CN109784671A - A kind of user experience quality appraisal procedure and system based on user behavior analysis - Google Patents
A kind of user experience quality appraisal procedure and system based on user behavior analysis Download PDFInfo
- Publication number
- CN109784671A CN109784671A CN201811584861.3A CN201811584861A CN109784671A CN 109784671 A CN109784671 A CN 109784671A CN 201811584861 A CN201811584861 A CN 201811584861A CN 109784671 A CN109784671 A CN 109784671A
- Authority
- CN
- China
- Prior art keywords
- user
- index
- consuming
- time
- experience quality
- 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
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The present invention relates to a kind of user experience quality appraisal procedure and system based on user behavior analysis, belong to user experience quality evaluation areas, solve the problems, such as that user experience quality is strong to user's subjective assessment dependence in the prior art, experience feedback cycle is long.Steps are as follows: the user behavior data in capturing service system: the continuous log duration of user, user request error rate time-consuming, that system response is time-consuming, page jump is time-consuming, dns lookup is time-consuming, process flow operation is time-consuming, user's operation generates；Collected data are normalized, the user behavior data after being normalized；User behavior data after normalized is input to user experience quality assessment models, comprehensive score is carried out to the user behavior data after normalized using user experience quality assessment models, obtains assessment result.The normal process for establishing standardization realizes effective assessment of user experience quality, can provide effective foundation for pointedly proposition recommendation on improvement.
Description
Technical field
The present invention relates to user experience quality assessment technology field more particularly to a kind of users based on user behavior analysis
Quality of experience appraisal procedure and system.
Background technique
In the use process of operation system, user experience quality can embody practical impression of the user to operation system,
Access behavior of the user to operation system is influenced simultaneously.User experience quality is obtained in time, is conducive to find operation system in time
Existing defect is convenient for the effect of proposing improvement project, promoting operation system, preferably promotion user experience, and adapting to user need to
It asks.
In the prior art, user is obtained for used operation system by modes such as questionnaire survey, return visit users
Impression.This undoubtedly brings interference to user；Meanwhile this mode for requiring user's scoring every time is also vulnerable to user's fitness
It influences, it is larger to obtain difficulty；In addition, the period that this mode obtains user feedback is longer, operation system can not be lacked in time
Point improves.
Summary of the invention
In view of above-mentioned analysis, the present invention is intended to provide a kind of user experience quality assessment side based on user behavior analysis
Method and system, experience that dependence is strong, user experience feedback cycle is long solving existing user experience quality to user itself
Problem.
The purpose of the present invention is mainly achieved through the following technical solutions:
A kind of user experience quality appraisal procedure based on user behavior analysis, steps are as follows:
User behavior data in capturing service system: the continuous log duration of user, user request time-consuming, system response consumption
When, the error rate that page jump is time-consuming, dns lookup is time-consuming, process flow operation is time-consuming, user's operation generates；
Collected data are normalized, the user behavior data after being normalized；
User behavior data after normalized is input to user experience quality assessment models, utilizes the user's body
It tests Evaluation Model on Quality and comprehensive score is carried out to the user behavior data after the normalized, obtain assessment result.
The present invention has the beneficial effect that: the user experience quality assessment side provided in this embodiment based on user behavior analysis
Method using the associated user's behavioral data being related in operation system and is analyzed it by obtaining user, obtains user
Quality of experience assessment result establishes the normal process of standardization, realizes to business application system application effect and user experience
Effective assessment of quality, pointedly to propose that recommendation on improvement provides effective foundation；Meanwhile the user behavior data of acquisition
It is bottom objective data relevant to user behavior, the subjective assessment than different user has more convincingness, more general.
