WO2024001694A1 - 数据处理方法、装置、设备及存储介质 - Google Patents

数据处理方法、装置、设备及存储介质 Download PDF

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Publication number
WO2024001694A1
WO2024001694A1 PCT/CN2023/098579 CN2023098579W WO2024001694A1 WO 2024001694 A1 WO2024001694 A1 WO 2024001694A1 CN 2023098579 W CN2023098579 W CN 2023098579W WO 2024001694 A1 WO2024001694 A1 WO 2024001694A1
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WO
WIPO (PCT)
Prior art keywords
recommended content
adjustment control
content adjustment
target
recommendation
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Application number
PCT/CN2023/098579
Other languages
English (en)
French (fr)
Inventor
王�琦
刘兰
Original Assignee
北京字跳网络技术有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 北京字跳网络技术有限公司 filed Critical 北京字跳网络技术有限公司
Priority to JP2024575123A priority Critical patent/JP2025519854A/ja
Priority to EP23829878.0A priority patent/EP4528548A4/en
Priority to US18/715,488 priority patent/US20250036696A1/en
Publication of WO2024001694A1 publication Critical patent/WO2024001694A1/zh

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Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9535—Search customisation based on user profiles and personalisation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/33—Querying
    • G06F16/335—Filtering based on additional data, e.g. user or group profiles
    • G06F16/337—Profile generation, learning or modification
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/245—Query processing
    • G06F16/2457—Query processing with adaptation to user needs
    • G06F16/24578—Query processing with adaptation to user needs using ranking
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9538—Presentation of query results

Definitions

  • the present disclosure relates to the field of data processing, and in particular, to a data processing method, device, equipment and storage medium.
  • embodiments of the present disclosure provide a data processing solution.
  • the present disclosure provides a data processing method, which method includes:
  • a recommendation strength value corresponding to the target recommended content adjustment control is determined; wherein the recommendation strength value is used to adjust the The target application adjusts the recommendation amount of the content type identified by the recommended content tag corresponding to the target recommended content adjustment control.
  • the recommended content adjustment control also displays a recommendation intensity adjustment state corresponding to the recommended content tag.
  • the recommendation intensity adjustment state is used to represent the recommendation intensity value corresponding to the recommended content tag and the default recommendation.
  • the recommendation intensity adjustment state corresponding to the target recommended content adjustment control is updated and displayed.
  • determining the recommendation strength value corresponding to the target recommended content adjustment control includes:
  • the method further includes:
  • the target recommended content adjustment control is deleted from the recommended content adjustment page.
  • deleting the target recommended content adjustment control from the recommended content adjustment page includes:
  • the target recommended content adjustment control is the last recommended content adjustment control on the recommended content adjustment page
  • the method further includes:
  • At least one optional adjustment control is displayed in the preset label recommendation area on the recommended content adjustment page; wherein, A recommended content label is displayed on the optional adjustment control;
  • the target optional adjustment control with the recommendation strength value is added to the recommended content adjustment control displayed on the recommended content adjustment page.
  • a first control is also displayed on the recommended content adjustment page, and the method further includes:
  • the at least one recommended content tag is added to the recommended content adjustment page, and the selected content tag is displayed on the recommended content adjustment page.
  • the recommended content adjustment controls respectively corresponding to at least one recommended content tag are described.
  • displaying the recommended content adjustment controls respectively corresponding to the at least one recommended content tag on the recommended content adjustment page includes:
  • the at least one recommended content tag is displayed in a preset editing state, respectively.
  • the corresponding recommended content adjustment control is described in detail below.
  • a second control is also displayed on the recommended content adjustment page; in response to a preset adjustment operation for a target recommended content adjustment control in the at least one recommended content adjustment control, determining the target After the recommendation strength value corresponding to the recommended content adjustment control, it also includes:
  • the corresponding relationship between the recommended content tag corresponding to the target recommended content adjustment control and the recommendation strength value is stored.
  • the method further includes:
  • each recommendation is configured on the recommended content adjustment page.
  • the present disclosure provides a data processing device, which includes:
  • the first display module is used to display at least one recommended content adjustment control on the recommended content adjustment page; wherein the recommended content adjustment control displays a recommended content label, and the recommended content label is used to identify the content type recommended by the target application. ;
  • the first determination module is configured to determine the recommendation intensity value corresponding to the target recommended content adjustment control in response to a preset adjustment operation for the target recommended content adjustment control in the at least one recommended content adjustment control; wherein the recommendation The intensity value is used to adjust the amount of recommendation by the target application for the content type identified by the recommended content tag corresponding to the target recommended content adjustment control.
  • the present disclosure provides a computer-readable storage medium. Instructions are stored in the computer-readable storage medium. When the instructions are run on a terminal device, the terminal device causes the terminal device to implement the instructions described in the present disclosure. Methods.
  • the present disclosure provides a data processing device, including: a memory, and a processor, a computer program is stored on the memory, the computer program can be run on the processor, and the computer program is executed by the processor.
  • the processor when executed, implements the methods described in this disclosure.
  • the disclosure provides a computer program product, which includes a computer program/instructions that, when executed by a processor, implements the method described in the disclosure.
  • the present disclosure provides a computer program, the computer program including program code, which when executed by a processor implements the method described in the present disclosure.
  • Figure 1 is a flow chart of a data processing method provided by an embodiment of the present disclosure
  • Figure 2 is a schematic diagram of a recommended content adjustment page provided by an embodiment of the present disclosure
  • Figure 3 is a schematic diagram of another recommended content adjustment page provided by an embodiment of the present disclosure.
  • Figure 4 is a schematic diagram of another recommended content adjustment page provided by an embodiment of the present disclosure.
  • Figure 5 is a schematic diagram of a content tag page provided by an embodiment of the present disclosure.
  • Figure 6 is a schematic structural diagram of a data processing device provided by an embodiment of the present disclosure.
  • Figure 7 is a schematic structural diagram of a data processing device provided by an embodiment of the present disclosure.
  • the content recommendation function involved in the current application only supports a single setting for the content type that the user is interested in. For example, for the same content type, such as travel-type videos, there are only two recommendation methods based on user-based content recommendation settings. One can recommend travel-type videos to the user, and the other cannot recommend travel-type videos to the user. Recommended to users. It can be seen that the current adjustment granularity of content recommendation methods is relatively coarse and cannot meet the growing needs of users for content recommendation.
  • embodiments of the present disclosure provide a data processing solution.
  • at least one recommended content adjustment control is displayed on the recommended content adjustment page, where the recommended content adjustment control displays a recommended content label, and the recommended content label is used to identify The type of content recommended by the target app.
  • the recommendation strength value is used to Adjust the amount of recommendation of the content type identified by the recommended content tag corresponding to the target recommended content adjustment control by the target application.
  • the embodiment of the present disclosure determines the recommendation strength value of the content type identified by the recommended content tag corresponding to the target recommended content adjustment control through the preset adjustment operation, thereby achieving a more fine-grained adjustment of the recommendation amount of each recommended content type, and satisfies the requirements Users’ growing demand for content recommendation.
  • an embodiment of the present disclosure provides a data processing method.
  • Figure 1 is a flow chart of a data processing method provided by an embodiment of the present disclosure. The method includes:
  • S101 Display at least one recommended content adjustment control on the recommended content adjustment page.
  • a recommended content label is displayed on the recommended content adjustment control, and the recommended content label is used to identify the content type recommended by the target application.
  • the target application may be a content recommendation application, such as a video recommendation application, a news application, a music application, etc.
  • the recommended content adjustment control is used to adjust the recommendation amount of the content type identified by the corresponding recommended content tag.
  • the recommended content adjustment control may be in the form of an infinite slider. By controlling the sliding position of the infinite slider, the amount of recommendation of the content type can be adjusted.
  • the recommended content adjustment control can display icons, copywriting and other information with corresponding recommended content tags.
  • FIG. 2 it is a schematic diagram of a recommended content adjustment page provided by an embodiment of the present disclosure, in which multiple recommended content adjustment controls are displayed on the recommended content adjustment page.
  • the recommended content adjustment control 201 As an example, the recommended content adjustment page A recommended content label "food review” is displayed on the control 201, and "food review” is used to identify the content type of food review recommended by the target application.
