CN114443869A

CN114443869A - Data processing method, data processing device, computer equipment and medium

Info

Publication number: CN114443869A
Application number: CN202210072617.9A
Authority: CN
Inventors: 刘兆峰; 李银辉; 李德智; 张玕
Original assignee: Beijing Dajia Internet Information Technology Co Ltd
Current assignee: Beijing Dajia Internet Information Technology Co Ltd
Priority date: 2022-01-21
Filing date: 2022-01-21
Publication date: 2022-05-06

Abstract

The present disclosure relates to a data processing method, apparatus, computer device and medium, and belongs to the field of internet technology, the method comprising: the method comprises the steps of presenting a quality evaluation entry of a first media resource, presenting a quality evaluation page of the first media resource based on the quality evaluation entry, and presenting quality evaluation information and a resource modification control of the first media resource in the quality evaluation page. In the embodiment of the disclosure, the quality evaluation information and the resource modification control of the first media resource are displayed in the quality evaluation page, so that the information amount displayed by the quality evaluation page is increased, a user can clearly know the target resource content which does not meet the quality condition in the first media resource, and then the displayed resource modification control can modify the target resource content in a targeted manner, so that the user can obtain the media resource which is beneficial to improving the recommendation effect, and the recommendation effect of the media resource is improved.

Description

Data processing method, data processing device, computer equipment and medium

Technical Field

The present disclosure relates to the field of internet technologies, and in particular, to a data processing method and apparatus, a computer device, and a medium.

Background

With the rapid development of internet technology and the gradual expansion of network user scale, it has become a common way to promote a product or service by recommending media resources to network users. For a user who issues a media resource, how to obtain the media resource which is beneficial to improving a recommendation effect is an urgent problem to be solved.

Disclosure of Invention

The present disclosure provides a data processing method, apparatus, computer device, and medium, which can obtain media resources that are beneficial to improving recommendation effects. The technical scheme of the disclosure is as follows:

according to a first aspect of embodiments of the present disclosure, there is provided a data processing method, including:

presenting a quality assessment portal for the first media asset;

displaying a quality assessment page of the first media resource based on the quality assessment entry;

and displaying quality evaluation information and a resource modification control of the first media resource in the quality evaluation page, wherein the quality evaluation information comprises information for indicating that target resource content corresponding to the first media resource does not meet a quality condition, and the resource modification control is used for triggering modification of the target resource content.

In the embodiment of the disclosure, the quality evaluation information and the resource modification control of the first media resource are displayed in the quality evaluation page, so that the information amount displayed by the quality evaluation page is increased, a user can clearly know the target resource content which does not meet the quality condition in the first media resource, and then the displayed resource modification control can modify the target resource content in a targeted manner, so that the user can obtain the media resource which is beneficial to improving the recommendation effect, and the recommendation effect of the media resource is improved.

In some embodiments, the quality assessment information includes a parameter value corresponding to at least one quality assessment parameter;

the displaying the quality evaluation information of the first media resource comprises:

and showing a parameter value corresponding to at least one quality evaluation parameter of the first media resource, wherein the at least one quality evaluation parameter is used for carrying out quality evaluation on the first media resource in at least one dimension.

In the embodiment of the disclosure, the information quantity displayed on the quality evaluation page is increased by displaying the parameter value corresponding to at least one quality evaluation parameter, and the quality evaluation parameters meeting or not meeting the quality condition can be definitely known through the parameter values corresponding to the quality evaluation parameters, so that the subsequent resource modification process is performed on the quality evaluation parameters not meeting the quality condition, and the human-computer interaction efficiency is improved.

In some embodiments, the method further comprises:

and displaying a target proportion corresponding to the at least one quality evaluation parameter, wherein the target proportion represents the proportion of a second media resource in the media resources of the same category, and the parameter value of the quality evaluation parameter of the second media resource is lower than that of the quality evaluation parameter of the first media resource.

In the embodiment of the disclosure, the information amount displayed on the quality evaluation page is increased by displaying the target proportion corresponding to each quality evaluation parameter, so that a user can timely know the quality condition of the first media resource in the same type of media resource, and the human-computer interaction efficiency is improved.

In some embodiments, the method further comprises:

presenting an integrated quality level of the first media resource, the integrated quality level being determined based on the parameter value of the at least one quality assessment parameter.

In the embodiment of the disclosure, the information quantity displayed on the quality evaluation page is increased by displaying the comprehensive quality grade, so that a user can know the comprehensive quality of the first media resource at the first time, and the man-machine interaction efficiency is improved.

In some embodiments, the method further comprises at least one of:

displaying a resource publishing control, wherein the resource publishing control is used for triggering the first media resource to be published;

displaying a re-evaluation control for triggering re-evaluation of the first media asset;

and displaying a task deleting control, wherein the task deleting control is used for triggering deletion of the evaluation task of the first media resource.

In the embodiment of the disclosure, by displaying the various types of operation controls, a user can execute a corresponding operation flow through the corresponding operation control, and the human-computer interaction efficiency is improved.

In some embodiments, the quality assessment information includes quality assessment information corresponding to at least one sub-parameter under the quality assessment parameter;

and in response to the viewing operation of any one quality evaluation parameter in the at least one quality evaluation parameter, presenting the quality evaluation information of at least one sub-parameter under the quality evaluation parameter.

In the embodiment of the disclosure, by displaying at least one sub-parameter under each quality evaluation parameter, the information amount displayed on the quality evaluation page is increased, more specific and refined quality evaluation information can be provided for a user, and the user can further and definitely know the part meeting or not meeting the quality condition, so that the process of subsequent resource modification is performed on the quality evaluation parameter not meeting the quality condition, and the human-computer interaction efficiency is improved.

In some embodiments, presenting the quality assessment information for at least one sub-parameter under the quality assessment parameter comprises:

and displaying the quality evaluation information of at least one sub-parameter under the quality evaluation parameter in a label form.

In the embodiment of the disclosure, the display style of each sub-parameter is enriched, and the display effect of each sub-parameter is improved.

In some embodiments, the at least one sub-parameter includes at least one of a first sub-parameter, a second sub-parameter, a third sub-parameter, a fourth sub-parameter, a fifth sub-parameter, and a sixth sub-parameter, where the first sub-parameter is used to indicate a picture clarity of the first media resource, the second sub-parameter is used to indicate a sound quality clarity of the first media resource, the third sub-parameter is used to indicate an information completeness of the first media resource, the fourth sub-parameter is used to indicate a matching degree of the first media resource with corresponding resource introduction information, the fifth sub-parameter is used to indicate a matching degree of the first media resource with a corresponding category, and the sixth sub-parameter is used to indicate whether resource content of the first media resource meets a content requirement.

In the embodiment of the disclosure, by setting various types of sub-parameters, more specific and detailed quality assessment information can be provided for a user, so that the user can further and definitely know the parts meeting or not meeting the quality conditions, and then follow-up resource modification process is performed on the quality assessment parameters not meeting the quality conditions, thereby improving the man-machine interaction efficiency.

In some embodiments, the at least one quality assessment parameter includes at least one of a content quality parameter indicative of a content quality of the first media asset, a recommendation quality parameter indicative of a recommendation effect of the first media asset, a degree of similarity parameter indicative of a degree of similarity between the first media asset and a published media asset.

According to the embodiment of the disclosure, the first media resource can be evaluated from multiple dimensions by setting multiple types of quality evaluation parameters, so that the comprehensiveness and accuracy of evaluating the first media resource are improved.

In some embodiments, the content quality parameter is determined based on a first quality model for evaluating content quality of the first media asset based on asset content of the first media asset, the recommendation quality parameter is determined based on a second quality model for evaluating a recommendation effectiveness of the first media asset based on asset content of the first media asset, the similarity degree parameter is determined based on a third quality model for evaluating a degree of similarity between the first media asset and a published media asset based on asset content of the first media asset.

In the embodiment of the disclosure, each quality model is applied, and the first media resource is evaluated according to core indexes such as material impression, recommendation effect and the like of the media resource, so that usability suggestions are provided for a user, and the recommendation effect of the media resource is improved.

In some embodiments, prior to presenting the quality assessment page for the first media asset, the method further comprises:

receiving the content quality parameter, the recommended quality parameter and the similarity parameter returned by the server;

the server is configured to input the first media resource into the first quality model, evaluate the content quality of the first media resource through the first quality model to obtain a content quality parameter of the first media resource, input the first media resource into the second quality model, evaluate the recommendation effect of the first media resource through the second quality model to obtain a recommendation quality parameter of the first media resource, input the first media resource into the third quality model, and evaluate the similarity between the first media resource and the issued media resource through the third quality model to obtain a similarity parameter of the first media resource.

In some embodiments, the quality assessment information further includes information indicating resource content in the first media resource that meets a quality condition.

