CN115423363A

CN115423363A - Quality parameter evaluation method, quality parameter evaluation device, quality parameter evaluation equipment and storage medium

Info

Publication number: CN115423363A
Application number: CN202211219185.6A
Authority: CN
Inventors: 花松昌; 王超; 张小彪
Original assignee: CCB Finetech Co Ltd
Current assignee: CCB Finetech Co Ltd
Priority date: 2022-09-30
Filing date: 2022-09-30
Publication date: 2022-12-02

Abstract

The disclosure provides a quality parameter evaluation method, a quality parameter evaluation device, quality parameter evaluation equipment and a storage medium, which can be applied to the field of data analysis. The method comprises the following steps: acquiring a plurality of contract information, wherein each contract information comprises the start-stop time information of a contract; acquiring a plurality of object information, wherein each object information comprises attendance time information of an object; determining a corresponding relation between the plurality of contract information and the plurality of object information according to the start-stop time information included in the plurality of contract information and the attendance time information included in the plurality of object information; and determining, for each contract information of the plurality of contract information, an evaluation value of the contract information according to the target object information set to evaluate the quality parameter; and the target object information set comprises object information which has a corresponding relation with the contract information.

Description

Quality parameter evaluation method, quality parameter evaluation device, quality parameter evaluation equipment and storage medium

Technical Field

The present disclosure relates to the field of data analysis, and more particularly, to a quality parameter evaluation method, a quality parameter evaluation apparatus, an electronic device, a computer-readable storage medium, and a computer program product.

Background

Companies develop a plurality of projects in the operation process, some projects need to cooperate with other companies, and the projects are assisted to be completed by personnel provided by other companies, and the other companies can be outsourcing companies.

In actual management, related information such as projects, contracts and personnel is dispersed in a plurality of systems, when the information needs to be analyzed, the information needs to be manually acquired from the plurality of systems, and corresponding analysis data is acquired through a manual offline analysis and comparison method. It can be seen that the method has the problems of high labor cost and low management efficiency.

Disclosure of Invention

In view of the above, the present disclosure provides a quality parameter evaluation method, a quality parameter evaluation apparatus, an electronic device, a computer-readable storage medium, and a computer program product.

According to a first aspect of the present disclosure, there is provided a quality parameter evaluation method, comprising: acquiring a plurality of contract information, wherein each contract information comprises the start-stop time information of a contract; acquiring a plurality of object information, wherein each object information comprises attendance time information of an object; determining corresponding relations between the plurality of contract information and the plurality of object information according to start-stop time information included in the plurality of contract information and attendance time information included in the plurality of object information; and determining, for each contract information of the plurality of contract information, an evaluation value of the contract information from a target object information set to evaluate a quality parameter; wherein the target object information set includes object information having the correspondence with the contract information.

According to another embodiment of the present disclosure, the determining, according to the start-stop time information included in each of the plurality of pieces of contract information and the attendance time information included in each of the plurality of pieces of object information, a correspondence relationship between the plurality of pieces of contract information and the plurality of pieces of object information includes: determining candidate contract information from the plurality of contract information for each of the plurality of object information; and determining that the candidate contract information and the object information have the corresponding relationship if it is determined that the start-stop time information in the candidate contract information includes attendance time information in the object information.

According to another embodiment of the present disclosure, each contract information further includes a project identifier, and each object information further includes a project identifier; the determining candidate contract information from the plurality of contract information comprises: determining the contract information as the candidate contract information in response to detecting that the item identification in the contract information is consistent with the item identification in the object information.

According to another embodiment of the present disclosure, further comprising: and generating prompt information for representing that the same object information is abnormal in response to the fact that the same object information in the plurality of object information and at least two pieces of contract information have the corresponding relation.

According to another embodiment of the present disclosure, determining the evaluation value of the contract information according to the target object information set includes at least one of: determining a first evaluation value for representing the attrition rate of the object according to the object in the target object set; and determining a second evaluation value according to the attendance time information in the target object set.

According to another embodiment of the present disclosure, determining the evaluation value of the contract information according to the target object information set further includes: determining a target evaluation value based on the first evaluation value and the second evaluation value.

According to another embodiment of the present disclosure, the plurality of object information is from an attendance system, the method further comprising: and adding contract information which has the corresponding relation with each object information in the attendance system.

