WO2024109733A1 - 确定推荐信息的方法、装置、电子设备和存储介质 - Google Patents

确定推荐信息的方法、装置、电子设备和存储介质 Download PDF

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Publication number
WO2024109733A1
WO2024109733A1 PCT/CN2023/132902 CN2023132902W WO2024109733A1 WO 2024109733 A1 WO2024109733 A1 WO 2024109733A1 CN 2023132902 W CN2023132902 W CN 2023132902W WO 2024109733 A1 WO2024109733 A1 WO 2024109733A1
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Prior art keywords
information
recommended
recommendation
page
determining
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PCT/CN2023/132902
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English (en)
French (fr)
Inventor
张泓洋
王康乐
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北京有竹居网络技术有限公司
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Publication of WO2024109733A1 publication Critical patent/WO2024109733A1/zh

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
    • G06F3/0481—Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
    • G06F3/0482—Interaction with lists of selectable items, e.g. menus
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/44—Arrangements for executing specific programs
    • G06F9/451—Execution arrangements for user interfaces

Definitions

  • Embodiments of the present disclosure relate to a method, device, electronic device, and storage medium for determining recommendation information.
  • the object feature information mining of the recommended object is an important measure of multimedia quality.
  • the feature information of the recommended object can be output with high quality.
  • mutual learning between multiple multimedia information can facilitate the improvement of the quality and efficiency of introducing the recommended object.
  • multimedia creators are usually required to manually read a large number of multimedia resources, manually record information, and extract object feature information from them to provide information for the multimedia being created.
  • This method of introducing objects to be recommended is inefficient, and the amount of data read manually is limited, and the quality of the information on the objects to be recommended is not high.
  • the purpose of the embodiments of the present disclosure is to provide a method, device, electronic device and storage medium for determining recommendation information, which can improve the quality and efficiency of obtaining recommendation information of a to-be-recommended object.
  • an embodiment of the present disclosure provides a method for determining recommended information, comprising: in response to an object selection operation, determining an object to be recommended, and displaying an information recommendation page corresponding to the object to be recommended; wherein the information recommendation page includes several object feature information of the object to be recommended.
  • the object feature information of the object to be recommended is determined according to the multimedia information corresponding to the object to be recommended and meeting the preset conditions; in response to a determination operation for at least one object feature information of the object to be recommended, the at least one object feature information is used as recommendation information of the object to be recommended.
  • an embodiment of the present disclosure provides a device for determining recommended information, comprising: a first determination module, for determining an object to be recommended in response to an object selection operation, and for displaying an information recommendation page corresponding to the object to be recommended; wherein the information recommendation page includes a number of object feature information of the object to be recommended, and the object feature information of the object to be recommended is determined based on multimedia information corresponding to the object to be recommended that meets preset conditions; a second determination module, for responding to a determination operation for at least one object feature information of the object to be recommended, and using the at least one object feature information as recommendation information of the object to be recommended.
  • an embodiment of the present disclosure provides an electronic device, comprising: a memory, a processor, and computer executable instructions stored in the memory and executable on the processor, wherein the computer executable instructions, when executed by the processor, implement the method for determining recommended information described in the first aspect above.
  • an embodiment of the present disclosure provides a computer-readable storage medium, wherein the computer-readable storage medium is used to store computer-executable instructions, and when the computer-executable instructions are executed by a processor, the method for determining recommended information described in the first aspect above is implemented.
  • FIG. 1a shows a schematic flow chart of a method for determining recommendation information provided by an embodiment of the present disclosure
  • FIG1b is a schematic diagram of an information recommendation page provided by an embodiment of the present disclosure.
  • FIG1c is a schematic diagram of a selection page provided in an embodiment of the present disclosure.
  • FIG. 2 is another schematic diagram of an information recommendation page for object feature information provided by an embodiment of the present disclosure picture
  • FIG3 shows another flow chart of a method for determining recommendation information provided by an embodiment of the present disclosure
  • FIG4 is a schematic diagram of an editing page provided in an embodiment of the present disclosure.
  • FIG5 is a schematic diagram of a guide page provided in an embodiment of the present disclosure.
  • FIG6 shows a schematic diagram of the structure of a device for determining recommendation information provided by an embodiment of the present disclosure.
  • FIG. 7 is a schematic diagram of the hardware structure of an electronic device that executes a method for determining recommended information provided in an embodiment of the present disclosure.
  • FIG. 1a shows a flow chart of a method for determining recommendation information provided by an embodiment of the present disclosure, which method can be executed by an electronic device, such as a terminal device or a server device.
  • the method can be executed by software or hardware installed on the terminal device or the server device.
  • the server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, etc.
  • Users who apply this solution can be providers or publishers of multimedia information, such as anchors who sell goods through live broadcasts, business operators, or creators of short videos, etc., which can be collectively referred to as merchants.
  • multimedia information such as anchors who sell goods through live broadcasts, business operators, or creators of short videos, etc.
  • merchants can be collectively referred to as merchants.
  • the object to be recommended is introduced through multimedia information, there is a need to output the object feature information of the object to be recommended with high quality and efficiency.
  • the merchant side When the merchant side needs to create a recommendation text for a product, it can learn from the recommendation information in other multimedia information corresponding to the product to create a recommendation script for the merchant's own product (it can be understood that the recommendation script is a reusable text), so that when the merchant subsequently makes a short video or live broadcast recommendation for the product, the product recommendation text (such as product selling points) of the short video can be created based on the script, without the need for the merchant to manually re-enter the product multiple times in different scenarios. Based on this, combined with FIG1a, the following steps can be performed.
  • Step S110 In response to the object selection operation, determining the object to be recommended, and displaying the information recommendation page corresponding to the object to be recommended.
  • the objects to be recommended may include commodities that merchants are recommending or will recommend, and objects that short video publishers are recommending or will recommend.
  • the objects to be recommended may be tangible objects or intangible objects, such as certain service items.
  • the information recommendation page includes several object feature information of the objects to be recommended, and the object feature information of the objects to be recommended is determined according to the multimedia information corresponding to the objects to be recommended that meets the preset conditions.
  • the information recommendation page is used to display several object feature information of the object to be recommended, so that the merchant can browse several object feature information of the object to be recommended conveniently and quickly, and can select and confirm at least one object feature information in the subsequent steps through the information recommendation page.
