CN113361956A - Resource quality evaluation method, device, equipment and storage medium for resource producer - Google Patents
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Abstract
The present disclosure provides a resource quality evaluation method, device, equipment and storage medium for a resource producer, which relate to the field of artificial intelligence, in particular to the field of data intelligent search and quality evaluation, and can be applied to the evaluation scene of data quality on the internet. The specific implementation scheme is as follows: extracting an evaluation value of each of a plurality of preset evaluable events from historical resources produced by a resource producer, wherein the plurality of evaluable events at least comprise an evaluable event based on the characteristics of the historical resources and an evaluable event based on user feedback of the historical resources; based on the evaluation value of each of the plurality of preset evaluable events, the method has more evaluation bases and richer types, can determine the fairness and accuracy of the quality evaluation result, and can comprehensively and objectively balance the value of the resources produced by the resource production party, so that the evaluation result is more convincing.
Description
Technical Field
The present disclosure relates to the field of artificial intelligence, and more particularly to the field of data intelligent search and quality evaluation.
Background
At present, a quality evaluation method for resources produced by a resource producer on the internet mainly judges whether the resources produced by the resource producer are high-quality from the perspective of a user (a resource user).
Disclosure of Invention
The disclosure provides a resource quality evaluation method, device, equipment and storage medium of a resource producer.
According to an aspect of the present disclosure, there is provided a resource quality evaluation method of a resource producer, including:
extracting an evaluation value of each evaluable event in a plurality of preset evaluable events from historical resources produced by a resource producer, wherein the evaluable events at least comprise evaluable events based on the characteristics of the historical resources and evaluable events based on user feedback of the historical resources;
calculating a target evaluation value of the historical resource based on the evaluation value of each of the plurality of preset evaluable events;
determining a quality level of the historical resource based on the target evaluation value.
According to another aspect of the present disclosure, there is provided a resource quality evaluation apparatus of a resource producer, including:
an evaluation value extraction module, configured to extract an evaluation value of each of a plurality of preset evaluable events from a historical resource produced by a resource producer, where the plurality of evaluable events at least include an evaluable event based on a feature of the historical resource and an evaluable event based on a user feedback of the historical resource;
a target evaluation value calculation module, configured to calculate a target evaluation value of the historical resource based on an evaluation value of each of the preset evaluable events;
and the resource quality determination module is used for determining the quality level of the historical resource based on the target evaluation value.
According to another aspect of the present disclosure, there is provided an electronic device including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method for resource quality assessment of a resource producer described above.
According to another aspect of the present disclosure, there is provided a non-transitory computer-readable storage medium storing computer instructions for causing the computer to execute the above-described resource quality evaluation method of a resource producer.
According to another aspect of the present disclosure, there is provided a computer program product comprising a computer program which, when executed by a processor, implements the resource quality evaluation method of the resource producer described above.
It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present disclosure, nor do they limit the scope of the present disclosure. Other features of the present disclosure will become apparent from the following description.
The technical scheme provided by the disclosure has the following beneficial effects:
the scheme provided by the implementation of the disclosure evaluates the quality of the resources produced by the resource producer by taking the evaluable events based on the characteristics of the historical resources and the evaluable events based on the user feedback of the historical resources as evaluation bases. Because the number of the evaluation basis is more and the types are richer, the fairness and the accuracy of the quality evaluation result can be determined, the value of the resources produced by the resource production party can be comprehensively and objectively weighed, and the evaluation result is more convincing.
Drawings
The drawings are included to provide a better understanding of the present solution and are not to be construed as limiting the present disclosure. Wherein:
fig. 1 is a schematic flowchart illustrating a resource quality evaluation method of a resource producer according to an embodiment of the present disclosure;
FIG. 2 is a flow chart of another resource quality evaluation method of a resource producer according to an embodiment of the disclosure;
fig. 3 shows one of the schematic structural diagrams of a resource quality evaluation device of a resource producer according to an embodiment of the present disclosure;
fig. 4 shows a second schematic structural diagram of a resource quality evaluation apparatus of a resource producer according to an embodiment of the present disclosure;
FIG. 5 shows a schematic block diagram of an example electronic device that may be used to implement the resource quality assessment method of a resource producer of embodiments of the present disclosure.