A second aspect of the present disclosure provides a quality parameter evaluation apparatus including a first acquisition module, a second acquisition module, a first determination module, and a second determination module. The first acquisition module is used for acquiring a plurality of contract information, and each contract information comprises the start-stop time information of a contract. The second acquisition module is used for acquiring a plurality of object information, and each object information comprises attendance time information of an object. The first determining module is used for determining the corresponding relation between the plurality of contract information and the plurality of object information according to the start-stop time information included in the plurality of contract information and the attendance time information included in the plurality of object information. The second determining module is used for determining an evaluation value of the contract information according to a target object information set for each contract information in the plurality of contract information so as to evaluate the quality parameter; wherein the target object information set includes object information having the correspondence with the contract information.

A third aspect of the present disclosure provides an electronic device, comprising: one or more processors; memory for storing one or more programs, wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the above-described method.

A fourth aspect of the present disclosure also provides a computer-readable storage medium having stored thereon executable instructions that, when executed by a processor, cause the processor to perform the above-described method.

A fifth aspect of the disclosure also provides a computer program product comprising a computer program which, when executed by a processor, implements the above method.

According to the quality parameter evaluation method, the quality parameter evaluation device, the electronic equipment, the computer-readable storage medium and the computer program product provided by the disclosure, since the contract start-stop time information and the attendance time information of the object are matched, the corresponding relationship between the contract information and the object information is established, that is, the corresponding object under each contract and the attendance time information of each object are determined, and data support is provided for fine management. Therefore, it is possible to determine the evaluation value of the contract information based on the correspondence between the contract information and the object information, thereby achieving fine management of the contract and outsourcing personnel using the evaluation value.

Drawings

The foregoing and other objects, features and advantages of the disclosure will be apparent from the following description of embodiments of the disclosure, which proceeds with reference to the accompanying drawings, in which:

fig. 1 schematically illustrates an application scenario diagram of a quality parameter assessment method, apparatus, device, medium, and program product according to embodiments of the present disclosure;

FIG. 2 schematically illustrates a flow chart of a quality parameter assessment method according to an embodiment of the present disclosure;

FIG. 3 schematically illustrates a flow chart for determining a correspondence between contract information and object information, in accordance with an embodiment of the present disclosure;

fig. 4 schematically shows a block diagram of a quality parameter evaluation apparatus according to an embodiment of the present disclosure; and

fig. 5 schematically shows a block diagram of an electronic device adapted to implement the quality parameter assessment method according to an embodiment of the present disclosure.

Detailed Description

Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. It should be understood that the description is illustrative only and is not intended to limit the scope of the present disclosure. In the following detailed description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the disclosure. It may be evident, however, that one or more embodiments may be practiced without these specific details. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present disclosure.

The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. The terms "comprises," "comprising," and the like, as used herein, specify the presence of stated features, steps, operations, and/or components, but do not preclude the presence or addition of one or more other features, steps, operations, or components.

All terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art unless otherwise defined. It is noted that the terms used herein should be interpreted as having a meaning that is consistent with the context of this specification and should not be interpreted in an idealized or overly formal sense.

Where a convention analogous to "A, B and at least one of C, etc." is used, in general such a construction is intended in the sense one having skill in the art would understand the convention (e.g., "a system having at least one of A, B and C" would include, but not be limited to, systems that have a alone, B alone, C alone, a and B together, a and C together, B and C together, and/or A, B, C together, etc.).

In the technical scheme of the disclosure, the collection, storage, use, processing, transmission, provision, disclosure, application and other processing of the related data (such as but not limited to personal information of the user) are all in accordance with the regulations of related laws and regulations, and necessary security measures are taken without violating the customs of the public order.

A company can develop a plurality of projects in the operation process, some projects need to cooperate with other companies, the projects are assisted to be completed by personnel provided by other companies, and the other companies can be outsourcing companies. For example, a company develops a certain project, which makes a contract with 10 outsourcing companies respectively, each contract agrees on the number of persons, working time, working content, whether the persons can change, etc. that the outsourcing company of the second party needs to provide, and also agrees on the cost that the company of the first party needs to pay the second party for various situations such as different numbers of persons, different working hours, different working content, whether the persons change, etc.

