CN112580888A - Method, apparatus, device and storage medium for predicting project completion quality result - Google Patents

Method, apparatus, device and storage medium for predicting project completion quality result Download PDF

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CN112580888A
CN112580888A CN202011569119.2A CN202011569119A CN112580888A CN 112580888 A CN112580888 A CN 112580888A CN 202011569119 A CN202011569119 A CN 202011569119A CN 112580888 A CN112580888 A CN 112580888A
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item
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章小路
石静
史效迁
尹娜
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Agricultural Bank of China
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Abstract

The application discloses a method, a device, equipment and a storage medium for predicting completion quality results of projects. The method comprises the following steps: acquiring an identifier of an execution object of a project to be executed; acquiring a history completion quality result of the execution object on a history item according to the identifier of the execution object; and predicting the completion quality result of the execution object on the item to be executed according to the historical completion quality result and the attenuation factor. According to the method, when the historical completion quality result of the historical item is utilized, the change of the reference value of the historical completion quality result is considered, so that the accuracy of the prediction result is improved.

Description

Method, apparatus, device and storage medium for predicting project completion quality result
Technical Field
The present application relates to the field of computer technologies, and in particular, to a method, an apparatus, a device, and a storage medium for predicting a completion quality result of a project.
Background
With the acceleration of the information-based construction of commercial banks, scientific and technological research and development tasks become heavier and heavier, scientific and technological personnel become more and more, and the completion quality result of each project is of great importance. To ensure a project's completion quality outcome, it is necessary to predict the project's completion quality outcome prior to starting the project.
In a related scenario, the managers in the team performing the project are scored. For example, leaders or team members in a team score the manager according to the completion quality results of historical projects executed by the manager, and the completion quality results of the projects are predicted through scores obtained by the manager.
However, in the above-described scheme, as time passes, the reference value of the completion quality result of the history item to the current item is also changed, thereby reducing the accuracy of the score of the manager and further reducing the accuracy of predicting the completion quality result of the current item.
Based on this, a method for predicting the completion quality of project with high accuracy is needed.
Disclosure of Invention
In order to solve the technical problem, the application provides a method, a device, equipment and a storage medium for predicting a project completion quality result. According to the method, when the historical completion quality result of the historical item is utilized, the change of the reference value of the historical completion quality result is considered, so that the accuracy of the prediction result is improved.
The embodiment of the application discloses the following technical scheme:
in a first aspect, the present application provides a method of predicting a quality of completion result for a project, comprising:
acquiring an identifier of an execution object of a project to be executed;
acquiring a history completion quality result of the execution object on a history item according to the identifier of the execution object;
and predicting the completion quality result of the execution object on the item to be executed according to the historical completion quality result and the attenuation factor.
Optionally, the predicting, according to the historical completion quality result and the attenuation factor, the completion quality result of the execution object on the to-be-executed item includes:
acquiring the division information of the execution object in the historical item;
determining the historical score of the execution object according to the labor division information in the historical item;
determining a current score of the execution object according to the historical score and a decay factor;
and predicting the completion quality result of the execution object on the to-be-executed project according to the current score.
Optionally, the obtaining of the division labor information of the execution object in the history item includes:
acquiring the division information of the execution object in the project to be executed;
and determining the labor division information in the historical item which is consistent with the labor division information of the execution object in the item to be executed.
Optionally, the attenuation factor is inversely related to the time difference; the time difference value is a time difference between a current date and a date of generation of the historical completion quality result.
Optionally, the attenuation factor is obtained by the following formula:
Figure BDA0002862220260000021
wherein S isiIs the decay factor of the ith history item, beta is a preset parameter, t is the current date, t is0For the generation date, i is a positive integer.
Optionally, the current score of the execution object is obtained by the following formula:
Figure BDA0002862220260000022
wherein G isxFor the current rating of the execution object identified as x, DiHistory scoring, S, of the ith history item for the execution object identified as xiIs the decay factor of the ith history item.