In the embodiment of the disclosure, the information amount displayed on the quality evaluation page is increased by prompting the part of the first media resource, which meets the quality condition, so that the user can know the quality advantage of the first media resource, and therefore, in the subsequent media resource manufacturing process, the media resource can be manufactured according to the known quality advantage, the part of the first media resource, which does not meet the quality condition, is avoided, and the recommendation effect of the media resource is improved.

In some embodiments, the quality assessment information is provided as a modification suggestion prompt;

and displaying a modification suggestion prompt of the first media resource, wherein the modification suggestion prompt is used for prompting to modify the target resource content corresponding to the first media resource.

In the embodiment of the disclosure, the information quantity displayed on the quality evaluation page is increased by displaying the modification suggestion prompt, so that a user can clearly know the part to be modified, and the man-machine interaction efficiency is improved.

In some embodiments, the quality assessment information includes a parameter value corresponding to at least one effect comparison parameter;

and displaying a parameter value corresponding to at least one effect comparison parameter of the first media resource, wherein the at least one effect comparison parameter is used for comparing the first media resource with the media resources in the same category in at least one dimension.

In the embodiment of the disclosure, the information amount displayed on the quality evaluation page is increased by displaying the parameter value corresponding to the at least one effect comparison parameter, so that a user can timely know the advantages of the first media resource in the same category, and the human-computer interaction efficiency is improved.

In some embodiments, the method further comprises:

and displaying the data value of the first media resource in the at least one dimension, and displaying the average data value of the media resources in the same category in the at least one dimension.

In the embodiment of the disclosure, the data values in all dimensions are displayed, so that the information quantity displayed by the quality evaluation page is increased, a user can timely know the effect comparison condition of the first media resource in all dimensions, and the man-machine interaction efficiency is improved.

In some embodiments, the method further comprises:

the step of presenting the quality assessment entry of the first media asset is performed in at least one of a first stage, a second stage and a third stage of the first media asset, where the first stage represents a stage to be recommended of the first media asset, the second stage represents a medium-stage recommendation stage of the first media asset, and the third stage represents a late-stage recommendation stage of the first media asset.

In the embodiment of the disclosure, the user can know the part of the first media resource which does not meet the quality condition in the full link of the to-be-recommended stage, the medium-recommending stage and the after-recommending stage of the first media resource, so that the user can modify the media resource in a targeted manner, and the recommending effect of the media resource is improved.

In some embodiments, the method further comprises:

and displaying the quality evaluation information associated with the recommendation stage based on the recommendation stage in which the first media resource is located.

According to a second aspect of the embodiments of the present disclosure, there is provided a data processing apparatus including:

a portal presentation unit configured to perform a quality assessment portal presenting a first media asset;

a page presentation unit configured to perform presentation of a quality assessment page of the first media asset based on the quality assessment entry;

and the information presentation unit is configured to perform presentation of quality evaluation information and a resource modification control of the first media resource in the quality evaluation page, wherein the quality evaluation information includes information used for indicating that target resource content corresponding to the first media resource does not meet a quality condition, and the resource modification control is used for triggering modification of the target resource content.

the information display unit includes:

a parameter value presentation subunit configured to perform presentation of a parameter value corresponding to at least one quality assessment parameter of the first media asset, the at least one quality assessment parameter being used for quality assessment of the first media asset in at least one dimension.

In some embodiments, the apparatus further comprises a scale display unit configured to perform:

In some embodiments, the apparatus further comprises a level presentation unit configured to perform:

In some embodiments, the apparatus further comprises a control presentation unit configured to perform at least one of:

the information display unit includes:

and the information presentation subunit is configured to perform a viewing operation on any one of the at least one quality assessment parameter, and present the quality assessment information of the at least one sub-parameter under the quality assessment parameter.

In some embodiments, the information presentation subunit is configured to perform:

In some embodiments, the apparatus further comprises:

a receiving unit configured to execute receiving the content quality parameter, the recommendation quality parameter and the similarity degree parameter returned by the server;

the information display unit includes:

and the prompt display subunit is configured to execute a modification suggestion prompt for displaying the first media resource, wherein the modification suggestion prompt is used for prompting to modify the target resource content corresponding to the first media resource.

the information display unit includes:

a parameter value presentation subunit configured to perform presentation of a parameter value corresponding to at least one effect comparison parameter of the first media resource, where the at least one effect comparison parameter is used to compare the first media resource with media resources in the same category in at least one dimension.

In some embodiments, the apparatus further comprises:

and the data value presentation unit is configured to perform presentation of the data value of the first media resource in the at least one dimension and presentation of the average data value of the media resources in the same category in the at least one dimension.

In some embodiments, the portal presentation unit is further configured to perform:

In some embodiments, the information presentation unit is further configured to perform:

According to a third aspect of embodiments of the present disclosure, there is provided a computer apparatus comprising:

one or more processors;

a memory for storing the processor executable program code;

wherein the processor is configured to execute the program code to implement the data processing method described above.

According to a fourth aspect of embodiments of the present disclosure, there is provided a computer-readable storage medium including: the program code in the computer readable storage medium, when executed by a processor of a computer device, enables the computer device to perform the data processing method described above.

According to a fifth aspect of embodiments of the present disclosure, there is provided a computer program product comprising a computer program which, when executed by a processor, implements the data processing method described above.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the disclosure and are not to be construed as limiting the disclosure.

FIG. 1 is a schematic diagram of an implementation environment for a data processing method according to an example embodiment;

FIG. 2 is a flow diagram illustrating a method of data processing in accordance with an exemplary embodiment;

FIG. 3 is a flow chart illustrating a method of data processing according to an exemplary embodiment;

FIG. 4 is a schematic diagram illustrating a first quality assessment page in accordance with an exemplary embodiment;

FIG. 5 is a schematic diagram illustrating a first quality assessment page in accordance with an exemplary embodiment;

FIG. 6 is a diagram illustrating a second quality assessment page in accordance with an exemplary embodiment;

FIG. 7 is a schematic diagram illustrating a third quality assessment page in accordance with an exemplary embodiment;

FIG. 8 is a schematic flow chart diagram illustrating a data process in accordance with an exemplary embodiment;

FIG. 9 is a block diagram illustrating a data processing apparatus in accordance with an exemplary embodiment;

FIG. 10 is a block diagram illustrating a terminal in accordance with an exemplary embodiment;

FIG. 11 is a block diagram illustrating a server in accordance with an example embodiment.

Detailed Description

In order to make the technical solutions of the present disclosure better understood by those of ordinary skill in the art, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below with reference to the accompanying drawings.

It should be noted that the terms "first," "second," and the like in the description and claims of the present disclosure and in the above-described drawings are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the disclosure described herein are capable of operation in sequences other than those illustrated or otherwise described herein. The implementations described in the exemplary embodiments below do not represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.

The data or information to which the present disclosure relates may be data or information that is authorized by a user or sufficiently authorized by various parties.

Fig. 1 is a schematic diagram of an implementation environment of a data processing method provided in an embodiment of the present disclosure, referring to fig. 1, where the implementation environment includes: a terminal 101 and a server 102.

The terminal 101 may be at least one of a smartphone, a smart watch, a desktop computer, a laptop computer, a virtual reality terminal, an augmented reality terminal, a wireless terminal, a laptop portable computer, and the like. The terminal 101 has a communication function and can access a wired network or a wireless network. The terminal 101 may be generally referred to as one of a plurality of terminals, and the embodiment is only illustrated by the terminal 101. Those skilled in the art will appreciate that the number of terminals described above may be greater or fewer.

The terminal 101 may have associated therewith a resource management platform that provides the functionality of recommending media assets and evaluating media assets. In the embodiment of the present disclosure, the terminal 101 is configured to display a quality evaluation entry of a first media resource, display a quality evaluation page of the first media resource based on the quality evaluation entry, and display quality evaluation information and a resource modification control of the first media resource in the quality evaluation page, so that a user can clearly know target resource content that does not satisfy a quality condition in the first media resource according to the quality evaluation information, and then modify the target resource content based on the resource modification control.

The server 102 may be an independent physical server, a server cluster or a distributed file system formed by a plurality of physical servers, or a cloud server providing basic cloud computing services such as a cloud service, a cloud database, cloud computing, a cloud function, cloud storage, a Network service, cloud communication, a middleware service, a domain name service, a security service, a CDN (Content Delivery Network), a big data and artificial intelligence platform, and the like.

The server 102 is a background server of the resource management platform associated with the terminal 101. In the embodiment of the present disclosure, the server 102 is configured to perform quality evaluation on the first media resource to obtain quality evaluation information of the first media resource, and then return the obtained quality evaluation information to the terminal 101 to trigger the terminal 101 to display the quality evaluation information.

In some embodiments, the server 102 and the terminal 101 are connected directly or indirectly through wired or wireless communication, which is not limited in the embodiments of the present disclosure. Alternatively, the number of the servers 102 may be more or less, and the embodiment of the disclosure does not limit this. Of course, the server 102 may also include other functional servers to provide more comprehensive and diverse services.