Since a project can sign a plurality of contracts with a plurality of outsourcing companies, the contract granularity is smaller than the project granularity, and therefore, in order to achieve fine management, the company A needs to accept on the basis of the contracts when receiving. For example, the company a needs to know whether the actual number of outsourcing personnel under the contract is consistent with the appointed number of personnel, and whether the attendance time of the outsourcing personnel under the contract is consistent with the appointed attendance time, so as to accurately determine settlement data. In addition, index data can be counted, and the index data can include change rate, personnel stability, job leaving rate and the like of each contract, so that whether the index data is consistent with the appointed index or not is determined.

In managing data, associated information is dispersed among a plurality of systems. For example, the attendance system records attendance data of each outsourced personnel and project information corresponding to the outsourced personnel, the project information may include a project number and a project name, and contract information is missing in the attendance system. The project operation system records project information developed by a company, contract information signed by each project and an outsourcing company, and outsourcing personnel information corresponding to each contract information, wherein the contract information can comprise a contract number and contract start-stop time, the contract start-stop time is also called departure time, and the outsourcing personnel information can comprise names and numbers of personnel.

In order to realize fine management, in the actual processing process, business personnel need to manually process data scattered in a plurality of systems, for example, corresponding relation between attendance of outsourcing personnel and contracts is maintained in a manual mode, data in each system is manually exported to be a report, and the report is manually analyzed under an offline mode to obtain index data of each contract.

It can be understood that, by adopting the above-mentioned manner of manually processing data, on one hand, the work content of cross-system data association, data analysis and processing, etc. has high requirements on professional of business personnel and high processing difficulty of business personnel. On the other hand, while it is sometimes necessary to identify index data of a contract by card punching information obtained on the same day or in real time, manual processing has problems that efficiency is low and timeliness of data is difficult to satisfy the demand for fine management.

Fig. 1 schematically illustrates an application scenario diagram of a quality parameter evaluation method, apparatus, device, medium, and program product according to an embodiment of the present disclosure.

As shown in fig. 1, an application scenario 100 according to this embodiment may include

terminal devices

101, 102, 103, a network 104 and a server 105. The network 104 serves as a medium for providing communication links between the

terminal devices

101, 102, 103 and the server 105. Network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.

The user may use the

terminal devices

101, 102, 103 to interact with the server 105 via the network 104 to receive or send messages or the like. The

terminal devices

101, 102, 103 may have installed thereon various communication client applications, such as shopping-like applications, web browser applications, search-like applications, instant messaging tools, mailbox clients, social platform software, etc. (by way of example only).

The

terminal devices

101, 102, 103 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, and the like.

The server 105 may be a server providing various services, such as a background management server (for example only) providing support for websites browsed by users using the

terminal devices

101, 102, 103. The backend management server can perform processing such as analysis on data such as the received user request, and feed back the processing result (e.g., an evaluation value generated from contract information and object information, etc.) to the terminal device.

It should be noted that the quality parameter evaluation method provided by the embodiment of the present disclosure may be generally executed by the server 105. Accordingly, the quality parameter evaluation apparatus provided by the embodiment of the present disclosure may be generally disposed in the server 105. The quality parameter evaluation method provided by the embodiment of the present disclosure may also be performed by a server or a server cluster that is different from the server 105 and is capable of communicating with the

terminal devices

101, 102, 103 and/or the server 105. Accordingly, the quality parameter evaluation apparatus provided in the embodiment of the present disclosure may also be disposed in a server or a server cluster that is different from the server 105 and is capable of communicating with the

terminal devices

101, 102, 103 and/or the server 105.

It should be understood that the number of terminal devices, networks, and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.

The quality parameter evaluation method of the disclosed embodiment will be described in detail below with reference to fig. 2 to 3 based on the scenario described in fig. 1.

Fig. 2 schematically shows a flow chart of a quality parameter assessment method according to an embodiment of the present disclosure.

As shown in fig. 2, the quality parameter evaluation method 200 of this embodiment includes operations S210 to S240.

In operation S210, a plurality of contract information, each including start-stop time information of a contract, is acquired.

For example, the contract information may indicate a contract that the own company has made with the outsourcing company. The contract information can be obtained from the project operation system, the contract information corresponds to a contract identifier, a contract number can be used as the contract identifier, the start-stop time information represents the start time and the end time of the contract, and the start-stop time information is also called the departure time.

