CN112990865B - Collaborative work system, collaborative work method, storage medium and computer device - Google Patents
Collaborative work system, collaborative work method, storage medium and computer device Download PDFInfo
- Publication number
- CN112990865B CN112990865B CN202110260046.7A CN202110260046A CN112990865B CN 112990865 B CN112990865 B CN 112990865B CN 202110260046 A CN202110260046 A CN 202110260046A CN 112990865 B CN112990865 B CN 112990865B
- Authority
- CN
- China
- Prior art keywords
- module
- modification
- output
- standard
- users
- 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.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 22
- 230000004048 modification Effects 0.000 claims abstract description 63
- 238000012986 modification Methods 0.000 claims abstract description 63
- 238000004458 analytical method Methods 0.000 claims abstract description 19
- 230000002596 correlated effect Effects 0.000 claims abstract description 5
- 238000012790 confirmation Methods 0.000 claims description 14
- 230000009471 action Effects 0.000 claims description 3
- 230000008901 benefit Effects 0.000 description 11
- 230000006870 function Effects 0.000 description 7
- 238000004519 manufacturing process Methods 0.000 description 4
- 238000004891 communication Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 230000000875 corresponding effect Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 230000004044 response Effects 0.000 description 2
- 230000015572 biosynthetic process Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000011017 operating method Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
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
- G06Q10/101—Collaborative creation, e.g. joint development of products or services
Abstract
The application discloses a cooperative work system, a method, a storage medium and a computer device, wherein the cooperative work system comprises: the system comprises an acquisition unit, a management unit and an output unit, wherein the analysis module is arranged to be communicatively connected with the acquisition unit so as to correlate input information data according to a preset correlation standard, the management unit comprises an analysis module and a modification module, the modification module is arranged to be communicatively connected with the analysis module and can acquire all user input data under the same correlation standard from the analysis module, when the coincidence degree of the data correlated with the correlation standard is the lowest, the modification module automatically forms a modification strategy for merging the user input data under the same correlation standard according to a preset modification standard, the modification standard is implemented as the coincidence degree of the user input data, and the output unit can execute the modification strategy to correspondingly output modified results so as to output the results to all users correlated with the correlation standard.
Description
Technical Field
The present application relates to a collaboration platform, and more particularly, to a collaboration system, a collaboration method, a storage medium, and a computer device.
Background
At present, with the continuous development of technology, paperless office work and place-free office work are more and more popular. Paperless office work has been implemented step by step, whereas paperless office work requires a collaboration platform to work together members to share in real time. For enterprises, the office without places can reduce the self operation cost.
However, existing collaboration platforms cannot share one member's work content to another member's work interface in real-time. More importantly, the existing collaboration platform has a number of problems.
For example, when several members of a team develop a project together, the work content of each member may not be completely independent. In other words, the work content of one work member may overlap with the work content of another member. If online, such problems can be solved by on-line communication. However, in the collaboration platform, the members cannot communicate on the surface, so that remote communication is required, and during remote communication, the members cannot see the working interface of the other side, so that the members need to communicate through a remote collaboration tool. Therefore, the member needs to switch back and forth between at least two interfaces, so that great inconvenience is brought to the member, and the working efficiency is reduced.
Disclosure of Invention
It is an advantage of the present application to provide a collaborative system, method, storage medium, and computer apparatus that is capable of providing real-time remote shared space for project members to enable real-time interaction of the work members.
Another advantage of the present application is to provide a collaborative system, method, storage medium, and computer apparatus that enables project members to work in a remote studio and to learn about the work of other project members only by working on one interface.
Another advantage of the present application is to provide a collaborative work system, method, storage medium, and computer apparatus, wherein the collaborative work system can automatically identify whether work contents of a plurality of work members are repeated, and when the work contents are repeated, the corresponding project members can be prompted, thereby avoiding repeated work among the members.
Another advantage of the present application is to provide a collaborative work system, method, storage medium, and computer apparatus, wherein the collaborative work system can automatically detect similarity of work contents of project members, thereby preventing multiple project members from developing the same work task of the same content project at the same time.
Another advantage of the present application is to provide a collaborative system, method, storage medium, and computer apparatus in which a user of each item is able to contribute his own creative through the collaborative system, thereby providing a reference to other people of the same item.