  • FIG. 1b shows a schematic diagram of the information recommendation page provided by the embodiment of the present disclosure, and each object to be recommended can include one or more object feature information.
  • the object feature information can be used to represent the attributes, characteristics or usage scenarios of the object to be recommended. For example, if the object to be recommended is a face cream, its object feature information may include "the king of cost performance" and "the champion of moisturizing".
  • the object feature information can also be feature information that reflects dimensions such as usage scenarios, such as scenes such as sending parents, relatives and friends.
  • the display form of the object feature information may include: at least one of a feature vocabulary, an example sentence containing the feature vocabulary, and a multimedia content example.
  • the feature vocabulary corresponding to the face cream can be "moisturizing”
  • the example sentence containing the feature vocabulary can be "moisturizing expert, buy it!”
  • the multimedia content can be the live broadcast content of a live broadcast of a host selling the face cream.
  • the multimedia information may include a short video or live broadcast, which may be a complete short video or live broadcast content, or a clip corresponding to the recommended object in the short video or live broadcast.
  • Merchants can view the corresponding multimedia information by triggering the object feature information.
  • the multimedia information meets a preset condition.
  • the preset condition may include a condition that a predetermined parameter is greater than a preset threshold, and the predetermined parameter may include: at least one of the completion rate, number of comments, number of likes, and number of shares of the multimedia information.
  • the multimedia information meets at least one of the following:
  • the completion rate of the multimedia information is greater than a preset completion rate threshold
  • the number of comments on the multimedia information is greater than a preset comment number threshold
  • the number of likes for the multimedia information is greater than a preset likes threshold
  • the number of shares of the multimedia information is greater than a preset sharing number threshold.
  • the quality of multimedia information can be improved by setting the predetermined conditions, and the final The quality of the recommendation information of the object to be recommended determined in the multimedia information.
  • the user will be informed of the intellectual property rights, type, scope of use, and usage scenarios of the user involved in an appropriate manner, and the user's authorization will be obtained.
  • the authorization of the copyright owner of the multimedia should also be received.
  • the authorization can be sent to the user in the form of a prompt message, such as a pop-up window, and the authorization prompt information can be presented in the form of text in the pop-up window.
  • the pop-up window can also carry a selection control for the user to choose "agree” or “disagree” to provide copyright authorization to the electronic device, and realize the user's confirmation of the scope of use, usage scenarios, etc. of the copyright.
  • similar technical processing can be performed when it is necessary to obtain the personal information of the user, such as the copyright owner of the multimedia. It is understandable that the above notification and the process of obtaining user authorization are only illustrative and do not constitute a limitation on the implementation of the present disclosure. Other methods that meet relevant laws and regulations can also be applied to the implementation of the present disclosure.
  • Step S120 In response to a determination operation on at least one object feature information of the object to be recommended, using the at least one object feature information as recommendation information of the object to be recommended.
  • the user can confirm the object feature information 1 "Price/performance ratio king" or the object feature information 2 "Moisturizing champion". If the object feature information 2 "Moisturizing champion" is confirmed, the object feature information 2 "Moisturizing champion" will be used as the recommendation information of the object to be recommended in this step.
  • a method for determining recommended information provided by an embodiment of the present disclosure includes determining an object to be recommended in response to an object selection operation, and displaying an information recommendation page corresponding to the object to be recommended; wherein the information recommendation page includes a number of object feature information of the object to be recommended, and the object feature information of the object to be recommended is determined according to multimedia information corresponding to the object to be recommended and meeting preset conditions; in response to a determination operation for at least one object feature information of the object to be recommended, the at least one object feature information is used as recommended information of the object to be recommended.
  • the information recommendation page enables merchants to browse the number of object feature information of the object to be recommended conveniently and quickly, and make a selection and confirmation therefrom, thereby improving the efficiency of obtaining recommended information of the object to be recommended, and the quality of obtaining recommended information of the object to be recommended can be improved by setting preset conditions, thereby helping multimedia creators to accurately and quickly determine recommended information of the object to be recommended.
  • a selection page of the object to be recommended may be displayed in step S110, wherein the selection page of the object to be recommended displays a plurality of objects; A page is provided to receive a selection operation of selecting at least one object from a plurality of the objects; and at least one object corresponding to the selection operation is determined as the object to be recommended.
  • the selection page can be used to save a plurality of objects selected by the merchant.
  • the object to be recommended can be determined by selecting from the objects saved in the selection page, so that the merchant can determine the object to be recommended through simple operations. Referring to FIG.
  • a selection page for an object to be recommended provided in an embodiment of the present disclosure is shown, the page lists at least one of a plurality of objects 16, and optionally, identification information of the object to be recommended can also be displayed, and the identification information of the object to be recommended includes at least one of the information such as the picture, name, model, feature, and sales volume corresponding to the object to be recommended.
  • the anchor selects at least one commodity to be sold, the commodity can be displayed on the information recommendation page corresponding to the object to be recommended, such as the window management page in the figure.
  • a selection can be made on the selection page. For example, a user can click the Get Creative Inspiration button to select one of the objects to be recommended as the object to be recommended.
  • the multimedia information may include a first video.
  • the text and/or voice in the first video may be recognized to obtain a recognition result; the recognition result may be semantically analyzed to determine the object feature information of the object to be recommended.
  • the text in the first video may be recognized to obtain a text recognition result; the text recognition result may be semantically analyzed to determine a portion of the text corresponding to the object to be recommended, and based on the portion of the text, a first sentence that can reflect the attributes, characteristics or usage scenarios of the object to be recommended may be determined.
  • the optional first sentence may be used as the object feature information.
  • the first sentence may be further clustered to obtain a label corresponding to the first sentence.
  • the label corresponding to the first sentence may also be used as the object feature information.
  • the voice in the first video may be recognized to obtain a voice recognition result, the voice recognition result may be converted into a text format, and a similar process as the text recognition result may be performed.
  • a corresponding relationship between the object to be recommended and the first video that meets the preset conditions may be established. For example, if the object to be recommended is commodity A, the first video a released by anchor No. 1 when selling commodity A may be obtained, and the number of likes of the first video a exceeds 100,000.
  • the object characteristic information of the object to be recommended can be analyzed and determined from the first video, and a corresponding relationship between the first video and the object characteristic information of the object to be recommended can be established accordingly, such as the corresponding relationship between the first video a and "moisturizing" and "moisturizing expert", and a corresponding relationship between the object to be recommended, the first video and the object characteristic information can be established.
