultaneously2、T2With W2；
4.3) behavioral data based on generalized information system recording laboratory member in campus, to student's class after secondary classification S2, teacher's class T2With staff's class W2Three subseries are carried out, setting is different classes of to have weight shared by different characteristic information, Obtain final classification results S3、T3And W3；
5) in data Layer D, the redundancy in all campus message M, high-ranking officers are removed by big data processing method Garden pushed information is divided into necessary information and interest information, is classified close to algorithm to campus interest message using K, according to reality The characteristic information tested in the classification results of room member is divided into different classifications, including study, life, scientific research and Working information；
6) in resultant layer R, the interest message in the PUSH message of campus is based on every in destination layer final classification result The weight of a kind of institute's band is pushed, and pushes different interest messages to student's class, classroom class and staff's class respectively.
Described above is the excellent results that one embodiment that the present invention provides shows, it is clear that the present invention not only fits Above-described embodiment is closed, it can under the premise of without departing from essence spirit of the present invention and without departing from content involved by substantive content of the present invention Many variations are done to it to be implemented.

Claims (1)

1. a kind of campus message pushing and optimizing method based on generalized information system, which is characterized in that the described method comprises the following steps:
1) count the personal information of all campus members, the personal information includes the gender of student and teacher, institute, grade with And the job category of staff, obtain and record the personal information of all campus members；
2) behavior based on generalized information system record campus member in certain time in campus, teacher often go in the time after school Locale information and student go various campuses place and the frequency using campus facility, staff is outer in work The place that time goes, by recording these geography information, and then creation analysis model；
3) by step 1) and 2) campus information about firms obtained and the behavioral data in campus, creation analysis model, Analysis model is divided into three layers, is at the middle and upper levels destination layer T, and middle layer is data Layer D, and lower layer is resultant layer R；
4) destination layer is constructed, process is as follows:
4.1) in destination layer T, classified using decision Tree algorithms to campus member, first according to campus member's personal information In job category characteristic information member is divided into student's class S1, teacher's class T1With staff's class W1Three classes；
4.2) according to features such as institute, grade and genders to student's class S1Secondary classification is carried out, according to institute and age to teacher Class T1With staff W1Carrying out secondary classification obtains the classification results S based on campus information about firms simultaneously2、T2And W2；
4.3) behavioral data based on generalized information system record campus member in campus, to student's class S after secondary classification2, teacher Class T2With staff's class W2Three subseries are carried out, setting is different classes of to have weight shared by different characteristic information, obtains final Classification results S3、T3And W3；
5) in data Layer D, the redundancy in all campus message M is removed by big data processing method, campus is pushed away Breath of delivering letters be divided into must information and interest information, classified using k nearest neighbor algorithm to campus interest message, according to campus at Characteristic information in the classification results of member is divided into different classifications, including study, life, scientific research and Working information；
6) in resultant layer R, every one kind in destination layer final classification result is based on for the interest message in the PUSH message of campus The weight of institute's band is pushed, and pushes different interest messages to student's class, classroom class and staff's class respectively.
CN201810985953.6A 2018-08-28 2018-08-28 Campus message pushing optimization method based on GIS (geographic information System) Active CN109347903B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810985953.6A CN109347903B (en) 2018-08-28 2018-08-28 Campus message pushing optimization method based on GIS (geographic information System)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810985953.6A CN109347903B (en) 2018-08-28 2018-08-28 Campus message pushing optimization method based on GIS (geographic information System)

Publications (2)

Publication Number Publication Date
CN109347903A true CN109347903A (en) 2019-02-15
CN109347903B CN109347903B (en) 2021-02-26

Family

ID=65291726

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810985953.6A Active CN109347903B (en) 2018-08-28 2018-08-28 Campus message pushing optimization method based on GIS (geographic information System)

Country Status (1)

Country Link
CN (1) CN109347903B (en)