Detailed Description
Exemplary embodiments of the present disclosure are described below with reference to the accompanying drawings, in which various details of the embodiments of the disclosure are included to assist understanding, and which are to be considered as merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
At present, a quality evaluation method for resources produced by a resource producer on the internet is mainly used for judging whether the resources produced by the resource producer are high-quality from the perspective of a user (a resource user), the evaluation basis used by the existing evaluation mode is single, the value of the resources produced by the resource producer cannot be comprehensively and objectively weighed, the operation strategy for the resource producer is adjusted according to the current evaluation mode, the resource producer cannot be convincing, and the enthusiasm of the resource producer for generating the resources is easily struck.
The resource quality evaluation method, device, equipment and storage medium of the resource producer provided by the embodiment of the disclosure aim to solve at least one of the above technical problems in the prior art.
Fig. 1 shows a schematic flow chart of a resource quality evaluation method of a resource producer according to an embodiment of the present disclosure, and as shown in fig. 1, the method mainly includes the following steps:
s110: an evaluation value of each of a plurality of preset evaluable events is extracted from a history resource produced by a resource producer.
In the embodiment of the present disclosure, the resource producer may be any object capable of publishing the resource in at least one channel of the internet, for example, the resource producer may be a webmaster of a certain website, a blogger of a forum, and the like, and the resource produced by the resource producer may be an article, a document, a video, a picture, a language, and the like. The disclosed embodiments refer to the objects that browse, use, or download these resources on the internet as users.
In an embodiment of the disclosure, the plurality of evaluable events includes at least an evaluable event based on characteristics of the historical resource, an evaluable event based on user feedback of the historical resource. Here, an evaluable event based on the characteristics of the history resource is an event set to evaluate the quality of the history resource based on some characteristics possessed by the history resource itself; the user feedback based on the historical resources is an event which is set based on data fed back to the historical resources by the user and used for evaluating the quality of the historical resources.
Optionally, the evaluable events based on the characteristics of the historical resources include events related to data base quality of the historical resources, events related to data content quality of the historical resources, events related to data authority of the historical resources, and events related to data user experience of the historical resources. More types of evaluable events are set, and more comprehensive evaluation on the resource quality from multiple dimensions is ensured.
Optionally, the evaluable events based on the user feedback of the historical resources include events related to user browsing behavior of the historical resources.
In the embodiment of the disclosure, for each of a plurality of preset evaluable events, the occurrence probability of the evaluable event may be determined based on the historical resources produced by the resource producer; and taking the occurrence probability of each evaluable event in a plurality of preset evaluable events as the evaluation value of each evaluable event. The occurrence probability of the evaluable event is used as an evaluable event score value, so that the quality stability of the historical resources can be objectively reflected, and the reasonability of the evaluation result is ensured.
S120: a target evaluation value of the historical resource is calculated based on an evaluation value of each of a plurality of preset evaluable events.
In the disclosed embodiment, the evaluation value of each evaluable event is the occurrence probability of the evaluable event. Therefore, the information entropy of the history resource can be calculated based on the occurrence probability of each of a plurality of preset evaluable events, and the information entropy can be determined as the target evaluation value of the history resource. The information entropy is often used as a quantitative index of the information content of a system, and thus can be further used as a target for system equation optimization or a criterion for parameter selection. Considering that the types and the number of the evaluable events are large, so that the uncertain factors in the evaluation are large, the information entropy is introduced to serve as the final evaluation basis of the resource quality evaluation, and the objectivity of the evaluation result is ensured.
S130: the quality level of the history resource is determined based on the target evaluation value.
In the embodiment of the present disclosure, a plurality of evaluation value sections may be preset, and different evaluation value sections correspond to different quality levels. For example, 5 evaluation value sections may be preset, and the corresponding quality levels are deep high value, general value, low value and no value, and it is understood that the number of evaluation value sections, the numerical range of the evaluation value sections, and the specific quality level provided in the embodiments of the present disclosure may be determined based on actual design needs, and are not limited specifically herein. In the disclosed embodiment, an evaluation value section in which the target evaluation value is located may be determined; and determining the quality grade corresponding to the determined evaluation value interval as the quality grade of the historical resource.
In the embodiment of the present disclosure, before step S130, an operation policy for the resource producer may also be determined based on the quality level of the historical resource; the operation strategy comprises a right and interest allocation strategy aiming at the resource producer and a recommendation strategy aiming at the resource produced by the resource producer.