Fig. 2 is a flow chart illustrating a data processing method according to an exemplary embodiment, as shown in fig. 2, performed by a terminal, comprising the steps of:

in step 201, the terminal presents a quality assessment portal for the first media asset.

In step 202, the terminal presents a quality assessment page of the first media asset based on the quality assessment entry.

In step 203, the terminal displays, in the quality evaluation page, quality evaluation information of the first media resource and a resource modification control, where the quality evaluation information includes information indicating that target resource content corresponding to the first media resource does not satisfy a quality condition, and the resource modification control is used to trigger modification of the target resource content.

According to the technical scheme provided by the embodiment of the disclosure, the quality evaluation information and the resource modification control of the first media resource are displayed in the quality evaluation page, so that the information amount displayed by the quality evaluation page is increased, a user can clearly know the target resource content which does not meet the quality condition in the first media resource, and then the target resource content can be modified in a targeted manner through the displayed resource modification control, so that the user can obtain the media resource which is beneficial to improving the recommendation effect, and the recommendation effect of the media resource is improved.

In some embodiments, the method further comprises:

In some embodiments, the method further comprises at least one of:

In some embodiments, the at least one sub-parameter includes at least one of a first sub-parameter, a second sub-parameter, a third sub-parameter, a fourth sub-parameter, a fifth sub-parameter, and a sixth sub-parameter, where the first sub-parameter is used to indicate a picture clarity of the first media resource, the second sub-parameter is used to indicate a sound quality clarity of the first media resource, the third sub-parameter is used to indicate an information perfection of the first media resource, the fourth sub-parameter is used to indicate a matching degree of the first media resource and corresponding resource introduction information, the fifth sub-parameter is used to indicate a matching degree of the first media resource and corresponding category, and the sixth sub-parameter is used to indicate whether resource content of the first media resource meets content requirements.

In some embodiments, the method further comprises:

Fig. 2 is a flowchart illustrating only a basic flow of the present disclosure, and the following further explains a scheme provided by the present disclosure based on a specific implementation, fig. 3 is a flowchart illustrating a data processing method according to an exemplary embodiment, in the embodiment illustrated in fig. 3, a terminal shows the quality assessment information associated with the recommendation phase based on the recommendation phase in which the first media resource is located, and explains the scheme, referring to fig. 3, the method includes:

in the first phase of the first media resource, the terminal executes steps 301 to 306, and the first phase represents the to-be-recommended phase of the first media resource.

The first media resource is a media resource used for publicizing a certain product or service. In some embodiments, the first media resource is a video resource, or the first media resource is a picture resource, or the first media resource is a text resource. The embodiment of the present disclosure does not limit the resource type of the media resource. For example, the first media asset is a promotional video.

The to-be-recommended stage of the first media resource is a stage before the first media resource is recommended, and taking the first media resource as a promotional video as an example, the first stage can be understood as a stage before the promotional video is distributed.

In step 301, the terminal presents a first quality assessment portal for a first media asset.

Wherein the first quality assessment entry is used for triggering a quality assessment process for the first media resource. In some embodiments, the first quality assessment portal is provided as a quality assessment control, for example, through a triggering operation of the quality assessment control, the terminal can be triggered to execute a subsequent quality assessment process. The trigger operation may be a click operation, a selection operation, or other operations. Alternatively, in other embodiments, the first quality assessment portal is further provided as a reminder pop-up window or reminder pendant. The embodiment of the present disclosure does not limit the expression form of the first quality evaluation entry.

In some embodiments, the terminal has associated with it a resource management platform that provides the functionality for recommending media assets and evaluating media assets. In an optional embodiment, the terminal presents the first quality assessment entry in a resource recommendation page provided by the resource management platform, and the resource recommendation page is used for recommending media resources. In yet another alternative embodiment, the terminal presents the first quality assessment entry in a resource assessment page provided by the resource management platform, and the resource assessment page is used for assessing media resources.

It should be noted that, the above description is provided by exemplifying the first quality assessment entry shown in the resource recommendation page or the resource assessment page, and in other embodiments, the terminal may further be capable of showing the first quality assessment entry in other related pages provided by the resource management platform, for example, showing the first quality assessment entry in an interface home page provided by the resource management platform. The page showing the first quality assessment entry is not limited in the embodiments of the present disclosure. Of course, the terminal may display the first quality assessment entry in any page of the multiple pages shown above, or may display the first quality assessment entry in any multiple pages or all pages of the multiple pages. The embodiments of the present disclosure are not limited thereto.

In step 302, the terminal sends a quality assessment request to the server based on the first quality assessment entry, the quality assessment request requesting quality assessment of the first media resource.

In some embodiments, the terminal responds to the triggering operation of the first quality assessment entry, and displays a resource uploading page, wherein the resource uploading page is used for uploading media resources to be subjected to quality assessment; the user can upload the first media resource in the resource upload page, and the terminal responds to the upload operation of the first media resource, acquires the first media resource, and sends a quality evaluation request to the server to request the server to perform quality evaluation on the first media resource.

In some optional embodiments, the resource upload page is provided with a resource selection control, and accordingly, the process of the terminal acquiring the first media resource is as follows: the terminal responds to the triggering operation of the resource selection control, displays a resource selection page, wherein the resource selection page comprises a plurality of candidate media resources, and responds to the selection operation of the candidate media resources, and the selected media resources are acquired as the first media resources.

In step 303, the server receives the quality evaluation request, performs quality evaluation on the first media resource, and obtains quality evaluation information of the first media resource, where the quality evaluation information includes information for indicating that target resource content corresponding to the first media resource does not satisfy a quality condition.

In an embodiment of the disclosure, the quality assessment includes assessing a content quality of the first media asset and assessing a recommendation quality of the first media asset. In some embodiments, the quality assessment information includes quality assessment information corresponding to at least one quality assessment parameter used to assess the quality of the first media asset in at least one dimension.

In some embodiments, the at least one quality assessment parameter comprises at least one of a content quality parameter, a recommendation quality parameter, a degree of similarity parameter. The parameter values corresponding to the content quality parameter, the recommendation quality parameter and the similarity degree parameter are respectively used for representing whether the first media resource meets the quality condition in the corresponding dimension. The content quality parameter represents the content quality of the first media resource, the recommendation quality parameter represents the recommendation effect of the first media resource, and the similarity parameter represents the similarity between the first media resource and the published media resource. Therefore, the first media resource can be evaluated from multiple dimensions by setting multiple types of quality evaluation parameters, so that the comprehensiveness and accuracy of evaluating the first media resource are improved. The target resource content represents resource content in the first media resource that does not satisfy the quality condition, and it should be understood that the resource content that does not satisfy the quality condition is unqualified resource content.

In some embodiments, the server employs a network model to perform the above quality evaluation process, and the following describes the quality evaluation process performed by the server based on the content quality parameter, the recommended quality parameter, and the similarity parameter shown above:

in some embodiments, the content quality parameter is determined based on a first quality model, the corresponding process being: the server inputs the first media resource into the first quality model, and evaluates the content quality of the first media resource through the first quality model to obtain the content quality parameter of the first media resource.

Wherein the first quality model is to evaluate a content quality of the first media asset based on asset content of the first media asset. In some embodiments, the first quality model is a content quality model, and may specifically be a high-quality material algorithm model with material impression recognition capability. It should be understood that the media assets themselves are also a type of material (e.g., video material, picture material, etc.).

In some embodiments, the first quality model is trained based on feature information of a plurality of sample media assets and content quality labels of the plurality of sample media assets, the content quality labels representing parameter values of content quality parameters of corresponding sample media assets. Accordingly, the determination process of the first quality model includes: and the server performs model training based on the characteristic information of the sample media resources and the content quality labels of the sample media resources to obtain a first quality model.

Specifically, in some embodiments, in an ith iteration process of the training, the server inputs feature information of the plurality of sample media resources into the first quality model determined in the (i-1) th iteration process to obtain a parameter training result of the ith iteration process, where i is a positive integer greater than 1; and adjusting the model parameters of the first quality model determined in the ith-1 iteration process based on the parameter training result of the ith iteration process and the content quality labels of the plurality of sample media resources, performing the (i + 1) th iteration process based on the adjusted model parameters, and repeating the training iteration process until the training meets the target condition.

In some embodiments, the target condition met by the training is that the number of training iterations of the model reaches a target number, which is a preset number of training iterations, such as 1000; alternatively, the training satisfies a target condition that the loss value satisfies a target threshold condition, such as a loss value less than 0.00001. The embodiments of the present disclosure do not limit the setting of the target conditions.

Therefore, the network model with the better model parameters is obtained as the first quality model in an iterative training mode, so that the first quality model with the better evaluation capability is obtained, and the evaluation accuracy of the first quality model is improved.

In some embodiments, the recommended quality parameter is determined based on a second quality model, the corresponding process being: and the server inputs the first media resource into the second quality model, and evaluates the recommendation effect of the first media resource through the second quality model to obtain the recommendation quality parameter of the first media resource.