  • the object characteristic information is determined from the above corresponding relationship through the object to be recommended and displayed on the information recommendation page, and the first video can also be determined, which can be triggered by the object characteristic information
  • the corresponding first video is played. Specifically, the portion of the first video that matches the object to be recommended can be played, rather than the entire content of the first video.
  • the object feature information includes: an object feature label and feature text information corresponding to the object feature label.
  • the feature text information is obtained based on the multimedia information that meets the preset conditions.
  • the feature text information may be text information obtained by semantically analyzing the multimedia information
  • the object feature label may be obtained by clustering analysis of the feature text information.
  • the text information can reflect the information of the label.
  • the label is obtained based on text analysis and can also reflect the characteristics of the text.
  • the information recommendation page includes a first area 12 and a second area 11. Among them, the first area 12 is used to display the object feature label, and the second area 11 is used to display a number of feature text information.
  • the object feature information includes multiple object feature tags
  • the multiple object feature tags are displayed in the first area 12.
  • the object feature information includes multiple object feature tags "moisturizing” and “affordable”
  • the feature text information corresponding to the object feature tags is, for example, “moisturizing expert” and “moisturizing champion”.
  • the first area 12 is used to display multiple object feature tags “moisturizing” and “affordable”
  • the second area 11 is used to display "moisturizing expert” and "moisturizing champion”. Therefore, through the reasonable layout of the information recommendation page, it is convenient for merchants to browse.
  • the display content in the second area of the information recommendation page is adjusted to feature text information corresponding to the first tag.
  • the first tag is an object feature tag among the plurality of object feature tags.
  • the display mode of the second area may include two types:
  • Method 1 The second area only displays the feature text information corresponding to the first label, and does not display the feature text information corresponding to other labels.
  • the other labels are labels other than the first label among the multiple object feature labels.
  • the object feature information 12 contains multiple pieces of information related to moisturizing and affordability, and the user selects the object feature information "moisturizing”. The user clicks "moisturizing", and the display content in the second area 11 of the information recommendation page is adjusted to the example sentences related to "moisturizing” such as “moisturizing expert” and “moisturizing champion", and the feature text information related to "affordability" is not displayed.
  • the display content in the second area 11 of the information recommendation page is adjusted to the example sentence related to "affordability” such as "the most affordable on the entire network, you will regret it if you don't buy it now", and the feature text information related to "moisturizing" is no longer displayed.
  • Method 2 The feature text information corresponding to each tag can be displayed in the information recommendation page.
  • the feature text information corresponding to the first tag in response to the selection operation of the first tag among the multiple object feature tags, can be displayed in the second area.
  • the second area is located in the interface position visible to the user, while the feature text information corresponding to other tags is in the interface invisible to the user.
  • the second area is the current screen of the interface, which the user can view.
  • the feature text information corresponding to other tags may be in the next screen of the interface, which the user cannot view temporarily.
  • the user selects a different first tag, and each interface automatically jumps or switches to display the feature text information corresponding to the first tag in the currently visible second area. In this way, multiple multimedia are classified and screened to facilitate user browsing.
  • the object feature information can be used as a control to trigger the display of multimedia information.
  • Multimedia includes videos and live clips. If the content is a video, each example sentence displays the sales volume of the corresponding video and the video related to the author's nickname, and the sales volume is expressed in intervals, such as more than 300,000.
  • each example sentence displays the sales volume of the product in the corresponding live broadcast room and the live broadcast room related to the author's nickname, and the sales volume is also expressed in intervals. Therefore, when there are many pieces of object feature information, the object feature information can be displayed to users more clearly and more targeted.
  • the at least one multimedia and at least one of the object feature information can also be displayed according to the category of the multimedia or the category of the object to be recommended.
  • the category of multimedia includes, for example, short videos and live videos.
  • the multimedia is distinguished and displayed separately according to the category of the multimedia.
  • Figure 2 illustrates the multimedia corresponding to the live video 13, so that users can view multimedia of different categories and obtain more valuable multimedia.
  • the category of objects to be recommended includes multiple categories 13, such as explanations of the same product, explanations of similar products, videos of popular products, etc. If the corresponding multimedia is not included in the live video category, the corresponding module, such as the essence inspiration module, may not be displayed. Therefore, by displaying the at least one multimedia and at least one of the object feature information according to the category of the multimedia or the category of the object to be recommended, users can more conveniently obtain the multimedia required for their own creation.
  • the determination operation of at least one object characteristic information of the object to be recommended in step S120 includes at least one of the following operation modes: Operation mode 1: performing a preset trigger gesture on at least one characteristic text information in the second area, for example, performing a preset trigger gesture such as a single click or double click on at least one characteristic text information itself in the second area. For example, when the second area includes the characteristic text information "Moisturizing expert", the characteristic text information "Moisturizing expert" itself in the second area can be single-clicked.
  • Operation mode 2 performing a preset trigger operation on the selection control of at least one characteristic text information in the second area; wherein, in the second area of the information recommendation page, each characteristic text information is provided with a corresponding selection control, such as a control "Adopt".
  • a control "Adopt” can be single-clicked.
  • the information recommendation page may further include a third area 15, wherein the third area is used to display the identification information of the object to be recommended.
  • the identification information of the object to be recommended includes at least one of the name, number, features, and image of the object to be recommended.
  • the name is face cream, and the features are whitening and moisturizing. Therefore, the disclosed embodiment can conveniently and efficiently provide merchants with high-quality recommendation information through a reasonable layout of the information recommendation page.
  • FIG3 is a schematic diagram of another method for determining recommendation information provided by an embodiment of the present disclosure. As shown in the figure, the method includes:
  • S310 In response to the object selection operation, determining an object to be recommended, and displaying an information recommendation page corresponding to the object to be recommended.
  • This step can adopt the description of the corresponding step in the embodiment of Figure 1, and will not be repeated here.
  • S320 In response to a determination operation on at least one piece of object feature information of the object to be recommended, use the at least one piece of object feature information as recommendation information of the object to be recommended.
  • This step can adopt the description of the corresponding step in the embodiment of Figure 1, and will not be repeated here.
  • the information editing page includes an editing area, and the editing area is used to display the recommended information and receive editing text information for the recommended information.
  • the editing page is used to receive the merchant's edits to the recommended information.