The resource quality evaluation method for the resource producer is implemented and provided, and the quality of the resource produced by the resource producer is evaluated by taking an evaluable event based on the characteristics of the historical resource and an evaluable event based on the user feedback of the historical resource as evaluation bases. Because the number of the evaluation basis is more and the types are richer, the fairness and the accuracy of the quality evaluation result can be determined, the value of the resources produced by the resource production party can be comprehensively and objectively weighed, and the evaluation result is more convincing.
Fig. 2 shows a schematic flow chart of another resource quality evaluation method of a resource producer according to an embodiment of the present disclosure, and as shown in fig. 2, the method mainly includes the following steps:
s210: for each of a plurality of preset evaluable events, determining an occurrence probability of the evaluable event based on historical resources produced by a resource producer.
As previously described, the evaluable events based on the characteristics of the historical resource include events related to the data base quality of the historical resource, events related to the data content quality of the historical resource, events related to the data authority of the historical resource, and events related to the data user experience of the historical resource.
Optionally, the event related to the data base quality of the historical resource is an event used for characterizing whether the historical resource has a problem, wherein the event related to the data base quality of the historical resource may include an event that a dead link occurs in the data of the historical resource, an event that a blank short occurs in the data of the historical resource, an event that the data of the historical resource is low in value, an event that the data of the historical resource is cheated, a subjective malicious event occurs in the data of the historical resource, and the like.
Optionally, the event related to the data content quality of the historical resource is an event used for characterizing the data investment of the resource generator on the historical resource, where the event related to the data content quality of the historical resource may include an event that the number of pictures of each file in the historical resource exceeds a preset number, an event that the number of characters of each file in the historical resource exceeds a preset number, an event that the number of the files in the historical resource enjoys the user exceeds a preset number, an event that the number of the files in the historical resource gets the user steps on exceeds a preset number, an event that the number of the files in the historical resource gets the user replies exceeds a preset number, and the like.
Optionally, the event related to the data authority of the historical resource is an event whether the data of the historical resource is authorized/authenticated, wherein the event related to the data authority of the historical resource may include an event that the data of each file in the historical resource is official website/official data, an event that the data of each file in the historical resource is original, an event that the data of each file in the historical resource is unique, an event that the data of each file in the historical resource is recorded by ICP, and the like.
Optionally, the event related to the data user experience of the historical resource is an event for characterizing whether the historical resource considers the user experience. Wherein, the event related to the data user experience of the historical resources may include an event that the composition/layout/style of the data of each file in the historical resources is beautiful, an event that a pop-up/advertisement exists for each file in the historical resources, and the like.
As previously described, the evaluable events based on the user feedback of the historical resources include events related to user browsing behavior of the historical resources. The events related to the user browsing behavior of the historical resources are events for describing the recognition degree of the user on the historical resources, and may include events in which the number of times that each file in the historical resources is clicked by the user exceeds a preset number, and events in which the number of times that each file in the historical resources is displayed exceeds a preset number.
S220: and taking the occurrence probability of each evaluable event in a plurality of preset evaluable events as the evaluation value of each evaluable event.
Taking the event that the data of the historical resources appears dead link as an example, assuming that the historical resources include 10 resource files, wherein the probability of the event that the data of the historical resources appears dead link is 60% if the 6 resource files appear dead link, and the determination manner of the occurrence probability of other evaluable events can be determined according to the actual situation, which is not described herein.
S230: and calculating the information entropy of the historical resources based on the occurrence probability of each of a plurality of preset evaluable events.
Alternatively, the information entropy of the history resource can be calculated by the following formula 1:
in formula 1, h (x) is the information entropy of the historical resource, p (xi) is the occurrence probability of the evaluable event i, and n is the total number of evaluable events.
S240: and determining the information entropy as a target evaluation value of the historical resource.
S250: and determining an evaluation value interval in which the target evaluation value is positioned.
In the present disclosure, a plurality of evaluation value sections may be preset, and it is understood that the number of the evaluation value sections and the numerical range of the evaluation value sections are set based on actual design requirements, and this step may determine the evaluation value section in which the target evaluation value is specifically located.
S260: and determining the quality grade corresponding to the evaluation value interval as the quality grade of the historical resource.