On the basis of above scheme, the present invention has also done following improvement:
Further, the user experience quality assessment models are established in the following manner:
Step S1: being analyzed by target of user experience quality, selects three one for calculating user experience quality
Grade index, comprising: user logs in the wrong index that index, user's operation index, user's operation generate；
Step S2: it according to the influence factor of three first class index, respectively obtains the corresponding second level of each first class index and refers to
Mark: where it includes: user's log duration that the user, which logs in the corresponding two-level index of index,；
The corresponding two-level index of the user's operation index includes: that user requests that time-consuming, system response is time-consuming, page jump
Time-consuming, dns lookup time-consuming, process flow operation are time-consuming；
The corresponding two-level index of wrong index that the user's operation generates includes: error number, the mistake that user's operation generates
Accidentally type and error rate；
Step S3: it according to the correlation between first class index and corresponding two-level index, is established using analytic hierarchy process (AHP)
Recursive hierarchy structure, and according to the importance of each index, corresponding weight is distributed for it.
Beneficial effect using above-mentioned further scheme is: crossing the influence user experience in analysis operation system use process
The factor of quality pointedly proposes corresponding first class index, two-level index, and according to the importance of each index, for its point
With corresponding weight, more reasonable user experience quality assessment result is obtained.
Further, it is in the following manner the corresponding weight of each Distribution Indexes:
Three first class index are compared two-by-two, by the corresponding multiple two-level index of the user's operation index into
Row compares two-by-two, is compared the corresponding multiple two-level index of wrong index that the user's operation generates two-by-two, according to nine
Grade proportion quotiety be ranked each evaluation index relative superior or inferior sequence, successively construct the judgment matrixs at different levels of evaluation index；
Consistency check is carried out to the judgment matrixs at different levels to verify if the judgment matrix at different levels meets consistency
The reasonability of model；Otherwise the judgment matrix is adjusted；
The maximal eigenvector is normalized in the maximal eigenvector of judgment matrix, obtains each index
Weight.
Further, it is described according to nine grades of proportion quotieties be ranked each evaluation index relative superior or inferior sequence principle it is as follows:
Scale 1: it indicates that two indices are compared, has same importance；Scale 3: indicating that two indices are compared, the former compares
The latter is slightly important；Scale 5: indicate that two indices are compared, the former is more obvious than the latter important；Scale 7: two indices phase is indicated
Than the former is stronger than the latter important；Scale 9: indicate that two indices are compared, the former is more extremely important than the latter；Scale 2,4,6,8:
Indicate the median of above-mentioned adjacent judgement；It is reciprocal: if index i is bij, comparison result of the index j to i to the comparison result of j
For bij=1/bij.
Further, detailed process is as follows for the test and judge matrix consistency:
Calculate the coincident indicator CI of judgment matrix:
Wherein, λmaxFor the maximum eigenvalue of judgment matrix, n is the order of judgment matrix；
Corresponding index value when order is n is searched in the numerical tabular of Aver-age Random Consistency Index RI；
Calculate consistency ration CR:
As CR < 0.1, it is believed that judgment matrix meets coherence request, otherwise, is modified to judgment matrix.
Further, the user behavior data is acquired by way of probe is installed to operation system, or from third party's class
The user behavior data is acquired in library or application log program.
Further, described that collected data are normalized, the user behavior data after being normalized, tool
Body the following steps are included:
To collected user behavior data, corresponding data target is established respectively, by collected user behavior data
It is compared with corresponding data target, obtains the hundred-mark system score of presently described user behavior data.
Beneficial effect using above-mentioned further scheme is: by the way that data are normalized, eliminating between index
Different dimensions influence so that having comparativity between different data.Collected data after data normalization is handled,
Each index is in the same order of magnitude, so that can be integrated into the data of user experience quality model according to same standard
Comparative evaluation.
Further, the output result of the user experience quality assessment models includes: user experience quality score；Score is low
In the first class index or two-level index title and phase reserved portion of corresponding reference value.