  • the merchant can create on the basis of the recommended information in the editing area, such as adding, modifying or deleting the recommended information, and the input operation can be text input.
  • the input operation can also be voice or video input, and the text information is obtained by recognizing the voice or video input, and the obtained text information is used as the above text input.
  • FIG4 shows the present disclosure Schematic diagram of the editing page provided in the embodiment.
  • the editing area displays the recommended information determined in the previous step, such as "Price-performance ratio king" and “Moisturizing champion", while other object feature information displayed in the information recommendation page shown in the information diagram 2 but not selected, such as "Moisturizing expert” in Figure 2, is not recommended information and is not displayed in the editing page shown in Figure 4.
  • the image data for the object to be recommended can also be obtained first, wherein the image data can include pictures or videos, etc. Then, a recommendation video corresponding to the object to be recommended can be generated based on the image data, the edited text information and the recommendation information.
  • the author of the short video can input the image data for introducing product a, and combine the edited text information formed in the previous step and the recommendation information to determine the selling point of product a, the title of the short video, etc., thereby generating a short video introducing product a corresponding to the author of the short video.
  • the selling point of product a determined in this step can be "a moisturizing artifact suitable for all sensitive skin", etc., and the selling point of product a can be output by a character in the short video through voice.
  • the title of the short video can be "moisturizing, moisturizing, moisturizing to the extreme", and the title of the short video can be output in the form of text through the identification information of the short video, etc.
  • explanation prompt information corresponding to the object to be recommended may be generated based on the edited text information and the recommendation information.
  • the explanation prompt information corresponding to the object to be recommended may be displayed in the live broadcast room prompt page.
  • the object to be recommended may be an object being explained in the live broadcast room, or the object to be recommended may be an object that is not being explained but is in the list of objects to be explained in the live broadcast room, such as an object in the list of shared bikes.
  • the prompt page can be displayed on the display or terminal screen of the user on the operation side, and the prompt page is invisible to the buyer and other parties watching the live broadcast.
  • the user does not need to recite the copy, but can output the copy content fluently.
  • the prompt page may include a first area and a second area, the first area of the prompt page is used to display the edited text information, and the second area of the prompt page is used to display the recommended information.
  • the method when the operation of determining at least one object feature information of the object to be recommended is the first operation, before displaying the editing page corresponding to the object to be recommended, the method further includes: displaying a guide page, wherein the guide page is used to instruct the user to record the recommendation information in a
  • the editing page and the application method of the editing page introduce the application method of the editing page to the user, and help the new user who uses it for the first time to achieve the correct application operation. As shown in Figure 5, for example, the user is introduced to click the editing area to enter text, and the editing area can be long pressed for voice input, etc.
  • the triggering method for displaying the editing page may include the following methods.
  • Method 1 Perform a preset trigger operation on the selection control of at least one feature text information in the second area.
  • the user can click the button corresponding to the control "Adopt”. After clicking Adopt, the button can become Adopted, and the adopted content can be seen in the My Inspiration section of the editing page.
  • Method 2 Perform a trigger operation on the selection control of the recommended object. Referring to Figure 2, the user can also enter the editing page by triggering the "first button".
  • FIG6 shows a schematic diagram of the structure of a device for determining recommendation information provided by an embodiment of the present disclosure.
  • the device 600 includes: a first determining module 610 and a second determining module 620 .
  • the first determination module 610 is used to determine the object to be recommended in response to the object selection operation, and to display the information recommendation page corresponding to the object to be recommended; wherein the information recommendation page includes a plurality of object feature information of the object to be recommended, and the object feature information of the object to be recommended is determined according to the multimedia information corresponding to the object to be recommended that meets the preset conditions.
  • the second determination module 620 is used to respond to the determination operation for at least one object feature information of the object to be recommended, and use the at least one object feature information as the recommendation information of the object to be recommended.
  • the object feature information includes: an object feature label and feature text information corresponding to the object feature label;
  • the information recommendation page includes a first area and a second area, wherein the first area is used to display the object feature label, and the second area is used to display a number of feature text information; the feature text information is obtained based on the multimedia information that meets the preset conditions.
  • the first determination module 610 also adjusts the display content in the second area of the information recommendation page to the feature text information corresponding to the first tag in response to a selection operation for the first tag among the multiple object feature tags; wherein the first tag is an object feature tag among the multiple object feature tags.
  • the information recommendation page further includes a third area, wherein the third area is used to display identification information of the object to be recommended.
  • the second determination module 620 determines at least one object feature information of the object to be recommended, including at least one of the following:
  • a preset trigger operation is performed on a selection control of at least one characteristic text information in the second area; wherein, in the second area of the information recommendation page, each characteristic text information is provided with a corresponding selection control.
  • the second determination module 620 in response to the determination operation on at least one object feature information of the object to be recommended, uses the at least one object feature information as the recommendation information of the object to be recommended, and further displays an information editing page corresponding to the object to be recommended, wherein the information editing page includes an editing area, the editing area is used to display the recommendation information, and receive editing text information for the recommendation information.
  • the second determination module 620 after displaying the information editing page corresponding to the object to be recommended, the second determination module 620 also obtains image data for the object to be recommended; and generates a recommended video corresponding to the object to be recommended based on the image data, the editing text information and the recommendation information.
  • the second determination module 620 after displaying the editing page corresponding to the object to be recommended, the second determination module 620 also generates explanation prompt information corresponding to the object to be recommended based on the editing text information and the recommendation information; if it is detected that the object to be recommended is an explanation object in the live broadcast room, the explanation prompt information corresponding to the object to be recommended is displayed in the live broadcast room prompt page.
  • the second determination module 620 when the determination operation of at least one object feature information of the object to be recommended is a first operation, the second determination module 620 also displays a guide page before displaying the editing page corresponding to the object to be recommended, and the guide page is used to indicate how to record the recommendation information on the editing page and the application method of the editing page.
  • the multimedia information includes a first video
  • the second determination module 620 also recognizes the text and/or voice in the first video to obtain a recognition result before displaying the information recommendation page corresponding to the object to be recommended; performs semantic analysis on the recognition result to determine the object feature information of the object to be recommended.
  • the first determination module 610 is used to display a selection page of the object to be recommended, where the selection page of the object to be recommended displays multiple objects; on the selection page of the object to be recommended, receiving a selection operation of selecting at least one object from the multiple objects; and selecting the selected object. At least one object corresponding to the operation is determined as the object to be recommended.