Another advantage of the present application is to provide a collaborative system, method, storage medium, and computer apparatus, wherein the collaborative system is capable of automatically determining a degree of association between an item processed by a current user and all creatives stored in the collaborative system, thereby providing reference data for the current user in a targeted manner.
To achieve at least one of the above advantages, the present application provides a collaborative system, wherein the collaborative system comprises:
the acquisition unit is used for acquiring all information data input based on the collaborative work system;
a management unit, wherein the management unit comprises an analysis module and a modification module, an analysis module, wherein the analysis module is arranged to be communicatively connected to the acquisition unit to correlate input information data according to a preset correlation criterion, the modification module is arranged to be communicatively connected to the analysis module and is capable of acquiring all user input data under the same correlation criterion from the analysis module, and when the coincidence ratio of the data correlated with the correlation criterion is the lowest, the modification module automatically forms a modification strategy for merging the user input data under the same correlation criterion according to a preset modification criterion, wherein the modification criterion is implemented as the coincidence ratio of the user input data; and
and the output unit can execute the modification strategy to correspondingly output a modified result so as to output the output result to all users associated with the association standard.
According to an embodiment of the present application, the output unit includes an execution module, a splitting module, and an output module, where the execution module is configured to execute the modification policy formed by the modification module to form a display signal, the splitting module is configured to copy the display signal formed by the execution module, and the output module is configured to split the display signal according to the number of the users associated with the association criterion, so that a plurality of the users can obtain the same result at the same time.
According to an embodiment of the application, the collaborative system comprises a feedback unit, wherein the management unit comprises a confirmation prompting module, the confirmation prompting module is communicatively connected to the modification module, wherein the confirmation prompting module is configured to form a prompting message according to the modification strategy, the confirmation prompting module is communicatively connected to the execution module so that the execution module can execute the prompting message, and the feedback unit is communicatively connected to the modification module and the feedback unit, so that a confirmation signal for determining whether to modify is formed in response to a feedback action of a user after the prompting signal is formed.
According to an embodiment of the present application, the splitting module is capable of automatically splitting the number of execution results into the number of users associated with the association criterion.
According to an embodiment of the present application, the management unit includes a judging module and a recommending module, wherein the judging module is communicatively connected to the collecting unit, the judging module is configured to automatically obtain the data collected by the collecting unit, and judge the defined association of each user input port according to a judging standard, and the recommending module is configured to form at least one recommending policy according to a judging result formed by the judging module and a preset recommending standard, wherein the output unit is capable of outputting the recommending policy.
According to an embodiment of the present application, the recommendation criterion is implemented as a receptivity of the user-inputted past data, wherein the receptivity of the user-inputted past data is determined by a number of times the user-inputted past data is downloaded or a number of times the user is referenced.
According to another aspect of the present application, to achieve the above advantages, the present application provides a method of collaborative work, wherein the method of collaborative work comprises the steps of:
collecting all information data input based on the collaborative system;
associating the input information data based on an association criterion;
acquiring all data input by users under the same association standard, and automatically generating a modification strategy for combining the data input by the users under the same association standard according to a preset modification standard when the coincidence degree of the data associated with the association standard is the lowest, wherein the modification standard is implemented as the coincidence degree of the data input by the users; and
and executing the modification strategy to correspondingly output a modified result so as to output the output result to all users associated with the association standard.
According to an embodiment of the application, the method of co-operation comprises the steps of:
judging the relevance between the definitions of each user input port according to a judging standard;
forming at least one recommendation strategy according to the formed judgment result and a preset recommendation standard; and
and executing the recommendation strategy.
According to a further aspect of the present application, to achieve the above advantage, the present application provides a storage medium having instructions stored therein, wherein the instructions stored in the storage medium perform the method of co-operating as described above.
According to a further aspect of the present application, to achieve the above advantage, the present application provides a computer apparatus, wherein the computer apparatus comprises a storage medium as described above.
Drawings
Fig. 1 shows a block diagram of the cooperating system of the present application.
Fig. 2 shows a schematic diagram of an example of the application.
Fig. 3 shows a flow chart of the co-operating method according to the application.
