Data processing method, device, medium and electronic device

Abstract

The present disclosure relates to a data processing method, device, medium and electronic device, the method comprising: obtaining a problem to be processed; displaying resources in a resource area of ​​an editor, and displaying an initial processing strategy to be edited in a canvas area of ​​the editor, the resources being reference information for processing the problem, the initial processing strategy at least including a resource block to be filled with the resources; in response to a preset touch operation of a first user for selecting the resource, filling the resource into the resource block in the initial processing strategy that matches the resource, so as to obtain a target processing strategy that has been edited. The data processing method of the present disclosure can improve the editing efficiency of the target processing strategy.

Description

Technical Field

[0001] The present disclosure relates to the field of computer technology, and in particular, to a data processing method, device, medium and electronic device. Background Art

[0002] With the development of Internet technology, the demand for data analysis is increasing. In some practical scenarios, corresponding reports can be made based on the analysis results of data analysis to help users solve problems in the analysis results. In related technologies, reports can be made manually using the functions provided by the editor. However, manual operations on the editor are very complicated, which reduces the efficiency of report editing. Summary of the invention

[0003] This summary is provided to introduce concepts in a brief form that will be described in detail in the detailed description below. This summary is not intended to identify key features or essential features of the claimed technical solution, nor is it intended to limit the scope of the claimed technical solution.

[0004] In a first aspect, the present disclosure provides a data processing method, comprising:

[0005] Get pending issues;

[0006] Displaying resources in a resource area of ​​an editor, and displaying an initial processing strategy to be edited in a canvas area of ​​the editor, wherein the resources are reference information for processing the problem, and the initial processing strategy includes at least a resource block to be filled with the resources;

[0007] In response to a preset touch operation for selecting the resource by the first user, the resource is filled into the resource block matching the resource in the initial processing strategy to obtain an edited target processing strategy.

[0008] In a second aspect, the present disclosure provides a data processing device, comprising:

[0009] An acquisition module, configured to acquire issues to be processed;

[0010] A display module is configured to display resources in a resource area of ​​an editor and to display an initial processing strategy to be edited in a canvas area of ​​the editor, wherein the resources are reference information for processing the problem, and the initial processing strategy includes at least a resource block to be filled with the resources;

[0011] The filling module is configured to fill the resource into the resource block matching the resource in the initial processing strategy in response to a preset touch operation of the first user for selecting the resource, so as to obtain an edited target processing strategy.

[0012] In a third aspect, the present disclosure provides a computer-readable medium having a computer program stored thereon, which, when executed by a processing device, implements the steps of the method described in the first aspect.

[0013] In a fourth aspect, the present disclosure provides an electronic device, including:

[0014] a storage device having a computer program stored thereon;

[0015] A processing device is used to execute the computer program in the storage device to implement the steps of the method described in the first aspect.

[0016] Through the above technical solution, the first user can select resources in the resource area and fill the resources into the resource block matching the resources in the canvas area to obtain the edited target processing strategy. By linking the canvas area with the resource area, the target processing strategy can be assembled, which greatly simplifies the operation of the first user editing the target processing strategy, improves the editing efficiency of the target processing strategy, and saves the editing time of the target processing strategy.

[0017] Other features and advantages of the present disclosure will be described in detail in the following detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The above and other features, advantages and aspects of the embodiments of the present disclosure will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. Throughout the drawings, the same or similar reference numerals represent the same or similar elements. It should be understood that the drawings are schematic and the originals and elements are not necessarily drawn to scale. In the drawings:

[0019] Figure 1 The invention is a flowchart of a data processing method according to an exemplary embodiment.

[0020] Figure 2 The figure is a diagram of an editor interface according to an exemplary embodiment.

[0021] Figure 3 The following is a flowchart of determining a recommended account according to an exemplary embodiment.

[0022] Figure 4 The figure is a flowchart of displaying recommended accounts according to an exemplary embodiment.

[0023] Figure 5 The figure is a flowchart of displaying recommended videos according to an exemplary embodiment.

[0024] Figure 6 is a block diagram of a data processing device according to an exemplary embodiment.

[0025] Figure 7 It is a schematic structural diagram of an electronic device according to an exemplary embodiment. DETAILED DESCRIPTION

[0026] Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although certain embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be construed as being limited to the embodiments described herein, which are instead provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are only for exemplary purposes and are not intended to limit the scope of protection of the present disclosure.

[0027] It should be understood that the various steps described in the method embodiments of the present disclosure may be performed in different orders and / or in parallel. In addition, the method embodiments may include additional steps and / or omit the steps shown. The scope of the present disclosure is not limited in this respect.

[0028] The term "including" and its variations used herein are open inclusions, i.e., "including but not limited to". The term "based on" means "based at least in part on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". The relevant definitions of other terms will be given in the following description.

[0029] It should be noted that the concepts such as "first" and "second" mentioned in the present disclosure are only used to distinguish different devices, modules or units, and are not used to limit the order or interdependence of the functions performed by these devices, modules or units.

[0030] It should be noted that the modifications of "one" and "plurality" mentioned in the present disclosure are illustrative rather than restrictive, and those skilled in the art should understand that unless otherwise clearly indicated in the context, it should be understood as "one or more".

[0031] The names of the messages or information exchanged between multiple devices in the embodiments of the present disclosure are only used for illustrative purposes and are not used to limit the scope of these messages or information.

[0032] It is understandable that before using the technical solutions disclosed in the embodiments of the present disclosure, the types, scope of use, usage scenarios, etc. of the personal information involved in the present disclosure should be informed to the user and the user's authorization should be obtained in an appropriate manner in accordance with relevant laws and regulations.