In operation S220, a plurality of object information is acquired, each object information including attendance time information of an object.

For example, the object may represent a person employed by a company, such as an outsourcing person provided by an outsourcing company. For example, object information may be acquired from an attendance system, the object information corresponds to an object identifier, and the object identifier may include an object name, an object number, and the like. The attendance time information may include a card punch date, a card punch start time, a card punch deadline, and the like.

In operation S230, a correspondence relationship between the plurality of contract information and the plurality of object information is determined according to the start-stop time information included in each of the plurality of contract information and the attendance time information included in each of the plurality of object information.

For example, it may be determined that the contract has a correspondence with the object in a case where start-stop time information of the contract covers attendance time information of the object.

For example, since a contract is 2022, from the start of 5/1/d to the end of 5/31/d, the attendance date of the first object is 5/10/d, and the attendance date of the second object is 6/1/d, it can be seen that the contract has a correspondence relationship with the first object and does not have a correspondence relationship with the second object since the start of 5/1/d to 5/31/d covers 5/10/d and does not cover 6/1/d.

Determining an evaluation value of the contract information from the target object information set for each of the plurality of contract information to evaluate the quality parameter in operation S240; and the target object information set comprises object information which has a corresponding relation with the contract information.

For example, the evaluation value is used to describe a quality evaluation parameter of the contract, and the quality evaluation parameter may represent the overall quality of service provided by a plurality of objects corresponding to the contract.

For example, object information having a correspondence relationship with each contract may be determined in advance, thereby obtaining a target object information set, and then an evaluation value of the contract information may be determined from the target object information set. For example, if the target object information set corresponding to the first contract includes 15 objects and the target object information set corresponding to the second contract includes 18 objects, the evaluation value of the first contract may be determined from attendance time information of the 15 objects, and the evaluation value of the second contract may be determined from attendance time information of the 18 objects.

For example, whether the number of actual persons is consistent with the number of persons agreed in the contract or not and whether the attendance time of outsourcing persons is consistent with the attendance time agreed in the contract or not can be determined according to the target object information set, and then the evaluation value of the contract is determined. If the evaluation values are consistent, the evaluation value is higher, and if the evaluation values are inconsistent, the evaluation value is lower.

For example, index data may be counted, and the index data may include a change rate, a stability of the person, a rate of departure, and the like of the person under each contract, to determine whether the index data coincides with the index agreed in the contract, and to determine the evaluation value of the contract.

According to the technical scheme provided by the embodiment of the disclosure, as the contract start-stop time information is matched with the attendance time information of the object, the corresponding relation between the contract information and the object information is established, namely, the corresponding object under each contract and the attendance time information of each object are determined. Therefore, it is possible to determine the evaluation value of the contract information based on the correspondence between the contract information and the object information, thereby achieving fine management of the contract and outsourcing personnel using the evaluation value.

In addition, compared with a mode that business personnel manually process data scattered in a plurality of systems, the technical scheme provided by the embodiment of the disclosure can realize quick and effective association of data in different systems, solve the problems of difficulty in data acquisition and low timeliness of business personnel, realize flexible, accurate and efficient operation of data, improve production efficiency and save labor cost. Still reduce artifical maintenance work load, avoid data error and the inconsistency that personnel's misoperation caused.

Fig. 3 schematically shows a flowchart of determining a correspondence between contract information and object information according to an embodiment of the present disclosure.

According to another embodiment of the present disclosure, the method 330 for determining a correspondence relationship between the plurality of contract information and the plurality of object information according to the start-stop time information included in each of the plurality of contract information and the attendance time information included in each of the plurality of object information may include operations S331 to S334.

In operation S331, candidate contract information is determined from the plurality of contract information for each of the plurality of object information.

In one example, the month and year in which the object information works may be determined according to attendance time information in the object information, and then the candidate contract information may be determined by the month and year. For example, since the attendance date of a certain subject is 2022, 5/month and 17 days, contracts whose end date is 5/month and 16 days before and contracts whose start date is 5/month and 18 days after can be excluded, and the remaining contract information can be determined as candidate contract information.

In another example, the contract information may be determined as candidate contract information in response to detecting that the item identification in the contract information coincides with the item identification in the object information.