Optionally, the method further includes:
and if the completion quality result of the execution object on the project to be executed is lower than a preset threshold value, generating feedback information.
In a second aspect, the present application provides an apparatus for predicting a quality of completion result for a project, comprising: an acquisition module and a prediction module;
the acquisition module is used for acquiring the identification of the execution object of the item to be executed; acquiring a history completion quality result of the execution object on a history item according to the identifier of the execution object;
and the prediction module is used for predicting the completion quality result of the execution object on the item to be executed according to the historical completion quality result and the attenuation factor.
Optionally, the obtaining module is specifically configured to obtain the labor division information of the execution object in the history item; determining the historical score of the execution object according to the labor division information in the historical item; determining a current score of the execution object according to the historical score and a decay factor;
the prediction module is specifically configured to predict, according to the current score, a completion quality result of the execution object on the to-be-executed project.
Optionally, the obtaining module is specifically configured to obtain the labor division information of the execution object in the to-be-executed project; and determining the labor division information in the historical item which is consistent with the labor division information of the execution object in the item to be executed.
Optionally, the attenuation factor is inversely related to the time difference; the time difference value is a time difference between a current date and a date of generation of the historical completion quality result.
Optionally, the attenuation factor is obtained by the following formula:
Figure BDA0002862220260000031
wherein S isiIs the decay factor of the ith history item, beta is a preset parameter, t is the current date, t is0For the generation date, i is a positive integer.
Optionally, the current score of the execution object is obtained by the following formula:
Figure BDA0002862220260000032
wherein G isxFor the current rating of the execution object identified as x, DiHistory scoring, S, of the ith history item for the execution object identified as xiIs the decay factor of the ith history item.
Optionally, the apparatus further comprises: a feedback module;
the feedback module is used for generating feedback information when the completion quality result of the execution object on the project to be executed is lower than a preset threshold value
In a third aspect, the present application provides an apparatus for predicting a quality of completion result for a project, the apparatus comprising: a memory and a processor;
the memory is used for storing a computer program and transmitting the computer program to the processor;
the processor, according to instructions in the computer program, performs the method of any of the first aspects.
In a fourth aspect, the present application provides a computer readable storage medium for storing computer software instructions which, when run on a computer, cause the computer to perform the method of any of the first aspect above.
According to the technical scheme, the method has the following beneficial effects:
the application provides a method for predicting the completion quality result of a project, which not only considers the historical completion quality result of the historical project of an execution object, but also considers the reference value of the historical completion quality result when predicting the completion quality result of the project to be executed by the execution object. For example, when the generation time of the historical completion quality result is longer than the current time, the reference value of the historical completion quality result is lowered. According to the method, the historical completion quality results are attenuated through attenuation factors, and the completion quality results of the to-be-executed items of the execution object are predicted by utilizing the attenuated historical completion quality results. Therefore, the method can improve the accuracy of the completion quality result of the project to be executed of the prediction execution object.
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In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a system architecture diagram of a prediction system according to an embodiment of the present application;
fig. 2 is a schematic interface diagram of an interaction subsystem according to an embodiment of the present application;
FIG. 3 is a flowchart of a method for predicting project completion quality results provided by an embodiment of the present application;
FIG. 4 is a diagram illustrating an apparatus for predicting project completion quality results according to an embodiment of the present disclosure;
fig. 5 is a schematic diagram of a computing device according to an embodiment of the present application.
Detailed Description
In order to make the technical solutions of the present application better understood, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
For the sake of understanding, the technical terms related to the present application will be described below.
The completion quality result for a project is an evaluation that indicates the completion of the project, for example, the completion quality result may be a score for the completion of the project. In order to ensure the completion quality result of the to-be-executed item, the completion quality result of the to-be-executed item needs to be predicted before the to-be-executed item starts to be executed.