[0033] For example, in response to receiving an active request from a user, a prompt message is sent to the user to clearly prompt the user that the operation requested to be performed will require obtaining and using the user's personal information. Thus, the user can autonomously choose whether to provide personal information to software or hardware such as an electronic device, application, server, or storage medium that performs the operation of the technical solution of the present disclosure according to the prompt message.

[0034] As an optional but non-limiting implementation, in response to receiving an active request from the user, the prompt information may be sent to the user in the form of a pop-up window, in which the prompt information may be presented in text form. In addition, the pop-up window may also carry a selection control for the user to choose "agree" or "disagree" to provide personal information to the electronic device.

[0035] It is understandable that the above notification and the process of obtaining user authorization are merely illustrative and do not constitute a limitation on the implementation of the present disclosure. Other methods that meet the relevant laws and regulations may also be applied to the implementation of the present disclosure.

[0036] At the same time, it is understandable that the data involved in this technical solution (including but not limited to the data itself, the acquisition or use of the data) shall comply with the requirements of relevant laws, regulations and relevant provisions.

[0037] As mentioned in the background technology, in the related art, reports can be made manually by using the functions provided by the editor, but this method has the following defects: the editor operation is very complicated. For example, the editor operation includes levels, selections, dragging, text input, component configuration, etc., which requires editors to undergo certain training, and the report editing efficiency is not high; the cost of editor operation is high, and a lot of time is required to edit the content and adjust the layout; the content entry of the editor is too dependent on manual labor, and the degree of automation of report editing is low.

[0038] Figure 1 FIG. 1 is a flow chart showing a data processing method according to an exemplary embodiment, and the data processing method can be applied to a terminal device. Figure 1 Said method may include the following steps.

[0039] Step 110, obtaining the problem to be processed.

[0040] The question may be an account question, and in some embodiments, the question may include a question about the target account of the second user. The target account may be a social media account, and it is understandable that the social media account may be different types of accounts, for example, an instant messaging account, a video account, or a public account, etc., and the present disclosure does not impose any limitation on this.

[0041] In some embodiments, the problem to be processed can be obtained based on the account data of the target account. The account data can be determined according to the actual situation. For example, taking the target account as a video account, the account data can include at least one of the following: video data, fan data, exposure data, conversion data, live broadcast data, and order data. Here, the method of obtaining and using user information can refer to the description of the previous part of the specific implementation method of this disclosure.

[0042] In a possible implementation, the account data of the target account may be manually analyzed or processed by a pre-trained problem analysis model to determine the problem to be processed. In some embodiments, the problem may be a problem raised for different dimensions. For example, still taking the aforementioned account data as an example, the problem may be a problem raised for dimensions such as video duration, video release frequency, video completion rate, or video picture quality. For example, the problem may be that the video duration is insufficient or the video completion rate is poor.

[0043] Step 120, displaying resources in the resource area of ​​the editor, and displaying the initial processing strategy to be edited in the canvas area of ​​the editor, the resources are reference information for processing problems, and the initial processing strategy includes at least a resource block of resources to be filled.

[0044] In some embodiments, the editor is used to edit the processing strategy, and the editor may include a resource area and a canvas area, wherein the resource area and the canvas area may be different areas, and the resource area and the canvas area do not overlap each other. For example, in the visual interface of the editor, the right interface and the left interface of the preset dividing line may be respectively determined as the resource area and the canvas area.

[0045] In some embodiments, the resource may be reference information for handling problems, which may provide the second user with directions and suggestions for solving the problem of the target account. The resource may be specifically set according to actual needs, and in some embodiments, the resource may include at least one of the following: recommended problem suggestions, recommended speech, recommended account, and recommended video.

[0046] In some embodiments, the recommended question suggestion may be a text pair consisting of a preset question and a suggestion for the preset question. The preset question in the recommended question suggestion may include possible problems that lead to the problem to be processed, that is, the cause of the problem to be processed, so that the cause and solution of the problem to be processed can be intuitively displayed to the second user in the target processing strategy through the recommended question suggestion.

[0047] In some embodiments, the preset questions in the recommended question suggestions may also include questions raised by the second user and / or questions set by the first user, wherein the questions raised by the second user may be collected by the first user, and the first user may be the editor of the processing strategy. By determining a text pair consisting of a question raised by the second user and a suggestion for the question as a recommended question suggestion, the questions raised by the second user and the answers can be centrally displayed in the target processing strategy, thereby improving the second user's satisfaction with the target processing strategy. By determining a text pair consisting of a question set by the first user and a suggestion for the question as a recommended question suggestion, the first user can customize the questions and answers for the problem to be processed, thereby further improving the second user's satisfaction with the target processing strategy.

[0048] In some embodiments, when the resource includes recommended question suggestions, before displaying the resource in the resource area of ​​the editor, the method also includes: based on the identification of the question to be processed, obtaining recommended question suggestions from a question suggestion library, the question suggestion library including multiple candidate question suggestions, each candidate question suggestion including a text pair consisting of a preset question and a suggestion for the preset question.

[0049] In some embodiments, the recommended speech may be a speech for solving the problem to be processed, and the recommended speech may be in the form of text. For example, the recommended speech may include live broadcast speech. In some embodiments, when the resource includes the recommended speech, before displaying the resource in the resource area of ​​the editor, the method further includes: based on the identification of the problem to be processed, obtaining the recommended speech from the speech library, the speech library including a plurality of candidate speech.

[0050] In some embodiments, the candidate question suggestions included in the question suggestion library and the candidate speech included in the speech library can be added, deleted, modified, searched, etc. by the first user.