In the embodiment of the present disclosure, different evaluation value sections correspond to different quality levels. For example, 5 evaluation value intervals may be preset, and the corresponding quality levels are deep high value, general value, low value and no value, and it is understood that the specific quality level set in the embodiment of the present disclosure may be determined based on actual design needs, and is not limited specifically herein. In the disclosed embodiment, an evaluation value section in which the target evaluation value is located may be determined; and determining the quality grade corresponding to the evaluation value interval as the quality grade of the historical resource.
S270: an operating policy for a resource producer is determined based on a quality level of the historical resource.
In the embodiment of the present disclosure, the operation policy includes a rights allocation policy for the resource producer, and a recommendation policy for the resource produced by the resource producer.
Optionally, the equity allocation policy for the resource producer is a policy of supporting or suppressing the equity of the resource producer. For example, if the quality level of the historical resources of the resource producer is higher, the rights and interests of the resource producer can be supported; if the quality level of the historical resources of the resource producer is lower, the rights and interests of the resource producer can be suppressed.
Optionally, the recommendation policy for the resource produced by the resource producer is a policy for recording, recommending and sorting the resource produced by the resource producer at the user side. For example, if the quality level of the historical resources of the resource producer is higher, the sorting order of the resources produced by the resource producer at the user terminal can be improved; if the quality grade of the historical resources of the resource producer is lower, the sequencing order of the resources produced by the resource producer on the user side can be reduced.
Based on the same principle as the resource quality evaluation method of the resource producing side, fig. 3 shows one of the schematic structural diagrams of the resource quality evaluation device of the resource producing side according to the embodiment of the present disclosure, and fig. 4 shows the other schematic structural diagram of the resource quality evaluation device of the resource producing side according to the embodiment of the present disclosure. As shown in fig. 3, the resource quality evaluation device 30 of the resource producer includes an evaluation value extraction module 310, a target evaluation value calculation module 320, and a resource quality determination module 330.
The evaluation value extraction module 310 is configured to extract an evaluation value of each of a plurality of preset evaluable events from the historical resources produced by the resource producer, where the plurality of evaluable events at least include an evaluable event based on features of the historical resources and an evaluable event based on user feedback of the historical resources.
The target evaluation value calculation module 320 is configured to calculate a target evaluation value of the historical resource based on an evaluation value of each of a plurality of preset evaluable events.
The resource quality determination module 330 is configured to determine a quality level of the historical resource based on the target evaluation value.
The disclosed resource quality evaluation device for a resource producer evaluates the quality of a resource produced by the resource producer based on an evaluable event based on characteristics of a historical resource and an evaluable event based on user feedback of the historical resource as evaluation criteria. Because the number of the evaluation basis is more and the types are richer, the fairness and the accuracy of the quality evaluation result can be determined, the value of the resources produced by the resource production party can be comprehensively and objectively weighed, and the evaluation result is more convincing.
In the embodiment of the present disclosure, the evaluation value extraction module 310, when configured to extract the evaluation value of each of the multiple preset evaluable events from the historical resources produced by the resource producer, is specifically configured to:
for each of a plurality of preset evaluable events, determining the occurrence probability of the evaluable event based on historical resources produced by a resource producer;
and taking the occurrence probability of each evaluable event in a plurality of preset evaluable events as the evaluation value of each evaluable event.
In the embodiment of the present disclosure, the evaluation value of each evaluable event is the occurrence probability of the evaluable event;
the target evaluation value calculation module 320, when configured to calculate a target evaluation value of a historical resource based on an evaluation value of each of a plurality of preset evaluable events, is specifically configured to:
calculating the information entropy of the historical resources based on the occurrence probability of each of a plurality of preset evaluable events;
and determining the information entropy as a target evaluation value of the historical resource.
In the embodiment of the present disclosure, the resource quality determination module 330, when configured to determine the quality level of the historical resource based on the target evaluation value, is specifically configured to:
determining an evaluation value interval where a target evaluation value is located;
and determining the quality grade corresponding to the evaluation value interval as the quality grade of the historical resource.
In the disclosed embodiments, the evaluable events based on the characteristics of the historical resources include events related to data base quality of the historical resources, events related to data content quality of the historical resources, events related to data authority of the historical resources, and events related to data user experience of the historical resources.
In the disclosed embodiments, the evaluable events based on the user feedback of the historical resources include events related to user browsing behavior of the historical resources.