  • the preset condition includes a predetermined parameter being greater than a preset threshold, and the predetermined parameter includes: at least one of a completion rate, a number of comments, a number of likes, and a number of shares of the multimedia information.
  • an object to be recommended is determined in response to an object selection operation, and an information recommendation page corresponding to the object to be recommended is displayed; wherein the information recommendation page includes a number of object feature information of the object to be recommended, and the object feature information of the object to be recommended is determined based on multimedia information corresponding to the object to be recommended and meeting preset conditions; in response to a determination operation for at least one object feature information of the object to be recommended, the at least one object feature information is used as recommendation information of the object to be recommended, which can improve the quality and efficiency of obtaining recommendation information of the object to be recommended and help multimedia creators accurately and quickly determine recommendation information of the object to be recommended.
  • the device 600 provided in the embodiment of the present disclosure can execute the methods described in the foregoing method embodiments and realize the functions and beneficial effects of the methods described in the foregoing method embodiments, which will not be described in detail here.
  • FIG7 shows a schematic diagram of the hardware structure of an electronic device 1000 that executes the data processing method provided by the embodiment of the present disclosure.
  • the electronic device includes a processor 1010, and optionally, an internal bus 1020, a network interface 1030, and a memory.
  • the memory may include a memory 1040, such as a high-speed random access memory (RAM), and may also include a non-volatile memory (non-volatile memory) 1050, such as at least one disk storage, etc.
  • the electronic device may also include hardware required for other services.
  • the processor 1010, the network interface 1030 and the memory may be interconnected via an internal bus 1020, which may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc.
  • ISA Industry Standard Architecture
  • PCI Peripheral Component Interconnect
  • EISA Extended Industry Standard Architecture
  • the bus may be divided into an address bus, a data bus, a control bus, etc.
  • ISA Industry Standard Architecture
  • PCI Peripheral Component Interconnect
  • EISA Extended Industry Standard Architecture
  • the memory is used to store programs.
  • the program may include program codes, and the program codes include computer operation instructions.
  • the memory may include a memory 1040 and a non-volatile memory 1050, and provide instructions and data to the processor 1010.
  • the processor 1010 reads the corresponding computer program from the non-volatile memory 1050 into the memory Then, 940 is executed to form a device for locating the target user at a logical level.
  • the processor 1010 executes the program stored in the memory and is specifically used to execute the method described in the embodiments of FIG. 1a-8 and achieve the same or corresponding technical effects.
  • the method disclosed in the embodiments shown in Figures 1a to 3 above can be applied to a processor or implemented by a processor 1010.
  • the processor 1010 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by an integrated logic circuit of hardware in the processor 1010 or an instruction in the form of software.
  • the above processor 1010 can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components.
  • the disclosed methods, steps and logic block diagrams in the embodiments of the present disclosure can be implemented or executed.
  • the general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc.
  • the steps of the method disclosed in the embodiments of the present disclosure can be directly embodied as being executed by a hardware decoding processor, or can be executed by a combination of hardware and software modules in the decoding processor.
  • the software module can be located in a storage medium mature in the art, such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory, or an electrically erasable programmable memory, a register, etc.
  • the storage medium is located in a memory, and the processor 1010 reads the information in the memory and completes the steps of the above method in combination with its hardware.
  • the electronic device can also execute the methods described in the foregoing method embodiments, and realize the functions and beneficial effects of the methods described in the foregoing method embodiments, which will not be described in detail here.
  • the electronic device of the embodiment of the present disclosure does not exclude other implementation methods, such as logic devices or a combination of software and hardware, etc., that is to say, the execution subject of the following processing flow is not limited to each logic unit, but can also be hardware or logic devices.
  • the embodiments of the present disclosure also propose a computer-readable storage medium, which stores one or more programs.
  • the one or more programs are executed by an electronic device including multiple application programs, the electronic device executes the methods described in the method embodiments of Figures 1a to 3 above, and realizes the functions and beneficial effects of the methods described in the method embodiments above, which will not be repeated here.
  • the computer readable storage medium includes a read-only memory (Read-Only Memory, ROM for short), Random Access Memory (RAM for short), magnetic disk or CD, etc.
  • the embodiments of the present disclosure also provide a computer program product, which includes a computer program stored on a non-transitory computer-readable storage medium, and the computer program includes program instructions.
  • the program instructions When the program instructions are executed by a computer, the following process is implemented: implementing the various methods described in the method embodiments of Figures 1a-3 above, and implementing the functions and beneficial effects of the various methods described in the method embodiments above, which will not be repeated here.
  • a typical implementation device is a computer.
  • the computer may be, for example, a personal computer, a laptop computer, a cellular phone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
  • Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information.
  • Information can be computer readable instructions, data structures, program modules or other data.
  • Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device.
  • computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

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Abstract

本公开实施例提供了一种确定推荐信息的方法、装置、电子设备和计算机可读介质，该方法包括：响应于对象选择操作，确定待推荐对象，以及，显示待推荐对象对应的信息推荐页面；其中，信息推荐页面包括待推荐对象的若干对象特征信息，待推荐对象的对象特征信息为根据待推荐对象对应的满足预设条件的多媒体信息所确定的；响应于针对待推荐对象的至少一个对象特征信息的确定操作，将至少一个对象特征信息作为待推荐对象的推荐信息。

Description

确定推荐信息的方法、装置、电子设备和存储介质
本申请要求于2022年11月21日递交的中国专利申请第202211459683.8号的优先权，在此全文引用上述中国专利申请公开的内容以作为本申请的一部分。
技术领域
本公开实施例涉及一种确定推荐信息的方法、装置、电子设备和存储介质。
背景技术
在通过多媒体介绍待推荐对象的过程中，待推荐对象的对象特征信息挖掘是多媒体质量的重要衡量标准，通过良好的特征表达和场景化展示，能够高质量输出待推荐对象的特征信息。例如，在通过多媒体介绍商品的过程中，良好的表达出商品的卖点，例如商品的优点和使用场景等是重要的。为了更好的挖掘待推荐对象的对象特征信息，多个多媒体信息之间的互相借鉴学习能够便于提高介绍待推荐对象的质量和效率。
然而，通常需要多媒体的创造者人工阅览大量多媒体资源，手动记录信息，并从中提取对象特征信息，来为创作中的多媒体提供信息。这种介绍待推荐对象的效率低，且人工方式阅览的数据数量有限，所形成的介绍待推荐对象的信息质量也不高。
发明内容
本公开实施例的目的是提供一种确定推荐信息的方法、装置、电子设备和存储介质，能够提高获得待推荐对象的推荐信息的质量和效率。
为解决上述技术问题，本公开实施例是通过以下各方面实现的。
第一方面，本公开实施例提供了一种确定推荐信息的方法，包括：响应于对象选择操作，确定待推荐对象，以及，显示所述待推荐对象对应的信息推荐页面；其中，所述信息推荐页面包括所述待推荐对象的若干对象特征信 息，所述待推荐对象的对象特征信息为根据所述待推荐对象对应的满足预设条件的多媒体信息所确定的；响应于针对所述待推荐对象的至少一个对象特征信息的确定操作，将所述至少一个对象特征信息作为所述待推荐对象的推荐信息。
第二方面，本公开实施例提供了一种确定推荐信息的装置，包括：第一确定模块，用于响应于对象选择操作，确定待推荐对象，以及，显示所述待推荐对象对应的信息推荐页面；其中，所述信息推荐页面包括所述待推荐对象的若干对象特征信息，所述待推荐对象的对象特征信息为根据所述待推荐对象对应的满足预设条件的多媒体信息所确定的；第二确定模块，用于响应于针对所述待推荐对象的至少一个对象特征信息的确定操作，将所述至少一个对象特征信息作为所述待推荐对象的推荐信息。
第三方面，本公开实施例提供了一种电子设备，包括：存储器、处理器和存储在所述存储器上并可在所述处理器上运行的计算机可执行指令，所述计算机可执行指令被所述处理器执行时实现上述第一方面所述的确定推荐信息的方法。
第四方面，本公开实施例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用于存储计算机可执行指令，所述计算机可执行指令被处理器执行时实现上述第一方面所述的确定推荐信息的方法。
附图说明
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，下面描述中的附图仅仅是本公开中记载的一些实施例，对于本领域普通技术人员来讲，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1a示出本公开实施例提供的一种确定推荐信息的方法的一种流程示意图；
图1b为本公开实施例提供的信息推荐页面的示意图；
图1c为本公开实施例提供的选择页面的一种示意图；
图2为本公开实施例提供的对象特征信息的信息推荐页面的另一种示意 图；
图3示出本公开实施例提供的一种确定推荐信息的方法的另一种流程示意图；
图4为本公开实施例提供的编辑页面的一种示意图；
图5为本公开实施例提供的引导页面的一种示意图；
图6示出本公开实施例提供的一种确定推荐信息的装置的结构示意图；以及
图7为执行本公开实施例提供的一种确定推荐信息的方法的电子设备的硬件结构示意图。
具体实施方式
为了使本技术领域的人员更好地理解本公开实施例中的技术方案，下面将结合本公开实施例中的附图，对本公开实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅仅是本公开一部分实施例，而不是全部的实施例。基于本公开中的实施例，本领域普通技术人员在没有作出创造性劳动前提下所获得的所有其他实施例，都应当属于本公开实施例保护的范围。
图1a示出本公开实施例提供的一种确定推荐信息的方法的一种流程示意图，该方法可以由电子设备执行，例如终端设备或服务端设备。换言之，所述方法可以由安装在终端设备或服务端设备的软件或硬件来执行。所述服务端包括但不限于：单台服务器、服务器集群、云端服务器或云端服务器集群等。
应用本方案的用户可以为多媒体信息的提供方或发布方，例如包括直播卖货的主播、商家运营方或短视频的创造者等，可以统称为商家。在通过多媒体信息介绍待推荐对象的场景中，有需要高质量高效率地输出待推荐对象的对象特征信息。为了更好的挖掘待推荐对象的对象特征信息可能需要借鉴学习其他多媒体信息。商家侧需要为商品创建推荐文本时，可以借鉴学习该商品对应的其他多媒体信息中的推荐信息来创建属于商家自己的商品的推荐脚本(可以理解的是，推荐脚本为可以复用的文本)，以便后续商家针对该商品制作短视频或者直播推荐时，可以基于该脚本创作短视频的商品推荐文本(例如商品卖点)，而不需要商家在不同场景下再重新多次手动输入该商品 的推荐文本。基于此，结合图1a所示，可以执行以下步骤。
步骤S110：响应于对象选择操作，确定待推荐对象，以及，显示所述待推荐对象对应的信息推荐页面。
其中，待推荐对象可以包括商家正在或将要进行推荐的商品，短视频发布者正在或将要推荐的对象。待推荐对象可以是有形的对象，也可以为无形的对象，例如某种服务项目等。所述信息推荐页面包括所述待推荐对象的若干对象特征信息，所述待推荐对象的对象特征信息为根据所述待推荐对象对应的满足预设条件的多媒体信息所确定的。