[0051] In some embodiments, the recommended account may be an account whose preset account data is better than the target account. For example, taking the preset account data as the number of fans and / or the completion rate, the recommended account may be an account whose number of fans is higher than the target account and / or the completion rate is higher than the target account. For details on determining the recommended account, please refer to the following Figure 3 And the related description will not be repeated here.

[0052] In some embodiments, the recommended video may be a video whose preset video data is better than the target account's video. For example, taking the preset video data as the number of video likes and / or video comments, the recommended video may be a video whose video likes are higher than the target account's video, and / or video comments are higher than the target account's video. For details on determining the recommended video, see the following Figure 5 And the related description will not be repeated here.

[0053] It is worth noting that, in addition to being automatically obtained, the recommended question suggestions, recommended words, recommended accounts and recommended videos in the aforementioned resources can also be obtained through the settings of the first user, and the present disclosure does not impose any restrictions on this.

[0054] In some embodiments, the initial processing strategy may be a report that needs to be edited, and the initial processing strategy at least includes a resource block to be filled with resources. It can be understood that the resource block may be an area for filling resources.

[0055] In some embodiments, displaying the initial processing strategy to be edited in the canvas area of ​​the editor includes: obtaining template content that matches the problem; and displaying the initial processing strategy to be edited in the canvas area of ​​the editor based on the template content. In some embodiments, the template content that matches the problem can be obtained from the template library based on the identification of the problem. By setting different template contents for different problems, it is convenient for the first user to edit the target processing strategy (i.e., edit the report) in a targeted manner according to the problem to be processed, further simplifying the operation of the first user editing the report and improving the report editing efficiency of the first user.

[0056] In some embodiments, before obtaining template content that matches the problem, the method also includes: determining that there is no historical draft content, the historical draft content includes historically saved unedited processing strategies; the method also includes: if there is historical draft content, displaying the initial processing strategy to be edited in the canvas area of ​​the editor based on the historical draft content.

[0057] The historical draft content may be a previously saved unedited processing strategy of the first user. In some embodiments, the historical draft content may be saved in real time. By saving in real time, the risk of loss of edited content can be minimized. The disclosed embodiment automatically determines whether there is historical draft content before loading the template content, and automatically loads the historical draft content if there is historical draft content, thereby avoiding repeated editing by the first user and further improving the efficiency of the first user in editing the target processing strategy.

[0058] Step 130 , in response to the preset touch operation for selecting a resource by the first user, the resource is filled into a resource block matching the resource in the initial processing strategy to obtain an edited target processing strategy.

[0059] As mentioned above, resources may include at least one of the following: recommended question suggestions, recommended speech, recommended account, and recommended video. Therefore, it can be seen that resources may include multiple types. In some embodiments, different types of resources may correspond to different resource blocks.

[0060] For example, Figure 2 For example, Figure 2 The right side of the interface is the resource area, and the left side is the canvas area. The resource area includes the resources "Questions and Suggestions" and "Recommended Videos". Correspondingly, in the canvas area, the resources "Questions and Suggestions" and "Recommended Videos" correspond to different resource blocks shown in the dotted boxes, where the resource "Questions and Suggestions" includes question suggestions consisting of question 1 and suggestion 1, question suggestions consisting of question 2 and suggestion 2, question suggestions consisting of question 3 and suggestion 3, question suggestions consisting of question 4 and suggestion 4, and question suggestions consisting of question 5 and suggestion 5. It can be understood that this is only for the convenience of illustration. Figure 2 The editor interface shown is not a complete interface. Resources in the resource area and resource blocks in the canvas area can be added or deleted according to actual needs, and the present disclosure does not impose any restrictions on this.

[0061] The preset touch operation can be specifically set according to the actual situation. The preset touch operation may include clicking the add button after selecting a resource. Figure 2 For example, if the first user clicks on the "Questions and Suggestions" control above the resource area, and then selects the question suggestion consisting of Question 1 and Suggestion 1 in the Questions and Suggestions, and clicks the Add button (not shown), Question 1 and Suggestion 1 can be added to the resource block of "Questions and Suggestions" in the canvas area.

[0062] In some embodiments, in response to a preset touch operation of the first user for selecting a resource, filling the resource into a resource block that matches the resource in the initial processing strategy includes: in response to a preset touch operation of the first user for selecting a resource, filling the resource into a resource block that matches the resource in the canvas area according to a preset mapping relationship between the resource and the resource block. The preset mapping relationship may be a mapping relationship that reflects a resource type and a resource block type. For example, still taking the above example, the preset mapping relationship may include a mapping relationship between the resource "questions and suggestions" and its corresponding resource block.

[0063] In some embodiments, the resource block that matches the resource refers to the resource block that matches the type of the resource, and the position of the resource block in the canvas area is pre-set. By pre-setting the position of the resource block, it is equivalent to pre-setting the typesetting and layout of different types of resources in the canvas area, so that the first user does not need to spend a lot of time adjusting the typesetting and layout of each resource content in the canvas area, saving the first user's operation on the typesetting and layout of the report content, improving the editing efficiency of the report, and reducing the production cost of the report.

[0064] In the disclosed embodiment, the first user selects a resource in the resource area, and then fills the resource into the resource block matching the resource in the canvas area, thereby obtaining the edited target processing strategy. By linking the canvas area with the resource area, the target processing strategy is assembled, which greatly simplifies the operation of the first user editing the target processing strategy, improves the editing efficiency of the target processing strategy, and saves the editing time of the target processing strategy.

[0065] In some embodiments, the method further includes: in response to receiving a viewing request from the second user, sending the target processing policy to the second user; obtaining browsing data of the second user for the target processing policy, and displaying the browsing data to the first user.