  • the recommended content adjustment control also displays a recommendation strength adjustment state corresponding to the recommended content label.
  • the recommendation strength adjustment state is used to represent the relationship between the recommendation strength value corresponding to the recommended content label and the default recommendation strength value.
  • the recommendation intensity adjustment state may include three adjustment states, specifically increasing recommendation, default recommendation, and decreasing recommendation. Among them, increase recommendation is used to indicate an adjustment status that is greater than the default recommendation strength value, indicating that the target application needs to increase the amount of recommendations for the content type corresponding to the recommended content label with the "increase recommendation” adjustment status; decrease recommendation is used to indicate that the recommendation strength value is less than the default recommendation strength value
  • the adjustment status indicates that the target application needs to reduce the amount of recommendations for the content type corresponding to the recommended content tag with the "Reduce Recommendation" adjustment status
  • the default recommendation represents an adjustment status equal to the default recommendation strength value, that is, the recommended content tag for which the user has not adjusted the recommendation strength.
  • the default recommended adjustment status can be displayed to explain the purpose.
  • the standard application does not need to adjust the amount of recommendations for the content type corresponding to the recommended content tag with the "Reduce Recommendation" adjustment status.
  • the recommendation intensity adjustment state may include five adjustment states, specifically increasing recommendation, increasing recommendation, default recommendation, reducing recommendation, and not recommending. Strongly increasing recommendation is used to indicate a greater degree than the default recommendation intensity.
  • the adjustment status of the value indicates that the target application needs to increase the amount of recommendations to a large extent for the content type corresponding to the recommended content tag with the adjustment status of "Strongly increase recommendations"; it is not recommended to be used to indicate the adjustment status with a recommendation intensity value of 0, indicating that the target The application needs to prohibit recommendation for the content type corresponding to the recommended content label with the "not recommended" adjustment status.
  • the details of other adjustment states can be understood with reference to the above.
  • the recommendation intensity adjustment state corresponding to the recommended content tag is determined based on the relationship between the recommendation intensity value of the recommended content tag and the default recommendation intensity value. Specifically, the types of specific conditioning states included in the recommended intensity conditioning state are not subject to the above restrictions.
  • the recommended content label “Food Review” is displayed on the recommended content adjustment control 201, and its corresponding recommendation intensity adjustment status is "Add Recommendation”, which is used to indicate the content type needs of the target application for "Food Review” Increase referral volume.
  • the recommended content adjustment control 202 shown in Figure 2 displays the recommended content label “People Snap”, and its corresponding recommendation intensity adjustment state is "Default Recommendation”, which is used to represent the content of the target application for "Character Snap" The type does not need to be adjusted in the recommended amount.
  • the recommendation strength value is used to adjust the amount of recommendation by the target application for the content type identified by the recommended content tag corresponding to the target recommended content adjustment control.
  • the user can adjust the recommendation intensity by displaying at least one recommended content adjustment control on the recommended content adjustment page.
  • the target recommended content adjustment control may be any recommended content adjustment control displayed on the recommended content adjustment page.
  • the recommendation strength value corresponding to the target recommended content adjustment control is determined based on the preset adjustment operation, that is, the recommendation strength corresponding to the recommended content label displayed on the target recommended content adjustment control value.
  • the preset adjustment operation may be a sliding operation on the target recommended content adjustment control.
  • the preset adjustment operation may also be a combination of first clicking on the target recommended content adjustment control and then triggering a sliding operation on the target recommended content adjustment control. .
  • the embodiments of the present disclosure do not limit this.
  • users can achieve target recommendation by sliding the target recommendation content adjustment control. Adjust the recommendation strength value corresponding to the content adjustment control. Specifically, sliding to the right can increase the recommendation strength value, while sliding to the left can decrease the recommendation strength value. Assuming that the style of the target recommended content adjustment control is an infinite slider, the recommendation strength value corresponding to the target recommended content adjustment control can be adjusted by controlling the sliding of the infinite slider.
  • the user can respectively adjust the recommendation strength value for at least one recommended content adjustment control displayed on the recommended content adjustment page, thereby determining the recommendation strength value corresponding to the at least one recommended content adjustment control for adjusting the target.
  • a second control 203 is also displayed on the recommended content adjustment page. As shown in Figure 2 above, the second control 203 is used to trigger the saving of the adjusted recommendation strength value. Specifically, the second control 203 may be a "Complete" control. After the user clicks the "Finish” control, the storage of the corresponding relationship between the recommended content tag and the recommendation strength value corresponding to each adjusted recommended content adjustment control on the recommended content adjustment page can be triggered.
  • the corresponding relationship between the recommended content tag corresponding to the target recommended content adjustment control and the recommendation strength value is stored so that it can be subsequently applied to the content recommendation strategy of the target application.
  • the corresponding relationship between the recommended content tag corresponding to the target recommended content adjustment control and the recommendation strength value can be saved.
  • the recommended content adjustment controls corresponding to each recommended content tag are sorted, and then the recommended content adjustment page is updated and displayed based on the sorted recommended content adjustment controls.
  • the corresponding relationship between the recommended content tag corresponding to the target recommended content adjustment control and the recommendation strength value can be saved, and the recommended content adjustment page can be closed at the same time. Then, when a display trigger operation for the recommended content adjustment page is received (that is, entering the recommended content adjustment page again), based on the recommendation intensity value of the recommended content tag corresponding to each recommended content adjustment control, each recommended content adjustment page is Recommended content adjustment control for sorting and display.
  • each recommended content adjustment control can be displayed in descending order based on the order of each recommendation strength value from large to small, so that the user can understand the type and proportion of content subsequently recommended by the target application.
  • At least one recommended content adjustment control is displayed on the recommended content adjustment page, wherein the recommended content adjustment control displays a recommended content label, and the recommended content label is used to identify the recommended content of the target application.
  • Content type is used to identify the recommended content of the target application.
  • determine the recommendation strength value corresponding to the target recommended content adjustment control wherein the recommendation strength value is used to adjust the recommendation corresponding to the target recommended content adjustment control by the target application.
  • the disclosed embodiment determines the recommendation strength value of the content type identified by the recommended content tag corresponding to the target recommended content adjustment control through a preset adjustment operation, thereby achieving a more fine-grained adjustment of the recommendation amount of each recommended content type, and satisfying the increasing number of users. content recommendation needs.
  • embodiments of the present disclosure can also delete recommended content adjustment controls displayed on the recommended content adjustment page, so as to meet the user's need to remove recommended content tags that are not interested in adjusting the amount of recommendations.
  • a preset deletion control may be displayed on the target recommended content adjustment control, as shown in Figure 3, which is another recommended content provided by an embodiment of the present disclosure.
  • Figure 3 is another recommended content provided by an embodiment of the present disclosure.
  • the recommendation strength value corresponding to the target recommended content adjustment control can be determined, and the recommendation strength adjustment status corresponding to the target recommended content adjustment control can be updated and displayed.
  • the target recommended content adjustment control when receiving a trigger operation for a preset deletion control on the target recommended content adjustment control, is deleted from the recommended content adjustment page to implement the corresponding deletion of the target recommended content adjustment control. Removal of recommended content tags.
  • the target recommended content adjustment control when receiving a trigger operation for the preset deletion control on the target recommended content adjustment control, it may first be determined whether the target recommended content adjustment control is the last recommended content adjustment control on the recommended content adjustment page. If it is determined that the target recommended content adjustment control is the last recommended content adjustment control on the recommended content adjustment page, the recommended content adjustment page can be displayed and updated based on a predetermined set of recommended content tags; wherein the set of recommended content tags includes the predetermined set of recommended content tags. Set a number of recommended content tags.
  • the recommended content tags in the recommended content tag set may be predetermined recommended content tags that the current user is interested in, and the recommendation strength value corresponding to each recommended content tag is equal to the default strength value.
  • the display of the recommended content adjustment control corresponding to the recommended content tags in the recommended content tag set can be triggered, so that the user can continue to use the recommended content tags that he is interested in. Adjust the recommended intensity value.
  • a confirmation pop-up window is displayed on the content moderation page so that the user can confirm the deletion of the last recommended content moderation control based on the confirmation pop-up window.
  • At least one optional adjustment control is displayed in the preset label recommendation area on the recommended content adjustment page .
  • a recommended content label is displayed on the optional adjustment control.