Citations (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2001069387A2 (en) * 2000-03-16 2001-09-20 Microsoft Corporation Notification platform architecture
CN102622701A (en) * 2012-04-12 2012-08-01 江苏运赢物联网产业发展有限公司 System and method for mass-decentralized and targeted delivery of advertising
CN105871492A (en) * 2016-06-03 2016-08-17 腾讯科技（深圳）有限公司 Information pushing method, terminal and server
CN106504099A (en) * 2015-09-07 2017-03-15 国家计算机网络与信息安全管理中心 A kind of system for building user's portrait
CN106503015A (en) * 2015-09-07 2017-03-15 国家计算机网络与信息安全管理中心 A kind of method for building user's portrait
CN106557846A (en) * 2016-11-30 2017-04-05 成都寻道科技有限公司 Based on university students school data graduation whereabouts Forecasting Methodology
CN106790452A (en) * 2016-12-07 2017-05-31 北京智云联众科技有限公司 A kind of advertisement delivery system
CN107167136A (en) * 2017-03-29 2017-09-15 南京邮电大学 Recommend method and system in a kind of position towards electronic map
CN107241403A (en) * 2017-05-31 2017-10-10 深圳前海弘稼科技有限公司 Method for pushing and pusher, server, equipment and readable storage medium storing program for executing
CN107368549A (en) * 2017-06-30 2017-11-21 华中科技大学鄂州工业技术研究院 Personalized government affairs service recommendation method and system based on deep learning
CN107662565A (en) * 2016-07-29 2018-02-06 长城汽车股份有限公司 Information acquisition method, system and the vehicle of vehicle
CN107895026A (en) * 2017-11-17 2018-04-10 联奕科技有限公司 A kind of implementation method of campus user portrait
CN108038804A (en) * 2017-12-25 2018-05-15 广州市卓创教育信息科技有限公司 A kind of school's big data management platform
CN108053257A (en) * 2017-12-27 2018-05-18 互动派科技股份有限公司 A kind of big data user runs the method for building up and application system of Pyramid
CN108090700A (en) * 2018-01-10 2018-05-29 重庆跃途科技有限公司 The evaluating method and system that a kind of campus operation sign monitoring based on campus big data is studied and judged
CN108366011A (en) * 2018-02-02 2018-08-03 成都智易生活管家家庭服务有限公司 A kind of community management system based on big data

Patent Citations (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2001069387A2 (en) * 2000-03-16 2001-09-20 Microsoft Corporation Notification platform architecture
CN102622701A (en) * 2012-04-12 2012-08-01 江苏运赢物联网产业发展有限公司 System and method for mass-decentralized and targeted delivery of advertising
CN106504099A (en) * 2015-09-07 2017-03-15 国家计算机网络与信息安全管理中心 A kind of system for building user's portrait
CN106503015A (en) * 2015-09-07 2017-03-15 国家计算机网络与信息安全管理中心 A kind of method for building user's portrait
CN105871492A (en) * 2016-06-03 2016-08-17 腾讯科技（深圳）有限公司 Information pushing method, terminal and server
CN107662565A (en) * 2016-07-29 2018-02-06 长城汽车股份有限公司 Information acquisition method, system and the vehicle of vehicle
CN106557846A (en) * 2016-11-30 2017-04-05 成都寻道科技有限公司 Based on university students school data graduation whereabouts Forecasting Methodology
CN106790452A (en) * 2016-12-07 2017-05-31 北京智云联众科技有限公司 A kind of advertisement delivery system
CN107167136A (en) * 2017-03-29 2017-09-15 南京邮电大学 Recommend method and system in a kind of position towards electronic map
CN107241403A (en) * 2017-05-31 2017-10-10 深圳前海弘稼科技有限公司 Method for pushing and pusher, server, equipment and readable storage medium storing program for executing
CN107368549A (en) * 2017-06-30 2017-11-21 华中科技大学鄂州工业技术研究院 Personalized government affairs service recommendation method and system based on deep learning
CN107895026A (en) * 2017-11-17 2018-04-10 联奕科技有限公司 A kind of implementation method of campus user portrait
CN108038804A (en) * 2017-12-25 2018-05-15 广州市卓创教育信息科技有限公司 A kind of school's big data management platform
CN108053257A (en) * 2017-12-27 2018-05-18 互动派科技股份有限公司 A kind of big data user runs the method for building up and application system of Pyramid
CN108090700A (en) * 2018-01-10 2018-05-29 重庆跃途科技有限公司 The evaluating method and system that a kind of campus operation sign monitoring based on campus big data is studied and judged
CN108366011A (en) * 2018-02-02 2018-08-03 成都智易生活管家家庭服务有限公司 A kind of community management system based on big data