[0066] In some embodiments, the second user is a user or operator of the target account. In some embodiments, the target processing policy can be sent to the second user through a target application, and the target application can be specifically determined according to actual needs, for example, the target application can be a video application.

[0067] In a possible manner, in response to receiving a viewing request from the second user, a sharing entrance can be sent to the second user, so that the second user can obtain the target processing strategy through the sharing entrance, thereby sending the target processing strategy to the second user. The sharing entrance can be presented in a variety of ways, for example, the sharing entrance can be a QR code or a link.

[0068] In some embodiments, the browsing data may include at least one of the following: browsing duration, browsing progress, and browsing times. In some embodiments, the browsing progress may be determined based on the resource block browsed by the second user at the time of collection. Since the position of the resource block in the target processing strategy is pre-set, the browsing progress may be calculated by determining the resource block browsed by the second user at the time of collection. It can be seen that the browsing progress may be quickly obtained through the resource block, thereby improving the efficiency of obtaining browsing data.

[0069] In some embodiments, the target processing strategy can be displayed to the first user and the second user by calling the same component. By calling the same component, the target processing strategy viewed by the first user and the second user can be the same content.

[0070] The disclosed embodiment displays the browsing data of the second user to the first user, so that the first user can better understand the reaction of the second user to the report, thereby facilitating the first user to adjust the content or words of communication with the second user.

[0071] In some embodiments, the method further includes: in response to the second user selecting a recommended account in the target processing strategy, jumping to the recommended account; and / or, in response to the second user selecting a recommended video in the target processing strategy, playing the recommended video.

[0072] Figure 3 is a flow chart of determining a recommended account according to an exemplary embodiment. In some embodiments, Figure 3 The process shown can be performed before the step of displaying resources in the resource area of ​​the editor. Figure 3 As described above, the process includes the following steps.

[0073] Step 310 , determining a first recalled account from each candidate account according to a first matching degree between a first account feature of the target account and a second account feature of each candidate account in the candidate account library.

[0074] Step 320, determining a second recalled account from each candidate account based on the similarity between the user feature vector of the second user and the account feature vector of each candidate account, the user feature vector is determined based on the user feature information of the second user, and the account feature vector is determined based on the second account feature of the candidate account.

[0075] Step 330: Determine a recommended account based on the first recalled account and the second recalled account.

[0076] In some embodiments, the first account feature or the second account feature may include at least one of the following: authentication information product words, fan information, video category, and user signature, etc.

[0077] In some embodiments, the user feature information may be the same as the first account feature information. In a possible manner, the first feature vector may be obtained by processing the user feature information of the second user according to a pre-trained language model, and the account feature vector may be obtained by processing the second account feature of the candidate account according to a pre-trained language model.

[0078] In some embodiments, the first recalled account and the second recalled account can be determined as recommended accounts, and the first recalled account and the second recalled account can also be screened according to preset conditions to determine the recommended account. The preset conditions can be specifically determined according to actual needs. For example, the preset condition can be that the first matching degree is less than the first preset threshold and / or the similarity is less than the second preset threshold. For another example, the preset condition can be that the first recalled account and the second recalled account are the same. The first recalled account and the second recalled account are the same, which indicates that different recall strategies have recalled the same account. Screening the same account, that is, deduplicating the same account, can avoid recommending duplicate accounts to the first user.

[0079] The first recalled account is determined by the first matching degree between the first account feature and the second account feature, that is, the account is recalled by feature information, and the second recalled account is determined from each candidate account by the similarity between vectors, that is, the account is recalled by vectorization, wherein the account recalled by vector similarity is more similar to the target account. The disclosed embodiment can recall accounts through multiple strategies, and the recalled account can be a similar account of the target account, so that the second user can learn the operation mode of the similar account, which is convenient for solving the problem of the target account of the second user.

[0080] In some embodiments, after determining the recommended account, the recommended account can be displayed in the resource area of ​​the editor. For specific details about displaying the recommended account, see the following Figure 4 And the related description will not be repeated here.

[0081] Figure 4 FIG. 1 is a flowchart showing a recommended account according to an exemplary embodiment. Figure 4 As described above, the process includes the following steps.

[0082] Step 410: Determine a similarity score between the recommended account and the target account based on the first matching degree and the similarity between the recommended account and the target account.

[0083] Step 420, determining the quality score of the recommended account based on the second account feature of the recommended account.

[0084] Step 430, sorting the recommended accounts based on the similarity score and the quality score to obtain a first sorting result.

[0085] Step 440: Based on the first ranking result, the recommended accounts are displayed in the resource area.

[0086] The first matching degree may be the degree of overlap between the first account feature and the second account feature. In some embodiments, a weighted operation (e.g., a weighted average operation) may be performed based on the first matching degree and the similarity, and the weighted operation result may be determined as the similarity score between the recommended account and the target account. A higher similarity score indicates that the target account is more similar to the recommended account. By calculating the similarity score together with the first matching degree and the similarity, the calculation accuracy of the similarity score may be improved.

[0087] As mentioned above, the second account feature may include at least one of the following: authentication information product words, ten thousand fans information, video category, and user signature, etc. In some embodiments, the number of fans, video completion rate, and / or video likes of the recommended account can be determined based on the second account feature, and the quality score of the recommended account can be determined based on the number of fans, video completion rate, and / or video likes. For example, the higher the number of fans, video completion rate, and / or video likes, the higher the quality of the recommended account.

[0088] In some embodiments, ranking the recommended accounts based on the similarity score and the quality score may include: determining a ranking score based on the similarity score and the quality score; and ranking the recommended accounts based on the ranking score. In some embodiments, a weighted operation (e.g., a weighted average operation) may be performed on the similarity score and the quality score to obtain a ranking score.