  • determine the recommended intensity value corresponding to the target optional adjustment control and then add the target optional adjustment control with the recommended intensity value. Go to the Recommended Content Moderation control displayed on the Recommended Content Moderation page.
  • the preset quantity threshold can be determined based on demand, for example, the preset quantity threshold can be 3.
  • the embodiment of the present disclosure displays at least one optional adjustment control in the preset tag recommendation area on the recommended content adjustment page, as shown in Figure 4, which is a schematic diagram of another recommended content adjustment page provided by the embodiment of the present disclosure. , wherein a preset tag recommendation area 401 is displayed on the recommended content adjustment page, and at least one optional adjustment control is displayed in the preset tag recommendation area 401, including an optional adjustment control 402. Specifically, the optional adjustment control 402 displays recommended content labels, recommendation intensity adjustment status, icons, etc.
  • the user can adjust the recommendation intensity value of the optional adjustment controls in this area, thereby updating and displaying the corresponding recommendation intensity adjustment status.
  • the user clicks the second control on the recommended content adjustment page the storage of the corresponding relationship between the optional adjustment control and the recommendation strength value is triggered, and the optional adjustment control is added to the recommended content adjustment displayed on the recommended content adjustment page. in the control.
  • the optional adjustment controls will continue to be displayed in the preset label recommendation area 401.
  • the number of optional adjustment controls in the preset label recommendation area 401 can be a preset quantity threshold. When the number of optional adjustment controls in the preset label recommendation area 401 is less than the preset quantity threshold, the number of optional adjustment controls can be supplemented. Adjust the display number of controls.
  • the recommended content adjustment control displayed on the recommended content adjustment page can be deleted and added, so that the user can determine the recommended content tags that he is interested in, thereby realizing the recommendation that he is interested in. Adjust the recommendation strength value of content to improve the user experience.
  • the recommended content adjustment page in the data processing method provided by the embodiment of the present disclosure also displays There is a first control. Specifically, when a trigger operation for the first control is received, a content tag page is displayed; wherein at least one recommended content tag is displayed on the content tag page. Then, in response to a preset selection operation for at least one recommended content tag on the content tag page, the at least one recommended content tag is added to the recommended content adjustment page, and the at least one recommended content tag is displayed on the recommended content adjustment page Respectively corresponding recommended content adjustment controls.
  • a first control 204 is also displayed on the recommended content adjustment page.
  • the recommended content adjustment page jumps to the content tag page.
  • Figure 5 it is a schematic diagram of a content tag page provided by an embodiment of the present disclosure, in which multiple recommended content tags are displayed on the content tag page.
  • the recommended content tags can include three states, specifically "selected” 501, "Not Selected” 502 and "Not Selectable” 503.
  • the recommended content tag in the "Not Selectable" 503 state refers to the recommended content note that is already on the recommended content adjustment page.
  • the user can select the recommended content tag on the content tag page, and in response to the preset selection operation for the selected recommended content tag on the content tag page, add the selected recommended content tag to the recommended content adjustment page, and in the recommendation
  • the recommended content adjustment controls corresponding to the selected recommended content tags are displayed on the content adjustment page.
  • the recommended content corresponding to the selected at least one recommended content tag can be displayed in a preset editing state on the recommended content adjustment page. Adjust controls.
  • a preset deletion control can be displayed on the recommended content adjustment control corresponding to the selected recommended content tag, and the user can adjust the recommendation strength value by dragging the recommended content adjustment control.
  • the data processing method provided by the embodiment of the present disclosure can add a new recommended content adjustment control from the content tag page to the recommended content adjustment page, so that users can select the recommended content tags they are interested in, thereby realizing the recommended content they are interested in. Adjust the recommendation strength value to improve the user experience.
  • the present disclosure also provides a data processing device.
  • Figure 6 is a schematic structural diagram of a data processing device provided by an embodiment of the present disclosure.
  • the device includes:
  • the first display module 601 is configured to display at least one recommended content adjustment control on the recommended content adjustment page; wherein the recommended content adjustment control displays a recommended content label, and the recommended content label is used to identify content recommended by the target application. type;
  • the first determination module 602 is configured to determine the recommendation strength value corresponding to the target recommended content adjustment control in response to a preset adjustment operation for the target recommended content adjustment control in the at least one recommended content adjustment control; wherein, the The recommendation strength value is used to adjust the amount of recommendation by the target application for the content type identified by the recommended content tag corresponding to the target recommended content adjustment control.
  • the recommended content adjustment control also displays a recommendation intensity adjustment state corresponding to the recommended content tag.
  • the recommendation intensity adjustment state is used to represent the recommendation intensity value corresponding to the recommended content tag and the default recommendation.
  • the size relationship of intensity values; the device also includes:
  • An update display module is configured to update and display the recommendation intensity adjustment state corresponding to the target recommended content adjustment control based on the recommendation intensity value corresponding to the target recommended content adjustment control.
  • the first determination module can also be used to:
  • a preset deletion control is displayed on the target recommended content adjustment control, and a corresponding deletion control of the target recommended content adjustment control is determined.
  • Recommended strength value In response to a preset adjustment operation for a target recommended content adjustment control in the at least one recommended content adjustment control, a preset deletion control is displayed on the target recommended content adjustment control, and a corresponding deletion control of the target recommended content adjustment control is determined. Recommended strength value.
  • the device further includes:
  • a deletion module configured to delete the target recommended content adjustment control from the recommended content adjustment page in response to a triggering operation of the preset deletion control on the target recommended content adjustment control.
  • the deletion module includes:
  • a first determination sub-module configured to determine whether the target recommended content adjustment control is the last one on the recommended content adjustment page in response to a triggering operation for the preset deletion control on the target recommended content adjustment control.
  • the first update display submodule is configured to, if it is determined that the target recommended content adjustment control is the last recommended content adjustment control on the recommended content adjustment page, adjust the recommended content adjustment page based on a predetermined set of recommended content tags. Perform display update; wherein the recommended content tag set includes a preset number of recommended content tags.
  • the device further includes:
  • the second display module is configured to display at least one in the preset tag recommendation area on the recommended content adjustment page if it is determined that the number of recommended content adjustment controls displayed on the recommended content adjustment page is not greater than the preset quantity threshold.
  • Optional adjustment control wherein, a recommended content label is displayed on the optional adjustment control;
  • a second determination module configured to determine the recommended strength value corresponding to the target optional adjustment control in response to a preset adjustment operation for the target optional adjustment control in the at least one optional adjustment control;
  • An adding module configured to add the target optional adjustment control with the recommendation strength value to the recommended content adjustment control displayed on the recommended content adjustment page.
  • a first control is also displayed on the recommended content adjustment page, and the device further includes:
  • a third display module configured to display a content tag page in response to a triggering operation on the first control; wherein, At least one recommended content tag is displayed on the content tag page;
  • An adding module configured to add the at least one recommended content tag to the recommended content adjustment page in response to a preset selection operation for at least one recommended content tag on the content tag page;
  • the fourth display module is configured to display the recommended content adjustment controls respectively corresponding to the at least one recommended content tag on the recommended content adjustment page.
  • the fourth display module can also be used for:
  • the recommended content adjustment controls respectively corresponding to the at least one recommended content tag are displayed in a preset editing state.
  • a second control is also displayed on the recommended content adjustment page; the device further includes:
  • a storage module configured to store a corresponding relationship between a recommended content tag corresponding to the target recommended content adjustment control and the recommendation strength value in response to a triggering operation on the second control.
  • the device further includes:
  • a sorting display module configured to respond to a display triggering operation for the recommended content adjustment page, based on the recommendation strength value of the recommended content tag corresponding to each recommended content adjustment control on the recommended content adjustment page, in the recommended content
  • Each recommended content adjustment control is sorted and displayed on the adjustment page.
  • modules are only logical modules divided according to the specific functions they implement, and are not used to limit specific implementation methods. For example, they can be implemented in software, hardware, or a combination of software and hardware. In actual implementation, each of the above modules may be implemented as an independent physical entity, or may be implemented by a single entity (for example, a processor (CPU or DSP, etc.), an integrated circuit, etc.). In addition, the various modules mentioned above are shown with dotted lines in the drawings to indicate that these modules may not actually exist, and the operations/functions they implement may be implemented by the device or processing circuit itself.