Wherein the second quality model is used to evaluate the recommendation effect of the first media asset based on the asset content of the first media asset. In some embodiments, the first quality model is a conversion prediction model, and may be a model capable of predicting a recommendation effect (or referred to as a conversion effect) of a media resource.

In some embodiments, the second quality model is trained based on feature information of a plurality of sample media assets and recommended quality labels of the plurality of sample media assets, the recommended quality labels representing parameter values of recommended quality parameters of corresponding sample media assets. Accordingly, the determination process of the first quality model includes: and the server performs model training based on the characteristic information of the plurality of sample media resources and the recommended quality labels of the plurality of sample media resources to obtain a second quality model.

Specifically, in some embodiments, in an ith iteration process of the training, the server inputs the feature information of the plurality of sample media resources into the second quality model determined in the (i-1) th iteration process to obtain a parameter training result of the ith iteration process, where i is a positive integer greater than 1; and adjusting the model parameters of the second quality model determined in the ith-1 iteration process based on the parameter training result of the ith iteration process and the recommended quality labels of the plurality of sample media resources, performing the (i + 1) th iteration process based on the adjusted model parameters, and repeating the training iteration process until the training meets the target condition.

Therefore, the network model with the better model parameters is obtained as the second quality model in an iterative training mode, so that the second quality model with the better evaluation capability is obtained, and the evaluation accuracy of the second quality model is improved.

In some embodiments, the similarity parameter is determined based on a third quality model, and the corresponding process is: the server inputs the first media resource into the third quality model, and evaluates the similarity between the first media resource and the published media resource through the third quality model to obtain a similarity parameter of the first media resource.

Wherein the third quality model is used to evaluate a degree of similarity between the first media asset and the published media asset based on the asset content of the first media asset. In some embodiments, the third quality model is a content quality model, and may specifically be a high-quality material algorithm model with material impression recognition capability.

In some embodiments, the third quality model is trained based on feature information of a plurality of sample media assets and similarity labels of the plurality of sample media assets, the similarity labels representing degrees of similarity between corresponding sample media assets and published media assets. Accordingly, the determination process of the third quality model includes: and the server performs model training based on the characteristic information of the sample media resources and the similarity labels of the sample media resources to obtain a third quality model.

Specifically, in some embodiments, in an ith iteration process of the training, the server inputs feature information of the plurality of sample media resources into a third quality model determined in an (i-1) th iteration process to obtain a parameter training result of the ith iteration process, where i is a positive integer greater than 1; and adjusting the model parameters of the third quality model determined in the ith-1 iteration process based on the parameter training result of the ith iteration process and the similarity labels of the plurality of sample media resources, performing the (i + 1) th iteration process based on the adjusted model parameters, and repeating the training iteration process until the training meets the target condition.

Therefore, the network model with the better model parameters is obtained as the third quality model in an iterative training mode, so that the third quality model with the better evaluation capability is obtained, and the evaluation accuracy of the third quality model is improved.

In some embodiments, for the first quality model, the second quality model and the third quality model mentioned in the above embodiments, the server performs model training on the neural network model based on the feature information of the plurality of sample media resources and the corresponding labels, so as to obtain the corresponding quality models. In some embodiments, the Neural Network model is a Convolutional Neural Network (CNN) or a Deep Neural Network (DNN) or other Network model.

The neural network model is a network that gradually extracts higher-level features from an original input based on a plurality of processing layers including complex structures or composed of multiple nonlinear transformations. In some embodiments, the neural network model includes an input layer, a plurality of hidden layers, and an output layer. The input layer is used for inputting the first media resource acquired by the server into the neural network model and converting the input information into a digital matrix so that the neural network model can carry out a subsequent operation process. The hidden layer can comprise a convolution layer, a pooling layer or a full-link layer, wherein the convolution layer is used for performing convolution operation on the digital matrix generated by the input layer, local features are extracted based on the convolution operation result, and the neural network model can comprise one or more convolution layers; the pooling layer is used for quantizing the feature extraction values obtained by the convolutional layer to obtain a matrix with a smaller dimension so as to further extract the features, and the neural network model can comprise one or more pooling layers; and the full connection layer is used for integrating the extracted local features into complete features through the weight matrix and calculating corresponding quality parameters based on the complete features. The output layer is used for obtaining the quality parameters output by the last hidden layer and outputting the quality parameters.

In the embodiment, each quality model is applied, the first media resource is evaluated according to core indexes such as material impression, recommendation effect and the like of the media resource, and availability suggestions are provided for the user, so that the recommendation effect of the media resource is improved.

In step 304, the server sends the quality assessment information of the first media resource to the terminal.

In step 305, the terminal receives the quality assessment information returned by the server.

In step 306, the terminal displays a first quality assessment page of the first media resource, and in the first quality assessment page, displays quality assessment information and a resource modification control of the first media resource, where the resource modification control is used to trigger modification of the target resource content.

The first quality evaluation page is used for displaying the quality evaluation information of the first media resource in the first stage.

(306A) In some embodiments, the quality evaluation information includes a parameter value corresponding to at least one quality evaluation parameter, and accordingly, in the first quality evaluation page, the process of presenting the quality evaluation information of the first media resource by the terminal is as follows: and the terminal displays a parameter value corresponding to at least one quality evaluation parameter of the first media resource in the first quality evaluation page.

Illustratively, fig. 4 is a schematic diagram of a first quality assessment page according to an exemplary embodiment, and referring to fig. 4, in the first quality assessment page shown in fig. 4, at least one quality assessment parameter, which is "content quality", "conversion effect", "similarity", respectively, is shown.

In some embodiments, the terminal presents the parameter value of the at least one quality assessment parameter in the area where the at least one quality assessment parameter is located. Referring to fig. 4, the terminal presents the parameter value of the at least one quality assessment parameter in the area below the at least one quality assessment parameter. For example, the parameter value of "content quality" is 4.1 higher, the parameter value of "conversion effect" is 4.1 higher, and the parameter value of "similarity" is high. In some embodiments, the parameter values of the quality assessment parameters are expressed in numerical magnitudes, such as 1, 2, 3; alternatively, the parameter values of the quality assessment parameters are expressed in literal ranks, such as high, high or excellent, good, and the like.

In the embodiment, the information quantity displayed on the quality evaluation page is increased by displaying the parameter value corresponding to at least one quality evaluation parameter, and the quality evaluation parameters meeting or not meeting the quality condition can be definitely known through the parameter value corresponding to each quality evaluation parameter, so that the subsequent resource modification process is performed on the quality evaluation parameters not meeting the quality condition, and the human-computer interaction efficiency is improved.

In some embodiments, the terminal further displays the parameter value of the at least one quality assessment parameter in the form of icon-level display in the area where the at least one quality assessment parameter is located. The icon level display is a display mode in which the filling ratio of the icon is used to represent the parameter value of the corresponding quality evaluation parameter. The icon can be an icon in any shape, such as a star icon or a square icon.

For example, referring to fig. 4, in the first quality evaluation page shown in fig. 4, for "content quality", the parameter value of "content quality" is represented by the fill proportion of a star icon, such as four stars, for "conversion effect", the parameter value of "conversion effect" is represented by the fill proportion of a star icon, such as four stars, and for "similarity", the parameter value of "similarity" is represented by the fill proportion of a square icon, such as three squares.

(306B) In some embodiments, the quality evaluation information includes quality evaluation information corresponding to at least one sub-parameter under the quality evaluation parameter, and accordingly, in the first quality evaluation page, the process of presenting the quality evaluation information of the first media resource by the terminal is as follows: and the terminal responds to the viewing operation of any quality evaluation parameter in the at least one quality evaluation parameter and displays the quality evaluation information of at least one sub-parameter under the quality evaluation parameter.

The quality evaluation information of the at least one sub-parameter is used to indicate whether the resource content corresponding to each sub-parameter in the first media resource satisfies the quality condition. In some embodiments, the at least one sub-parameter includes at least one of a first sub-parameter, a second sub-parameter, a third sub-parameter, a fourth sub-parameter, a fifth sub-parameter, and a sixth sub-parameter. The first sub-parameter is used to indicate the degree of sharpness of the picture of the first media resource, for example, the first sub-parameter is used to indicate whether the picture of the first media resource is sharp or not, or the first sub-parameter is used to indicate whether the picture of the first media resource is occluded or not; the second sub-parameter is used to indicate the clarity degree of the sound quality of the first media resource, for example, the second sub-parameter is used to indicate whether the playing sound of the first media resource is clear or not, or the second sub-parameter is used to indicate whether the first media resource has background music or not; the third sub-parameter is used to indicate the information perfection of the first media resource, for example, the third sub-parameter is used to indicate whether the resource introduction information (title or description) of the first media resource is complete or not, or the third sub-parameter is used to indicate whether the first media resource is added with the advertised product or service information; the fourth sub-parameter is used to indicate the matching degree of the first media resource and the corresponding resource introduction information, for example, the fourth sub-parameter is used to indicate whether the resource content of the first media resource matches with the title of the first media resource; the fifth sub-parameter is used to indicate the matching degree of the first media resource and the corresponding category, for example, the fifth sub-parameter is used to indicate whether the resource content of the first media resource matches with the advertised product or service; the sixth sub-parameter is used to indicate whether the resource content of the first media resource meets the content requirement, for example, the sixth sub-parameter is used to indicate whether the resource content of the first media resource meets the specification.