[0089] In some embodiments, the recommended accounts may be sorted from high to low based on the ranking score to obtain a first ranking result. In some embodiments, all recommended accounts in the first ranking result may be displayed in the resource area, or recommended accounts with a preset ranking in the first ranking result may be displayed in the resource area. The preset ranking may be specifically determined according to actual conditions, for example, the preset ranking may be the top 10 or 30.

[0090] The disclosed embodiment determines a recommended account and displays the recommended account to a first user, so that the recommended account can be displayed to a second user in a target processing strategy through a selection operation of the first user, thereby allowing the second user to learn the advertising creativity of the benchmark account, improve the production level of the advertising creativity, and thus improve the advertising effect.

[0091] In some embodiments, before displaying the resources in the resource area of ​​the editor, the method also includes: determining a recommended video from each candidate video based on a second matching degree between a first video feature of the target video of the target account and a second video feature of each candidate video in the candidate video library.

[0092] In some embodiments, the target video may be a video posted in the target account within a preset time period. The preset time period may be determined based on actual conditions, for example, the preset time period may be three days or a week before the current date.

[0093] In some embodiments, the first video feature or the second video feature may include at least one of the following: the number of video likes, the video completion rate, and the field to which the video belongs. The field to which the video belongs may be determined according to the application platform of the video, for example, the field to which the video belongs may include beauty, clothing, or fitness.

[0094] The second matching degree may refer to the degree of overlap between the first video feature and the second video feature. In some embodiments, the candidate video whose second matching degree is greater than the third threshold value may be determined as a recommended video. After the recommended video is determined, the recommended video may be displayed in the resource area of ​​the editor. For details about displaying the recommended video, see the following Figure 5 And the related description will not be repeated here.

[0095] Figure 5 FIG. 1 is a flowchart of displaying recommended videos according to an exemplary embodiment. Figure 5As described above, the process includes the following steps.

[0096] Step 510: sort the recommended videos according to a second matching degree between the second video feature of the recommended videos and the first video feature to obtain a second sorting result.

[0097] Step 520: Based on the second ranking result, the recommended videos are displayed in the resource area.

[0098] In some embodiments, the recommended videos may be sorted from high to low based on the second matching degree to obtain a second sorting result. In some embodiments, all recommended videos in the second sorting result may be displayed in the resource area, or recommended videos with a preset ranking in the second sorting result may be displayed in the resource area. The preset ranking may be specifically determined according to actual conditions, for example, the preset ranking may be the top 10 or 30.

[0099] The disclosed embodiment determines a recommended video and displays the recommended video to a first user, so that the recommended video can be displayed to a second user in a target processing strategy through a selection operation of the first user, thereby allowing the second user to learn advertising creativity from high-quality videos, improve the production level of advertising creativity, and thus improve advertising effectiveness.

[0100] Figure 6 FIG. 1 is a block diagram of a data processing device according to an exemplary embodiment. Figure 6 The data processing device 600 includes:

[0101] An acquisition module 610 is configured to acquire a problem to be processed;

[0102] A display module 620 is configured to display resources in a resource area of ​​an editor and to display an initial processing strategy to be edited in a canvas area of ​​the editor, wherein the resources are reference information for processing the problem, and the initial processing strategy includes at least a resource block to be filled with the resources;

[0103] The filling module 630 is configured to fill the resource into the resource block matching the resource in the initial processing strategy in response to a preset touch operation for selecting the resource by the first user, so as to obtain an edited target processing strategy.

[0104] In some embodiments, the display module 620 is further configured to:

[0105] Get the template content matching the question;

[0106] Based on the template content, the initial processing strategy to be edited is displayed in the canvas area of ​​the editor.

[0107] In some embodiments, the apparatus further comprises:

[0108] A first determination module is configured to determine that there is no historical draft content, wherein the historical draft content includes a historically saved unedited processing strategy;

[0109] The display module 620 is further configured to display the initial processing strategy to be edited in the canvas area of ​​the editor according to the historical draft content when the historical draft content exists.

[0110] In some embodiments, the filling module 630 is further configured to:

[0111] In response to the preset touch operation for selecting the resource by the first user, the resource is filled into the resource block matching the resource in the canvas area according to a preset mapping relationship between the resource and the resource block.

[0112] In some embodiments, the question includes a question of a target account of the second user, the resource includes a recommended account, and the apparatus further includes:

[0113] a second determination module configured to determine a first recalled account from each candidate account according to a first matching degree between a first account feature of the target account and a second account feature of each candidate account in the candidate account library;

[0114] a third determination module, configured to determine a second recalled account from each of the candidate accounts according to a similarity between a user feature vector of the second user and an account feature vector of each of the candidate accounts, wherein the user feature vector is determined based on user feature information of the second user, and the account feature vector is determined based on a second account feature of the candidate account;

[0115] The fourth determining module is configured to determine the recommended account according to the first recalled account and the second recalled account.

[0116] In some embodiments, the display module 620 is further configured to:

[0117] determining a similarity score between the recommended account and the target account according to the first matching degree and the similarity between the recommended account and the target account;

[0118] determining a quality score of the recommended account according to the second account feature of the recommended account;

[0119] Sorting the recommended accounts based on the similarity score and the quality score to obtain a first sorting result;

[0120] Based on the first ranking result, the recommended account is displayed in the resource area.

[0121] In some embodiments, the resource further includes a recommended video, and the apparatus further includes:

[0122] The fifth determination module is configured to determine the recommended video from each candidate video according to a second matching degree between the first video feature of the target video of the target account and the second video feature of each candidate video in the candidate video library.