  • At least one recommended content adjustment control is displayed on the recommended content adjustment page, wherein the recommended content adjustment control displays a recommended content label, and the recommended content label is used to identify the recommended content of the target application.
  • Content type is used to identify the recommended content of the target application.
  • determine the recommendation strength value corresponding to the target recommended content adjustment control wherein the recommendation strength value is used to adjust the recommendation corresponding to the target recommended content adjustment control by the target application.
  • the embodiment of the present disclosure determines the recommendation strength value of the content type identified by the recommended content tag corresponding to the target recommended content adjustment control through the preset adjustment operation, thereby achieving a more fine-grained adjustment of the recommendation amount of each recommended content type, and satisfies the requirements Users’ growing demand for content recommendation.
  • embodiments of the present disclosure also provide a computer-readable storage medium. Instructions are stored in the readable storage medium. When the instructions are run on a terminal device, the terminal device implements the data processing method described in the embodiment of the present disclosure.
  • An embodiment of the present disclosure also provides a computer program product.
  • the computer program product includes a computer program/instruction. When the computer program/instruction is executed by a processor, the data processing method described in the embodiment of the present disclosure is implemented.
  • An embodiment of the present disclosure also provides a data processing device, including: a memory and a processor, wherein a computer program is stored on the memory, and when executed by the processor, the computer program can implement the embodiments of the present disclosure. the data processing methods described above.
  • An embodiment of the present disclosure also provides a computer program.
  • the computer program includes program code. When executed by a processor, the program code implements the data processing method described in the embodiment of the present disclosure.
  • embodiments of the present disclosure also provide a data processing device, in which the data processing solution according to the embodiment of the present disclosure can be implemented.
  • the data processing equipment may include:
  • the number of processors 701 in the data processing device may be one or more. In FIG. 7 , one processor is taken as an example. In some embodiments of the present disclosure, the processor 701, the memory 702, the input device 703, and the output device 704 may be connected through a bus or other means, wherein the connection through the bus is taken as an example in FIG. 7 .
  • the memory 702 can be used to store software programs and modules.
  • the processor 701 executes various functional applications and data processing of the data processing device by running the software programs and modules stored in the memory 702 .
  • the memory 702 may mainly include a program storage area and a data storage area, where the program storage area may store an operating system, at least one application program required for a function, and the like.
  • memory 702 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid-state storage device.
  • the input device 703 may be used to receive input numeric or character information and to generate signal inputs related to user settings and functional controls of the data processing device.