Detailed Description
The following description is presented to enable one of ordinary skill in the art to make and use the application. The preferred embodiments in the following description are by way of example only and other obvious variations will occur to those skilled in the art. The basic principles of the application defined in the following description may be applied to other embodiments, variations, modifications, equivalents, and other technical solutions without departing from the spirit and scope of the application.
It will be understood that the terms "a" and "an" should be interpreted as referring to "at least one" or "one or more," i.e., in one embodiment, the number of elements may be one, while in another embodiment, the number of elements may be plural, and the term "a" should not be interpreted as limiting the number.
Referring to fig. 1 to 3, a cooperative system according to a preferred embodiment of the present application will be described in detail below, wherein the cooperative system includes a collecting unit 100, a managing unit 200, and an output unit 300.
In the present application, the collection unit 100, the management unit 200, and the output unit 300 are communicably connected to each other. The collection unit 100 includes a collection unit 100 for collecting all information data input based on the collaborative system, such as: documents, mind maps, etc.
The management unit 200 comprises an analysis module 2001, wherein the analysis module 2001 is arranged to be communicatively connected to the acquisition unit 100 for correlating the input information data according to a predetermined correlation criterion. In particular, in one embodiment, the association reference may be implemented as the same project name or user name under the same business name. In this way, a plurality of user-entered data operating at different inputs can be correlated to the same correlation criterion.
For example, when there are a plurality of users who perform the same item on-line at the same time, the analysis module 2001 may automatically associate them. The management unit 200 further comprises a modification module 2002. The modification module 2002 is arranged to be communicatively connected to the analysis module 2001 and is capable of obtaining data entered by all users under the same association criterion from the analysis module 2001 and automatically forming a modification policy for determining whether the data entered by the users under the same association criterion need to be modified according to a preset modification criterion. The modification criterion is implemented as a degree of coincidence of the user-entered data, wherein the degree of coincidence of the user-entered data is estimated by a degree of coincidence detection system. The coincidence detecting system can further obtain the coincidence of the data by calculating the coincidence of the information such as pictures, characters, documents and the like input by the user.
The output unit 300 is capable of executing the modification strategy to correspondingly output the modified result to output the output result to all users associated with the association reference through a display device (e.g., a display).
The output unit 300 includes an executing module 3001, a splitting module 3002 and an output module 3003, wherein the executing module 3001 is configured to execute the modification policy formed by the modifying module 2002 to form a display signal. The splitting module 3002 is configured to replicate the display signal formed by the executing module 3001. The output module 3003 is configured to split the display signal according to the number of the users associated with the association criterion, thereby enabling a plurality of the users to obtain the same result at the same time.
For example, as shown in fig. 2, when a plurality of users input based on the collaborative system, the acquisition unit 100 can acquire content (e.g., software code, architecture logic) input by each of the users. In addition, the input port of each user is predefined, for example, the reference of definition may be the name of an item (the production of some software).
The analysis module 2001 is arranged to automatically correlate users under the same item name. This means that the current item is handled by these users.
After the user who processes the current project writes or uploads the corresponding project data correspondingly, the modification module 2002 can automatically form a modification policy for determining whether the data input by the user under the same association standard needs to be modified according to the preset modification standard. Such as in the current example, multiple users are associated with the same item.
The modification module 2002 can automatically determine the coincidence of information written by all users (such as software part function module codes and part function architecture logic) according to information written by all users (such as software part function module codes and part function architecture logic) which is associated with 'the production of certain software', for example, three users respectively write codes of three different function modules, and then the modification module 2002 automatically forms a strategy for combining the codes of the three different function modules written by the three users respectively. In this way, all user displays associated with "production of a certain piece of software" will each be a complete software system. In this way, each member of the team associated with "production of a piece of software" can see the entire team's software development process. In this way, the cost of each member of the team to communicate can be reduced.
Preferably, the collaborative system further comprises a feedback unit 400. The management unit 200 further comprises a confirmation prompting module 2003, the confirmation prompting module 2003 being communicatively connected to the modification module 2002, wherein the confirmation prompting module 2003 is capable of forming a prompting message according to the modification strategy. The confirmation prompt module 2003 is also communicatively coupled to the execution module 3001 to enable the execution module 3001 to execute the prompt.
The splitting module 3002 can then automatically split the execution result into multiple pieces. Specifically, the number of splits by the split module 3002 is implemented as the number of users associated with the association benchmark.