The user experience quality assessment system based on user behavior analysis that the present invention also provides a kind of, the system comprises
User behavior data acquisition module, data normalization processing module, user experience quality evaluation module,
Wherein, the user behavior data acquisition module, for the user behavior data in capturing service system: Yong Hulian
Continuous log duration, user request time-consuming, system to respond, and time-consuming, page jump is time-consuming, dns lookup is time-consuming, process flow operation is time-consuming, use
The error rate that family operation generates；
The data normalization processing module, the data for exporting to the user behavior data acquisition module are returned
One change processing, the user behavior data after being normalized；
User experience quality assessment models are stored in the user experience quality evaluation module, are used for the normalization
User behavior data afterwards is input to user experience quality assessment models, using the user experience quality assessment models to described
User behavior data after normalized carries out comprehensive score, obtains assessment result.
On the basis of above scheme, the present invention has also done following improvement:
Further, the user experience quality assessment models include:
Target item: user experience quality score；
First class index item: user logs in the wrong index that index, user's operation index, user's operation generate；
Two-level index item:
It includes: user's log duration that the user, which logs in the corresponding two-level index of index,；
The corresponding two-level index of the user's operation index includes: that user requests that time-consuming, system response is time-consuming, page jump
Time-consuming, dns lookup time-consuming, process flow operation are time-consuming；
The corresponding two-level index of wrong index that the user's operation generates includes: error number, the mistake that user's operation generates
Accidentally type and error rate.
It in the present invention, can also be combined with each other between above-mentioned each technical solution, to realize more preferred assembled schemes.This
Other feature and advantage of invention will illustrate in the following description, also, certain advantages can become from specification it is aobvious and
It is clear to, or understand through the implementation of the invention.The objectives and other advantages of the invention can by specification, claims with
And it is achieved and obtained in specifically noted content in attached drawing.
Detailed description of the invention
Attached drawing is only used for showing the purpose of specific embodiment, and is not to be construed as limiting the invention, in entire attached drawing
In, identical reference symbol indicates identical component.
Fig. 1 is the user experience quality appraisal procedure flow chart based on user behavior analysis in the embodiment of the present invention；
Fig. 2 is the user experience quality system schematic based on user behavior analysis in the embodiment of the present invention.
Specific embodiment
Specifically describing the preferred embodiment of the present invention with reference to the accompanying drawing, wherein attached drawing constitutes the application a part, and
Together with embodiments of the present invention for illustrating the principle of the present invention, it is not intended to limit the scope of the present invention.
A specific embodiment of the invention discloses a kind of user experience quality assessment side based on user behavior analysis
Method, as shown in Figure 1, steps are as follows:
Step S1: the user behavior data in capturing service system: the continuous log duration of user, user request time-consuming, are
The error rate that system response is time-consuming, page jump is time-consuming, dns lookup is time-consuming, process flow operation is time-consuming, user's operation generates；
Step S2: being normalized collected data, the user behavior data after being normalized；
Step S3: the user behavior data after normalized is input to user experience quality assessment models, utilizes institute
It states user experience quality assessment models and comprehensive score is carried out to the user behavior data after the normalized, obtain assessment knot
Fruit.
Compared with prior art, the user experience quality appraisal procedure provided in this embodiment based on user behavior analysis,
It using the associated user's behavioral data being related in operation system and is analyzed it by obtaining user, obtains user experience
Quality assessment result establishes the normal process of standardization, realizes to business application system application effect and user experience quality
Effective assessment of quality, pointedly to propose that recommendation on improvement provides effective foundation；Meanwhile the user behavior data of acquisition is
Bottom objective data relevant to user behavior, the subjective assessment than different user have more convincingness, more general.
Preferably, the user behavior data is acquired by way of probe is installed to operation system, or from third party's class
The user behavior data is acquired in library or application log program.
Preferably, described that collected data are normalized, the user behavior data after being normalized, tool
Body the following steps are included:
To collected user behavior data, corresponding data target is established respectively, by collected user behavior data
It is compared with corresponding data target, obtains the hundred-mark system score of presently described user behavior data.