It should be noted that the item identifier in each contract information indicates the item to which the contract belongs, and the item information and the contract information under each item may be acquired from the item operating system, and the item identifier may include an item name and an item number. The item identifier in each object information indicates an item to which the object belongs, and the item identifier corresponding to each object can be acquired from the attendance system.

It can be understood that when a company develops a plurality of projects, each project can sign a plurality of contracts, if the project to which the object belongs is not consistent with the project to which the contract belongs, the object is identified not to have a corresponding relationship with the contract, so that the contracts with inconsistent project identifications can be excluded in advance, and only the contracts with consistent project identifications can be determined as candidate contract information, so that under the condition of narrowing the range of the candidate contract information, the omission of the contract information possibly having a corresponding relationship with the object can also be avoided.

In operation S332, it is determined whether the start-stop time information in the candidate contract information includes attendance time information in the object information, if so, operation S333 is performed, and if not, operation S334 is performed.

In operation S333, it is determined that the candidate contract information has a correspondence relationship with the object information.

In operation S334, it is determined that the candidate contract information does not have a correspondence with the object information.

For example, since a contract is 2022, i.e., 7/month 1 starts and 7/month 31 ends, the attendance date of the third object is 7/month 10, and the attendance date of the fourth object is 6/month 1, it can be seen that the contract has a correspondence relationship with the third object and does not have a correspondence relationship with the fourth object since the 7/month 1 start and 7/month 31 cover 7/month 10 and 6/month 1.

According to the technical scheme provided by the embodiment of the disclosure, since the candidate contract information for each object information is predetermined, the contract information which is unlikely to have a corresponding relationship with the object information can be excluded in advance, so that the range of the contract information is narrowed, the number of data processing is reduced, and the data processing efficiency is improved.

According to another embodiment of the present disclosure, the above operation of determining the evaluation value of the contract information according to the target object information set may include the operations of: according to the objects in the target object set, a first evaluation value used for representing the loss rate of the objects is determined.

For example, for the first contract, the attendance date of each outsourcing person is the same as the start-stop time information of the first contract, that is, the outsourcing person is not changed, and the stability of the person is high. For the second contract, in which 5 persons leave halfway and 5 persons newly enter halfway, the outsourcing personnel change rate under the contract is high and personnel stability is poor. Therefore, if the first party company pays attention to the stability of the person, and the stability of the person is positively correlated with the first evaluation value, the first evaluation value of the first contract is higher than the first evaluation value of the second contract.

According to another embodiment of the present disclosure, the above operation of determining the evaluation value of the contract information according to the target object information set may include the operations of: and determining a second evaluation value according to the attendance time information in the target object set.

For example, it may be determined that the second evaluation value of the first contract is 1 if the attendance time agreed in the first contract coincides with the attendance time counted in the 15 subjects for the first contract described above. For the second contract described above, the attendance time for the 18 objects in total is 20% less than the attendance time agreed in the second contract. It can be determined that the second evaluation value of the first contract is 0.8. It can be seen that the second evaluation value of the first contract is higher than the second evaluation value of the second contract.

According to another embodiment of the present disclosure, the above operation of determining the evaluation value of the contract information according to the target object information set may include the operations of: a target evaluation value is determined based on the first evaluation value and the second evaluation value. For example, corresponding weights may be set for the first evaluation value and the second evaluation value, and then the weighted sum may be used as the target evaluation value.

According to another embodiment of the present disclosure, the method may further include the operations of: and generating prompt information for representing that the same object information is abnormal in response to the fact that the same object information in the plurality of object information has the corresponding relation with the at least two contract information.

For example, an object information includes attendance time information of an object, so an object information may represent a punch-card record of an object on a certain day. For example, the correspondence relationship between the same object information and at least two contract information may indicate that: a certain object belongs to both contracts simultaneously with a certain day's card-punch record.

It should be noted that, in practical applications, one object may correspond to a plurality of contracts. For example, the first company may make three contracts in 3 months, 4 months and 5 months with a certain second outsourcing company, the three contracts are respectively a third contract, a fourth contract and a fifth contract, and a certain outsourcing person of the external company works in the first company in 3 to 5 months, and it can be seen that the external person can work under the three contracts, and the three contract information corresponds to the object. It should be noted that the same attendance time information in the same object information cannot correspond to multiple contracts, that is, on the same day, the object cannot work under the third contract and the fourth contract at the same time.