The output module 3003 is configured to automatically feed back the prompt to the user associated with the association reference.
The feedback unit 400 is arranged to be communicatively connected to the modification module 2002 and the feedback unit 400 to enable, after the alert signal is formed, the formation of a confirmation signal in response to a feedback action of the user and whether the modification is determined.
The modification module 2002 determines whether to form the modification policy based on the acknowledgement signal. It will be appreciated that each user may confirm whether modification is required upon receipt of the alert message.
It should be noted that the management unit 200 includes a judging module 2004 and a recommending module 2005, wherein the judging module 2004 is communicatively connected to the collecting unit 100, and the judging module 2004 is configured to automatically obtain the data collected by the collecting unit 100 and judge the defined association of each user input port according to a judging standard.
In particular, the determination criteria of the determination module 2004 may be implemented as custom industries, custom functions, etc., as the application is not limited in this regard.
The recommendation module 2005 is configured to form at least one recommendation policy according to the determination result formed by the determination module 2004 and a preset recommendation criterion. The recommendation criteria is implemented as the acceptance of the previously entered data currently entered by the user. And the receiving degree of the past data input by the user can be determined by the number of times the past data input by the user is downloaded or the number of times the past data is referenced.
The recommending module 2005 is configured to recommend the data input by the user having the highest acceptance and the highest relevance to the current user, so that the current user can reference the data input by other users, and thereby obtain elicitations from the data input by other users. The output unit 300 is capable of outputting the recommended policy.
In one exemplary configuration of the computer apparatus of the present application, the terminal, the device of the service network, and the trusted party each include one or more processors (CPUs), input/output interfaces, network interfaces, and memory. The memory may include volatile memory in a storage medium, random Access Memory (RAM) and/or nonvolatile memory, such as Read Only Memory (ROM) or flash RAM. Memory is an example of a storage medium. Storage media, including both permanent and non-permanent, removable and non-removable media, may be implemented in any method or technology for storage of information. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Storage media, as defined herein, does not include non-transitory computer readable media (transmission media), such as modulated data signals and carrier waves.
The storage medium has instructions stored therein, wherein the instructions stored in the readable storage medium perform a method of collaborative operation, wherein the method of collaborative operation comprises the steps of:
s1, performing S1; collecting all information data input based on the collaborative system;
s2, performing S2; associating the input information data based on an association criterion;
s3, performing S3; acquiring all data input by users under the same association standard, and automatically generating a modification strategy for combining the data input by the users under the same association standard according to a preset modification standard when the coincidence degree of the data associated with the association standard is the lowest, wherein the modification standard is implemented as the coincidence degree of the data input by the users; and
s4, performing S4; and executing the modification strategy to correspondingly output a modified result so as to output the output result to all users associated with the association standard.
It will be appreciated by persons skilled in the art that the embodiments of the application described above and shown in the drawings are by way of example only and are not limiting. The advantages of the present application have been fully and effectively realized. The functional and structural principles of the present application have been shown and described in the examples and embodiments of the application may be modified or practiced without departing from the principles described.
Claims (7)
1. A co-operating system, wherein the co-operating system comprises:
the acquisition unit is used for acquiring all information data input based on the collaborative work system;
a management unit, wherein the management unit comprises an analysis module and a modification module, wherein the analysis module is arranged to be communicatively connected to the acquisition unit to correlate the input information data according to a preset correlation criterion, the modification module is arranged to be communicatively connected to the analysis module and is capable of acquiring data input by all users under the same correlation criterion from the analysis module, and when the coincidence ratio of the data correlated with the correlation criterion is the lowest, the modification module automatically forms a modification strategy for merging the data input by all users under the same correlation criterion according to a preset modification criterion, wherein the modification criterion is implemented as the coincidence ratio of the data input by the users;
an output unit, wherein the output unit is capable of executing the modification policy to correspondingly output a modified result, so as to output the output result to all users associated with the association reference;
the output unit comprises an execution module, a splitting module and an output module, wherein the execution module is arranged to execute the modification strategy formed by the modification module to form a display signal, the splitting module is arranged to copy the display signal formed by the execution module, and the output module is arranged to split the display signal according to the number of the users associated with the association standard, so that a plurality of users can obtain the same result at the same time;
the management unit comprises a judging module and a recommending module, wherein the judging module is communicably connected with the collecting unit, the judging module is configured to automatically acquire data collected by the collecting unit and judge the defined relevance of each user input port according to a judging standard, the recommending module is configured to form at least one recommending strategy according to a judging result formed by the judging module and a preset recommending standard, and the output unit can output the recommending strategy.