In the above embodiment, by setting multiple types of sub-parameters and displaying at least one sub-parameter under each quality evaluation parameter, the amount of information displayed on the quality evaluation page is increased, more specific and refined quality evaluation information can be provided for a user, so that the user can further and definitely know the parts meeting or not meeting the quality conditions, and then a subsequent resource modification process is performed on the quality evaluation parameters not meeting the quality conditions, thereby improving the human-computer interaction efficiency.

In some embodiments, the terminal presents the quality assessment information of at least one sub-parameter under the quality assessment parameter in the form of a label. Therefore, the display style of each sub-parameter is enriched, and the display effect of each sub-parameter is improved. In some embodiments, at least one of the sub-parameters illustrated above is evaluated by the server based on the quality model illustrated in step 303. In some embodiments, after the server evaluates and obtains at least one sub-parameter of the first media resource, the server analyzes the at least one sub-parameter to determine a tag corresponding to the at least one sub-parameter. Therefore, the quality models and the content tag capability are innovatively and effectively combined together, so that reasonable modification suggestions are provided for users in a key process, the material impression effect of the media resources is improved, and the recommendation effect of the media resources is improved.

Fig. 5 is a schematic diagram of a first quality assessment page according to an exemplary embodiment, and referring to fig. 5, fig. 5 illustrates at least one sub-parameter shown by taking the content quality parameter in the selected state as an example, in the first quality assessment page shown in fig. 5, the information for indicating that the target resource content does not satisfy the quality condition refers to a "score reduction influence factor", and in the column of the "score reduction influence factor", a plurality of sub-parameters are shown in the form of tags, and the plurality of sub-parameters represent the target resource content corresponding to the first media resource, and are respectively "subtitle is small", "background-free music", and the like. The resource modification control may be a "modification entry" shown in fig. 5, and by triggering the "modification entry", the terminal can be triggered to enter a resource modification process, so as to modify or adjust the resource content of the media resource.

In the embodiments shown in (306A) and (306B), the case is described by taking the example that the quality assessment information includes quality assessment information corresponding to the quality assessment parameter and quality assessment information corresponding to at least one sub-parameter under the quality assessment parameter, respectively, and in other embodiments, the quality assessment information further includes other assessment information of the first media resource, so as to increase the information amount displayed on the first quality assessment page, thereby providing richer assessment information for the user. See (306C) and (306D) for corresponding procedures.

(306C) In some embodiments, the quality assessment information further comprises an integrated quality level of the first media resource, and correspondingly, the terminal further presents the integrated quality level of the first media resource, the integrated quality level being determined based on the parameter value of the at least one quality assessment parameter.

For example, referring to fig. 4, in the first quality assessment page shown in fig. 4, the composite quality rating may be a "composite rating" shown in fig. 4: good ". Therefore, the information quantity displayed on the quality evaluation page is increased by displaying the comprehensive quality grade, so that the user can know the comprehensive quality of the first media resource at the first time, and the man-machine interaction efficiency is improved.

In some embodiments, the determination of the integrated quality level is performed by: and carrying out weighted average on the parameter values of the at least one quality evaluation parameter to obtain a weighted average value of the at least one quality evaluation parameter, and determining the weighted average value as the comprehensive quality grade of the first media resource.

In an alternative embodiment, the determination of the overall quality level is performed by the terminal, and the corresponding process is: and after receiving the parameter value of the at least one quality evaluation parameter returned by the server, the terminal determines the comprehensive quality level of the first media resource based on the parameter value of the at least one quality evaluation parameter. In another alternative embodiment, the determination process of the comprehensive quality grade is executed by the terminal and the server together, and the corresponding process is as follows: after determining the parameter value of the at least one quality assessment parameter in step 303, the server determines the comprehensive quality level of the first media resource based on the parameter value of the at least one quality assessment parameter, the comprehensive quality level is carried in the quality assessment information of the first media resource, and the quality assessment information carrying the comprehensive quality level is sent to the terminal, so that the terminal can obtain the comprehensive quality level carried by the quality assessment information.

(306D) In some embodiments, the quality evaluation information further includes a target proportion corresponding to at least one quality evaluation parameter, and accordingly, the terminal further displays the target proportion corresponding to the at least one quality evaluation parameter, where the target proportion represents a proportion of a second media resource in the media resources of the same category, and a parameter value of the quality evaluation parameter of the second media resource is lower than a parameter value of the quality evaluation parameter of the first media resource.

Illustratively, referring to fig. 4, in the first quality assessment page shown in fig. 4, target proportions corresponding to "content quality", "conversion effect", and "similarity", for example, "80%" are shown, respectively. In some embodiments, the terminal further displays the prompt information of the target ratio in the first quality assessment page, for example, referring to fig. 4, the corresponding contents of the prompt information are: "content quality: more than 80% of the same row "," conversion effect: more than 80% of the same row "," similarity: more than 80% of the same row ". Therefore, the information quantity displayed on the quality evaluation page is increased by displaying the target proportion corresponding to each quality evaluation parameter, so that a user can timely know the quality condition of the first media resource in the same type of media resource, and the man-machine interaction efficiency is improved.

In step 306, the amount of information displayed on the first quality assessment page is increased by displaying the quality assessment information and the resource modification control of the first media resource, so that the user can clearly know the portion of the first media resource that does not meet the quality condition, and then the displayed resource modification control can modify the first media resource in a targeted manner, so that the user can obtain the media resource capable of improving the recommendation effect, and the recommendation effect of the media resource is improved.

In addition to the resource modification control shown in step 306, in some embodiments, the terminal further displays at least one function control, and the corresponding process includes at least one of the following: the terminal displays a resource publishing control, and the resource publishing control is used for triggering the first media resource to be published; the terminal displays a re-evaluation control, and the re-evaluation control is used for triggering re-evaluation of the first media resource; and the terminal displays a task deleting control, and the task deleting control is used for triggering deletion of the evaluation task of the first media resource.

For example, referring to fig. 4, in the first quality assessment page shown in fig. 4, the resource publishing control may be a "push to video library control" shown in fig. 4, the reevaluation control may be a "redetection control" shown in fig. 4, and the task deletion control may be a "delete task control" shown in fig. 4. Therefore, by displaying the various types of operation controls, the user can execute the corresponding operation flow through the corresponding operation controls, and the human-computer interaction efficiency is improved.

The above steps 301 to 306 are taken as examples to prompt that the target resource content corresponding to the first media resource does not satisfy the quality condition, so that the user can modify the prompted target resource content, thereby implementing optimization of the first media resource. In yet other embodiments, the quality assessment information further includes information indicating the content of the resource in the first media resource that meets the quality condition. Illustratively, referring to fig. 5, in the first quality assessment page shown in fig. 5, the information indicating the portion satisfying the quality condition refers to "bonus influencing factor", in which a plurality of sub-parameters representing the resource contents satisfying the quality condition in the first media resource, respectively "clear picture", "clear sound", "clear title", and the like, are shown in the form of tags in the column. Therefore, the information quantity displayed by the quality evaluation page is increased by prompting the resource content meeting the quality condition in the first media resource, so that the user can know the quality advantage of the first media resource, the media resource can be manufactured according to the known quality advantage in the subsequent manufacturing process of the media resource, the part which does not meet the quality condition is avoided, and the recommendation effect of the media resource is improved.

In some embodiments, the terminal further presents a recommended media asset in the first quality assessment page, the recommended media asset being a media asset satisfying a quality condition. In some embodiments, the recommended media asset is a media asset having an association with the first media asset. For example, the recommended media resource belongs to the same category as the first media resource, and accordingly, the recommended media resource is a media resource satisfying a quality condition in the media resources of the same category, like a premium media resource in the media resources of the category.

In an alternative embodiment, the first quality assessment page is provided with a view entry for the recommended media asset, and the recommended media asset is played in response to a triggering operation on the view entry. Therefore, the user can view the resource content of the high-quality media resource by providing the viewing entrance of the recommended media resource for the user, so that the user is helped to find the production direction or the modification direction of the resource content. Illustratively, referring to FIG. 5, the viewing portal for the recommended media assets may be the "premium case" shown in FIG. 5.

In an optional embodiment, the terminal also presents a media resource template in the first quality assessment page, wherein the media resource template is provided with element contents required for making the media resource. Among them, the element content may also be referred to as material content. For example, the media resource template is provided with the element contents of the media resource in each time period, for example, a 30s video is taken as an example, the element contents required in the first 10s of the video may be the introduction contents of the advertised product or service, the element contents required in the middle 10s of the video may be the introduction contents of the advertised product or service, the element contents required in the last 10s of the video are the access modes of the corresponding product or service, and so on.