  • the processor 701 will load the executable files corresponding to the processes of one or more application programs into the memory 702 according to the following instructions, and the processor 701 will run the executable files stored in the memory 702. application to realize the various functions of the above-mentioned data processing equipment.

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  • Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)

Abstract

本公开提供了数据处理方法、装置、设备及存储介质，该方法包括：首先，在推荐内容调节页面上显示至少一个推荐内容调节控件，其中，推荐内容调节控件上展示有推荐内容标签，推荐内容标签用于标识目标应用推荐的内容类型。然后，在接收到针对目标推荐内容调节控件的预设调节操作时，确定目标推荐内容调节控件对应的推荐强度值，其中，该推荐强度值用于调节目标应用针对目标推荐内容调节控件对应的推荐内容标签所标识的内容类型的推荐量。

Description

数据处理方法、装置、设备及存储介质
相关申请的交叉引用
本申请是以申请号为202210743437.9、申请日为2022年6月27日的中国申请为基础，并主张其优先权，该中国申请的公开内容在此作为整体引入本申请中。
技术领域
本公开涉及数据处理领域，尤其涉及一种数据处理方法、装置、设备及存储介质。
背景技术
随着互联网技术的发展，内容推荐功能已经在各种应用程序中得到广泛应用。
发明内容
为了解决上述技术问题，本公开实施例提供了一种数据处理方案。
第一方面，本公开提供了一种数据处理方法，所述方法包括：
在推荐内容调节页面上显示至少一个推荐内容调节控件；其中，所述推荐内容调节控件上展示有推荐内容标签，所述推荐内容标签用于标识目标应用推荐的内容类型；
响应于针对所述至少一个推荐内容调节控件中的目标推荐内容调节控件的预设调节操作，确定所述目标推荐内容调节控件对应的推荐强度值；其中，所述推荐强度值用于调节所述目标应用针对所述目标推荐内容调节控件对应的推荐内容标签所标识的内容类型的推荐量。
在一些实施例中，所述推荐内容调节控件上还展示有所述推荐内容标签对应的推荐强度调节状态，所述推荐强度调节状态用于表征所述推荐内容标签对应的推荐强度值与默认推荐强度值的大小关系；所述确定所述目标推荐内容调节控件对应的推荐强度值之后，还包括：
基于所述目标推荐内容调节控件对应的推荐强度值，更新显示所述目标推荐内容调节控件对应的推荐强度调节状态。
在一些实施例中，所述响应于针对所述至少一个推荐内容调节控件中的目标推荐内容调节控件的预设调节操作，确定所述目标推荐内容调节控件对应的推荐强度值，包括：
响应于针对所述至少一个推荐内容调节控件中的目标推荐内容调节控件的预设调节 操作，在所述目标推荐内容调节控件上显示预设删除控件，并确定所述目标推荐内容调节控件对应的推荐强度值。
在一些实施例中，所述方法还包括：
响应于针对所述目标推荐内容调节控件上的所述预设删除控件的触发操作，从所述推荐内容调节页面上删除所述目标推荐内容调节控件。
在一些实施例中，所述响应于针对所述目标推荐内容调节控件上的所述预设删除控件的触发操作，从所述推荐内容调节页面上删除所述目标推荐内容调节控件，包括：
响应于针对所述目标推荐内容调节控件上的所述预设删除控件的触发操作，确定所述目标推荐内容调节控件是否为所述推荐内容调节页面上的最后一个推荐内容调节控件；
如果确定所述目标推荐内容调节控件为所述推荐内容调节页面上的最后一个推荐内容调节控件，则基于预先确定的推荐内容标签集合对所述推荐内容调节页面进行显示更新；其中，所述推荐内容标签集合中包括预设个数的推荐内容标签。
在一些实施例中，所述方法还包括：
如果确定所述推荐内容调节页面上显示的推荐内容调节控件的数量不大于预设数量阈值，则在所述推荐内容调节页面上的预设标签推荐区域内显示至少一个可选调节控件；其中，所述可选调节控件上展示有推荐内容标签；
响应于针对所述至少一个可选调节控件中的目标可选调节控件的预设调节操作，确定所述目标可选调节控件对应的推荐强度值；
将具有所述推荐强度值的所述目标可选调节控件，添加至所述推荐内容调节页面上显示的推荐内容调节控件中。
在一些实施例中，所述推荐内容调节页面上还显示有第一控件，所述方法还包括：
响应于针对所述第一控件的触发操作，显示内容标签页面；其中，所述内容标签页面上显示有至少一个推荐内容标签；
响应于针对所述内容标签页面上的至少一个推荐内容标签的预设选定操作，将所述至少一个推荐内容标签添加至所述推荐内容调节页面，并在所述推荐内容调节页面上显示所述至少一个推荐内容标签分别对应的推荐内容调节控件。
在一些实施例中，所述在所述推荐内容调节页面上显示所述至少一个推荐内容标签分别对应的推荐内容调节控件，包括：
在所述推荐内容调节页面上，以预设编辑态形式显示所述至少一个推荐内容标签分别 对应的推荐内容调节控件。
在一些实施例中，所述推荐内容调节页面上还显示有第二控件；所述响应于针对所述至少一个推荐内容调节控件中的目标推荐内容调节控件的预设调节操作，确定所述目标推荐内容调节控件对应的推荐强度值之后，还包括：
响应于针对所述第二控件的触发操作，对所述目标推荐内容调节控件对应的推荐内容标签与所述推荐强度值之间的对应关系进行存储。
在一些实施例中，所述方法还包括：
响应于针对所述推荐内容调节页面的显示触发操作，基于所述推荐内容调节页面上的各个推荐内容调节控件分别对应的推荐内容标签的推荐强度值，在所述推荐内容调节页面上对各个推荐内容调节控件进行排序显示。
第二方面，本公开提供了一种数据处理装置，所述装置包括：
第一显示模块，用于在推荐内容调节页面上显示至少一个推荐内容调节控件；其中，所述推荐内容调节控件上展示有推荐内容标签，所述推荐内容标签用于标识目标应用推荐的内容类型；
第一确定模块，用于响应于针对所述至少一个推荐内容调节控件中的目标推荐内容调节控件的预设调节操作，确定所述目标推荐内容调节控件对应的推荐强度值；其中，所述推荐强度值用于调节所述目标应用针对所述目标推荐内容调节控件对应的推荐内容标签所标识的内容类型的推荐量。
第三方面，本公开提供了一种计算机可读存储介质，所述计算机可读存储介质中存储有指令，当所述指令在终端设备上运行时，使得所述终端设备实现本公开中所述的方法。
第四方面，本公开提供了一种数据处理设备，包括：存储器，以及处理器，在所述存储器上存储有计算机程序，所述计算机程序可在所述处理器上运行，并且在由所述处理器执行时实现本公开中所述的方法。
第五方面，本公开提供了一种计算机程序产品，所述计算机程序产品包括计算机程序/指令，所述计算机程序/指令被处理器执行时实现本公开中所述的方法。
第六方面，本公开提供了一种计算机程序，所述计算机程序包括程序代码，所述程序代码被处理器执行时实现本公开中所述的方法。
附图说明
此处的附图被并入说明书中并构成本说明书的一部分，示出了符合本公开的实施例，并与说明书一起用于解释本公开的原理。
为了更清楚地说明本公开实施例或现有技术中的技术方案，下面将对实施例或现有技术描述中所需要使用的附图作简单地介绍，显而易见地，对于本领域普通技术人员而言，在不付出创造性劳动性的前提下，还可以根据这些附图获得其他的附图。
图1为本公开实施例提供的一种数据处理方法的流程图；
图2为本公开实施例提供的一种推荐内容调节页面示意图；
图3为本公开实施例提供的另一种推荐内容调节页面的示意图；
图4为本公开实施例提供的又一种推荐内容调节页面的示意图；
图5为本公开实施例提供的一种内容标签页面的示意图；
图6为本公开实施例提供的一种数据处理装置的结构示意图；
图7为本公开实施例提供的一种数据处理设备的结构示意图。
具体实施方式
为了能够更清楚地理解本公开的上述目的、特征和优点，下面将对本公开的方案进行进一步描述。需要说明的是，在不冲突的情况下，本公开的实施例及实施例中的特征可以相互组合。
在下面的描述中阐述了很多具体细节以便于充分理解本公开，但本公开还可以采用其他不同于在此描述的方式来实施；显然，说明书中的实施例只是本公开的一部分实施例，而不是全部的实施例。
目前的应用程序中涉及的内容推荐功能，仅支持对用户感兴趣的内容类型进行单一设置。例如，针对同一内容类型，如旅游类型的视频，基于用户的内容推荐设置仅可能存在两种推荐方式，其一可以将旅游类型的视频推荐给用户，其二不可以将该推荐旅游类型的视频推荐给用户。可见，目前对内容推荐方式的调节粒度较粗，无法满足用户日益增长的内容推荐需求。
鉴于此，本公开实施例提供了一种数据处理方案，首先，在推荐内容调节页面上显示至少一个推荐内容调节控件，其中，推荐内容调节控件上展示有推荐内容标签，推荐内容标签用于标识目标应用推荐的内容类型。然后，在接收到针对目标推荐内容调节控件的预设调节操作时，确定目标推荐内容调节控件对应的推荐强度值，其中，该推荐强度值用于 调节目标应用针对目标推荐内容调节控件对应的推荐内容标签所标识的内容类型的推荐量。