The present invention is by the way that following example give the detailed processes of data normalization:
The corresponding data target of the continuous log duration of user is as follows: < 1h (0-30 points)；1-3h (30-60 points)；3-7.5h
(60-80 points)；> 7.5h (80-100 points).
The corresponding data target of error rate calculation is as follows: the number of request * 100% of user's false request number/total (multiplied by
100 obtain corresponding score)；
It is as follows that system responds the time-consuming corresponding data target of time-consuming/page jump: 0-3s satisfied (90-100 points)；3-6s holds
Bear (60-80 points)；> 6s disappointed (0-60 points)；
The time-consuming corresponding ginseng data target of dns lookup is as follows: 10-50ms standard (80-100 points)；50-120ms(60-80
Point)；> 120ms (0-60 points)
The time-consuming corresponding data target of process flow operation is as follows: 0-2s (90-100 points)；2-5s (60-80 points)；>5s(0-60
Point).
By the way that data are normalized, eliminate the influence of the different dimensions between index so that different data it
Between have comparativity.For collected data after data normalization is handled, each index is in the same order of magnitude, uses so that entering
The data of family Quality of experience model can carry out Comprehensive Correlation evaluation according to same standard.
Preferably, the user experience quality assessment models are established in the following manner:
Step S31: being analyzed by target of user experience quality, selects three one for calculating user experience quality
Grade index, comprising: user logs in the wrong index that index, user's operation index, user's operation generate；
Step S32: it according to the influence factor of three first class index, respectively obtains the corresponding second level of each first class index and refers to
Mark: where it includes: user's log duration that the user, which logs in the corresponding two-level index of index,；
The corresponding two-level index of the user's operation index includes: that user requests that time-consuming, system response is time-consuming, page jump
Time-consuming, dns lookup time-consuming, process flow operation are time-consuming；
The corresponding two-level index of wrong index that the user's operation generates includes: error number, the mistake that user's operation generates
Accidentally type and error rate；
Step S33: it according to the correlation between first class index and corresponding two-level index, is established using analytic hierarchy process (AHP)
Recursive hierarchy structure, and according to the importance of each index, corresponding weight is distributed for it.
By the factor of the influence user experience quality in analysis operation system use process, pointedly propose corresponding
First class index, two-level index distributes corresponding weight for it, obtains more reasonable use and according to the importance of each index
Family Quality of experience assessment result.
Preferably, it is in the following manner the corresponding weight of each Distribution Indexes:
Three first class index are compared two-by-two, by the corresponding multiple two-level index of the user's operation index into
Row compares two-by-two, is compared the corresponding multiple two-level index of wrong index that the user's operation generates two-by-two, according to nine
Grade proportion quotiety be ranked each evaluation index relative superior or inferior sequence, successively construct the judgment matrixs at different levels of evaluation index；
Consistency check is carried out to the judgment matrixs at different levels to verify if the judgment matrix at different levels meets consistency
The reasonability of model；Otherwise the judgment matrix is adjusted；
The maximal eigenvector is normalized in the maximal eigenvector of judgment matrix, obtains each index
Weight.
Preferably, it is described according to nine grades of proportion quotieties be ranked each evaluation index relative superior or inferior sequence principle it is as follows:
Scale 1: it indicates that two indices are compared, has same importance；Scale 3: indicating that two indices are compared, the former compares
The latter is slightly important；Scale 5: indicate that two indices are compared, the former is more obvious than the latter important；Scale 7: two indices phase is indicated
Than the former is stronger than the latter important；Scale 9: indicate that two indices are compared, the former is more extremely important than the latter；Scale 2,4,6,8:
Indicate the median of above-mentioned adjacent judgement；It is reciprocal: if index i is bij, comparison result of the index j to i to the comparison result of j
For bij=1/bij.