信息推荐页面用于显示待推荐对象的若干对象特征信息，使商家能够方便快捷地浏览到待推荐对象的若干对象特征信息，并可以通过该信息推荐页面在后续的步骤中对至少一个对象特征信息进行选择确认。图1b示出的本公开实施例提供的信息推荐页面的一种示意图，每个待推荐对象可以包含一个或多个对象特征信息。对象特征信息可以用于表示待推荐对象的属性、特征或使用场景。例如待推荐对象为面霜，其对象特征信息可以包括“性价比之王”和“保湿冠军”等。此外，对象特征信息还可以是体现使用场景等维度的特征信息，例如送父母、送亲友等场景。对象特征信息的展示形式可以包括：特征词汇、包含特征词汇的例句和多媒体内容示例中的至少一种。例如，面霜对应的特征词汇可以为“保湿”，包含特征词汇的例句可以为“保湿小能手，买它！”，多媒体内容可以为某主播直播销售该面霜的直播内容。
可选的，多媒体信息的形式可以包括短视频或直播，可以是完整的短视频或直播内容，也可以是短视频或直播中所述待推荐对象对应的片段。商家可以通过触发对象特征信息观看对应的多媒体信息。
多媒体信息满足预设条件。所述预设条件可以包括预定参数大于预设阈值的条件，所述预定参数可以包括：多媒体信息的完播率、评论数、点赞数和分享数中的至少一者。具体地，多媒体信息满足以下至少一者：
多媒体信息的完播率大于预设完播率阈值；
针对该多媒体信息的评论数大于预设评论数阈值；
针对该多媒体信息的点赞数大于预设点赞数阈值；
分享该多媒体信息的分享数大于预设分享数阈值。
由此，通过预定条件的设置可以提高多媒体信息的质量，也提高最终从 多媒体信息中确定的待推荐对象的推荐信息的质量。
可以理解的是，在使用本公开中各个实施例的技术方案之前，均会通过恰当的方式对所涉及的用户的知识产权、个人信息的类型、使用范围、使用场景等告知用户，并获得用户的授权。例如，本步骤确定所述待推荐对象对应的至少一个多媒体之前，作为一种可选的但非限定的实现方式，还应接收多媒体的著作权人的授权，该授权可以通过向用户发送提示信息的方式例如可以是弹窗的方式，弹窗中可以以文字的方式呈现授权提示信息。此外，弹窗中还可以承载供用户选择“同意”或者“不同意”向电子设备提供著作权授权的选择控件，并实现用户对著作权的使用范围、使用场景等内容的确认。类似的，在需要获得用户，例如多媒体的著作权人的个人信息的情况下也可以进行类似的技术处理。可以理解的是，上述通知和获取用户授权过程仅是示意性的，不对本公开的实现方式构成限定，其他满足相关法律法规的方式也可应用于本公开的实现方式中。
步骤S120：响应于针对所述待推荐对象的至少一个对象特征信息的确定操作，将所述至少一个对象特征信息作为所述待推荐对象的推荐信息。
结合图1b，用户可以对对象特征信息1“性价比之王”或对象特征信息2“保湿冠军”进行确定操作，若确定对象特征信息2“保湿冠军”则在本步骤中将对象特征信息2“保湿冠军”作为所述待推荐对象的推荐信息。
本公开实施例提供的一种确定推荐信息的方法，包括响应于对象选择操作，确定待推荐对象，以及，显示所述待推荐对象对应的信息推荐页面；其中，所述信息推荐页面包括所述待推荐对象的若干对象特征信息，所述待推荐对象的对象特征信息为根据所述待推荐对象对应的满足预设条件的多媒体信息所确定的；响应于针对所述待推荐对象的至少一个对象特征信息的确定操作，将所述至少一个对象特征信息作为所述待推荐对象的推荐信息。其中，通过信息推荐页面使商家能够方便快捷地浏览待推荐对象的若干对象特征信息，并从中做出选择确认，从而能够提高获取待推荐对象的推荐信息的效率，通过预设条件的设置可以提高获取待推荐对象的推荐信息的质量，进而帮助多媒体创作者准确、快速地确定待推荐对象的推荐信息。
在一种实现方式中，在步骤S110中可以显示所述待推荐对象的选择页面，所述待推荐对象的选择页面显示有多个对象；在所述待推荐对象的选择 页面，接收从多个所述对象中选择至少一个对象的选择操作；将所述选择操作对应的至少一个对象确定为所述待推荐对象。选择页面可以用于保存商家选中的多个对象。本步骤可以从该选择页面保存的对象中进行选择以确定待推荐对象，能够使商家通过简单的操作确定待推荐对象。参见图1c示出的本公开实施例提供的一种待推荐对象的选择页面，该页面列出至少一个多个对象16，可选的，还可以显示待推荐对象的标识信息，待推荐对象的标识信息包括待推荐对象对应的图片、名称、型号、特征、销量等信息中的至少一种。主播选择准备售卖的至少一个商品后，可以将商品显示在待推荐对象对应的信息推荐页面，例如图中的橱窗管理页面。在本步骤中可以在该选择页面进行选择。例如，用户可以点击获取创作灵感按钮，选择其中一个待推荐对象作为待推荐对象。
在一种实现方式中，所述多媒体信息可以包括第一视频，在步骤S110在所述显示所述待推荐对象对应的信息推荐页面之前，还可以对所述第一视频中的文本和/或语音进行识别得到识别结果；对所述识别结果进行语义分析，确定所述待推荐对象的对象特征信息。具体地，可以对所述第一视频中的文本进行识别得到文本识别结果；对所述文本识别结果进行语义分析，确定所述待推荐对象对应的部分文本，并基于该部分文本确定能够体现待推荐对象的属性、特点或使用场景的第一语句，可选的第一语句可以作为对象特征信息，此外，还可以对第一语句进一步进行聚类分析，得到第一语句对应的标签。第一语句对应的标签也可以作为对象特征信息。类似的，还可以对所述第一视频中的语音进行识别得到语音识别结果，将语音识别结果转换为文本格式，并进行和文本识别结果类似的处理。可选的，在步骤S110之前，可以建立待推荐对象与满足预设条件的第一视频之间的对应关系，例如，待推荐对象为A商品，那么可以获取1号主播销售A商品时发布的第一视频a，第一视频a的点赞数超过10万。进而在本步骤中可以从第一视频中分析确定待推荐对象的对象特征信息，也相应的建立第一视频与待推荐对象的对象特征信息之间的对应关系，例如第一视频a与“保湿”、“保湿能手”的对应关系，以及建立待推荐对象、第一视频与对象特征信息三者之间的对应关系。在步骤S110中，通过待推荐对象，从上述对应关系中，确定对象特征信息并显示在信息推荐页面中，也可以确定第一视频，可以通过触发对象特征信息 播放对应的第一视频。具体可以播放第一视频中与待推荐对象匹配的部分，而非播放第一视频的全部内容。