可见，本公开实施例通过预设调节操作确定目标推荐内容调节控件对应的推荐内容标签所标识的内容类型的推荐强度值，实现对各推荐内容类型的推荐量的更细粒度的调节，满足了用户日益增长的内容推荐需求。
基于此，本公开实施例提供了一种数据处理方法，参考图1，为本公开实施例提供的一种数据处理方法的流程图，该方法包括：
S101：在推荐内容调节页面上显示至少一个推荐内容调节控件。
其中，所述推荐内容调节控件上展示有推荐内容标签，所述推荐内容标签用于标识目标应用推荐的内容类型。
本公开实施例中，目标应用可以为内容推荐类的应用程序，如视频推荐类应用、新闻类应用、音乐类应用等。
本公开实施例中，推荐内容调节控件用于调节对应的推荐内容标签所标识的内容类型的推荐量。其中，推荐内容调节控件的形式可以为无极滑杆，通过控制无极滑杆的滑动位置，实现对内容类型的推荐量的调节。推荐内容调节控件上可以展示有对应的推荐内容标签的图标、文案等信息。
如图2所示，为本公开实施例提供的一种推荐内容调节页面的示意图，其中，推荐内容调节页面上显示有多个推荐内容调节控件，以推荐内容调节控件201为例，推荐内容调节控件201上展示有推荐内容标签“美食测评”，“美食测评”用于标识目标应用推荐的测评美食的内容类型。
在一些实施例中，推荐内容调节控件上还展示有推荐内容标签对应的推荐强度调节状态，该推荐强度调节状态用于表征该推荐内容标签对应的推荐强度值与默认推荐强度值的大小关系。
在一些实施例中，推荐强度调节状态可以包括三种调节状态，具体为增加推荐、默认推荐和减少推荐。其中，增加推荐用于表示大于默认推荐强度值的调节状态，说明目标应用针对具有“增加推荐”调节状态的推荐内容标签对应的内容类型需要增加推荐量；减少推荐用于表示小于默认推荐强度值的调节状态，说明目标应用针对具有“减少推荐”调节状态的推荐内容标签对应的内容类型需要减少推荐量；默认推荐表示等于默认推荐强度值的调节状态，即用户未调节推荐强度的推荐内容标签均可以显示默认推荐的调节状态，说明目 标应用针对具有“减少推荐”调节状态的推荐内容标签对应的内容类型无需调节推荐量。
在另一些实施例中，推荐强度调节状态可以包括五种调节状态，具体为大力增加推荐、增加推荐、默认推荐、减少推荐和不推荐，大力增加推荐用于表示较大程度的大于默认推荐强度值的调节状态，说明目标应用针对具有“大力增加推荐”调节状态的推荐内容标签对应的内容类型需要较大程度的增加推荐量；不推荐用于表示推荐强度值为0的调节状态，说明目标应用针对具有“不推荐”调节状态的推荐内容标签对应的内容类型需要禁止推荐。其他调节状态具体的可参照上述理解。
值得注意的是，推荐内容标签对应的推荐强度调节状态，是基于该推荐内容标签的推荐强度值与默认推荐强度值之间的大小关系确定的。具体的，推荐强度调节状态包括的具体调节状态的类型不受上述限制。
如上述图2所示，推荐内容调节控件201上展示有推荐内容标签“美食测评”，其对应的推荐强度调节状态为“增加推荐”，用于表示目标应用针对“美食测评”的内容类型需要增加推荐量。另外，图2所示的推荐内容调节控件202上展示有推荐内容标签“人物随拍”，其对应的推荐强度调节状态为“默认推荐”，用于表示目标应用针对“人物随拍”的内容类型不需要做推荐量的调整。
S102：响应于针对所述至少一个推荐内容调节控件中的目标推荐内容调节控件的预设调节操作，确定所述目标推荐内容调节控件对应的推荐强度值。
其中，所述推荐强度值用于调节所述目标应用针对所述目标推荐内容调节控件对应的推荐内容标签所标识的内容类型的推荐量。
本公开实施例中，用户可以针对推荐内容调节页面上显示至少一个推荐内容调节控件进行推荐强度的调节。其中，目标推荐内容调节控件可以是推荐内容调节页面上显示的任意的推荐内容调节控件。
在接收到针对目标推荐内容调节控件的预设调节操作时，基于该预设调节操作确定目标推荐内容调节控件对应的推荐强度值，即目标推荐内容调节控件上显示的推荐内容标签对应的推荐强度值。
在一些实施例中，预设调节操作可以是针对目标推荐内容调节控件的滑动操作，预设调节操作也可以是先点击目标推荐内容调节控件，然后针对目标推荐内容调节控件触发滑动操作的操作组合。本公开实施例对此不做限制。
如上述图2所示，用户可以通过滑动目标推荐内容调节控件的方式，实现对目标推荐 内容调节控件对应的推荐强度值的调节。具体的，向右滑动可以增加推荐强度值，而向左滑动可以减少推荐强度值。假设目标推荐内容调节控件的样式为无极滑杆，则可以通过控制无极滑杆的滑动，实现对目标推荐内容调节控件对应的推荐强度值的调节。
在一些实施例中，用户可以针对推荐内容调节页面上显示的至少一个推荐内容调节控件分别进行推荐强度值的调节，从而确定该至少一个推荐内容调节控件分别对应的推荐强度值，用于调节目标应用针对对应的推荐内容标签所标识的内容类型的推荐量。
在一些实施例中，推荐内容调节页面上还显示有第二控件203，如上述图2所示，第二控件203用于触发对调节后的推荐强度值的保存。具体的，第二控件203可以为“完成”控件。在用户点击“完成”控件之后，可以触发对推荐内容调节页面上已调节的各个推荐内容调节控件对应的推荐内容标签与推荐强度值之间的对应关系进行存储。
具体的，当接收到针对第二控件的触发操作时，对目标推荐内容调节控件对应的推荐内容标签与推荐强度值之间的对应关系进行存储，以便后续应用于目标应用的内容推荐策略中。
在一些实施例中，当接收到针对第二控件的触发操作后，可以保存目标推荐内容调节控件对应的推荐内容标签与推荐强度值之间的对应关系，另外，基于各个推荐内容标签分别对应的推荐强度值的大小，对各个推荐内容标签分别对应的推荐内容调节控件进行排序，然后基于排序后的推荐内容调节控件更新显示推荐内容调节页面。
在另一些实施例中，当接收到针对第二控件的触发操作后，可以保存目标推荐内容调节控件对应的推荐内容标签与推荐强度值之间的对应关系，同时关闭推荐内容调节页面。然后，当接收到针对推荐内容调节页面的显示触发操作时(即再次进入推荐内容调节页面)，基于各个推荐内容调节控件分别对应的推荐内容标签的推荐强度值，在推荐内容调节页面上对各个推荐内容调节控件进行排序显示。
在一些实施例中，可以基于各个推荐强度值由大到小的顺序，对各个推荐内容调节控件进行降序排列显示，以便于用户了解目标应用后续为其推荐的内容类型以及比例等。
本公开实施例提供的数据处理方法中，首先，在推荐内容调节页面上显示至少一个推荐内容调节控件，其中，推荐内容调节控件上展示有推荐内容标签，推荐内容标签用于标识目标应用推荐的内容类型。然后，在接收到针对目标推荐内容调节控件的预设调节操作时，确定目标推荐内容调节控件对应的推荐强度值，其中，该推荐强度值用于调节目标应用针对目标推荐内容调节控件对应的推荐内容标签所标识的内容类型的推荐量。可见，本 公开实施例通过预设调节操作确定目标推荐内容调节控件对应的推荐内容标签所标识的内容类型的推荐强度值，实现对各推荐内容类型的推荐量的更细粒度的调节，满足了用户日益增长的内容推荐需求。
附加地或可选地，本公开实施例还可以针对推荐内容调节页面上显示的推荐内容调节控件进行删除，以便满足用户对于推荐量调节不感兴趣的推荐内容标签的移除需求。
具体的，响应于针对推荐内容调节页面上的至少一个推荐内容调节控件中的目标推荐内容调节控件的预设调节操作，在目标推荐内容调节控件上显示预设删除控件，以及确定所述目标推荐内容调节控件对应的推荐强度值。
在一些实施例中，在用户针对目标推荐内容调节控件触发滑动操作时，目标推荐内容调节控件上可以显示预设删除控件，如图3所示，为本公开实施例提供的另一种推荐内容调节页面的示意图，其中，针对推荐内容标签“美食测评”对应的推荐内容调节控件301触发滑动操作时，推荐内容调节控件301上触发显示预设删除控件302，用于实现对推荐内容调节控件301的删除操作。同时，针对推荐内容标签“美食测评”对应的推荐内容调节控件301触发的滑动操作，可以确定目标推荐内容调节控件对应的推荐强度值，以及更新显示目标推荐内容调节控件对应的推荐强度调节状态。
在一些实施例中，在接收到针对目标推荐内容调节控件上的预设删除控件的触发操作时，从推荐内容调节页面上删除该目标推荐内容调节控件，实现对该目标推荐内容调节控件对应的推荐内容标签的移除。
在一些实施例中，在接收到针对目标推荐内容调节控件上的预设删除控件的触发操作时，首先可以确定目标推荐内容调节控件是否为推荐内容调节页面上的最后一个推荐内容调节控件。如果确定目标推荐内容调节控件为推荐内容调节页面上的最后一个推荐内容调节控件，则可以基于预先确定的推荐内容标签集合对推荐内容调节页面进行显示更新；其中，该推荐内容标签集合中包括预设个数的推荐内容标签。
实际应用中，推荐内容标签集合中的推荐内容标签可以为预先确定的当前用户感兴趣的推荐内容标签，各个推荐内容标签对应的推荐强度值等于默认强度值。在用户删除推荐内容调节页面上的最后一个推荐内容调节控件时，可以触发对该推荐内容标签集合中的推荐内容标签对应的推荐内容调节控件的显示，以便于用户继续对感兴趣的推荐内容标签的推荐强度值进行调节。