In the related scheme, managers in the team of the project to be executed are scored subjectively. For example, the historical integrity quality result after the manager executes the historical item. However, the reference value of the history completion quality result of the history item also changes with the passage of time. This reduces the accuracy of the score of the administrator, which in turn reduces the accuracy of the quality result of the completion of the predicted current project.
In view of the foregoing, the present application provides a method for predicting a quality of completion result of a project. The method for predicting the completion quality result of the project can be realized by a prediction system. Specifically, the prediction system obtains an identifier of an execution object of the item to be executed, and obtains a history completion quality result of the execution object on the history item according to the identifier of the execution object. And the prediction system predicts the completion quality result of the to-be-executed item of the execution object according to the historical completion quality result and the attenuation factor.
On one hand, the method predicts the completion quality result of the project to be executed through a prediction model deployed in a prediction system, and avoids subjective errors of manual scoring. On the other hand, the method not only considers the historical completion quality results, but also considers the reference value of the historical completion quality results. In predicting a completion quality result of an execution object to an item to be executed, a change in a reference value of a historical completion quality result is modified by a decay factor. Therefore, the method can improve the accuracy of the completion quality result of the item to be executed of the prediction execution object.
The prediction system may be a software system. In particular, the prediction system may be deployed in a computing device in the form of computer software to implement functionality to predict a completion quality result for a project. In some embodiments, the prediction system may also be a hardware system. The hardware system includes a physical device having functionality to predict a completion quality result for an item.
The prediction system is realized by subsystems with different functions and units with different functions. The embodiment of the present application does not limit the partitioning manner of the subsystems and units inside the prediction system, and is described below with reference to an exemplary partitioning manner shown in fig. 1.
As shown in FIG. 1, prediction system 100 includes an interaction subsystem 120 and a prediction subsystem 140. The interactive subsystem 120 is configured to provide a Graphical User Interface (GUI) for a user, and receive an identifier of an execution object of an item to be executed, which is input by the user through the GUI. The prediction subsystem 140 is configured to obtain a quality result of the to-be-executed object on the completion of the history item according to the identifier of the to-be-executed object, and predict the quality result of the to-be-executed object on the completion of the to-be-executed item according to the quality result of the history completion and the attenuation factor.
The interaction subsystem 120 includes a communication unit 122 and a display unit 124. Prediction subsystem 140 includes communication unit 142, processing unit 144, prediction unit 146, and feedback unit 148. The feedback unit 148 is optional, and the feedback unit 148 may not be needed in some embodiments. Described separately below.
The communication unit 122 is configured to receive an identification of an execution object of the to-be-executed item input by the user. The display unit 124 is configured to provide a GUI, refer to fig. 2, which is an interface schematic diagram of a main interface of an interactive subsystem provided in an embodiment of the present application, as shown in fig. 2, the main interface 200 carries an input control 220, and the main interface 200 further presents prompt information 240, where the prompt information 240 is used to prompt a user to input an identifier of an execution object. The user may enter an identification of an execution object for the item to be executed via the input control 220. The communication unit 122 can obtain an identification of an execution object of the item to be executed and then send the identification of the execution object to the prediction subsystem 140.
The communication unit 142 is configured to receive the identification of the execution object sent by the interaction subsystem 120. The processing unit 144 is configured to obtain a history completion quality result of the execution object on the history item according to the identifier of the execution object. For example, the processing unit 144 may obtain the historical completion quality result corresponding to the execution object identifier from the database. Then, the prediction unit 146 predicts the completion quality result of the execution object to the item to be executed according to the history completion quality result and the attenuation factor. The decay factor is used to decay the historical completion quality results to different degrees, for example, the decay degree of the historical completion quality results with longer time is larger, and the decay degree of the historical completion quality results with shorter time is smaller. Thus, the prediction unit 146 can take into account changes in the reference value of the historical completion quality result by the decay factor.
In some implementations, the processing unit 144 is configured to determine, according to the history item, labor division information of the execution object in the history item; the prediction unit 146 determines a historical score of the execution object according to the division information of the execution object in the historical item, then determines a current score of the execution object according to the historical score and the attenuation factor, and predicts a completion quality result of the execution object to the to-be-executed item according to the current score.