Preferably, detailed process is as follows for the test and judge matrix consistency:
Calculate the coincident indicator CI of judgment matrix:
Wherein, λmaxFor the maximum eigenvalue of judgment matrix, n is the ranks numerical value of judgment matrix；
Corresponding index value when order is n is searched in the numerical tabular of Aver-age Random Consistency Index RI；
Calculate consistency ration CR:
As CR < 0.1, it is believed that judgment matrix meets coherence request, otherwise, is modified to judgment matrix.
Preferably, the output result of user experience quality assessment models includes: user experience quality score；Score is lower than phase
Answer the first class index or two-level index title and phase reserved portion of reference value.
Pass through user experience quality score, the first class index lower than corresponding reference value or the two-level index title that output is whole
And phase reserved portion, convenient for technical staff according to this as a result, targetedly optimizing scheme to operation system proposition.
In another embodiment of the invention, a kind of user experience quality assessment system based on user behavior analysis is disclosed
System, as shown in Fig. 2, the system comprises user behavior data acquisition modules, data normalization processing module, user experience quality
Evaluation module, wherein
The user behavior data acquisition module, for the user behavior data in capturing service system: user continuously steps on
Record duration, user requests time-consuming, system response is time-consuming, page jump is time-consuming, dns lookup is time-consuming, process flow operation time-consuming, Yong Hucao
Make the error rate generated；
The data normalization processing module, the data for exporting to the user behavior data acquisition module are returned
One change processing, the user behavior data after being normalized；
User experience quality assessment models are stored in the user experience quality evaluation module, are used for the normalization
User behavior data afterwards is input to user experience quality assessment models, using the user experience quality assessment models to described
User behavior data after normalized carries out comprehensive score, obtains assessment result.
Preferably, the user experience quality assessment models include:
Target item: user experience quality score；
First class index item: user logs in the wrong index that index, user's operation index, user's operation generate；
Two-level index item: it includes: user's log duration that the user, which logs in the corresponding two-level index of index,；
The corresponding two-level index of the user's operation index includes: that user requests that time-consuming, system response is time-consuming, page jump
Time-consuming, dns lookup time-consuming, process flow operation are time-consuming；
The corresponding two-level index of wrong index that the user's operation generates includes: error number, the mistake that user's operation generates
Accidentally type and error rate.
Above method embodiment and system embodiment are based on identical principle, can mutually use for reference in place of correlation, and can reach
To identical technical effect.
It will be understood by those skilled in the art that realizing all or part of the process of above-described embodiment method, meter can be passed through
Calculation machine program instruction relevant hardware is completed, and the program can be stored in computer readable storage medium.Wherein, described
Computer readable storage medium is disk, CD, read-only memory or random access memory etc..
The foregoing is only a preferred embodiment of the present invention, but scope of protection of the present invention is not limited thereto,
In the technical scope disclosed by the present invention, any changes or substitutions that can be easily thought of by anyone skilled in the art,
It should be covered by the protection scope of the present invention.
Claims (10)
1. a kind of user experience quality appraisal procedure based on user behavior analysis, which is characterized in that steps are as follows:
User behavior data in capturing service system: the continuous log duration of user, user request time-consuming, system response is time-consuming,
The error rate that page jump is time-consuming, dns lookup is time-consuming, process flow operation is time-consuming, user's operation generates；
Collected data are normalized, the user behavior data after being normalized；
User behavior data after normalized is input to user experience quality assessment models, is checked the quality using the user's body
It measures assessment models and comprehensive score is carried out to the user behavior data after the normalized, obtain assessment result.
