CN102592182A - Behavior recording system - Google Patents
Behavior recording system Download PDFInfo
- Publication number
- CN102592182A CN102592182A CN2011100089647A CN201110008964A CN102592182A CN 102592182 A CN102592182 A CN 102592182A CN 2011100089647 A CN2011100089647 A CN 2011100089647A CN 201110008964 A CN201110008964 A CN 201110008964A CN 102592182 A CN102592182 A CN 102592182A
- Authority
- CN
- China
- Prior art keywords
- data
- counted
- user
- behavior
- network service
- 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
- 238000009825 accumulation Methods 0.000 claims abstract description 45
- 230000003542 behavioural effect Effects 0.000 claims description 42
- 238000011156 evaluation Methods 0.000 claims description 41
- 230000010354 integration Effects 0.000 claims description 28
- 241001269238 Data Species 0.000 claims description 13
- 230000001960 triggered effect Effects 0.000 claims 1
- 238000010586 diagram Methods 0.000 description 9
- 238000000034 method Methods 0.000 description 7
- 230000008676 import Effects 0.000 description 3
- 230000008569 process Effects 0.000 description 2
- 230000008901 benefit Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 230000006855 networking Effects 0.000 description 1
- 230000007306 turnover Effects 0.000 description 1
Images
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The invention discloses a behavior recording system. A processing module is utilized for receiving an identity certificate and at least one behavior signal, when the processing module judges that the identity certificate corresponds to one user data in an integral database and judges that each behavior signal respectively corresponds to each network service content in a behavior database, and then point number corresponding to each network service content is obtained. A calculation module is used for accumulating the point number obtained by the processing module to the first accumulation point number in the user data corresponding to the identity certificate, at least one second accumulation point in the user data or the combination of the first accumulation point number and the second accumulation point.
Description
Technical field
The invention relates to a kind of behavior record system and behavior record method thereof; Particularly relevant for a kind of Knowledge Management System that is applicable to, utilize and count and behavior record system and behavior record method thereof that evaluation method comes recording user operation each item network service behavior.
Background technology
At present, most company all can utilize network storing system, stores the archive files of each employee's made of intra-company; But unified management archive files like this; And form in-company Knowledge Management System, and not only can information be done complete collection, classification and arrangement, effectively utilize in order to the employee; Also can effectively preserve the important archive files of company, when preventing labor turnover and cause the loss of archive files.Network storing system also can be used to collect knowledge content different files archives, becomes the platform of a Knowledge Sharing.
And general network storing system all is to be guiding to collect archive files purely, for the user's who uses network storing system operation behavior, not doing the whole and record of system, and the user is difficult to inspect the service recorder of oneself.In addition, the user also maybe be because after having shared own elaborate archive files, but do not encouraged and reduce the wish of upload file archives to network storing system.
Summary of the invention
Because above-mentioned prior art problems, a wherein purpose of the present invention is exactly that a kind of behavior record system is being provided, with the problem of the function that solves general networking stocking system no record user operation behavior.
According to the object of the invention, a kind of behavior record system is proposed, it comprises a behavior database, an integration data storehouse, a processing module and a computing module.The a plurality of behavioral datas of behavior database storage, each behavioral data defines a plurality of network service content respectively, and each network service content corresponding is counted.The integration data storehouse stores at least one user data, and each user data comprises a user's name, one first accumulation is counted and one second accumulation is counted.Processing module system receives an identity voucher and at least one behavior signal; If processing module judges that identity documents is corresponding to a user data user's name wherein; And, then obtain counting of corresponding each network service content if judge that each behavior signal corresponds respectively to each network service content.Computing module is counted what processing module was got, and first accumulation of the user data of accumulative total to corresponding identity documents is counted, second accumulation of other at least one user data is counted or its combination.
Wherein, The behavior record system also comprises a knowledge data base and an evaluation module; Knowledge data base stores at least one knowledge file, the corresponding Function of Evaluation key of each knowledge file, and each Function of Evaluation key link evaluation module; Click with after linking to evaluation module when the Function of Evaluation key provides a user, evaluation module provides the user to import a mark with the evaluation Knowledge file.
Wherein, a plurality of behavioral datas comprise an empirical value behavioral data, and the defined a plurality of network service content of empirical value behavioral data comprise inspects knowledge file, knowledge file is estimated and stored to knowledge file at knowledge data base.
Wherein, when each received behavior signal of processing module was each network service content of corresponding empirical value behavioral data, computing module was counted corresponding each network service content, during first accumulation of the user data of accumulative total to corresponding identity documents is counted.