2. The collaborative system of claim 1, wherein the collaborative system comprises a feedback unit, wherein the management unit comprises a confirmation hint module communicatively coupled to the modification module, wherein the confirmation hint module is configured to form a hint information according to the modification policy, the confirmation hint module is communicatively coupled to the execution module to enable the execution module to execute the hint information, wherein the feedback unit is configured to communicatively couple the modification module and the feedback unit to form a confirmation signal responsive to a feedback action of a user to determine whether to modify after forming the hint information.
3. The collaborative system of claim 1, wherein the splitting module is capable of automatically implementing a number of execution result splits as the number of users associated with the association benchmark.
4. The collaborative system of claim 1, wherein the recommendation criteria is implemented as a receptivity of the user-entered past data, wherein the receptivity of the user-entered past data is determined by a number of times the user-entered past data is downloaded or referenced.
5. A method of co-operating using the co-operating system of any one of claims 1-4, wherein the method of co-operating comprises the steps of: collecting all information data input based on the collaborative system; associating the input information data based on an association criterion; acquiring all data input by users under the same association standard, and automatically generating a modification strategy for combining the data input by the users under the same association standard according to a preset modification standard when the coincidence degree of the data associated with the association standard is the lowest, wherein the modification standard is implemented as the coincidence degree of the data input by the users; and executing the modification strategy to correspondingly output a modified result so as to output the output result to all users associated with the association reference; judging the relevance between the definitions of each user input port according to a judging standard; forming at least one recommendation strategy according to the formed judgment result and a preset recommendation standard; and executing the recommendation policy.
6. A storage medium having instructions stored therein, wherein the instructions stored in the storage medium perform the method of co-operating of claim 5.
7. A computer device, wherein the computer device comprises the storage medium of claim 6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110260046.7A CN112990865B (en) | 2021-03-10 | 2021-03-10 | Collaborative work system, collaborative work method, storage medium and computer device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110260046.7A CN112990865B (en) | 2021-03-10 | 2021-03-10 | Collaborative work system, collaborative work method, storage medium and computer device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112990865A CN112990865A (en) | 2021-06-18 |
| CN112990865B true CN112990865B (en) | 2023-10-31 |
Family
ID=76336321
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110260046.7A Active CN112990865B (en) | 2021-03-10 | 2021-03-10 | Collaborative work system, collaborative work method, storage medium and computer device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112990865B (en) |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102325169A (en) * | 2011-08-22 | 2012-01-18 | 盛乐信息技术（上海）有限公司 | Network file system supporting sharing and cooperation and method thereof |
| CN103023961A (en) * | 2011-10-05 | 2013-04-03 | 微软公司 | Workspace collaboration via a wall-type computing device |
| CN104573884A (en) * | 2013-10-12 | 2015-04-29 | 北京航天长峰科技工业集团有限公司 | One-stop type cooperation working platform for investigating and handling cases |
| CN104933088A (en) * | 2015-05-13 | 2015-09-23 | 深圳市中幼国际教育科技有限公司 | Remote editing method and system |
| CN105183645A (en) * | 2015-08-26 | 2015-12-23 | 中国电子科技集团公司第十四研究所 | Reuse based design and implementation method for radar software testing |
| CN106470344A (en) * | 2015-08-20 | 2017-03-01 | 阿里巴巴集团控股有限公司 | The method for recording server of TV programme |
| CN107633381A (en) * | 2011-10-05 | 2018-01-26 | 微软技术许可有限责任公司 | Multi-user and the cooperation of more equipment |
| CN110084467A (en) * | 2019-03-13 | 2019-08-02 | 中国平安财产保险股份有限公司 | Mobile standard inspection method, apparatus, computer equipment and storage medium |