Therefore, when it is detected that the same object information has a corresponding relationship with at least two contract information, the prompt information can be generated. The service personnel is prompted to have abnormity in the corresponding relation between the object information and the contract information through the prompt information, and manual checking is needed to accurately determine the contract information corresponding to the object information.

According to the technical scheme provided by the embodiment of the disclosure, the abnormal corresponding relation can be prompted, so that the problem of inaccurate evaluation caused by the wrong corresponding relation is avoided, and the evaluation accuracy is improved.

According to another embodiment of the present disclosure, the method may further include the operations of: and adding contract information having a corresponding relation with each object information in the attendance system.

For example, when it is determined that the attendance time information of the object information matches the start-stop time information of the contract information, the contract identifier is backfilled to the attendance system, and the contract identifier may include a contract name and a contract number, so that the attendance system establishes a corresponding relationship among items, attendance and personnel, and further provides data support for implementing fine management of various institutions and departments.

Based on the quality parameter evaluation method, the disclosure also provides a quality parameter evaluation device. The apparatus will be described in detail below with reference to fig. 4.

Fig. 4 schematically shows a block diagram of the structure of the quality parameter evaluation apparatus according to the embodiment of the present disclosure.

As shown in fig. 4, the quality parameter evaluation apparatus 400 of this embodiment includes a first obtaining module 410, a second obtaining module 420, a first determining module 430, and a second determining module 440.

The first obtaining module 410 is configured to obtain a plurality of contract information, each contract information including start and end time information of a contract. In an embodiment, the first obtaining module 410 may be configured to perform the operation S210 described above, which is not described herein again.

The second obtaining module 420 is configured to obtain a plurality of object information, where each object information includes attendance time information of an object. In an embodiment, the second obtaining module 420 may be configured to perform the operation S220 described above, which is not described herein again.

The first determining module 430 is configured to determine a corresponding relationship between the plurality of contract information and the plurality of object information according to the start-stop time information included in each of the plurality of contract information and the attendance time information included in each of the plurality of object information. In an embodiment, the first determining module 430 may be configured to perform the operation S230 described above, and is not described herein again.

The second determining module 440 is configured to determine, for each contract information of the plurality of contract information, an evaluation value of the contract information according to the target object information set to evaluate the quality parameter; and the target object information set comprises object information which has a corresponding relation with the contract information. In an embodiment, the second determining module 440 may be configured to perform the operation S240 described above, which is not described herein again.

According to another embodiment of the present disclosure, the first determination module includes a first determination sub-module configured to determine, for each of the plurality of object information, candidate contract information from the plurality of contract information, and in a case where it is determined that start-stop time information in the candidate contract information includes attendance time information in the object information, determine that the candidate contract information has a correspondence relationship with the object information.

According to another embodiment of the present disclosure, each contract information further includes an item identification, and each object information further includes an item identification. The first determining sub-module is further used for determining the contract information as candidate contract information in response to detecting that the item identification in the contract information is consistent with the item identification in the object information.

According to another embodiment of the present disclosure, the apparatus further includes a generating module, configured to generate, in response to detecting that the same object information in the plurality of object information has a corresponding relationship with at least two contract information, prompt information for representing that the same object information is abnormal.

According to another embodiment of the disclosure, the second determining module comprises at least one of: a second determination submodule and a third determination submodule. The second determining submodule is used for determining a first evaluation value for representing the attrition rate of the object according to the object in the target object set. And the third determining sub-module is used for determining a second evaluation value according to the attendance time information in the target object set.

According to another embodiment of the present disclosure, the second determination module further includes a fifth determination sub-module for determining the target evaluation value based on the first evaluation value and the second evaluation value.

According to another embodiment of the disclosure, the plurality of object information is from an attendance system, and the apparatus further comprises an adding module for adding contract information having a correspondence relationship with each object information in the attendance system.