Wherein, a plurality of behavioral datas comprise a prestige value behavioral data, and the defined a plurality of network clothes contents of this prestige value behavioral data comprise the knowledge file of foundation and the content of answer knowledge file is estimated by other user.
Wherein, when each received behavior signal of processing module was each network service content of corresponding prestige value behavioral data, computing module was counted each network service content of correspondence, during totally extremely wherein second of at least one user data accumulation is counted.
Wherein, the behavior record system also comprises a level data storehouse, and rating database comprises a level data, and level data comprises a plurality of grades, and the corresponding respectively experience of each grade is counted and a prestige is counted.
Wherein, The integration data storehouse links rating database via processing module; And each user data also comprises a honor grade; Count and second accumulation is counted when first accumulation of a user data wherein, when experience point and the prestige that corresponds respectively to a grade was wherein counted, then the honor grade of user data was corresponding grade.
Wherein, the integration data storehouse comprises an integration query interface, and the integration query interface is the identity documents that judges provided, and shows the subscriber data of corresponding this identity documents.
In sum, behavior record of the present invention system, it can have one or more following advantage:
This behavior register system is to utilize to give the archive files evaluation, and when the operational network behavior, can obtain to count the operation behavior of recording user in system.Not only let the user can inspect outside the service recorder of oneself, mode improves the wish that the user shares archive files more thus.
Description of drawings
Fig. 1 is the block diagram of the behavior record system of one embodiment of the invention;
Fig. 2 is the process flow diagram of the behavior record method of one embodiment of the invention;
Fig. 3 is the synoptic diagram of the behavior record system implementation example of one embodiment of the invention;
Fig. 4 is the synoptic diagram of the knowledge file of another embodiment of the present invention;
Fig. 5 is the synoptic diagram of the evaluation module of another embodiment of the present invention;
Fig. 6 is the synoptic diagram of the integration query interface of another embodiment of the present invention.
Among the figure: 1,4, the behavior record system;
11,41, behavior database;
12,42, the integration data storehouse;
13,43, processing module;
14,44, computing module;
15,45, knowledge data base;
16,46, evaluation module;
17,47, rating database;
2, the user;
3, computing machine;
S21-S25, step;
Embodiment
Fig. 1 is the block diagram of the behavior record system of one embodiment of the invention.Among the figure, behavior record system 1 comprises a behavior database 11, an integration data storehouse 12, a processing module 13, a computing module 14, a knowledge data base 15, an evaluation module 16 and a level data storehouse 17.Knowledge data base 15 link evaluation modules 16, integration data storehouse 12 link computing modules 14, behavior database 11, integration data storehouse 12, computing module 14, knowledge data base 15 and rating database 17 all link to processing module 13.
Among Fig. 1, behavior database 11 stores a plurality of behavioral datas, and each behavioral data defines a plurality of network service content respectively, and each network service content corresponding is counted.Integration data storehouse 12 stores at least one user data, and each user data comprises a user's name, one first accumulation is counted and one second accumulation is counted.Processing module 13 is from an outside identity voucher and at least one behavior signal of receiving; If processing module 13 judges that identity documents are corresponding to the user's name of a user data wherein; And, then obtain counting of corresponding each network service content if judge that each behavior signal corresponds respectively to each network service content.Computing module 14 is counted what processing module 13 obtained, and first accumulation of the user data of accumulative total to corresponding identity documents is counted, second accumulation of at least one user data is counted or its combination in addition.
In above-mentioned, knowledge data base 15 is used for storing at least one knowledge file, the corresponding Function of Evaluation key of each knowledge file, and each Function of Evaluation key links to evaluation module 16.Click with after being linked to evaluation module 16 when the Function of Evaluation key provides a user, 16 of evaluation modules can provide the user to import a mark with the evaluation Knowledge file.
In above-mentioned, a plurality of behavioral datas comprise an empirical value behavioral data, and the defined a plurality of network service content of empirical value behavioral data comprise inspects knowledge file, knowledge file is estimated and stored to knowledge file at knowledge data base.When each network service content of the received corresponding empirical value behavioral data of each behavior signal of processing module 13,14 of computing modules are with the counting of corresponding each network service content, during first accumulation of the user data of accumulative total to corresponding identity documents is counted.