[0123] In some embodiments, the display module 620 is further configured to:

[0124] sorting the recommended videos according to the second matching degree between the second video feature of the recommended videos and the first video feature to obtain a second sorting result;

[0125] Based on the second sorting result, the recommended video is displayed in the resource area.

[0126] In some embodiments, the apparatus further comprises:

[0127] a sending module, configured to send the target processing policy to the second user in response to receiving a viewing request from the second user;

[0128] The acquisition module is configured to acquire the browsing data of the second user for the target processing strategy and display the browsing data to the first user.

[0129] Reference below Figure 7 , which shows an electronic device (eg, Figure 1 The terminal device in the embodiment of the present disclosure may include but is not limited to mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 7 The electronic device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present disclosure.

[0130] like Figure 7As shown, the electronic device 700 may include a processing device (e.g., a central processing unit, a graphics processing unit, etc.) 701, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 702 or a program loaded from a storage device 708 into a random access memory (RAM) 703. In the RAM 703, various programs and data required for the operation of the electronic device 700 are also stored. The processing device 701, the ROM 702, and the RAM 703 are connected to each other via a bus 704. An input / output (I / O) interface 705 is also connected to the bus 704.

[0131] Typically, the following devices may be connected to the I / O interface 705: an input device 706 including, for example, a touch screen, a touch pad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; an output device 707 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; a storage device 708 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 709. The communication device 709 may allow the electronic device 700 to communicate with other devices wirelessly or by wire to exchange data. Although Figure 7 The electronic device 700 is shown with various devices, but it should be understood that it is not required to implement or possess all the devices shown. More or fewer devices may be implemented or possessed instead.

[0132] In particular, according to an embodiment of the present disclosure, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present disclosure includes a computer program product, which includes a computer program carried on a non-transitory computer-readable medium, and the computer program contains program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device 709, or installed from a storage device 708, or installed from a ROM 702. When the computer program is executed by the processing device 701, the above-mentioned functions defined in the method of the embodiment of the present disclosure are executed.

[0133] It should be noted that the computer-readable medium disclosed above may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present disclosure, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in combination with an instruction execution system, device or device. In the present disclosure, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, in which a computer-readable program code is carried. This propagated data signal may take a variety of forms, including but not limited to an electromagnetic signal, an optical signal, or any suitable combination of the above. The computer readable signal medium may also be any computer readable medium other than a computer readable storage medium, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. The program code contained on the computer readable medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0134] In some embodiments, the client can communicate using any currently known or future developed network protocol such as HTTP (HyperText Transfer Protocol), and can be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), an internet (e.g., the Internet), and a peer-to-peer network (e.g., an ad hoc peer-to-peer network), as well as any currently known or future developed network.

[0135] The computer-readable medium may be included in the electronic device, or may exist independently without being incorporated into the electronic device.

[0136] The above-mentioned computer-readable medium carries one or more programs. When the above-mentioned one or more programs are executed by the electronic device, the electronic device: obtains the problem to be processed; displays the resources in the resource area of ​​the editor, and displays the initial processing strategy to be edited in the canvas area of ​​the editor, wherein the resources are reference information for processing the problem, and the initial processing strategy at least includes a resource block to be filled with the resources; in response to a preset touch operation of the first user for selecting the resource, the resource is filled into the resource block in the initial processing strategy that matches the resource to obtain the target processing strategy after editing.

[0137] Computer program code for performing the operations of the present disclosure may be written in one or more programming languages ​​or a combination thereof, including, but not limited to, object-oriented programming languages, such as Java, Smalltalk, C++, and conventional procedural programming languages, such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0138] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present disclosure. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some implementations as replacements, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0139] The modules involved in the embodiments described in the present disclosure may be implemented by software or hardware, wherein the name of a module does not, in some cases, limit the module itself.

[0140] The functions described above herein may be performed at least in part by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), complex programmable logic devices (CPLDs), and the like.

[0141] In the context of the present disclosure, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or equipment, or any suitable combination of the foregoing. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0142] According to one or more embodiments of the present disclosure, Example 1 provides a data processing method, including:

[0143] Get pending issues;

[0144] Displaying resources in a resource area of ​​an editor, and displaying an initial processing strategy to be edited in a canvas area of ​​the editor, wherein the resources are reference information for processing the problem, and the initial processing strategy includes at least a resource block to be filled with the resources;

[0145] In response to a preset touch operation for selecting the resource by the first user, the resource is filled into the resource block matching the resource in the initial processing strategy to obtain an edited target processing strategy.

[0146] According to one or more embodiments of the present disclosure, Example 2 provides a data processing method of Example 1, wherein displaying an initial processing strategy to be edited in a canvas area of ​​the editor includes:

[0147] Get the template content matching the question;

[0148] Based on the template content, the initial processing strategy to be edited is displayed in the canvas area of ​​the editor.

[0149] According to one or more embodiments of the present disclosure, Example 3 provides the data processing method of Example 1, and before obtaining the template content matching the question, the method further includes:

[0150] Determining that there is no historical draft content, wherein the historical draft content includes a historically saved unedited processing strategy;

[0151] The method further comprises:

[0152] In the case where the historical draft content exists, the initial processing strategy to be edited is displayed in the canvas area of ​​the editor according to the historical draft content.

[0153] According to one or more embodiments of the present disclosure, Example 4 provides the data processing method of Example 1, wherein in response to a preset touch operation of a first user for selecting the resource, filling the resource into the resource block matching the resource in the initial processing strategy includes:

[0154] In response to the preset touch operation for selecting the resource by the first user, the resource is filled into the resource block matching the resource in the canvas area according to a preset mapping relationship between the resource and the resource block.