2. the method according to claim 1, wherein establishing the user experience quality assessment in the following manner
Model:
Step S1: being analyzed by target of user experience quality, is selected three for calculating user experience quality level-ones and is referred to
Mark, comprising: user logs in the wrong index that index, user's operation index, user's operation generate；
Step S2: according to the influence factor of three first class index, the corresponding two-level index of each first class index is respectively obtained: its
In, it includes: user's log duration that the user, which logs in the corresponding two-level index of index,；
The corresponding two-level index of the user's operation index includes: that user requests that time-consuming, system response is time-consuming, page jump consumption
When, dns lookup is time-consuming, process flow operation is time-consuming；
The corresponding two-level index of wrong index that the user's operation generates includes: error number, the mistake class that user's operation generates
Type and error rate；
Step S3: according to the correlation between first class index and corresponding two-level index, rank is passed using analytic hierarchy process (AHP) foundation
Hierarchical structure, and according to the importance of each index, corresponding weight is distributed for it.
3. according to the method described in claim 2, it is characterized in that, being in the following manner the corresponding weight of each Distribution Indexes:
Three first class index are compared two-by-two, the corresponding multiple two-level index of the user's operation index are carried out two
Two comparisons are compared the corresponding multiple two-level index of wrong index that the user's operation generates two-by-two, according to nine grades of ratios
Example scale be ranked each evaluation index relative superior or inferior sequence, successively construct the judgment matrixs at different levels of evaluation index；
Consistency check is carried out to the judgment matrixs at different levels and demonstrates mould if the judgment matrix at different levels meets consistency
The reasonability of type；Otherwise the judgment matrix is adjusted；
The maximal eigenvector is normalized in the maximal eigenvector of judgment matrix, obtains the weight of each index.
4. according to the method described in claim 3, it is characterized in that, described be ranked each evaluation index according to nine grades of proportion quotieties
The principle of relative superior or inferior sequence is as follows:
Scale 1: it indicates that two indices are compared, has same importance；Scale 3: indicate that two indices are compared, the former compares the latter
It is slightly important；Scale 5: indicate that two indices are compared, the former is more obvious than the latter important；Scale 7: indicating that two indices are compared, preceding
Person is stronger than the latter important；Scale 9: indicate that two indices are compared, the former is more extremely important than the latter；Scale 2,4,6,8: in expression
State the median of adjacent judgement；Reciprocal: if index i is bij to the comparison result of j, index j is bij=to the comparison result of i
1/bij。
5. the method according to claim 3 or 4, which is characterized in that the detailed process of the test and judge matrix consistency
It is as follows:
Calculate the coincident indicator CI of judgment matrix:
Wherein, λmaxFor the maximum eigenvalue of judgment matrix, n is the order of judgment matrix；
Corresponding index value when order is n is searched in the numerical tabular of Aver-age Random Consistency Index RI；
Calculate consistency ration CR:
As CR < 0.1, it is believed that judgment matrix meets coherence request, otherwise, is modified to judgment matrix.
6. the method according to claim 1, wherein being acquired by way of installing probe to operation system described
User behavior data, or the user behavior data is acquired from third party's class libraries or application log program.
7. being obtained the method according to claim 1, wherein described be normalized collected data
User behavior data after to normalization, specifically includes the following steps:
To collected user behavior data, corresponding data target is established respectively, by collected user behavior data and phase
The data target answered compares, and obtains the hundred-mark system score of presently described user behavior data.
8. the method according to any one of claim 5-7, which is characterized in that the user experience quality assessment models
Exporting result includes: user experience quality score；First class index or two-level index title and phase of the score lower than corresponding reference value
Reserved portion.
9. a kind of user experience quality assessment system based on user behavior analysis, which is characterized in that the system comprises users
Behavioral data acquisition module, data normalization processing module, user experience quality evaluation module,
Wherein, the user behavior data acquisition module, for the user behavior data in capturing service system: user continuously steps on
Record duration, user requests time-consuming, system response is time-consuming, page jump is time-consuming, dns lookup is time-consuming, process flow operation time-consuming, Yong Hucao
Make the error rate generated；
The data normalization processing module, the data for exporting to the user behavior data acquisition module are normalized
Processing, the user behavior data after being normalized；
User experience quality assessment models are stored in the user experience quality evaluation module, for will be after the normalization
User behavior data is input to user experience quality assessment models, using the user experience quality assessment models to the normalizing
Change treated user behavior data and carry out comprehensive score, obtains assessment result.