In the embodiment of the present disclosure, as shown in fig. 4, the resource quality evaluation apparatus 30 of the resource producer further includes a policy determination module 340, and the policy determination module 340 is configured to: determining an operation strategy for a resource producer based on the quality level of the historical resource; the operation strategy comprises a right and interest allocation strategy aiming at the resource producer and a recommendation strategy aiming at the resource produced by the resource producer.
It can be understood that each of the modules of the resource quality evaluation device of the resource producer in the embodiment of the present disclosure has a function of implementing the corresponding step of the resource quality evaluation method of the resource producer. The function can be realized by hardware, and can also be realized by executing corresponding software by hardware. The hardware or software includes one or more modules corresponding to the functions described above. The modules can be software and/or hardware, and each module can be implemented independently or by integrating a plurality of modules. For the functional description of each module of the resource quality evaluation apparatus of the resource producer, reference may be made to the corresponding description of the resource quality evaluation method of the resource producer, and details are not repeated here.
It should be noted that, in the technical solution of the present disclosure, the acquisition, storage, application, and the like of the personal information of the related user all conform to the regulations of the relevant laws and regulations, and do not violate the customs of the public order.
The present disclosure also provides an electronic device, a readable storage medium, and a computer program product according to embodiments of the present disclosure.
FIG. 5 shows a schematic block diagram of an example electronic device that may be used to implement the resource quality assessment method of a resource producer of embodiments of the present disclosure. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be examples only, and are not meant to limit implementations of the disclosure described and/or claimed herein.
As shown in fig. 5, the apparatus 500 comprises a computing unit 501 which may perform various appropriate actions and processes in accordance with a computer program stored in a Read Only Memory (ROM)502 or a computer program loaded from a storage unit 508 into a Random Access Memory (RAM) 503. In the RAM 503, various programs and data required for the operation of the device 500 can also be stored. The calculation unit 501, the ROM 502, and the RAM 503 are connected to each other by a bus 504. An input/output (I/O) interface 505 is also connected to bus 504.
A number of components in the device 500 are connected to the I/O interface 505, including: an input unit 506 such as a keyboard, a mouse, or the like; an output unit 507 such as various types of displays, speakers, and the like; a storage unit 508, such as a magnetic disk, optical disk, or the like; and a communication unit 509 such as a network card, modem, wireless communication transceiver, etc. The communication unit 509 allows the device 500 to exchange information/data with other devices through a computer network such as the internet and/or various telecommunication networks.
The computing unit 501 may be a variety of general-purpose and/or special-purpose processing components having processing and computing capabilities. Some examples of the computing unit 501 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various dedicated Artificial Intelligence (AI) computing chips, various computing units running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, and so forth. The calculation unit 501 executes the respective methods and processes described above, such as the resource quality evaluation method of the resource producer. For example, in some embodiments, the resource quality assessment method of a resource producer may be implemented as a computer software program tangibly embodied in a machine-readable medium, such as storage unit 508. In some embodiments, part or all of the computer program may be loaded and/or installed onto the device 500 via the ROM 502 and/or the communication unit 509. When the computer program is loaded into the RAM 503 and executed by the computing unit 501, one or more steps of the resource quality assessment method of the resource producer described above may be performed. Alternatively, in other embodiments, the computing unit 501 may be configured in any other suitable way (e.g., by means of firmware) to perform the resource quality assessment method of the resource producer.
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, Field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), system on a chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.
Program code for implementing the methods of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the program codes, when executed by the processor or controller, cause the functions/operations specified in the flowchart and/or block diagram to be performed. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, 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), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), Wide Area Networks (WANs), and the Internet.
The computer system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server may be a cloud server, a server of a distributed system, or a server with a combined blockchain.
It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present disclosure may be executed in parallel or sequentially or in different orders, and are not limited herein as long as the desired results of the technical solutions disclosed in the present disclosure can be achieved.
The above detailed description should not be construed as limiting the scope of the disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present disclosure should be included in the scope of protection of the present disclosure.
Claims (17)
1. A resource quality evaluation method of a resource producer comprises the following steps:
extracting an evaluation value of each evaluable event in a plurality of preset evaluable events from historical resources produced by a resource producer, wherein the evaluable events at least comprise evaluable events based on the characteristics of the historical resources and evaluable events based on user feedback of the historical resources;
calculating a target evaluation value of the historical resource based on the evaluation value of each of the plurality of preset evaluable events;
determining a quality level of the historical resource based on the target evaluation value.