The execution object may be multiple, and the work for which each execution object is responsible is different. For example, execution object a is responsible for job 1 and execution object B is responsible for job 2. The division information refers to division of work for which the execution object is responsible. In some scenarios, the difficulty of the jobs without jobs is different, and thus the fraction of the score occupied for different jobs is also different. For example, when the difficulty of job 1 is greater than that of job 2, job 1 may be weighted 0.6 and job 2 may be weighted 0.4. Thus, when the completion quality result of the item is 10 points, the execution object a obtains 6 points, and the execution object B obtains 4 points. Then, the prediction unit 146 determines the current scores of the execution object a and the execution object B according to the history scores of the execution object a and the execution object B and the attenuation factor, and if the attenuation factor is 0.5, the current score of the execution object a is 3 and the current score of the execution object B is 2 for the history item.
Normally, the history item can provide a history score of 6 points for the execution object a. While the reference value of the history item (for example, the influence of time lapse on the memory of the execution object a) is considered in the embodiment, the history score of the execution object is adjusted by the attenuation factor in the embodiment, that is, the 6 points that the history item can provide for the execution object a are attenuated to 3 points. Therefore, the accuracy of prediction can be improved by considering the reference value of the historical item.
In some implementations, the processing unit 144 obtains the labor division information of the execution object in the to-be-executed item, and then determines the labor division information in the history item that is consistent with the labor division information of the execution object in the to-be-executed item. In this embodiment, a history item that matches the division information in the to-be-executed item of the execution object is used, and for example, if the division of the execution object a in the to-be-executed item is work 1, only the history item of the execution work 1 of the execution object a is considered. Therefore, the current score of the execution object A is predicted in a more targeted mode, and the prediction accuracy is improved.
In some implementations, the feedback unit 148 is configured to generate the feedback information when the completion quality result of the to-be-executed item of the execution object is lower than a preset threshold. The feedback information may be used to remind that there is a risk of a low completion quality result when the current execution object is used to execute the to-be-executed item.
Next, in order to make the technical solution of the present application clearer and easier to understand, a method for predicting a completion quality result of a project provided by the embodiment of the present application will be described in detail below from the perspective of the prediction system 100.
Referring to fig. 3, a flow diagram of a method of predicting a project completion quality result is shown, the method comprising:
s301: the prediction system 100 obtains an identification of an execution object for the item to be executed.
The prediction system 100 may receive user input of an identification of an execution object of an item to be executed via the GUI. The user refers to an object that needs to obtain the predicted completion quality result of the to-be-executed item, and the execution object refers to an object that executes the to-be-executed item, for example, the execution object may be a manager or a team member of a team of the to-be-executed item. The identification is used to uniquely represent the execution object. The identification of different execution objects is different.
S302: the prediction system 100 obtains the historical completion quality result of the execution object for the historical item according to the identifier of the execution object.
Since the identifier of the execution object has a unique correspondence with the execution correspondence, the prediction system 100 can obtain the completion quality result of the history item corresponding to the execution object according to the identifier of the execution object. For example: the database stores the identifier of the execution object and the completion quality result of the execution object on the history item, and when the prediction system 100 obtains the identifier of the execution object, the completion quality result of the execution object corresponding to the identifier of the execution object on the history item can be determined from the database.
S303: the prediction system 100 predicts the completion quality result of the execution object for the to-be-executed item according to the historical completion quality result and the attenuation factor.
After obtaining the historical completion quality result of the execution object, the prediction system 100 predicts the completion quality result of the execution object to the to-be-executed item according to the historical completion quality result and the attenuation factor. The prediction system 100 considers not only the historical completion quality outcome but also the reference value of the historical completion quality outcome in predicting the completion quality outcome of the item to be executed, i.e., attenuates the historical completion quality outcome whose reference value becomes lower by an attenuation factor. In this manner, the prediction system 100 can improve the accuracy of predicting the completion quality results of the item to be executed.