另外，在用户删除推荐内容调节页面上的最后一个推荐内容调节控件时，可以在推荐 内容调节页面上显示确认弹窗，以便用户可以基于确认弹窗对最后一个推荐内容调节控件的删除操作进行确认。
在本公开实施例中，如果确定推荐内容调节页面上显示的推荐内容调节控件的数量不大于预设数量阈值，则在推荐内容调节页面上的预设标签推荐区域内显示至少一个可选调节控件。其中，可选调节控件上展示有推荐内容标签。响应于针对该至少一个可选调节控件中的目标可选调节控件的预设调节操作，确定目标可选调节控件对应的推荐强度值，然后，将具有推荐强度值的目标可选调节控件，添加至推荐内容调节页面上显示的推荐内容调节控件中。
其中，预设数量阈值可以基于需求确定，例如预设数量阈值可以为3。
实际应用中，如果确定推荐内容调节页面上显示的推荐内容调节控件的数量不大于预设数量阈值，则说明推荐内容调节页面上显示的推荐内容调节控件的数量过少，可以为用户推荐更多的推荐内容标签，以供用户进行推荐强度值的调节。为此，本公开实施例在推荐内容调节页面上的预设标签推荐区域内显示至少一个可选调节控件，如图4所示，为本公开实施例提供的又一种推荐内容调节页面的示意图，其中，推荐内容调节页面上显示有预设标签推荐区域401，在预设标签推荐区域401内显示至少一个可选调节控件，包括可选调节控件402。具体的，可选调节控件402上显示有推荐内容标签、推荐强度调节状态和图标等。
针对预设标签推荐区域401内的可选调节控件，用户可以在该区域内对可选调节控件的推荐强度值进行调节，从而更新显示对应的推荐强度调节状态。在用户点击推荐内容调节页面上的第二控件之后，触发对该可选调节控件和推荐强度值的对应关系的存储，同时将该可选调节控件添加到推荐内容调节页面上显示的推荐内容调节控件中。
如果此时确定推荐内容调节页面上显示的推荐内容调节控件的数量仍然不大于预设数量阈值，则继续在预设标签推荐区域401内显示可选调节控件。具体的，预设标签推荐区域401中的可选调节控件的数量可以为预设数量阈值，在预设标签推荐区域401中的可选调节控件的数量不足预设数量阈值时，可以补足可选调节控件的显示数量。
本公开实施例提供的数据处理方法中，能够推荐内容调节页面上显示的推荐内容调节控件进行删除和新增，以便用户能够确定出其感兴趣的推荐内容标签，从而实现对其感兴趣的推荐内容的推荐强度值的调节，提升用户的使用体验。
附加地或可选地，本公开实施例提供的数据处理方法中的推荐内容调节页面上还显示 有第一控件，具体的，在接收到针对第一控件的触发操作时，显示内容标签页面；其中，内容标签页面上显示有至少一个推荐内容标签。然后，响应于针对内容标签页面上的至少一个推荐内容标签的预设选定操作，将该至少一个推荐内容标签添加至推荐内容调节页面，并在推荐内容调节页面上显示该至少一个推荐内容标签分别对应的推荐内容调节控件。
如图2所示的推荐内容调节页面上还显示有第一控件204，在接收到针对第一控件204的触发操作时，由推荐内容调节页面跳转至内容标签页面。如图5所示，为本公开实施例提供的一种内容标签页面的示意图，其中，内容标签页面上显示有多个推荐内容标签，推荐内容标签可以包括三种状态，具体为“已选择”501、“未选择”502和“不可选”503，处于“不可选”503状态的推荐内容标签是指已经处于推荐内容调节页面上的推荐内容便签。
用户可以选择内容标签页面上的推荐内容标签，响应于针对内容标签页面上的已选择的推荐内容标签的预设选定操作，将已选择的推荐内容标签添加至推荐内容调节页面，并在推荐内容调节页面上显示已选择的推荐内容标签分别对应的推荐内容调节控件。
在一些实施例中，将已选择的推荐内容标签添加到推荐内容调节页面上之后，在推荐内容调节页面上，可以以预设编辑态形式显示已选择的至少一个推荐内容标签分别对应的推荐内容调节控件。
具体的，已选择的推荐内容标签对应的推荐内容调节控件上可以展示有预设删除控件，用户可以通过拖动推荐内容调节控件实现对推荐强度值的调节。
本公开实施例提供的数据处理方法，能够从内容标签页面向推荐内容调节页面添加新的推荐内容调节控件，以便用户能够选择其感兴趣的推荐内容标签，从而实现对其感兴趣的推荐内容的推荐强度值的调节，提升用户的使用体验。
本公开还提供了一种数据处理装置，参考图6，为本公开实施例提供的一种数据处理装置的结构示意图，所述装置包括：
第一显示模块601，用于在推荐内容调节页面上显示至少一个推荐内容调节控件；其中，所述推荐内容调节控件上展示有推荐内容标签，所述推荐内容标签用于标识目标应用推荐的内容类型；
第一确定模块602，用于响应于针对所述至少一个推荐内容调节控件中的目标推荐内容调节控件的预设调节操作，确定所述目标推荐内容调节控件对应的推荐强度值；其中，所述推荐强度值用于调节所述目标应用针对所述目标推荐内容调节控件对应的推荐内容标签所标识的内容类型的推荐量。
在一些实施例中，所述推荐内容调节控件上还展示有所述推荐内容标签对应的推荐强度调节状态，所述推荐强度调节状态用于表征所述推荐内容标签对应的推荐强度值与默认推荐强度值的大小关系；所述装置还包括：
更新显示模块，用于基于所述目标推荐内容调节控件对应的推荐强度值，更新显示所述目标推荐内容调节控件对应的推荐强度调节状态。
在一些实施例中，所述第一确定模块，还可用于：
响应于针对所述至少一个推荐内容调节控件中的目标推荐内容调节控件的预设调节操作，在所述目标推荐内容调节控件上显示预设删除控件，并确定所述目标推荐内容调节控件对应的推荐强度值。
在一些实施例中，所述装置还包括：
删除模块，用于响应于针对所述目标推荐内容调节控件上的所述预设删除控件的触发操作，从所述推荐内容调节页面上删除所述目标推荐内容调节控件。
在一些实施例中，所述删除模块，包括：
第一确定子模块，用于响应于针对所述目标推荐内容调节控件上的所述预设删除控件的触发操作，确定所述目标推荐内容调节控件是否为所述推荐内容调节页面上的最后一个推荐内容调节控件；
第一更新显示子模块，用于如果确定所述目标推荐内容调节控件为所述推荐内容调节页面上的最后一个推荐内容调节控件，则基于预先确定的推荐内容标签集合对所述推荐内容调节页面进行显示更新；其中，所述推荐内容标签集合中包括预设个数的推荐内容标签。
在一些实施例中，所述装置还包括：
第二显示模块，用于如果确定所述推荐内容调节页面上显示的推荐内容调节控件的数量不大于预设数量阈值，则在所述推荐内容调节页面上的预设标签推荐区域内显示至少一个可选调节控件；其中，所述可选调节控件上展示有推荐内容标签；
第二确定模块，用于响应于针对所述至少一个可选调节控件中的目标可选调节控件的预设调节操作，确定所述目标可选调节控件对应的推荐强度值；
添加模块，用于将具有所述推荐强度值的所述目标可选调节控件，添加至所述推荐内容调节页面上显示的推荐内容调节控件中。
在一些实施例中，所述推荐内容调节页面上还显示有第一控件，所述装置还包括：
第三显示模块，用于响应于针对所述第一控件的触发操作，显示内容标签页面；其中， 所述内容标签页面上显示有至少一个推荐内容标签；
添加模块，用于响应于针对所述内容标签页面上的至少一个推荐内容标签的预设选定操作，将所述至少一个推荐内容标签添加至所述推荐内容调节页面；
第四显示模块，用于在所述推荐内容调节页面上显示所述至少一个推荐内容标签分别对应的推荐内容调节控件。
在一些实施例中，所述第四显示模块，还可用于：
在所述推荐内容调节页面上，以预设编辑态形式显示所述至少一个推荐内容标签分别对应的推荐内容调节控件。
在一些实施例中，所述推荐内容调节页面上还显示有第二控件；所述装置还包括：
存储模块，用于响应于针对所述第二控件的触发操作，对所述目标推荐内容调节控件对应的推荐内容标签与所述推荐强度值之间的对应关系进行存储。
在一些实施例中，所述装置还包括：
排序显示模块，用于响应于针对所述推荐内容调节页面的显示触发操作，基于所述推荐内容调节页面上的各个推荐内容调节控件分别对应的推荐内容标签的推荐强度值，在所述推荐内容调节页面上对各个推荐内容调节控件进行排序显示。
应注意，上述各个模块仅是根据其所实现的具体功能划分的逻辑模块，而不是用于限制具体的实现方式，例如可以以软件、硬件或者软硬件结合的方式来实现。在实际实现时，上述各个模块可被实现为独立的物理实体，或者也可由单个实体(例如，处理器(CPU或DSP等)、集成电路等)来实现。此外，上述各个模块在附图中用虚线示出指示这些模块可以并不实际存在，而它们所实现的操作/功能可由装置或处理电路本身来实现。
本公开实施例提供的数据处理装置中，首先，在推荐内容调节页面上显示至少一个推荐内容调节控件，其中，推荐内容调节控件上展示有推荐内容标签，推荐内容标签用于标识目标应用推荐的内容类型。然后，在接收到针对目标推荐内容调节控件的预设调节操作时，确定目标推荐内容调节控件对应的推荐强度值，其中，该推荐强度值用于调节目标应用针对目标推荐内容调节控件对应的推荐内容标签所标识的内容类型的推荐量。可见，本公开实施例通过预设调节操作确定目标推荐内容调节控件对应的推荐内容标签所标识的内容类型的推荐强度值，实现对各推荐内容类型的推荐量的更细粒度的调节，满足了用户日益增长的内容推荐需求。