In an alternative embodiment, the first quality assessment page is provided with a trigger entry of the media resource template, the media resource template is presented in response to a trigger operation on the trigger entry, and the user uses the media resource template to make the first media resource. Therefore, the media resource template is provided for the user, so that the user can conveniently use the media resource template to manufacture the first media resource, the first media resource can be quickly manufactured, the quality of the manufactured first media resource can be ensured, and the efficiency and the accuracy of manufacturing the first media resource are improved.

In the second phase of the first media resource, the terminal performs steps 307 to 309, and the second phase represents the medium recommendation phase of the first media resource.

The medium recommending stage of the first media resource is also a stage in the process of recommending the first media resource, taking the first media resource as a promotional video as an example, and the second stage can be understood as a stage in the publishing of the promotional video.

In some embodiments, in the second stage of the first media resource, the server automatically performs quality evaluation on the first media resource, and in the case that there is a portion of the first media resource that does not satisfy the quality condition, the server actively feeds back a quality evaluation result of the first media resource. In an alternative embodiment, the server performs a quality assessment for the first media asset based on a recommended real-time status of the first media asset. Illustratively, the server is provided with a resource auditing module which is used for performing feedback description on material impression problems existing in the media resources, such as picture exposure, content definition, consistency with advertised products or services and the like.

In step 307, the terminal presents a second quality assessment portal for the first media asset.

And the second quality evaluation entry is an entry control of the second quality evaluation page and is used for triggering and displaying the second quality evaluation page. It should be noted that, for the process of displaying the second quality assessment entry by the terminal, refer to the process of displaying the first quality assessment entry in step 301, and details are not repeated. Illustratively, the second quality assessment portal may be an effect review control.

In step 308, the terminal presents a second quality assessment page of the first media asset based on the second quality assessment entry.

And the second quality evaluation page is used for displaying the quality evaluation information of the first media resource in the second stage.

In some embodiments, the terminal presents a second quality assessment page for the first media asset in response to a triggering operation on the second quality assessment portal.

In step 309, the terminal presents the quality evaluation information and the resource modification control of the first media resource in the second quality evaluation page.

In some embodiments, the quality assessment information is provided as a modification suggestion prompt, and accordingly, the terminal presents the quality assessment information of the first media resource by: and the terminal displays a modification suggestion prompt of the first media resource, wherein the modification suggestion prompt is used for prompting to modify the target resource content corresponding to the first media resource. Therefore, the information quantity displayed on the quality evaluation page is increased by displaying the modification suggestion prompt, so that the user can clearly know the part to be modified, and the man-machine interaction efficiency is improved.

Illustratively, fig. 6 is a schematic diagram of a second quality assessment page according to an exemplary embodiment, see fig. 6, in the second quality assessment page shown in fig. 6, a modification suggestion prompt refers to "audit suggestion", in the column of the "audit suggestion" a plurality of modification suggestion prompts are shown in the form of labels, for example, "hello, your video is too exposed, please modify", "hello, your video main information is not in the center of the screen", "hello, your video content is not consistent with the recommendation target, please modify", "hello, your icon content is unclear, please modify", "hello, the introduction content in your picture is not in compliance with the release requirement, please modify", and so on. The resource modification control may be a "modify creative control" as shown in fig. 6, which can trigger the terminal to enter a resource modification process by triggering the "modify creative control" to modify or adjust the content of the media resource.

In a third phase of the first media asset, the terminal performs steps 310 to 312, where the third phase represents a late stage of the recommendation of the first media asset.

The late stage of the recommendation of the first media asset may be a later stage of the recommendation of the first media asset or may be a stage after the end of the recommendation of the first media asset. Taking the first media resource as the promotional video, the third stage can be understood as a stage at the later stage of the distribution of the promotional video or a stage at the end of the distribution of the promotional video.

In step 310, the terminal presents a third quality assessment portal for the first media asset.

And the third quality evaluation entry is an entry control of the third quality evaluation page and is used for triggering and displaying the third quality evaluation page. It should be noted that, for the process of displaying the third quality assessment entry by the terminal, refer to the process of displaying the first quality assessment entry in step 301, and details are not repeated.

In step 311, the terminal presents a third quality assessment page of the first media resource based on the third quality assessment entry.

And the third quality evaluation page is used for displaying the quality evaluation information of the first media resource in the third stage.

In some embodiments, the terminal presents a third quality assessment page for the first media asset in response to a triggering operation on the third quality assessment portal.

In step 312, the terminal presents the quality evaluation information and the resource modification control of the first media resource in the third quality evaluation page.

In some embodiments, the quality evaluation information includes a parameter value corresponding to at least one effect comparison parameter, and accordingly, in the third quality evaluation page, the process of displaying the quality evaluation information of the first media resource by the terminal is as follows: the terminal displays a parameter value corresponding to at least one effect comparison parameter of the first media resource in the third quality evaluation page, wherein the at least one effect comparison parameter is used for comparing the first media resource with the media resources in the same category in at least one dimension.

In some embodiments, the effect comparison parameter includes at least one of a first comparison parameter, a second comparison parameter, and a third comparison parameter, the first comparison parameter represents a comparison of the first media resource in a recommendation cost dimension, the second comparison parameter represents a comparison of the first media resource in an access dimension, and the third comparison parameter represents a comparison of the first media resource in a recommendation effect dimension. Therefore, various types of effect comparison parameters are provided, and the information quantity of the effect comparison parameters is enriched.

Exemplarily, fig. 7 is a schematic diagram of a third quality assessment page according to an exemplary embodiment, referring to fig. 7, in the third quality assessment page shown in fig. 7, at least one effect comparison parameter is shown, which is "bid comparison parameter", "access comparison parameter", and "conversion comparison parameter", respectively. In some embodiments, the parameter values of the effect-versus-parameter are expressed in numerical magnitudes, such as 1, 2, 3; or, the parameter values of the effect comparison parameters are represented by text grades, such as high, or excellent, good, and the like. Wherein, the information in the quality evaluation information for indicating that the target resource content corresponding to the first media resource does not satisfy the quality condition may be "modification suggestion" shown in fig. 7: suggesting exposure in the optimized material, and adjusting the document description, the resource modification control may be an "optimized material control" shown in fig. 7, and the first media resource can be modified by triggering the "optimized material control". Illustratively, the server is provided with an effect factor module which is used for evaluating the comparison condition of the first media resource in the same industry from the directions of three dimensions of bidding, accessing and converting. Therefore, the information quantity displayed on the quality evaluation page is increased by displaying the parameter value corresponding to the at least one effect comparison parameter, so that the user can timely know the advantages of the first media resource in the same category, and the man-machine interaction efficiency is improved.

In some embodiments, the terminal displays the parameter value of the at least one effect comparison parameter in the area where the at least one effect comparison parameter is located. Referring to fig. 7, the terminal displays the parameter value of the at least one effect comparison parameter in the lower area of the at least one effect comparison parameter. For example, the parameter value of "bid alignment parameter" is low, the parameter value of "visit alignment parameter" is normal, and the parameter value of "conversion alignment parameter" is normal.

In some embodiments, the quality evaluation information further includes a comprehensive effect comparison parameter of the first media resource, and accordingly, the terminal further displays the comprehensive effect comparison parameter of the first media resource, and the comprehensive effect comparison parameter is determined based on a parameter value of the at least one effect comparison parameter. For example, referring to fig. 7, in the third quality assessment page shown in fig. 7, the comprehensive effect comparison parameter may be the "comprehensive comparison parameter" shown in fig. 7. It should be noted that the "&" icon shown in fig. 7 indicates that there is a reference relationship, that is, the bid comparison parameter, the access comparison parameter and the conversion comparison parameter are referred to when determining the comprehensive effect comparison parameter of the first media resource.

In some embodiments, the determination process of the overall effect comparison parameter is: and carrying out weighted average on the parameter values of the at least one effect comparison parameter to obtain a weighted average value of the at least one effect comparison parameter, and determining the weighted average value as the comprehensive effect comparison parameter of the first media resource.

In an optional embodiment, the process of determining the comprehensive effect comparison parameter is performed by the terminal, and the corresponding process is as follows: and after receiving the parameter value of the at least one effect comparison parameter returned by the server, the terminal determines the comprehensive effect comparison parameter of the first media resource based on the parameter value of the at least one effect comparison parameter. In another optional embodiment, the determination process of the comprehensive effect comparison parameter is executed by the terminal and the server together, and the corresponding process is as follows: after the server determines the parameter value of the at least one effect comparison parameter, the server determines a comprehensive effect comparison parameter of the first media resource based on the parameter value of the at least one effect comparison parameter, the comprehensive effect comparison parameter is carried in the quality evaluation information of the first media resource, the quality evaluation information carrying the comprehensive effect comparison parameter is sent to the terminal, and then the terminal can obtain the comprehensive effect comparison parameter carried by the quality evaluation information.