2. The method of claim 1, wherein the extracting the rating value of each of the plurality of pre-set rated events from the historical resources produced by the resource producer comprises:
for each of a plurality of preset evaluable events, determining the occurrence probability of the evaluable event based on historical resources produced by a resource producer;
and taking the occurrence probability of each evaluable event in the plurality of preset evaluable events as the evaluation value of each evaluable event.
3. The method of claim 1, wherein the rating value of each evaluable event is an occurrence probability of the evaluable event;
the calculating a target evaluation value of the historical resource based on the evaluation value of each of the plurality of preset evaluable events includes:
calculating the information entropy of the historical resource based on the occurrence probability of each of the plurality of preset evaluable events;
and determining the information entropy as a target evaluation value of the historical resource.
4. The method of claim 1, wherein the determining a quality level of the historical resource based on the target rating value comprises:
determining an evaluation value interval where the target evaluation value is located;
and determining the quality grade corresponding to the evaluation value interval as the quality grade of the historical resource.
5. The method according to any one of claims 1 to 4, wherein the evaluable events based on the characteristics of the historical resources include events related to data base quality of the historical resources, events related to data content quality of the historical resources, events related to data authority of the historical resources, and events related to data user experience of the historical resources.
6. The method of any of claims 1-4, wherein the evaluable events of the historical resource-based user feedback include events related to user browsing behavior of the historical resource.
7. The method according to any one of claims 1 to 4, wherein, after said determining a quality level of the historical resource based on the target evaluation value, further comprising:
determining an operation policy for the resource producer based on the quality level of the historical resource, wherein the operation policy comprises a rights allocation policy for the resource producer, a recommendation policy for the resource produced by the resource producer.
8. A resource quality evaluation device of a resource producer includes:
an evaluation value extraction module, configured to extract an evaluation value of each of a plurality of preset evaluable events from a historical resource produced by a resource producer, where the plurality of evaluable events at least include an evaluable event based on a feature of the historical resource and an evaluable event based on a user feedback of the historical resource;
a target evaluation value calculation module, configured to calculate a target evaluation value of the historical resource based on an evaluation value of each of the preset evaluable events;
and the resource quality determination module is used for determining the quality level of the historical resource based on the target evaluation value.
9. The apparatus according to claim 8, wherein the evaluation value extraction module, when configured to extract the evaluation value of each of the plurality of preset evaluable events from the historical resources produced by the resource producer, is specifically configured to:
for each of a plurality of preset evaluable events, determining the occurrence probability of the evaluable event based on historical resources produced by a resource producer;
and taking the occurrence probability of each evaluable event in the plurality of preset evaluable events as the evaluation value of each evaluable event.
10. The apparatus of claim 8, wherein the rating value of each evaluable event is an occurrence probability of the evaluable event;
the target evaluation value calculation module, when configured to calculate the target evaluation value of the historical resource based on the evaluation value of each of the plurality of preset evaluable events, is specifically configured to:
calculating the information entropy of the historical resource based on the occurrence probability of each of the plurality of preset evaluable events;
and determining the information entropy as a target evaluation value of the historical resource.
11. The apparatus of claim 8, wherein the resource quality determination module, when configured to determine the quality level of the historical resource based on the target evaluation value, is specifically configured to:
determining an evaluation value interval where the target evaluation value is located;
and determining the quality grade corresponding to the evaluation value interval as the quality grade of the historical resource.
12. The apparatus according to any one of claims 8 to 11, wherein the evaluable events based on the characteristics of the historical resources include events related to data base quality of the historical resources, events related to data content quality of the historical resources, events related to data authority of the historical resources, events related to data user experience of the historical resources.
13. The apparatus of any of claims 8 to 11, wherein the evaluable events of the historical resource-based user feedback include events related to user browsing behavior of the historical resource.
14. The apparatus of any of claims 8 to 11, a policy determination module to:
determining an operation policy for the resource producer based on the quality level of the historical resource, wherein the operation policy comprises a rights allocation policy for the resource producer, a recommendation policy for the resource produced by the resource producer.
15. An electronic device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-7.
16. A non-transitory computer readable storage medium having stored thereon computer instructions for causing the computer to perform the method of any one of claims 1-7.
17. A computer program product comprising a computer program which, when executed by a processor, implements the method according to any one of claims 1-7.
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