In above-mentioned, a plurality of behavioral datas comprise a prestige value behavioral data, and the defined a plurality of network service content of prestige value behavioral data comprise the knowledge file of foundation and the content of answer knowledge file is estimated by other user.When each network service content of the received corresponding prestige value of each the behavior signal behavioral data of processing module 13,14 of computing modules are with the counting of corresponding each network service content, and are accumulated to during wherein second accumulation of at least one user data is counted.
In above-mentioned, rating database 17 comprises a level data, and level data comprises a plurality of grades, and the corresponding respectively experience of each grade is counted and a prestige is counted.And integration data storehouse 12 can link to rating database 17 via processing module 13, and each user data also comprises a honor grade.Count and second accumulation is counted when first accumulation of a user data wherein, when experience point and the prestige that corresponds respectively to a grade was wherein counted, then the honor grade of user data was corresponding grade.
In above-mentioned, integration data storehouse 12 comprises an integration query interface, and the integration query interface is the identity documents that judges provided, and shows the subscriber data of corresponding this identity documents.
As shown in Figure 2, it is the process flow diagram of the behavior record method of one embodiment of the invention.The steps include: S21: store a plurality of behavioral datas by behavior database, each behavioral data defines a plurality of network service content respectively, and each network service content is counted for corresponding one; S22: store at least one user data via the integration data storehouse, each user data comprises user's name, first accumulation is counted and second accumulation is counted; S23: receive an identity voucher and at least one behavior signal by processing module; S24: judge identity documents corresponding to the user's name of a user data wherein via processing module, and judge that each behavior signal corresponds respectively to each network service content, to obtain counting of corresponding each network service content; S25: count what processing module obtained via computing module, first accumulation that is accumulated to the user data of corresponding identity documents is counted, second accumulation of at least one user data is counted or its combination in addition.
As shown in Figure 3, it is the synoptic diagram of the behavior record system implementation example of one embodiment of the invention.Among the figure, computing machine 3 is connected with behavior record system 4, and behavior record system 4 comprises a behavior database 41, an integration data storehouse 42, a processing module 43, a computing module 44, a knowledge data base 45, an evaluation module 46 and a level data storehouse 47.
In the present embodiment; Behavior database 41 has stored a plurality of behavioral datas, and these a plurality of behavioral datas comprise empirical value behavioral data and prestige value behavioral data, and each behavioral data defines a plurality of network service content respectively; Each network service content corresponding one is counted, shown in table 1 and table 2.
Table 1
Table 2
In table 1, the defined network service content of empirical value behavioral data has comprised ' inspecting knowledge file ', ' knowledge file is estimated ' and ' storing knowledge file in knowledge data base ', and these a little network service content all corresponding separately one count.In table 2; The defined network service content of prestige value behavioral data has comprised ' the knowledge file acquisition evaluation of foundation; And to estimate greater than 2 ' and ' content of replying knowledge file obtains to estimate, and obtains to estimate greater than 3 ', these a little network service content are also all corresponding separately one count.
In the present embodiment; Integration data storehouse 42 is to be used for storing at least one user data; Each user data comprises a user's name, empirical value accumulation is counted and prestige value accumulation is counted; The accumulation of this empirical value is counted and is first accumulation of the present invention and counts, and the accumulation of prestige value is counted and is second accumulation of the present invention and counts, and is as shown in table 3.
Table 3
In the present embodiment, rating database 47 has comprised a level data, and level data comprises a plurality of grades, and the corresponding respectively experience of each grade is counted and a prestige is counted, and is as shown in table 4.
Table 4
Shown in table 3 and table 4, each user data has also comprised a honor grade in the table 3.This honor grade is to count and the accumulation of prestige value is counted when the accumulation of the empirical value of user data, and when experience point and the prestige that corresponds respectively to one of them grade was counted, then the honor grade of user data was corresponding grade.For example user's name is ' Wang Xiaoming ' in the user data; It is 84 that its empirical value accumulation is counted; It is 58 that the accumulation of prestige value is counted; Its no show table 4 middle grade of counting counts 100 for the experience point 100 and the prestige of ' Xiucai ', therefore, and the honor grade of user's title ' Wang Xiaoming ' corresponding ' inteilectual '.
In the present embodiment, knowledge data base 45 is to be used for storing at least one knowledge file, each knowledge file is an all corresponding Function of Evaluation key, and as shown in Figure 4, Fig. 4 is the pairing display interface of knowledge file, comprises its Function of Evaluation key in the display interface.This Function of Evaluation key can be linked to evaluation module 46, and evaluation module 46 provides an evaluation interface, and is to show a plurality of evaluation score, to make user's evaluation Knowledge file, as shown in Figure 5.