In some embodiments, the terminal further presents the data value of the first media asset in the at least one dimension and presents an average data value of media assets in the same category in the at least one dimension. For example, taking the dimension of the access condition as an example, the terminal further shows the access condition of the first media resource and the average access condition of the media resources of the same category. For example, referring to fig. 7, in the third quality assessment page shown in fig. 7, taking the access competitiveness as an example, the access situation of the first media resource may be the "current access situation" shown in fig. 7: xxx ", the average access scenario for a media resource of the same category may be the" same industry access scenario "shown in fig. 7: xxx ". Therefore, the data values in all dimensions are displayed, the information quantity displayed by the quality evaluation page is increased, so that a user can timely know the effect comparison condition of the first media resource in all dimensions, and the man-machine interaction efficiency is improved.

In the above embodiment, when the first media resource has corresponding target resource content, the modification suggestion prompt and the resource modification control for the target resource content are displayed. It should be appreciated that in the event that the target asset content is not present in the first media asset, then the modification suggestion prompt and the asset modification control are not presented.

Fig. 8 is a schematic flow chart of data processing according to an exemplary embodiment, referring to fig. 8, taking a first media resource as a promotional video, in a stage before the promotional video is published, performing quality evaluation on a video material produced by a user by using a high-quality material algorithm model (a first quality model), a content tag capability, and a transformation estimation model (a second quality model) provided by a server, so that the user can screen and publish a high-quality video material, and in a stage after the promotional video is published, analyzing a publishing effect of the promotional video, so that the user can subsequently produce a higher-quality video material.

In the above embodiment, the user can obtain the resource content of the first media resource that does not satisfy the quality condition in the full link of the to-be-recommended stage, the medium-recommended stage, and the post-recommended stage of the first media resource, so that the user can modify the media resource in a targeted manner, and the recommendation effect of the media resource is improved.

It should be noted that, in the embodiment shown in fig. 3, the first stage, the second stage, and the third stage of the first media resource are used to show the quality assessment information of the first media resource, respectively, as an example, to explain the scheme, and in other embodiments, the terminal may further perform a process of showing the quality assessment information of the first media resource at any one stage or any two stages. For example, in a first phase of a first media asset, quality assessment information for the first media asset is presented.

FIG. 9 is a block diagram illustrating a data processing apparatus according to an example embodiment. Referring to fig. 9, the apparatus includes an entrance presentation unit 901, a page presentation unit 902, and an information presentation unit 903.

A portal presentation unit 901 configured to perform a quality assessment portal presenting a first media asset;

a page presentation unit 902 configured to perform presenting a quality assessment page of the first media asset based on the quality assessment entry;

an information presentation unit 903, configured to perform presentation of quality evaluation information of the first media resource and a resource modification control in the quality evaluation page, where the quality evaluation information includes information indicating that target resource content corresponding to the first media resource does not satisfy a quality condition, and the resource modification control is used to trigger modification of the target resource content.

the information presentation unit 903 includes:

In some embodiments, the apparatus further comprises:

the information presentation unit 903 includes:

and the prompt presentation subunit is configured to execute a modification suggestion prompt for presenting the first media resource, wherein the modification suggestion prompt is used for prompting to modify the target resource content corresponding to the first media resource.

the information presentation unit 903 includes:

In some embodiments, the apparatus further comprises:

It should be noted that: in the data processing apparatus provided in the above embodiment, only the division of the above functional modules is used for illustration in data processing, and in practical applications, the above function distribution may be completed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to complete all or part of the above described functions. In addition, the data processing apparatus and the data processing method provided by the above embodiments belong to the same concept, and specific implementation processes thereof are described in the method embodiments for details, which are not described herein again.

The computer device mentioned in the embodiments of the present disclosure may be provided as a terminal. Fig. 10 shows a block diagram of a terminal 1000 according to an exemplary embodiment of the disclosure. The terminal 1000 can be: a smart phone, a tablet computer, an MP3 player (Moving Picture Experts Group Audio Layer III, motion video Experts compression standard Audio Layer 3), an MP4 player (Moving Picture Experts Group Audio Layer IV, motion video Experts compression standard Audio Layer 4), a notebook computer, or a desktop computer. Terminal 1000 can also be referred to as user equipment, portable terminal, laptop terminal, desktop terminal, or the like by other names.

In general, terminal 1000 can include: a processor 1001 and a memory 1002.

Processor 1001 may include one or more processing cores, such as a 4-core processor, an 8-core processor, and so forth. The processor 1001 may be implemented in at least one hardware form of a DSP (Digital Signal Processing), an FPGA (Field-Programmable Gate Array), and a PLA (Programmable Logic Array). The processor 1001 may also include a main processor and a coprocessor, where the main processor is a processor for processing data in an awake state, and is also referred to as a Central Processing Unit (CPU); a coprocessor is a low power processor for processing data in a standby state. In some embodiments, the processor 1001 may be integrated with a GPU (Graphics Processing Unit), which is responsible for rendering and drawing the content that the display screen needs to display. In some embodiments, the processor 1001 may further include an AI (Artificial Intelligence) processor for processing a computing operation related to machine learning.

Memory 1002 may include one or more computer-readable storage media, which may be non-transitory. The memory 1002 may also include high-speed random access memory, as well as non-volatile memory, such as one or more magnetic disk storage devices, flash memory storage devices. In some embodiments, a non-transitory computer readable storage medium in the memory 1002 is used to store at least one program code for execution by the processor 1001 to implement the processes performed by the terminal in the data processing method provided by the method embodiments in the present disclosure.

In some embodiments, terminal 1000 can also optionally include: a peripheral interface 1003 and at least one peripheral. The processor 1001, memory 1002 and peripheral interface 1003 may be connected by a bus or signal line. Various peripheral devices may be connected to peripheral interface 1003 via a bus, signal line, or circuit board. Specifically, the peripheral device includes: at least one of radio frequency circuitry 1004, display screen 1005, camera assembly 1006, audio circuitry 1007, positioning assembly 1008, and power supply 1009.

Peripheral interface 1003 may be used to connect at least one peripheral associated with I/O (Input/Output) to processor 1001 and memory 1002. In some embodiments, processor 1001, memory 1002, and peripheral interface 1003 are integrated on the same chip or circuit board; in some other embodiments, any one or two of the processor 1001, the memory 1002, and the peripheral interface 1003 may be implemented on separate chips or circuit boards, which are not limited by this embodiment.

The Radio Frequency circuit 1004 is used for receiving and transmitting RF (Radio Frequency) signals, also called electromagnetic signals. The radio frequency circuitry 1004 communicates with communication networks and other communication devices via electromagnetic signals. The radio frequency circuit 1004 converts an electrical signal into an electromagnetic signal to transmit, or converts a received electromagnetic signal into an electrical signal. Optionally, the radio frequency circuit 1004 comprises: an antenna system, an RF transceiver, one or more amplifiers, a tuner, an oscillator, a digital signal processor, a codec chipset, a subscriber identity module card, and so forth. The radio frequency circuit 1004 may communicate with other terminals via at least one wireless communication protocol. The wireless communication protocols include, but are not limited to: metropolitan area networks, various generation mobile communication networks (2G, 3G, 4G, and 5G), Wireless local area networks, and/or WiFi (Wireless Fidelity) networks. In some embodiments, the radio frequency circuit 1004 may also include NFC (Near Field Communication) related circuits, which are not limited by this disclosure.

A display screen 1005 is used to display a UI (User Interface). The UI may include graphics, text, icons, video, and any combination thereof. When the display screen 1005 is a touch display screen, the display screen 1005 also has the ability to capture touch signals on or over the surface of the display screen 1005. The touch signal may be input to the processor 1001 as a control signal for processing. At this point, the display screen 1005 may also be used to provide virtual buttons and/or a virtual keyboard, also referred to as soft buttons and/or a soft keyboard. In some embodiments, display 1005 can be one, disposed on a front panel of terminal 1000; in other embodiments, display 1005 can be at least two, respectively disposed on different surfaces of terminal 1000 or in a folded design; in other embodiments, display 1005 can be a flexible display disposed on a curved surface or a folded surface of terminal 1000. Even more, the display screen 1005 may be arranged in a non-rectangular irregular figure, i.e., a shaped screen. The Display screen 1005 may be made of LCD (Liquid Crystal Display), OLED (Organic light-Emitting Diode), and the like.