10. system according to claim 9, which is characterized in that the user experience quality assessment models include:
Target item: user experience quality score；
First class index item: user logs in the wrong index that index, user's operation index, user's operation generate；
Two-level index item:
It includes: user's log duration that the user, which logs in the corresponding two-level index of index,；
The corresponding two-level index of the user's operation index includes: that user requests that time-consuming, system response is time-consuming, page jump consumption
When, dns lookup is time-consuming, process flow operation is time-consuming；
The corresponding two-level index of wrong index that the user's operation generates includes: error number, the mistake class that user's operation generates
Type and error rate.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811584861.3A CN109784671A (en) | 2018-12-24 | 2018-12-24 | A kind of user experience quality appraisal procedure and system based on user behavior analysis |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811584861.3A CN109784671A (en) | 2018-12-24 | 2018-12-24 | A kind of user experience quality appraisal procedure and system based on user behavior analysis |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109784671A true CN109784671A (en) | 2019-05-21 |
Family
ID=66497621
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811584861.3A Pending CN109784671A (en) | 2018-12-24 | 2018-12-24 | A kind of user experience quality appraisal procedure and system based on user behavior analysis |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109784671A (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110689219A (en) * | 2019-08-16 | 2020-01-14 | 中国平安财产保险股份有限公司 | Big data-based user behavior evaluation display method, device, equipment and medium |
| CN111679808A (en) * | 2020-06-09 | 2020-09-18 | 中国建设银行股份有限公司 | RPA robot application requirement evaluation method and device |
| CN111985751A (en) * | 2019-05-23 | 2020-11-24 | 百度在线网络技术（北京）有限公司 | Man-machine chat experience assessment system |
| CN112052139A (en) * | 2020-08-31 | 2020-12-08 | 河南中烟工业有限责任公司 | Application program consumption and quality evaluation system |
| CN113761134A (en) * | 2021-09-16 | 2021-12-07 | 平安国际智慧城市科技股份有限公司 | User portrait construction method and device, computer equipment and storage medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106228403A (en) * | 2016-07-20 | 2016-12-14 | 武汉斗鱼网络科技有限公司 | A kind of user based on step analysis algorithm is worth methods of marking and system |
| CN106600372A (en) * | 2016-12-12 | 2017-04-26 | 武汉烽火信息集成技术有限公司 | Commodity recommending method and system based on user behaviors |
| CN107231345A (en) * | 2017-05-03 | 2017-10-03 | 成都国腾实业集团有限公司 | Networks congestion control methods of risk assessment based on AHP |
| CN107609651A (en) * | 2017-08-15 | 2018-01-19 | 华中师范大学 | A kind of design item appraisal procedure based on learner model |
-
2018
- 2018-12-24 CN CN201811584861.3A patent/CN109784671A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106228403A (en) * | 2016-07-20 | 2016-12-14 | 武汉斗鱼网络科技有限公司 | A kind of user based on step analysis algorithm is worth methods of marking and system |
| CN106600372A (en) * | 2016-12-12 | 2017-04-26 | 武汉烽火信息集成技术有限公司 | Commodity recommending method and system based on user behaviors |
| CN107231345A (en) * | 2017-05-03 | 2017-10-03 | 成都国腾实业集团有限公司 | Networks congestion control methods of risk assessment based on AHP |
| CN107609651A (en) * | 2017-08-15 | 2018-01-19 | 华中师范大学 | A kind of design item appraisal procedure based on learner model |
Non-Patent Citations (2)
| Title |
|---|
| 冀铁果等: "可信网络中一种基于AHP 的用户行为评估方法", 《计算机工程与应用》 * |