In some scenarios, the attenuation factor is inversely related to the time difference; the time difference value is a time difference between a current date and a date of generation of the historical completion quality result. In this scenario, the reference value of the historical completion quality result will decrease with the passage of time, i.e., the larger the time difference, the smaller the attenuation factor, and thus the lower the reference value of the historical completion quality result.
In some implementations, the prediction system 100 obtains the labor division information of the object to be executed in the history item, and determines the history score of the object to be executed according to the labor division information in the history item. In one project, the division of labor of the execution object is different, and the score obtained by the execution object is different. For example, when the difficulty of job 1 is greater than that of job 2, job 1 may be weighted 0.6 and job 2 may be weighted 0.4. Thus, when the history completion quality result is 10 points, the execution object a obtains 6 points, and the execution object B obtains 4 points. If the execution object of the to-be-executed item is still the execution object a and the execution object B, the prediction system 100 predicts the current score of the execution object a and the current score of the execution object B, respectively. Specifically, the attenuation factor is obtained by the following formula:
Figure BDA0002862220260000091
wherein S isiIs the decay factor of the ith history item, beta is a preset parameter, t is the current date, t is0For the generation date, i is a positive integer. For easy understanding, the attenuation factor is S1For example, 0.5, the current score of the execution object a obtained from one history item is 3, and the current score of the execution object B is 2. Of course, the above description is only given by taking one history item as an example, and in an actual application process, a plurality of history items may be included. The prediction system needs to sum the current scores of the plurality of history item acquisition execution objects a and the current scores of the plurality of history item acquisition execution objects B. The prediction system 100 predicts the completion quality result of the to-be-executed item of the execution object according to the current score after the summation of the execution object a and the current score after the summation of the execution object B. Specifically, the current score of an execution object is obtained by the following formula:
Figure BDA0002862220260000092
wherein G isxFor the current rating of the execution object identified as x, DiHistory scoring, S, of the ith history item for the execution object identified as xiIs the decay factor of the ith history item. Thus, if the execution object includes execution object A and execution object B, G is calculated by the above formulaAAnd GBThen through GAAnd GBTo determine the current rating of the executing object. For example, the current score may be (G)A+GB)。
In other implementations, to further improve the accuracy of the prediction system 100 in predicting the completion quality results of a project. In the process of acquiring the labor sharing information of the execution object in the history item, the prediction system 100 acquires only the labor sharing information in the history item which is consistent with the labor sharing information of the execution object in the item to be executed. For example, if the division of the execution object a in the to-be-executed item is work 1, the prediction system 100 obtains the division information of the history item that the division of the execution object a is work 1.
For ease of understanding, 3 history items are used as an example for description. Work 1, work 2, and work 3 are included in the first history item, and the division of the execution object a is work 1. Work 1, work 2, and work 4 are included in the second history item, and the division of the execution object a is work 2. Work 1 and work 5 are included in the third history item, and the division of the execution object a is work 1. If the division of the execution object a in the to-be-executed item is work 1, the prediction system 100 obtains division information in the first history item and division information in the third history item, taking the third history item as an example, if the history score of the third history item is 10, the weight of work 1 is 0.7, and the weight of work 2 is 0.3, it may be determined that the history score of the execution object a in the third history item is 7.
In some implementations, the prediction system 100 generates the feedback information if the quality result of the completion of the to-be-executed item by the execution object is lower than a preset threshold. The feedback information may be used to remind that there is a risk of a low completion quality result when the current execution object is used to execute the to-be-executed item.
The application provides a method for predicting the completion quality result of a project, which not only considers the historical completion quality result of the historical project of an execution object, but also considers the reference value of the historical completion quality result when predicting the completion quality result of the project to be executed by the execution object. For example, when the generation time of the historical completion quality result is longer than the current time, the reference value of the historical completion quality result is lowered. According to the method, the historical completion quality results are attenuated through attenuation factors, and the completion quality results of the to-be-executed items of the execution object are predicted by utilizing the attenuated historical completion quality results. Therefore, the method can improve the accuracy of the completion quality result of the project to be executed of the prediction execution object.