According to an embodiment of the present disclosure, any plurality of the first obtaining module 410, the second obtaining module 420, the first determining module 430, and the second determining module 440 may be combined and implemented in one module, or any one of them may be split into a plurality of modules. Alternatively, at least part of the functionality of one or more of these modules may be combined with at least part of the functionality of the other modules and implemented in one module. According to an embodiment of the present disclosure, at least one of the first obtaining module 410, the second obtaining module 420, the first determining module 430, and the second determining module 440 may be implemented at least in part as a hardware circuit, such as a Field Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), a system on a chip, a system on a substrate, a system on a package, an Application Specific Integrated Circuit (ASIC), or may be implemented by hardware or firmware in any other reasonable manner of integrating or packaging a circuit, or implemented by any one of three implementations of software, hardware, and firmware, or any suitable combination of any of them. Alternatively, at least one of the first obtaining module 410, the second obtaining module 420, the first determining module 430 and the second determining module 440 may be at least partially implemented as a computer program module, which when executed, may perform a corresponding function.

As shown in fig. 5, an electronic device 500 according to an embodiment of the present disclosure includes a processor 501 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 502 or a program loaded from a storage section 508 into a Random Access Memory (RAM) 503. The processor 501 may comprise, for example, a general purpose microprocessor (e.g., a CPU), an instruction set processor and/or associated chipset, and/or a special purpose microprocessor (e.g., an Application Specific Integrated Circuit (ASIC)), among others. The processor 501 may also include onboard memory for caching purposes. Processor 501 may include a single processing unit or multiple processing units for performing different actions of a method flow according to embodiments of the disclosure.

In the RAM 503, various programs and data necessary for the operation of the electronic apparatus 500 are stored. The processor 501, the ROM 502, and the RAM 503 are connected to each other by a bus 504. The processor 501 performs various operations of the method flows according to the embodiments of the present disclosure by executing programs in the ROM 502 and/or the RAM 503. Note that the programs may also be stored in one or more memories other than the ROM 502 and the RAM 503. The processor 501 may also perform various operations of method flows according to embodiments of the present disclosure by executing programs stored in the one or more memories.

According to an embodiment of the present disclosure, electronic device 500 may also include an input/output (I/O) interface 505, input/output (I/O) interface 505 also being connected to bus 504. The electronic device 500 may also include one or more of the following components connected to the I/O interface 505: an input portion 506 including a keyboard, a mouse, and the like; an output portion 507 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage portion 508 including a hard disk and the like; and a communication section 509 including a network interface card such as a LAN card, a modem, or the like. The communication section 509 performs communication processing via a network such as the internet. The driver 510 is also connected to the I/O interface 505 as necessary. A removable medium 511 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 510 as necessary, so that a computer program read out therefrom is mounted into the storage section 508 as necessary.

The present disclosure also provides a computer-readable storage medium, which may be embodied in the device/apparatus/system described in the above embodiments; or may exist separately and not be assembled into the device/apparatus/system. The computer-readable storage medium carries one or more programs which, when executed, implement the method according to an embodiment of the disclosure.

According to embodiments of the present disclosure, the computer-readable storage medium may be a non-volatile computer-readable storage medium, which may include, for example but is not limited to: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. For example, according to embodiments of the present disclosure, a computer-readable storage medium may include ROM 502 and/or RAM 503 and/or one or more memories other than ROM 502 and RAM 503 described above.

Embodiments of the present disclosure also include a computer program product comprising a computer program containing program code for performing the method illustrated by the flow chart. When the computer program product runs in a computer system, the program code is used for causing the computer system to realize the item recommendation method provided by the embodiment of the disclosure.

The computer program performs the above-described functions defined in the system/apparatus of the embodiments of the present disclosure when executed by the processor 501. The systems, apparatuses, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the present disclosure.

In one embodiment, the computer program may be hosted on a tangible storage medium such as an optical storage device, a magnetic storage device, or the like. In another embodiment, the computer program may also be transmitted, distributed in the form of a signal on a network medium, downloaded and installed through the communication section 509, and/or installed from the removable medium 511. The computer program containing program code may be transmitted using any suitable network medium, including but not limited to: wireless, wired, etc., or any suitable combination of the foregoing.

In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 509, and/or installed from the removable medium 511. The computer program, when executed by the processor 501, performs the above-described functions defined in the system of the embodiments of the present disclosure. The systems, devices, apparatuses, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the present disclosure.