In the present embodiment, a user 2 provides in identity voucher to the computing machine 3, and the user's name that 43 of processing modules in the behavior record system 4 can begin the user data in 2 corresponding integration datas of judges storehouse 42 according to identity documents why.After processing module 43 had judged that user's name of user 2 correspondence is called ' Wang Xiaoming ', 2 of users can begin to import the various actions signal.When the behavior signal that processing module 43 judges 2 are imported ' is inspected knowledge file ' corresponding to a network service content in the empirical value behavioral data; What 43 of processing modules can obtain that correspondence ' inspects knowledge file ' counts ' 1 ', and during the empirical value accumulation that is added to user's title ' Wang Xiaoming ' of respective user 2 via computing module 44 counts.User 2 continues input behavior signal; And this behavior signal is to click the corresponding Function of Evaluation key of knowledge file to be linked to evaluation module 46; The knowledge file that user 2 chooses a mark ' 3 ' in the evaluation module 46 then, and user's name is called ' big male ' is set up is done scoring.When processing module 43 judge these behavior signals be a network service content in the corresponding empirical value behavioral data ' knowledge file is estimated ' and corresponding prestige value behavioral data in a network service content ' knowledge file of foundation obtains to estimate; And obtain to estimate greater than 2 '; What processing module 43 can obtain that correspondence ' estimates knowledge file ' counts ' 2 ', and during the empirical value accumulation that is added to user's title ' Wang Xiaoming ' of respective user 2 via computing module 44 counts.And processing module 43 can obtain correspondence ' knowledge file of foundation obtains to estimate, and obtain to estimate greater than 2 ' count ' 10 ', and be added to user's name for during the prestige value accumulation of ' big male ' counts via computing module 44.
In the present embodiment, integration data storehouse 42 also comprises an integration query interface, after the integration query interface makes user 2 that identity documents is provided, can inspect the user data of corresponding this identity documents, and is as shown in Figure 6.
Through behavior record system of the present invention and method thereof, not only let the user can inspect outside the service recorder of oneself, more can improve the wish that the user shares archive files via the mode of estimating and obtain to count.And company is when using this behavior register system, can be by the resulting height of counting of each employee, and the foundation that in company, shows as the employee.
But above-mentioned embodiment is exemplary, is to be the restriction that this patent is comprised scope in order better to make those skilled in the art can understand this patent, can not to be interpreted as; So long as according to spirit that this patent discloses done anyly be equal to change or modify, all fall into the scope that this patent comprises.
Claims (9)
1. behavior record system is characterized in that it comprises:
One behavior database stores a plurality of behavioral datas, and each said behavioral data defines a plurality of network service content respectively, and each said network service content corresponding one is counted;
One integration data storehouse stores at least one user data, and each said user data comprises a user's name, one first accumulation is counted and one second accumulation is counted;
One processing module; Receive an identity voucher and at least one behavior signal; If this processing module judges that said identity documents is corresponding to the said user's name of a said user data wherein; And correspond respectively to each said network service content if judge each said behavior signal, then obtain correspondence respectively the said of this network service content count; And
One computing module, with said the counting that said processing module obtains, said first accumulation of the said user data of accumulative total to corresponding said identity documents is counted, said second accumulation of at least one said user data is counted or its combination in addition.
2. behavior record according to claim 1 system; It is characterized in that: wherein said behavior record system also comprises a knowledge data base and an evaluation module; This knowledge data base stores at least one knowledge file, corresponding Function of Evaluation key of this knowledge file respectively, and respectively this Function of Evaluation key links said evaluation module; After said Function of Evaluation key was triggered, this evaluation module provided an evaluation interface to obtain a mark to estimate this knowledge file.
3. behavior record according to claim 2 system; It is characterized in that: wherein said a plurality of behavioral datas comprise an empirical value behavioral data; When the said network service content of each of the corresponding said empirical value behavioral data of the said behavior signal of received each of said processing module; Said computing module is counted corresponding the said of each said network service content, and accumulative total is in count to said first accumulation of said user data that should identity documents.
4. behavior record according to claim 3 system is characterized in that: the defined said a plurality of network service content of wherein said empirical value behavioral data comprise inspects said knowledge file, said knowledge file is estimated and stored to said knowledge file at said knowledge data base.
5. behavior record according to claim 2 system; It is characterized in that: wherein said a plurality of behavioral datas comprise a prestige value behavioral data; When received each said behavior signal of said processing module during to each said network service content that should prestige value behavioral data; Said computing module is counted corresponding the said of each said network service content, during totally extremely wherein said second accumulation of at least one said user data is counted.