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
佚名: ""基于用户群组的推荐系统构建方法与流程"", 《HTTP://WWW.XJISHU.COM/ZHUANLI/55/201710125609.HTML》 *
李英: ""基于富客户体验与WebGIS的智慧校园设计与实现"", 《中国优秀硕士学位论文全文数据库 信息科技辑》 *
王信波等: ""聚类算法分析及在GIS中心选址中的仿真研究"", 《计算机仿真》 *

Also Published As

Publication number Publication date
CN109347903B (en) 2021-02-26

Similar Documents

Publication Publication Date Title
Varajão et al. Using AHP and the IPMA Competence Baseline in the project managers selection process
Sahay et al. Implementation of GIS in India: Organizational issues and implications
Hegyes et al. Some aspects of digitalization and sustainability in the European Union
Doucek et al. Digital economy
Sułkowski et al. Internet of things-new paradigm of learning. Challenges for business
Malau Analysis of the Accounting Learning Digital Disruptive in Industrial Revolution 4.0 and Society 5.0
Gikenye et al. The diffusion of information and communication technologies in the informal sector in Kenya
Shen et al. Migration and development in China: introduction
CN109347903A (en) A kind of campus message pushing and optimizing method based on generalized information system
Marjanovic From analytics-as-a-service to analytics-as-a-consumer-service: Exploring a new direction in business intelligence and analytics research
Gökovalı et al. The role of human capital and collaboration with academia for innovation in hospitality sector: the case of Mugla.
Kalnyi et al. Peculiarities of diffusion of innovations in the regions of Ukraine
Saini et al. Information Communication Technologies for Research and Academic Development
Gutnisky et al. Entry barriers for industry 4.0 in Argentina
Chai et al. How Will the Smart Logistics Service of Universities Based on Big Data Be Transformed and Developed?: Taking Jiangnan University as an Example
Retnowardhani et al. Review Study of Business Intelligence to Support Strategic Decision Making
Law Information technology in hospitality education: A case study of Hong Kong
Shashikumara et al. Emerging Technology Trends for Libraries and Library Professionals
do Carmo et al. University business incubators as drivers of sustainability: the perspective of critical success factors
Knop et al. The Potential of Higher Education Institutions in the Context of Implementing Smart Specialisations
Sanchez-Ortiz et al. Identification of Competencies and Teaching Models for the Governance of Smart Sustainable Cities in the South American Context
Yalçın et al. Factors affecting sustainable design in architecture: perceptions from Turkey
Falótico et al. Effects of Remote Working in Fortune 500 Global Companies
Nesse et al. 5G and IoT: How telecom operators can boost innovation in collaboration with HW labs
Fedorov Big Data in E-Learning

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
GR01 Patent grant
GR01 Patent grant
EE01 Entry into force of recordation of patent licensing contract

Application publication date: 20190215

Assignee: Jiaxing Jinhean Information Technology Co.,Ltd.

Assignor: JIANG University OF TECHNOLOGY

Contract record no.: X2023980037562

Denomination of invention: An Optimization Method for Campus Message Push Based on GIS System

Granted publication date: 20210226

License type: Common License

Record date: 20230705

Application publication date: 20190215

Assignee: Jiaxing liangchuang Technology Co.,Ltd.