In accordance with embodiments of the present disclosure, program code for executing computer programs provided by embodiments of the present disclosure may be written in any combination of one or more programming languages, and in particular, these computer programs may be implemented using high level procedural and/or object oriented programming languages, and/or assembly/machine languages. The programming language includes, but is not limited to, programming languages such as Java, C + +, python, the "C" language, or the like. The program code may execute entirely on the user's computing device, partly on the user's device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

It will be appreciated by a person skilled in the art that various combinations or/and combinations of features recited in the various embodiments of the disclosure and/or in the claims may be made, even if such combinations or combinations are not explicitly recited in the disclosure. In particular, various combinations and/or combinations of the features recited in the various embodiments and/or claims of the present disclosure may be made without departing from the spirit or teaching of the present disclosure. All such combinations and/or associations are within the scope of the present disclosure.

The embodiments of the present disclosure have been described above. However, these examples are for illustrative purposes only and are not intended to limit the scope of the present disclosure. Although the embodiments are described separately above, this does not mean that the measures in the embodiments cannot be used in advantageous combination. The scope of the disclosure is defined by the appended claims and equivalents thereof. Various alternatives and modifications can be devised by those skilled in the art without departing from the scope of the present disclosure, and such alternatives and modifications are intended to be within the scope of the present disclosure.

Claims

1. A method of quality parameter assessment, comprising:

acquiring a plurality of contract information, wherein each contract information comprises the start-stop time information of a contract;

acquiring a plurality of object information, wherein each object information comprises attendance time information of an object;

determining a corresponding relation between the plurality of contract information and the plurality of object information according to start-stop time information included in the plurality of contract information and attendance time information included in the plurality of object information; and

determining, for each contract information of the plurality of contract information, an evaluation value of the contract information according to a target object information set to evaluate a quality parameter; wherein the target object information set includes object information having the correspondence with the contract information.

2. The method of claim 1, wherein the determining, from the start-stop time information included in each of the plurality of pieces of contract information and the attendance time information included in each of the plurality of pieces of object information, the correspondence between the plurality of pieces of contract information and the plurality of pieces of object information comprises:

for each object information of the plurality of object information,

determining candidate contract information from the plurality of contract information; and

determining that the candidate contract information and the object information have the corresponding relationship if it is determined that the start-stop time information in the candidate contract information includes attendance time information in the object information.

3. The method of claim 2, wherein said each contract information further comprises an item identification, said each object information further comprises an item identification; the determining candidate contract information from the plurality of contract information comprises:

determining the contract information as the candidate contract information in response to detecting that the item identification in the contract information is consistent with the item identification in the object information.

4. The method of claim 2, further comprising:

and generating prompt information for representing that the same object information is abnormal in response to the fact that the same object information in the plurality of object information and at least two pieces of contract information have the corresponding relation.

5. The method of claim 1, wherein determining the evaluation value of the contract information from the set of target object information comprises at least one of:

determining a first evaluation value for representing the attrition rate of the object according to the object in the target object set; and

and determining a second evaluation value according to the attendance time information in the target object set.

6. The method of claim 5, wherein determining the evaluation value for the contract information from the set of target object information further comprises:

determining a target evaluation value based on the first evaluation value and the second evaluation value.

7. The method of claim 1, wherein the plurality of object information is from an attendance system, the method further comprising:

and adding contract information which has the corresponding relation with each object information in the attendance system.

8. A quality parameter evaluation device comprises a first obtaining module, a second obtaining module, a first determining module and a second determining module.

The first acquisition module is used for acquiring a plurality of contract information, and each contract information comprises the start-stop time information of a contract.

The second acquisition module is used for acquiring a plurality of object information, and each object information comprises attendance time information of an object.

The first determining module is used for determining the corresponding relation between the plurality of contract information and the plurality of object information according to the start-stop time information included in the plurality of contract information and the attendance time information included in the plurality of object information.

The second determining module is used for determining an evaluation value of the contract information according to a target object information set for each contract information in the plurality of contract information so as to evaluate the quality parameter; wherein the target object information set includes object information having the correspondence with the contract information.

9. An electronic device, comprising:

one or more processors;

a storage device for storing one or more programs,

wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the method of any of claims 1-7.

10. A computer readable storage medium having stored thereon executable instructions which, when executed by a processor, cause the processor to perform the method according to any one of claims 1 to 7.

11. A computer program product comprising a computer program which, when executed by a processor, implements the method according to any one of claims 1 to 7.