The method for predicting the completion quality result of the project provided by the embodiment of the present application is described above with reference to fig. 1 to 3, and the apparatus for predicting the completion quality result of the project provided by the embodiment of the present application and the computing device for implementing the function of the apparatus for predicting the completion quality result of the project are described next with reference to the accompanying drawings.
As shown in fig. 4, the embodiment of the present application further provides an apparatus 400 for predicting a completion quality result of a project, where the apparatus 400 is configured to perform the method for predicting the completion quality result of the project. The embodiment of the present application does not limit the division of the functional modules in the apparatus 400, and the following exemplary provides a division of the functional modules:
the apparatus 400 for predicting a completion quality result for a project includes an acquisition module 402 and a prediction module 404.
The obtaining module 402 is configured to obtain an identifier of an execution object of an item to be executed; acquiring a history completion quality result of the execution object on a history item according to the identifier of the execution object;
the predicting module 404 is configured to predict a completion quality result of the execution object on the to-be-executed item according to the historical completion quality result and the attenuation factor.
The above-described apparatus 400 for predicting a quality result of a project completion may be implemented by a computing device. Fig. 5 provides a computing device, and as shown in fig. 5, the computing device 500 may be specifically used to implement the functions of the apparatus 400 for predicting the completion quality result of an item in the embodiment shown in fig. 4.
Computing device 500 includes a bus 501, a processor 502, a display 503, and a memory 504. The processor 502, memory 504 and display 503 communicate via the bus 501.
The processor 502 may be any one or more of a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), a Micro Processor (MP), a Digital Signal Processor (DSP), and the like.
The display 503 is an input/output (I/O) device. The device can display electronic documents such as images and characters on a screen for a user to view. The display 503 may be classified into a Liquid Crystal Display (LCD), an Organic Light Emitting Diode (OLED) display, and the like according to a manufacturing material. In particular, the display 503 may receive user input of an identification of an execution object through the GUI.
The memory 504 may include volatile memory (volatile memory), such as Random Access Memory (RAM). The memory 504 may also include a non-volatile memory (non-volatile memory), such as a read-only memory (ROM), a flash memory, a hard drive (HDD) or a Solid State Drive (SSD).
The memory 504 stores executable code that the processor 502 executes to perform the method of predicting the completion quality outcome of the project. Specifically, the processor 502 executes the program code described above to control the display 503 to receive user input of an identification of an execution object through the GUI. Then the processor 502 obtains the history completion quality result of the execution object to the history item according to the identification of the execution object; and predicting the completion quality result of the execution object on the item to be executed according to the historical completion quality result and the attenuation factor.
The embodiment of the application also provides a computer readable storage medium. The computer-readable storage medium can be any available medium that a computing device can store or a data storage device, such as a data center, that contains one or more available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid state disk), among others. The computer-readable storage medium includes instructions that direct a computing device to perform the above-described method of predicting a quality of completion result for a project.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the apparatus embodiment, since it is substantially similar to the method embodiment, it is relatively simple to describe, and reference may be made to some descriptions of the method embodiment for relevant points. The above-described system embodiments are merely illustrative, and the units and modules described as separate components may or may not be physically separate. In addition, some or all of the units and modules may be selected according to actual needs to achieve the purpose of the solution of the embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
It should be understood that in the present application, "at least one" means one or more, "a plurality" means two or more. "and/or" for describing an association relationship of associated objects, indicating that there may be three relationships, e.g., "a and/or B" may indicate: only A, only B and both A and B are present, wherein A and B may be singular or plural. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "at least one of the following" or similar expressions refer to any combination of these items, including any combination of single item(s) or plural items. For example, at least one (one) of a, b, or c, may represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", wherein a, b, c may be single or plural.