| 陆瀚等: "基于用户体验的即时通信应用评估与量化模型研究", 《2016年全国工业设计教育研讨会暨国际工业设计高峰论坛论文集》 * |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111985751A (en) * | 2019-05-23 | 2020-11-24 | 百度在线网络技术（北京）有限公司 | Man-machine chat experience assessment system |
| CN111985751B (en) * | 2019-05-23 | 2023-09-26 | 百度在线网络技术（北京）有限公司 | Human-computer chat experience assessment system |
| CN110689219A (en) * | 2019-08-16 | 2020-01-14 | 中国平安财产保险股份有限公司 | Big data-based user behavior evaluation display method, device, equipment and medium |
| CN111679808A (en) * | 2020-06-09 | 2020-09-18 | 中国建设银行股份有限公司 | RPA robot application requirement evaluation method and device |
| CN111679808B (en) * | 2020-06-09 | 2023-05-16 | 中国建设银行股份有限公司 | RPA robot application demand evaluation method and device |
| CN112052139A (en) * | 2020-08-31 | 2020-12-08 | 河南中烟工业有限责任公司 | Application program consumption and quality evaluation system |
| CN113761134A (en) * | 2021-09-16 | 2021-12-07 | 平安国际智慧城市科技股份有限公司 | User portrait construction method and device, computer equipment and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109784671A (en) | A kind of user experience quality appraisal procedure and system based on user behavior analysis | |
| Liu et al. | Personnel selection using interval 2‐tuple linguistic VIKOR method | |
| US8303310B2 (en) | System for evaluating information competency and method thereof | |
| CN109408359A (en) | A kind of software test procedure quality metric method and system | |
| CN105512465B (en) | Based on the cloud platform safety quantitative estimation method for improving VIKOR methods | |
| Harmon et al. | A proposed model for simulation validation process maturity | |
| CN109711707B (en) | Comprehensive state evaluation method for ship power device | |
| CN102096633A (en) | Application field oriented software quality standard evaluating method | |
| CN111523080A (en) | PAS system comprehensive evaluation method of power system and related device | |
| Huang et al. | Post‐entry internationalization speed, learning speed, and performance: A meta‐analytic review and theory extension | |
| Ruan et al. | Software quality evaluation model based on weighted mutation rate correction incompletion G1 combination weights | |
| CN102468997A (en) | Method for assessing stability of safety index system of multidimension network | |
| CN106257506A (en) | Three layers of associating of big data quantity prediction dynamically select optimal models method | |
| CN111861056A (en) | Evaluation method for technical innovation level | |
| Jing | Research on the Evaluation Method of University Bi‐Entrepreneurship Curriculum Based on IoT Integrated with AHP Algorithm | |
| Streimikis et al. | Does the energy-related greenhouse gas emission abatement cost depend on the optimization direction: shadow pricing based on the weak disposability technology in the European Union agriculture | |
| CN105844374A (en) | Multi-index comprehensive evaluation method and multi-index comprehensive evaluation device based on hierarchical structure model | |
| del-Río et al. | Assessing the energy trilemma through the diversity of the energy mix: the case of India | |
| CN112926198A (en) | Credibility evaluation method and system of MSaaS simulation architecture | |
| Jiang | Teaching Quality Monitoring of Higher Education Based on Data Mining | |
| Gomez-Ruiz et al. | Improving the consistency of AHP matrices using a multi-layer perceptron-based model | |
| Peng et al. | Innovative evaluation method of government physical education training quality based on fuzzy mathematics | |
| Lan et al. | Digital Investment Risk Evaluation Model of Power Grid Enterprises Based on FAHP-AOA-LSSVM | |
| Kim et al. | Determining customer‐oriented technical importance ratings: an evaluative study | |
| Zatsarinnyy et al. | The Efficiency and Quality of Information Systems |
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 |