The camera assembly 1006 is used to capture images or video. Optionally, the camera assembly 1006 includes a front camera and a rear camera. Generally, a front camera is disposed at a front panel of the terminal, and a rear camera is disposed at a rear surface of the terminal. In some embodiments, the number of the rear cameras is at least two, and each rear camera is any one of a main camera, a depth-of-field camera, a wide-angle camera and a telephoto camera, so that the main camera and the depth-of-field camera are fused to realize a background blurring function, and the main camera and the wide-angle camera are fused to realize panoramic shooting and VR (Virtual Reality) shooting functions or other fusion shooting functions. In some embodiments, camera assembly 1006 may also include a flash. The flash lamp can be a monochrome temperature flash lamp or a bicolor temperature flash lamp. The double-color-temperature flash lamp is a combination of a warm-light flash lamp and a cold-light flash lamp, and can be used for light compensation at different color temperatures.

The audio circuit 1007 may include a microphone and a speaker. The microphone is used for collecting sound waves of a user and the environment, converting the sound waves into electric signals, and inputting the electric signals to the processor 1001 for processing or inputting the electric signals to the radio frequency circuit 1004 for realizing voice communication. For stereo sound collection or noise reduction purposes, multiple microphones can be provided, each at a different location of terminal 1000. The microphone may also be an array microphone or an omni-directional pick-up microphone. The speaker is used to convert electrical signals from the processor 1001 or the radio frequency circuit 1004 into sound waves. The loudspeaker can be a traditional film loudspeaker and can also be a piezoelectric ceramic loudspeaker. When the speaker is a piezoelectric ceramic speaker, the speaker can be used for purposes such as converting an electric signal into a sound wave audible to a human being, or converting an electric signal into a sound wave inaudible to a human being to measure a distance. In some embodiments, the audio circuit 1007 may also include a headphone jack.

A Location component 1008 is employed to locate a current geographic Location of terminal 1000 for purposes of navigation or LBS (Location based Service). The positioning component 1008 may be a positioning component based on a Global Positioning System (GPS) in the united states, a beidou System in china, a greiner System in russia, or a galileo System in the european union.

Power supply 1009 is used to supply power to various components in terminal 1000. The power source 1009 may be alternating current, direct current, disposable batteries, or rechargeable batteries. When the power source 1009 includes a rechargeable battery, the rechargeable battery may support wired charging or wireless charging. The rechargeable battery may also be used to support fast charge technology.

In some embodiments, terminal 1000 can also include one or more sensors 1010. The one or more sensors 1010 include, but are not limited to: acceleration sensor 1011, gyro sensor 1012, pressure sensor 1013, fingerprint sensor 1014, optical sensor 1015, and proximity sensor 1016.

Acceleration sensor 1011 can detect acceleration magnitudes on three coordinate axes of a coordinate system established with terminal 1000. For example, the acceleration sensor 1011 may be used to detect components of the gravitational acceleration in three coordinate axes. The processor 1001 may control the display screen 1005 to display the user interface in a landscape view or a portrait view according to the gravitational acceleration signal collected by the acceleration sensor 1011. The acceleration sensor 1011 may also be used for acquisition of motion data of a game or a user.

The gyro sensor 1012 may detect a body direction and a rotation angle of the terminal 1000, and the gyro sensor 1012 and the acceleration sensor 1011 may cooperate to acquire a 3D motion of the user on the terminal 1000. From the data collected by the gyro sensor 1012, the processor 1001 may implement the following functions: motion sensing (such as changing the UI according to a user's tilting operation), image stabilization while shooting, game control, and inertial navigation.

Pressure sensor 1013 can be disposed on a side frame of terminal 1000 and/or underneath display screen 1005. When pressure sensor 1013 is disposed on a side frame of terminal 1000, a user's grip signal on terminal 1000 can be detected, and processor 1001 performs left-right hand recognition or shortcut operation according to the grip signal collected by pressure sensor 1013. When the pressure sensor 1013 is disposed at a lower layer of the display screen 1005, the processor 1001 controls the operability control on the UI interface according to the pressure operation of the user on the display screen 1005. The operability control comprises at least one of a button control, a scroll bar control, an icon control and a menu control.

The fingerprint sensor 1014 is used to collect a fingerprint of the user, and the processor 1001 identifies the user according to the fingerprint collected by the fingerprint sensor 1014, or the fingerprint sensor 1014 identifies the user according to the collected fingerprint. Upon identifying that the user's identity is a trusted identity, the processor 1001 authorizes the user to perform relevant sensitive operations including unlocking a screen, viewing encrypted information, downloading software, paying, and changing settings, etc. Fingerprint sensor 1014 may be disposed on a front, back, or side of terminal 1000. When a physical key or vendor Logo is provided on terminal 1000, fingerprint sensor 1014 can be integrated with the physical key or vendor Logo.

The optical sensor 1015 is used to collect the ambient light intensity. In one embodiment, the processor 1001 may control the display brightness of the display screen 1005 according to the ambient light intensity collected by the optical sensor 1015. Specifically, when the ambient light intensity is high, the display brightness of the display screen 1005 is increased; when the ambient light intensity is low, the display brightness of the display screen 1005 is turned down. In another embodiment, the processor 1001 may also dynamically adjust the shooting parameters of the camera assembly 1006 according to the intensity of the ambient light collected by the optical sensor 1015.

Proximity sensor 1016, also known as a distance sensor, is typically disposed on a front panel of terminal 1000. Proximity sensor 1016 is used to gather the distance between the user and the front face of terminal 1000. In one embodiment, when proximity sensor 1016 detects that the distance between the user and the front surface of terminal 1000 is gradually reduced, processor 1001 controls display screen 1005 to switch from a bright screen state to a dark screen state; when proximity sensor 1016 detects that the distance between the user and the front of terminal 1000 is gradually increased, display screen 1005 is controlled by processor 1001 to switch from a breath-screen state to a bright-screen state.

Those skilled in the art will appreciate that the configuration shown in FIG. 10 is not intended to be limiting and that terminal 1000 can include more or fewer components than shown, or some components can be combined, or a different arrangement of components can be employed.

The computer device mentioned in the embodiment of the present disclosure may be provided as a server. Fig. 11 is a block diagram of a server according to an exemplary embodiment, where the server 1100 may have a relatively large difference due to different configurations or performances, and may include one or more processors (CPUs) 1101 and one or more memories 1102, where the one or more memories 1102 store at least one program code, and the at least one program code is loaded and executed by the one or more processors 1101 to implement the processes executed by the server in the data Processing methods provided by the above-mentioned method embodiments. Of course, the server 1100 may also have components such as a wired or wireless network interface, a keyboard, and an input/output interface, so as to perform input/output, and the server 1100 may also include other components for implementing device functions, which are not described herein again.

In an exemplary embodiment, there is also provided a computer readable storage medium, such as the memory 1102, comprising program code executable by the processor 1101 of the server 1100 to perform the data processing method described above. Alternatively, the computer-readable storage medium may be a ROM (Read-Only Memory), a RAM (Random Access Memory), a CD-ROM (Compact-Disc Read-Only Memory), a magnetic tape, a floppy disk, an optical data storage device, and the like.

In an exemplary embodiment, a computer program product is also provided, comprising a computer program which, when executed by a processor, implements the data processing method described above.

In some embodiments, a computer program according to embodiments of the present disclosure may be deployed to be executed on one computer device or on multiple computer devices located at one site, or on multiple computer devices distributed at multiple sites and interconnected by a communication network, and the multiple computer devices distributed at the multiple sites and interconnected by the communication network may constitute a block chain system.

Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This disclosure is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.

It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims

1. A method of data processing, the method comprising:

presenting a quality assessment portal for the first media asset;

presenting a quality assessment page for the first media asset based on the quality assessment portal;

2. The data processing method of claim 1, wherein the quality assessment information comprises a parameter value corresponding to at least one quality assessment parameter;

the presenting the quality assessment information of the first media asset comprises:

and displaying a parameter value corresponding to at least one quality evaluation parameter of the first media resource, wherein the at least one quality evaluation parameter is used for carrying out quality evaluation on the first media resource in at least one dimension.

3. The data processing method of claim 2, wherein the method further comprises:

4. The data processing method of claim 2, wherein the method further comprises:

presenting a composite quality ranking of the first media asset, the composite quality ranking determined based on the parameter value of the at least one quality assessment parameter.

5. The data processing method of claim 2, wherein the method further comprises at least one of:

presenting a re-evaluation control for triggering re-evaluation of the first media asset;

6. The data processing method according to claim 2, wherein the quality evaluation information includes quality evaluation information corresponding to at least one sub-parameter under the quality evaluation parameter;

and in response to the viewing operation of any one of the at least one quality assessment parameter, presenting the quality assessment information of at least one sub-parameter under the quality assessment parameter.

7. A data processing apparatus, characterized in that the apparatus comprises:

8. A computer device, characterized in that the computer device comprises:

one or more processors;

a memory for storing the processor executable program code;

wherein the processor is configured to execute the program code to implement the data processing method of any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that program code in the computer-readable storage medium, when executed by a processor of a computer device, enables the computer device to perform the data processing method of any one of claims 1 to 6.

10. A computer program product comprising a computer program, characterized in that the computer program realizes the data processing method of any one of claims 1 to 6 when executed by a processor.