Assignor: JIANG University OF TECHNOLOGY

Contract record no.: X2023980037541

Denomination of invention: An Optimization Method for Campus Message Push Based on GIS System

Granted publication date: 20210226

License type: Common License

Record date: 20230705

Application publication date: 20190215

Assignee: Jiaxing Juteng Information Technology Co.,Ltd.

Assignor: JIANG University OF TECHNOLOGY

Contract record no.: X2023980037558

Denomination of invention: An Optimization Method for Campus Message Push Based on GIS System

Granted publication date: 20210226

License type: Common License

Record date: 20230705

EE01 Entry into force of recordation of patent licensing contract
EE01 Entry into force of recordation of patent licensing contract

Application publication date: 20190215

Assignee: Jiaxing beichuang Network Technology Co.,Ltd.

Assignor: JIANG University OF TECHNOLOGY

Contract record no.: X2023980037566

Denomination of invention: An Optimization Method for Campus Message Push Based on GIS System

Granted publication date: 20210226

License type: Common License

Record date: 20230706

Application publication date: 20190215

Assignee: Jiaxing Shangkun Technology Co.,Ltd.

Assignor: JIANG University OF TECHNOLOGY

Contract record no.: X2023980037610

Denomination of invention: An Optimization Method for Campus Message Push Based on GIS System

Granted publication date: 20210226

License type: Common License

Record date: 20230706

Application publication date: 20190215

Assignee: Songyang County Wonderful Advertising Co.,Ltd.

Assignor: JIANG University OF TECHNOLOGY

Contract record no.: X2023980037616

Denomination of invention: An Optimization Method for Campus Message Push Based on GIS System

Granted publication date: 20210226

License type: Common License

Record date: 20230706

Application publication date: 20190215

Assignee: Zhejiang Donghao Information Engineering Co.,Ltd.

Assignor: JIANG University OF TECHNOLOGY

Contract record no.: X2023980037553

Denomination of invention: An Optimization Method for Campus Message Push Based on GIS System

Granted publication date: 20210226

License type: Common License

Record date: 20230706

EE01 Entry into force of recordation of patent licensing contract
EE01 Entry into force of recordation of patent licensing contract

Application publication date: 20190215

Assignee: Zhejiang Yu'an Information Technology Co.,Ltd.

Assignor: JIANG University OF TECHNOLOGY

Contract record no.: X2023980041551

Denomination of invention: An Optimization Method for Campus Message Push Based on GIS System

Granted publication date: 20210226

License type: Common License

Record date: 20230912

Application publication date: 20190215

Assignee: Zhejiang Qianrong Technology Co.,Ltd.

Assignor: JIANG University OF TECHNOLOGY

Contract record no.: X2023980041549

Denomination of invention: An Optimization Method for Campus Message Push Based on GIS System

Granted publication date: 20210226

License type: Common License

Record date: 20230912

Application publication date: 20190215

Assignee: Hangzhou Damei Electric Power Technology Co.,Ltd.

Assignor: JIANG University OF TECHNOLOGY

Contract record no.: X2023980041547

Denomination of invention: An Optimization Method for Campus Message Push Based on GIS System

Granted publication date: 20210226

License type: Common License

Record date: 20230912

Application publication date: 20190215

Assignee: Zhejiang Xiyun Brand Technology Co.,Ltd.

Assignor: JIANG University OF TECHNOLOGY

Contract record no.: X2023980041544

Denomination of invention: An Optimization Method for Campus Message Push Based on GIS System

Granted publication date: 20210226

License type: Common License

Record date: 20230912

Application publication date: 20190215

Assignee: Hangzhou Xida Technology Co.,Ltd.

Assignor: JIANG University OF TECHNOLOGY

Contract record no.: X2023980041543

Denomination of invention: An Optimization Method for Campus Message Push Based on GIS System

Granted publication date: 20210226

License type: Common License

Record date: 20230912

EE01 Entry into force of recordation of patent licensing contract