6. behavior record according to claim 5 system is characterized in that: the content that the defined a plurality of networks clothes contents of wherein said prestige value behavioral data comprise the said knowledge file of foundation and reply said knowledge file is estimated by other said user.
7. behavior record according to claim 1 system; It is characterized in that: wherein said behavior record system also comprises a level data storehouse; This level data storehouse comprises a level data, and this level data comprises a plurality of grades, and respectively the corresponding respectively experience of this grade is counted and a prestige is counted.
8. behavior record according to claim 7 system; It is characterized in that: wherein said integration data storehouse links said rating database via said processing module; And each said user data also comprises a honor grade; Count and second accumulation is counted when said first accumulation of a said user data wherein, when said experience point and the said prestige that corresponds respectively to a said grade is wherein counted, the corresponding said grade of the said honor grade of said user data then.
9. behavior record according to claim 1 system; It is characterized in that: wherein said integration data storehouse comprises an integration query interface; This integration query interface is judged the said identity documents that a user provides, and shows said subscriber data that should identity documents.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011100089647A CN102592182A (en) | 2011-01-17 | 2011-01-17 | Behavior recording system |
| TW100109471A TWI463422B (en) | 2011-01-17 | 2011-03-18 | Action recording system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011100089647A CN102592182A (en) | 2011-01-17 | 2011-01-17 | Behavior recording system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN102592182A true CN102592182A (en) | 2012-07-18 |
Family
ID=46480788
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2011100089647A Pending CN102592182A (en) | 2011-01-17 | 2011-01-17 | Behavior recording system |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN102592182A (en) |
| TW (1) | TWI463422B (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105447376A (en) * | 2015-10-30 | 2016-03-30 | 广州市汇助惠电子商务有限公司 | User management system |
| CN106446137A (en) * | 2016-09-20 | 2017-02-22 | 深圳市悦动天下科技有限公司 | Internet-of-Things based level display method and system |
| CN108460545A (en) * | 2018-04-12 | 2018-08-28 | 万翼科技有限公司 | Construction quality evaluation method, device and the storage medium of engineering construction person |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1392992A (en) * | 2000-08-01 | 2003-01-22 | 国誉株式会社 | System and method for project management |
| CN1477569A (en) * | 2002-08-19 | 2004-02-25 | 意蓝科技股份有限公司 | System and method for dynamically recording user behavior |
| CN101197023A (en) * | 2007-11-19 | 2008-06-11 | 清华大学 | A method for establishing a visual document management system for small and medium-sized enterprises |
| CN101217392A (en) * | 2007-12-27 | 2008-07-09 | 华为技术有限公司 | Behavior collection and analysis method and system |
| CN101441657A (en) * | 2008-12-31 | 2009-05-27 | 阿里巴巴集团控股有限公司 | Caller intent recognition system and method and caller intent recognition platform |
Family Cites Families (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6895385B1 (en) * | 2000-06-02 | 2005-05-17 | Open Ratings | Method and system for ascribing a reputation to an entity as a rater of other entities |
| US20020133365A1 (en) * | 2001-03-19 | 2002-09-19 | William Grey | System and method for aggregating reputational information |
| US7822631B1 (en) * | 2003-08-22 | 2010-10-26 | Amazon Technologies, Inc. | Assessing content based on assessed trust in users |
| US7805518B1 (en) * | 2003-11-14 | 2010-09-28 | The Board Of Trustees Of The Leland Stanford Junior University | Method and system for reputation management in peer-to-peer networks |
| US7778878B2 (en) * | 2003-12-31 | 2010-08-17 | Amazon Technologies, Inc. | Profiling item sellers to inform item purchasing decisions and build trust in a multiple-seller marketplace |
| US8010459B2 (en) * | 2004-01-21 | 2011-08-30 | Google Inc. | Methods and systems for rating associated members in a social network |
| US20090106697A1 (en) * | 2006-05-05 | 2009-04-23 | Miles Ward | Systems and methods for consumer-generated media reputation management |
| CN101009019A (en) * | 2007-01-15 | 2007-08-01 | 浪潮集团有限公司 | Knowledge evaluation method of two-dimensional comprehensive knowledge management system |
| CN101201915A (en) * | 2007-12-13 | 2008-06-18 | 浪潮通信信息系统有限公司 | Method for implementing specialist estimation system in two-dimension compositive KMS |