| CN110110228A (en) * | 2019-04-22 | 2019-08-09 | 南京工业大学 | Based on internet and the instant recommended method of the technical literature of bag of words intelligence and system |
| CN110502618A (en) * | 2018-05-16 | 2019-11-26 | 北京理工大学 | A kind of method for visualizing of document big data |
| CN111708773A (en) * | 2020-08-13 | 2020-09-25 | 江苏宝和数据股份有限公司 | Multi-source scientific and creative resource data fusion method |
-
2021
- 2021-03-10 CN CN202110260046.7A patent/CN112990865B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102325169A (en) * | 2011-08-22 | 2012-01-18 | 盛乐信息技术（上海）有限公司 | Network file system supporting sharing and cooperation and method thereof |
| CN103023961A (en) * | 2011-10-05 | 2013-04-03 | 微软公司 | Workspace collaboration via a wall-type computing device |
| CN107633381A (en) * | 2011-10-05 | 2018-01-26 | 微软技术许可有限责任公司 | Multi-user and the cooperation of more equipment |
| CN104573884A (en) * | 2013-10-12 | 2015-04-29 | 北京航天长峰科技工业集团有限公司 | One-stop type cooperation working platform for investigating and handling cases |
| CN104933088A (en) * | 2015-05-13 | 2015-09-23 | 深圳市中幼国际教育科技有限公司 | Remote editing method and system |
| CN106470344A (en) * | 2015-08-20 | 2017-03-01 | 阿里巴巴集团控股有限公司 | The method for recording server of TV programme |
| CN105183645A (en) * | 2015-08-26 | 2015-12-23 | 中国电子科技集团公司第十四研究所 | Reuse based design and implementation method for radar software testing |
| CN110502618A (en) * | 2018-05-16 | 2019-11-26 | 北京理工大学 | A kind of method for visualizing of document big data |
| CN110084467A (en) * | 2019-03-13 | 2019-08-02 | 中国平安财产保险股份有限公司 | Mobile standard inspection method, apparatus, computer equipment and storage medium |
| CN110110228A (en) * | 2019-04-22 | 2019-08-09 | 南京工业大学 | Based on internet and the instant recommended method of the technical literature of bag of words intelligence and system |
| CN111708773A (en) * | 2020-08-13 | 2020-09-25 | 江苏宝和数据股份有限公司 | Multi-source scientific and creative resource data fusion method |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112990865A (en) | 2021-06-18 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111917878B (en) | Message processing method, device, equipment and storage medium | |
| CN109815416B (en) | Associated information pushing method and device, electronic equipment and storage medium | |
| CN111931189B (en) | API interface reuse risk detection method, device and API service system | |
| WO2019130265A1 (en) | Cognitive virtual agent based on a cloud platform and used in a help and interaction centre | |
| CN111435367A (en) | Knowledge graph construction method, system, equipment and storage medium | |
| CN110688560A (en) | Information recommendation method and device | |
| CN111489100A (en) | Order creating method, device, equipment and medium based on big data | |
| Elliot et al. | CEOs’ understanding of blockchain technology and its adoption in export-oriented companies in West Sweden: a survey | |
| WO2015025536A1 (en) | Information processing device, information processing program, recording medium, and information processing method | |
| CN112990865B (en) | Collaborative work system, collaborative work method, storage medium and computer device | |
| CN111476560A (en) | Resource management method and computer readable storage medium | |
| CN115470139A (en) | Interface testing method and related equipment | |
| CN115080827A (en) | Sensitive data processing method and device | |
| CN113641814A (en) | Intelligent robot communication system, method and device based on 5G message | |
| CN113077288A (en) | Message pushing method and device, computer equipment and computer readable storage medium | |
| CN110414186B (en) | Data asset segmentation verification method and device | |
| CN111429264A (en) | Combined account checking method and device for distributed system | |
| CN110968817A (en) | Page content detection method, device and system | |
| JP2012043047A (en) | Information processor and information processing program | |
| CN111930620B (en) | Application running environment data processing method and device | |
| CN112419037A (en) | Accounting data processing system under full-flow automatic visualization | |
| CN117217765A (en) | Service information display method and device | |
| Ojerinde et al. | Managing Human Induced Crisis with Big Data Infrastructure | |
| CN114399270A (en) | Method and device for processing collaboration task, electronic equipment and readable storage medium | |
| CN112419036A (en) | Accounting data processing system |
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 |