[0155] According to one or more embodiments of the present disclosure, Example 5 provides a data processing method of Example 1, wherein the question includes a question of a target account of a second user, the resource includes a recommended account, and before displaying the resource in the resource area of ​​the editor, the method further includes:

[0156] Determining a first recalled account from each of the candidate accounts according to a first matching degree between the first account feature of the target account and the second account feature of each of the candidate accounts in the candidate account library;

[0157] Determining a second recalled account from each of the candidate accounts according to a similarity between a user feature vector of the second user and an account feature vector of each of the candidate accounts, wherein the user feature vector is determined based on user feature information of the second user, and the account feature vector is determined based on the second account feature of the candidate account;

[0158] The recommended account is determined according to the first recalled account and the second recalled account.

[0159] According to one or more embodiments of the present disclosure, Example 6 provides the data processing method of Example 5, wherein displaying resources in a resource area of ​​an editor includes:

[0160] determining a similarity score between the recommended account and the target account according to the first matching degree and the similarity between the recommended account and the target account;

[0161] determining a quality score of the recommended account according to the second account feature of the recommended account;

[0162] Sorting the recommended accounts based on the similarity score and the quality score to obtain a first sorting result;

[0163] Based on the first ranking result, the recommended account is displayed in the resource area.

[0164] According to one or more embodiments of the present disclosure, Example 7 provides the data processing method of Example 5, wherein the resource further includes a recommended video, and before displaying the resource in the resource area of ​​the editor, the method further includes:

[0165] The recommended video is determined from each of the candidate videos according to a second matching degree between the first video feature and a second video feature of each candidate video in the candidate video library.

[0166] According to one or more embodiments of the present disclosure, Example 8 provides the data processing method of Example 7, wherein displaying resources in a resource area of ​​an editor includes:

[0167] sorting the recommended videos according to the second matching degree between the second video feature of the recommended videos and the first video feature to obtain a second sorting result;

[0168] Based on the second sorting result, the recommended video is displayed in the resource area.

[0169] According to one or more embodiments of the present disclosure, Example 9 provides the data processing method of Example 1, the method further comprising:

[0170] In response to receiving a viewing request from a second user, sending the target processing policy to the second user;

[0171] The browsing data of the second user for the target processing strategy is obtained, and the browsing data is displayed to the first user.

[0172] According to one or more embodiments of the present disclosure, Example 10 provides a data processing device, including:

[0173] An acquisition module, configured to acquire issues to be processed;

[0174] A display module is configured to display resources in a resource area of ​​an editor and to display an initial processing strategy to be edited in a canvas area of ​​the editor, wherein the resources are reference information for processing the problem, and the initial processing strategy includes at least a resource block to be filled with the resources;

[0175] The filling module is configured to fill the resource into the resource block matching the resource in the initial processing strategy in response to a preset touch operation of the first user for selecting the resource, so as to obtain an edited target processing strategy.

[0176] According to one or more embodiments of the present disclosure, Example 11 provides the data processing device of Example 10, wherein the presentation module is further configured to:

[0177] Get the template content matching the question;

[0178] Based on the template content, the initial processing strategy to be edited is displayed in the canvas area of ​​the editor.

[0179] According to one or more embodiments of the present disclosure, Example 12 provides the data processing device of Example 10, wherein the device further includes:

[0180] A first determination module is configured to determine that there is no historical draft content, wherein the historical draft content includes a historically saved unedited processing strategy;

[0181] The display module is further configured to display the initial processing strategy to be edited in the canvas area of ​​the editor according to the historical draft content when the historical draft content exists.

[0182] According to one or more embodiments of the present disclosure, Example 13 provides the data processing device of Example 10, wherein the filling module is further configured to:

[0183] In response to the preset touch operation for selecting the resource by the first user, the resource is filled into the resource block matching the resource in the canvas area according to a preset mapping relationship between the resource and the resource block.

[0184] According to one or more embodiments of the present disclosure, Example 14 provides a data processing device of Example 10, wherein the question includes a question of a target account of a second user, the resource includes a recommended account, and the device further includes:

[0185] a second determination module configured to determine a first recalled account from each candidate account according to a first matching degree between a first account feature of the target account and a second account feature of each candidate account in the candidate account library;

[0186] a third determination module, configured to determine a second recalled account from each of the candidate accounts according to a similarity between a user feature vector of the second user and an account feature vector of each of the candidate accounts, the user feature vector being determined based on user feature information of the second user, and the account feature vector being determined based on the second account feature of the candidate account;

[0187] The fourth determining module is configured to determine the recommended account according to the first recalled account and the second recalled account.

[0188] According to one or more embodiments of the present disclosure, Example 15 provides the data processing device of Example 14, wherein the presentation module is further configured to:

[0189] determining a similarity score between the recommended account and the target account according to the first matching degree and the similarity between the recommended account and the target account;

[0190] determining a quality score of the recommended account according to the second account feature of the recommended account;

[0191] Sorting the recommended accounts based on the similarity score and the quality score to obtain a first sorting result;

[0192] Based on the first ranking result, the recommended account is displayed in the resource area.

[0193] According to one or more embodiments of the present disclosure, Example 16 provides the data processing device of Example 14, wherein the resource further includes a recommended video, and the device further includes:

[0194] The fifth determination module is configured to determine the recommended video from each candidate video according to a second matching degree between the first video feature and a second video feature of each candidate video in the candidate video library.

[0195] According to one or more embodiments of the present disclosure, Example 17 provides the data processing device of Example 16, wherein the presentation module is further configured to:

[0196] sorting the recommended videos according to the second matching degree between the second video feature of the recommended videos and the first video feature to obtain a second sorting result;

[0197] Based on the second sorting result, the recommended video is displayed in the resource area.