除了上述方法和装置以外，本公开实施例还提供了一种计算机可读存储介质，计算机 可读存储介质中存储有指令，当所述指令在终端设备上运行时，使得所述终端设备实现本公开实施例所述的数据处理方法。
本公开实施例还提供了一种计算机程序产品，所述计算机程序产品包括计算机程序/指令，所述计算机程序/指令被处理器执行时实现本公开实施例所述的数据处理方法。
本公开实施例还提供了一种数据处理设备，包括：存储器，处理器，其中在所述存储器上存储有计算机程序，所述计算机程序在被所述处理器执行时可实现本公开实施例所述的数据处理方法。
本公开实施例还提供了一种计算机程序，所述计算机程序包括程序代码，所述程序代码在被处理器执行时实现本公开实施例所述的数据处理方法。
另外，本公开实施例还提供了一种数据处理设备，在其中可实现根据本公开的实施例的数据处理方案。参见图7所示，该数据处理设备可以包括：
处理器701、存储器702、输入装置703和输出装置704。数据处理设备中的处理器701的数量可以一个或多个，图7中以一个处理器为例。在本公开的一些实施例中，处理器701、存储器702、输入装置703和输出装置704可通过总线或其它方式连接，其中，图7中以通过总线连接为例。
存储器702可用于存储软件程序以及模块，处理器701通过运行存储在存储器702的软件程序以及模块，从而执行数据处理设备的各种功能应用以及数据处理。存储器702可主要包括存储程序区和存储数据区，其中，存储程序区可存储操作系统、至少一个功能所需的应用程序等。此外，存储器702可以包括高速随机存取存储器，还可以包括非易失性存储器，例如至少一个磁盘存储器件、闪存器件、或其他易失性固态存储器件。输入装置703可用于接收输入的数字或字符信息，以及产生与数据处理设备的用户设置以及功能控制有关的信号输入。
具体在本实施例中，处理器701会按照如下的指令，将一个或一个以上的应用程序的进程对应的可执行文件加载到存储器702中，并由处理器701来运行存储在存储器702中的应用程序，从而实现上述数据处理设备的各种功能。
需要说明的是，在本文中，诸如“第一”和“第二”等之类的关系术语仅仅用来将一个实体或者操作与另一个实体或操作区分开来，而不一定要求或者暗示这些实体或操作之间存在任何这种实际的关系或者顺序。而且，术语“包括”、“包含”或者其任何其他变体意在涵盖非排他性的包含，从而使得包括一系列要素的过程、方法、物品或者设备不仅包括那些 要素，而且还包括没有明确列出的其他要素，或者是还包括为这种过程、方法、物品或者设备所固有的要素。在没有更多限制的情况下，由语句“包括一个……”限定的要素，并不排除在包括所述要素的过程、方法、物品或者设备中还存在另外的相同要素。
以上所述仅是本公开的具体实施方式，使本领域技术人员能够理解或实现本公开。对这些实施例的多种修改对本领域的技术人员来说将是显而易见的，本文中所定义的一般原理可以在不脱离本公开的精神或范围的情况下，在其它实施例中实现。因此，本公开将不会被限制于本文所述的这些实施例，而是要符合与本文所公开的原理和新颖特点相一致的最宽的范围。

Claims (15)

  1. 一种数据处理方法，所述方法包括：
    在推荐内容调节页面上显示至少一个推荐内容调节控件；其中，所述推荐内容调节控件上展示有推荐内容标签，所述推荐内容标签用于标识目标应用推荐的内容类型；
    响应于针对所述至少一个推荐内容调节控件中的目标推荐内容调节控件的预设调节操作，确定所述目标推荐内容调节控件对应的推荐强度值；其中，所述推荐强度值用于调节所述目标应用针对所述目标推荐内容调节控件对应的推荐内容标签所标识的内容类型的推荐量。
  2. 根据权利要求1所述的方法，其中，所述推荐内容调节控件上还展示有所述推荐内容标签对应的推荐强度调节状态，所述推荐强度调节状态用于表征所述推荐内容标签对应的推荐强度值与默认推荐强度值的大小关系；其中，在所述确定所述目标推荐内容调节控件对应的推荐强度值之后，所述方法还包括：
    基于所述目标推荐内容调节控件对应的推荐强度值，更新显示所述目标推荐内容调节控件对应的推荐强度调节状态。
  3. 根据权利要求1所述的方法，其中，所述响应于针对所述至少一个推荐内容调节控件中的目标推荐内容调节控件的预设调节操作，确定所述目标推荐内容调节控件对应的推荐强度值，包括：
    响应于针对所述至少一个推荐内容调节控件中的目标推荐内容调节控件的预设调节操作，在所述目标推荐内容调节控件上显示预设删除控件，并确定所述目标推荐内容调节控件对应的推荐强度值。
  4. 根据权利要求3所述的方法，所述方法还包括：
    响应于针对所述目标推荐内容调节控件上的所述预设删除控件的触发操作，从所述推荐内容调节页面上删除所述目标推荐内容调节控件。
  5. 根据权利要求4所述的方法，其中，所述响应于针对所述目标推荐内容调节控件上的所述预设删除控件的触发操作，从所述推荐内容调节页面上删除所述目标推荐内容调节控件，包括：
    响应于针对所述目标推荐内容调节控件上的所述预设删除控件的触发操作，确定所述目标推荐内容调节控件是否为所述推荐内容调节页面上的最后一个推荐内容调节控件；
    如果确定所述目标推荐内容调节控件为所述推荐内容调节页面上的最后一个推荐内容调节控件，则基于预先确定的推荐内容标签集合对所述推荐内容调节页面进行显示更新；其中，所述推荐内容标签集合中包括预设个数的推荐内容标签。
  6. 根据权利要求1所述的方法，所述方法还包括：
    如果确定所述推荐内容调节页面上显示的推荐内容调节控件的数量不大于预设数量阈值，则在所述推荐内容调节页面上的预设标签推荐区域内显示至少一个可选调节控件；其中，所述可选调节控件上展示有推荐内容标签；
    响应于针对所述至少一个可选调节控件中的目标可选调节控件的预设调节操作，确定所述目标可选调节控件对应的推荐强度值；
    将具有所述推荐强度值的所述目标可选调节控件，添加至所述推荐内容调节页面上显示的推荐内容调节控件中。
  7. 根据权利要求1所述的方法，其中，所述推荐内容调节页面上还显示有第一控件，并且所述方法还包括：
    响应于针对所述第一控件的触发操作，显示内容标签页面；其中，所述内容标签页面上显示有至少一个推荐内容标签；
    响应于针对所述内容标签页面上的至少一个推荐内容标签的预设选定操作，将所述至少一个推荐内容标签添加至所述推荐内容调节页面，并在所述推荐内容调节页面上显示所述至少一个推荐内容标签分别对应的推荐内容调节控件。
  8. 根据权利要求7所述的方法，其中，所述在所述推荐内容调节页面上显示所述至少一个推荐内容标签分别对应的推荐内容调节控件，包括：
    在所述推荐内容调节页面上，以预设编辑态形式显示所述至少一个推荐内容标签分别对应的推荐内容调节控件。
  9. 根据权利要求1所述的方法，其中，所述推荐内容调节页面上还显示有第二控件；并且其中，在所述响应于针对所述至少一个推荐内容调节控件中的目标推荐内容调节控件的预设调节操作，确定所述目标推荐内容调节控件对应的推荐强度值之后，所述方法还包括：
    响应于针对所述第二控件的触发操作，对所述目标推荐内容调节控件对应的推荐内容标签与所述推荐强度值之间的对应关系进行存储。
  10. 根据权利要求9所述的方法，所述方法还包括：
    响应于针对所述推荐内容调节页面的显示触发操作，基于所述推荐内容调节页面上的各个推荐内容调节控件分别对应的推荐内容标签的推荐强度值，在所述推荐内容调节页面上对各个推荐内容调节控件进行排序显示。
  11. 一种数据处理装置，所述装置包括：
    第一显示模块，用于在推荐内容调节页面上显示至少一个推荐内容调节控件；其中，所述推荐内容调节控件上展示有推荐内容标签，所述推荐内容标签用于标识目标应用推荐的内容类型；
    第一确定模块，用于响应于针对所述至少一个推荐内容调节控件中的目标推荐内容调节控件的预设调节操作，确定所述目标推荐内容调节控件对应的推荐强度值；其中，所述推荐强度值用于调节所述目标应用针对所述目标推荐内容调节控件对应的推荐内容标签所标识的内容类型的推荐量。
  12. 一种计算机可读存储介质，所述计算机可读存储介质中存储有指令，当所述指令在终端设备上运行时，使得所述终端设备实现根据权利要求1-10中任一项所述的方法。
  13. 一种数据处理设备，其中，包括：存储器，以及处理器，其中，在所述存储器上存储计算机程序，所述计算机程序在由所述处理器执行时使得所述处理器实现根据权利要求1-10任一项所述的方法。
  14. 一种计算机程序产品，其中，所述计算机程序产品包括计算机程序/指令，所述计算机程序/指令被处理器执行时实现根据权利要求1-10中任一项所述的方法。
  15. 一种计算机程序，所述计算机程序包括程序代码，所述程序代码由处理器执行以用于实现根据权利要求1-10中任一项所述的方法。
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