The foregoing is merely a preferred embodiment of the present application and is not intended to limit the present application in any way. Although the present application has been described with reference to the preferred embodiments, it is not intended to limit the present application. Those skilled in the art can now make numerous possible variations and modifications to the disclosed embodiments, or modify equivalent embodiments, using the methods and techniques disclosed above, without departing from the scope of the claimed embodiments. Therefore, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present application still fall within the protection scope of the technical solution of the present application without departing from the content of the technical solution of the present application.

Claims (10)

1. A method of predicting a quality of completion result for a project, comprising:
acquiring an identifier of an execution object of a project to be executed;
acquiring a history completion quality result of the execution object on a history item according to the identifier of the execution object;
and predicting the completion quality result of the execution object on the item to be executed according to the historical completion quality result and the attenuation factor.
2. The method of claim 1, wherein predicting the completion quality outcome of the execution object for the item to be executed based on the historical completion quality outcome and a decay factor comprises:
acquiring the division information of the execution object in the historical item;
determining the historical score of the execution object according to the labor division information in the historical item;
determining a current score of the execution object according to the historical score and a decay factor;
and predicting the completion quality result of the execution object on the to-be-executed project according to the current score.
3. The method of claim 2, wherein the obtaining of the division of labor information of the execution object in the history item comprises:
acquiring the division information of the execution object in the project to be executed;
and determining the labor division information in the historical item which is consistent with the labor division information of the execution object in the item to be executed.
4. A method according to any of the claims 1-value 3, characterized in that the attenuation factor is inversely related to the time difference; the time difference value is a time difference between a current date and a date of generation of the historical completion quality result.
5. The method according to any one of claims 1 to 4, wherein the attenuation factor is obtained by the following formula:
Figure FDA0002862220250000011
wherein S isiIs the decay factor of the ith history item, beta is a preset parameter, t is the current date, t is0For the generation date, i is a positive integer.
6. The method of claim 5, wherein the current score of the execution object is obtained by the following formula:
Figure FDA0002862220250000021
wherein G isxFor the current rating of the execution object identified as x, DiFor execution of said identifier xHistorical rating of the ith historical item of the object, SiIs the decay factor of the ith history item.
7. The method according to any one of claims 1 to 6, further comprising:
and if the completion quality result of the execution object on the project to be executed is lower than a preset threshold value, generating feedback information.
8. An apparatus for predicting a quality of completion result for a project, comprising: an acquisition module and a prediction module;
the acquisition module is used for acquiring the identification of the execution object of the item to be executed; acquiring a history completion quality result of the execution object on a history item according to the identifier of the execution object;
and the prediction module is used for predicting the completion quality result of the execution object on the item to be executed according to the historical completion quality result and the attenuation factor.
9. An apparatus for predicting a completion quality outcome for a project, the apparatus comprising: a memory and a processor;
the memory is used for storing a computer program and transmitting the computer program to the processor;
the processor, executing the method of any one of claims 1 to 7 according to instructions in the computer program.
10. A computer readable storage medium for storing computer software instructions which, when run on a computer, cause the computer to perform the method of any of claims 1 to 7.
CN202011569119.2A 2020-12-26 2020-12-26 Method, apparatus, device and storage medium for predicting project completion quality result Pending CN112580888A (en)

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Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110286938A (en) * 2019-07-03 2019-09-27 北京百度网讯科技有限公司 For exporting the method and apparatus for being directed to the evaluation information of user
CN110569444A (en) * 2019-08-13 2019-12-13 北京工业大学 Improved slope one algorithm fusing similarity and time attenuation

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110286938A (en) * 2019-07-03 2019-09-27 北京百度网讯科技有限公司 For exporting the method and apparatus for being directed to the evaluation information of user
CN110569444A (en) * 2019-08-13 2019-12-13 北京工业大学 Improved slope one algorithm fusing similarity and time attenuation

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