| US20090216608A1 (en) * | 2008-02-22 | 2009-08-27 | Accenture Global Services Gmbh | Collaborative review system |
| US20100042928A1 (en) * | 2008-08-12 | 2010-02-18 | Peter Rinearson | Systems and methods for calculating and presenting a user-contributor rating index |
| US8170979B2 (en) * | 2008-08-12 | 2012-05-01 | Intersect Ptp, Inc. | Systems and methods for calibrating user ratings |
| US8943211B2 (en) * | 2009-07-02 | 2015-01-27 | Microsoft Corporation | Reputation mashup |
| CN102024207A (en) * | 2010-12-21 | 2011-04-20 | 广东电网公司佛山供电局 | Knowledge management system seamlessly combined with office software |
-
2011
- 2011-01-17 CN CN2011100089647A patent/CN102592182A/en active Pending
- 2011-03-18 TW TW100109471A patent/TWI463422B/en active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1392992A (en) * | 2000-08-01 | 2003-01-22 | 国誉株式会社 | System and method for project management |
| CN1477569A (en) * | 2002-08-19 | 2004-02-25 | 意蓝科技股份有限公司 | System and method for dynamically recording user behavior |
| CN101197023A (en) * | 2007-11-19 | 2008-06-11 | 清华大学 | A method for establishing a visual document management system for small and medium-sized enterprises |
| CN101217392A (en) * | 2007-12-27 | 2008-07-09 | 华为技术有限公司 | Behavior collection and analysis method and system |
| CN101441657A (en) * | 2008-12-31 | 2009-05-27 | 阿里巴巴集团控股有限公司 | Caller intent recognition system and method and caller intent recognition platform |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105447376A (en) * | 2015-10-30 | 2016-03-30 | 广州市汇助惠电子商务有限公司 | User management system |
| CN105447376B (en) * | 2015-10-30 | 2018-08-03 | 广州市汇助惠电子商务有限公司 | User management system |
| CN106446137A (en) * | 2016-09-20 | 2017-02-22 | 深圳市悦动天下科技有限公司 | Internet-of-Things based level display method and system |
| CN108460545A (en) * | 2018-04-12 | 2018-08-28 | 万翼科技有限公司 | Construction quality evaluation method, device and the storage medium of engineering construction person |
Also Published As
| Publication number | Publication date |
|---|---|
| TW201232448A (en) | 2012-08-01 |
| TWI463422B (en) | 2014-12-01 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US20200012654A1 (en) | System and methods for generating optimal post times for social networking sites | |
| US20120284397A1 (en) | Method and device for pushing data | |
| CN103176982B (en) | The method and system that a kind of e-book is recommended | |
| CN105528367B (en) | Storage and near real-time query method for time-sensitive data based on open source big data | |
| CN103345521B (en) | A kind of method and apparatus processing key assignments in Hash table database | |
| CN205139933U (en) | Online collection system of two -dimensional code | |
| WO2016054908A1 (en) | Internet of things big data platform-based intelligent user profiling method and apparatus | |
| Saikia et al. | Land-use/land-cover change and fragmentation in the Nameri Tiger Reserve, India | |
| CN102110098B (en) | Network information recommending method and system | |
| CN102375813A (en) | Duplicate detection system and method for search engines | |
| CN102750334A (en) | Agricultural information accurate propelling method based on data mining (DM) | |
| CN102402594A (en) | Rich media personalized recommendation method | |
| CN104933191A (en) | A method, system and terminal for identifying spam comments based on Bayesian algorithm | |
| CN110019996A (en) | A kind of family relationship recognition methods and system | |
| CN107481058A (en) | A kind of Products Show method and Products Show device | |
| CN103970747A (en) | Data processing method for network side computer to order search results | |
| CN103336771A (en) | Data similarity detection method based on sliding window | |
| CN107766470B (en) | Intelligent statistical method, intelligent statistical display method and device for data sharing | |
| CN112749167A (en) | Method and device for determining broken link data and nonvolatile storage medium | |
| CN102592182A (en) | Behavior recording system | |
| CN108629013B (en) | Method and system of enterprise data collection and presentation based on blockchain | |
| US10318594B2 (en) | System and method for enabling related searches for live events in data streams | |
| CN103455483B (en) | The collection processing method and system of search in Website data | |
| CN103389981A (en) | Network label automatic identification method and system thereof | |
| CN104424236B (en) | Storage method and device in data acquisition |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C02 | Deemed withdrawal of patent application after publication (patent law 2001) | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20120718 |