[0198] According to one or more embodiments of the present disclosure, Example 18 provides the data processing device of Example 10, wherein the device further includes:

[0199] a sending module, configured to send the target processing policy to the second user in response to receiving a viewing request from the second user;

[0200] The acquisition module is configured to acquire the browsing data of the second user for the target processing strategy and display the browsing data to the first user.

[0201] The above description is only a preferred embodiment of the present disclosure and an explanation of the technical principles used. Those skilled in the art should understand that the scope of disclosure involved in the present disclosure is not limited to the technical solutions formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above disclosed concept. For example, the above features are replaced with the technical features with similar functions disclosed in the present disclosure (but not limited to) by each other to form a technical solution.

[0202] In addition, although each operation is described in a specific order, this should not be understood as requiring these operations to be performed in the specific order shown or in a sequential order. Under certain circumstances, multitasking and parallel processing may be advantageous. Similarly, although some specific implementation details are included in the above discussion, these should not be interpreted as limiting the scope of the present disclosure. Some features described in the context of a separate embodiment can also be implemented in a single embodiment in combination. On the contrary, the various features described in the context of a single embodiment can also be implemented in multiple embodiments individually or in any suitable sub-combination mode.

[0203] Although the subject matter has been described in language specific to structural features and / or method logic actions, it should be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or actions described above. On the contrary, the specific features and actions described above are merely example forms of implementing the claims. Regarding the device in the above embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.

Claims

1. A data processing method, characterized in that: include: Get pending issues; Displaying resources in a resource area of ​​the editor, and displaying an initial processing strategy to be edited in a canvas area of ​​the editor, wherein the resources are reference information for processing the problem, the initial processing strategy at least includes a resource block to be filled with the resources, the problem includes a problem of a target account of the second user, and the resources include at least one of the following: recommended problem suggestions, recommended words, recommended accounts, and recommended videos; In response to a preset touch operation for selecting the resource by the first user, the resource is filled into the resource block matching the resource in the initial processing strategy to obtain an edited target processing strategy.

2. The data processing method according to claim 1, characterized in that: The initial processing strategy to be edited is displayed in the canvas area of ​​the editor, including: Get the template content matching the question; Based on the template content, the initial processing strategy to be edited is displayed in the canvas area of ​​the editor.

3. The data processing method according to claim 1, characterized in that: Before obtaining the template content matching the question, the method further includes: Determining that there is no historical draft content, wherein the historical draft content includes a historically saved unedited processing strategy; The method further comprises: In the case where the historical draft content exists, the initial processing strategy to be edited is displayed in the canvas area of ​​the editor according to the historical draft content.

4. The data processing method according to claim 1, characterized in that: In response to a preset touch operation for selecting the resource by the first user, filling the resource into the resource block matching the resource in the initial processing strategy comprises: In response to the preset touch operation for selecting the resource by the first user, the resource is filled into the resource block matching the resource in the canvas area according to a preset mapping relationship between the resource and the resource block.

5. The data processing method according to claim 1, characterized in that: Before displaying the resource in the resource area of ​​the editor, the method further includes: Determining a first recalled account from each of the candidate accounts according to a first matching degree between the first account feature of the target account and the second account feature of each of the candidate accounts in the candidate account library; Determining a second recalled account from each of the candidate accounts according to a similarity between a user feature vector of the second user and an account feature vector of each of the candidate accounts, wherein the user feature vector is determined based on user feature information of the second user, and the account feature vector is determined based on the second account feature of the candidate account; The recommended account is determined according to the first recalled account and the second recalled account.

6. The data processing method according to claim 5, characterized in that: The display of resources in the resource area of ​​the editor includes: determining a similarity score between the recommended account and the target account according to the first matching degree and the similarity between the recommended account and the target account; determining a quality score of the recommended account according to the second account feature of the recommended account; Sorting the recommended accounts based on the similarity score and the quality score to obtain a first sorting result; Based on the first ranking result, the recommended account is displayed in the resource area.

7. The data processing method according to claim 5, characterized in that: Before displaying the resource in the resource area of ​​the editor, the method further includes: The recommended video is determined from each of the candidate videos according to a second matching degree between a first video feature of the target video of the target account and a second video feature of each candidate video in the candidate video library.

8. The data processing method according to claim 7, characterized in that: The display of resources in the resource area of ​​the editor includes: sorting the recommended videos according to the second matching degree between the second video feature of the recommended videos and the first video feature to obtain a second sorting result; Based on the second sorting result, the recommended video is displayed in the resource area.

9. The data processing method according to claim 1, characterized in that: The method further comprises: In response to receiving a viewing request from a second user, sending the target processing policy to the second user; The browsing data of the second user for the target processing strategy is obtained, and the browsing data is displayed to the first user.

10. A data processing device, characterized in that: include: An acquisition module, configured to acquire issues to be processed; a display module configured to display resources in a resource area of ​​an editor, and to display an initial processing strategy to be edited in a canvas area of ​​the editor, wherein the resources are reference information for processing the problem, the initial processing strategy at least includes a resource block to be filled with the resources, the problem includes a problem of a target account of a second user, and the resource includes at least one of the following: recommended problem suggestions, recommended speech, recommended account, and recommended video; The filling module is configured to fill the resource into the resource block matching the resource in the initial processing strategy in response to a preset touch operation of the first user for selecting the resource, so as to obtain an edited target processing strategy.

11. A computer readable medium having a computer program stored thereon, characterized in that: When the program is executed by a processing device, the steps of the method described in any one of claims 1 to 9 are implemented.

12. An electronic device, characterized in that: include: a storage device having a computer program stored thereon; A processing device, configured to execute the computer program in the storage device to implement the steps of the method according to any one of claims 1 to 9.

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