参见图2示出的本公开实施例提供的对象特征信息的信息推荐页面的另一种示意图。在一种可能的实现方式中，所述对象特征信息包括：对象特征标签和所述对象特征标签对应的特征文本信息。所述特征文本信息为根据所述满足预设条件的多媒体信息得到的，例如，特征文本信息可以是对多媒体信息进行语义分析得到的文本信息，对象特征标签可以是对特征文本信息进行聚类分析得到的。该文本信息与标签之间具有对应性，文本信息能够反映标签的信息，标签是基于文本分析得到的，也能够体现文本的特征。所述信息推荐页面包括第一区域12和第二区域11。其中，所述第一区域12用于显示所述对象特征标签，所述第二区域11用于显示若干特征文本信息。
可选的，若所述对象特征信息包括多个对象特征标签，则所述第一区域12中显示所述多个对象特征标签。例如图2，所述对象特征信息包括多个对象特征标签“保湿”和“实惠”，所述对象特征标签对应的特征文本信息，例如“保湿能手”“保湿冠军”。再例如，“买了这个保湿小能手你一定后悔，因为后悔买晚了”等(图中未示出)。所述第一区域12用于显示多个对象特征标签“保湿”“实惠”，所述第二区域11用于显示“保湿能手”“保湿冠军”。由此，通过对信息推荐页面的合理布局，方便商家浏览。
在一种实现方式中，响应于针对所述多个对象特征标签中第一标签的选择操作，将所述信息推荐页面的第二区域中的显示内容调整为所述第一标签对应的特征文本信息。其中，所述第一标签为所述多个对象特征标签中的一对象特征标签。第二区域的显示方式可以包括两种：
方式一：第二区域仅显示第一标签对应的特征文本信息，不显示其它标签对应的特征文本信息，其它标签为所述多个对象特征标签中除第一标签之外的标签。如图2所示，对象特征信息12包含与保湿、实惠相关的多条信息，用户选择对象特征信息“保湿”。用户点击“保湿”，将所述信息推荐页面的第二区域11中的显示内容调整为与“保湿”相关的例句“保湿能手”、“保湿冠军”，而不显示与“实惠”相关的特征文本信息。反之，若用户点击“实惠”，则将所述信息推荐页面的第二区域11中的显示内容调整为与“实惠”相关的例句“全网最实惠，现在不买一定后悔”，而不再显示与“保湿” 相关的上述例句。
方式二：信息推荐页面中可以显示每个标签对应的特征文本信息，在本步骤中响应于针对所述多个对象特征标签中第一标签的选择操作，可以将第一标签对应的特征文本信息显示在第二区域，通过显示界面的跳转或切换，使第二区域位于用户可见的界面位置，而其它标签对应的特征文本信息处于用户不可见的界面中。例如，在分屏显示的方式中，第二区域为界面当前显示的一屏，用户可以观看。然而其它标签对应的特征文本信息可以处于界面的下一屏，用户暂时无法观看。用户选择不同的第一标签，各界面自动跳转或切换，将与第一标签对应的特征文本信息显示在当前可见的第二区域中。由此，对多个多媒体进行分类筛选，便于用户浏览。
可选的，在该信息推荐页面，对象特征信息可以作为触发显示多媒体信息的控件，点击对象特征信息，可以观看对象特征信息对应的多媒体信息，在本步骤中可以设置每个信息推荐页面能够展示的对象特征信息的个数，也即可以设置能够链接到的多媒体信息的个数，例如最多展示五个等。多媒体包括视频和直播片段。如果内容是视频，每个例句展示对应视频的销量及作者昵称相关的视频，销量使用区间化表达，如30万以上等。类似的，如果多媒体是直播，每个例句展示对应直播间该商品的销量及作者昵称相关的直播间，同样销量使用区间化表达。由此，在对象特征信息条数较多时，可以更清晰、更有针对性地向用户展示对象特征信息。
在一种实现方式中，在所述对象特征信息的信息推荐页面，还可以按照所述多媒体的类别或所述待推荐对象的类别，显示所述至少一个多媒体和至少一个所述对象特征信息。结合图2，多媒体的类别例如包括短视频和直播视频。在信息推荐页面按照所述多媒体的类别，对多媒体进行区分并分别显示。例如，图2示意了多媒体的类别为直播视频13对应的多媒体，以便于用户查看不同类别的多媒体，获得更有价值的多媒体。待推荐对象的类别包括多个类别13，例如同款商品讲解、同类商品讲解、热门商品视频等。如果直播视频类别下没有包含对应的多媒体，则可以不显示对应的模块，例如精华灵感模块。由此，通过按照所述多媒体的类别或所述待推荐对象的类别，显示所述至少一个多媒体和至少一个所述对象特征信息，可以使用户更便捷地获取自己创作所需的多媒体。
在一种可能的实现方式中，步骤S120所述针对所述待推荐对象的至少一个对象特征信息的确定操作包括以下操作方式中的至少一种：操作方式1：对所述第二区域中至少一特征文本信息执行预设触发手势，例如，对所述第二区域中至少一特征文本信息本身执行的单击或双击等预设触发手势。例如在第二区域中包括特征文本信息“保湿能手”的情况下，可以对所述第二区域中的特征文本信息“保湿能手”本身进行单击。操作方式2：对所述第二区域中至少一特征文本信息的选择控件执行预设触发操作；其中，在所述信息推荐页面的第二区域中，每个特征文本信息均设置有对应的选择控件，例如控件“采用”。本方式例如可以单击控件“采用”。
结合图2所示，在一种可能的实现方式中，所述信息推荐页面还可以包括第三区域15，其中，所述第三区域用于显示所述待推荐对象的标识信息。可选的，待推荐对象的标识信息包括待推荐对象的名称、编号、特征、图像中的至少一种。例如，名称面霜，特征美白保湿等。由此，本公开实施例可以通过对信息推荐页面的合理布局，方便、高效地为商家提供高质量的推荐信息。
图3是本公开实施例提供的另一种确定推荐信息的方法的示意图，如图所示，该方法包括：
S310：响应于对象选择操作，确定待推荐对象，以及，显示所述待推荐对象对应的信息推荐页面。
本步骤可以采用图1实施例对应步骤的描述，不再赘述。
S320：响应于针对所述待推荐对象的至少一个对象特征信息的确定操作，将所述至少一个对象特征信息作为所述待推荐对象的推荐信息。
本步骤可以采用图1实施例对应步骤的描述，不再赘述。
S330：显示所述待推荐对象对应的信息编辑页面。
其中，所述信息编辑页面包括编辑区域，所述编辑区域用于显示所述推荐信息，以及，接收针对所述推荐信息的编辑文本信息。编辑页面用于接收商家对推荐信息的编辑，商家可以在编辑区域，在推荐信息的基础上进行创作，例如对推荐信息进行新增、修改或删除等输入操作，该输入操作可以为文本输入。该输入操作也可以为语音或视频输入，通过对语音或视频输入的识别得到文本信息，将得到的文本信息作为上述文本输入。图4示出本公开 实施例提供的编辑页面的示意图。例如“我的灵感”页面40，其中的编辑区域显示上一步骤确定的推荐信息，例如“性价比之王”、“保湿冠军”，而显示在信息图2所示的信息推荐页面中但未被选中的其他对象特征信息，例如图2中的“保湿能手”则不作为推荐信息，不显示在图4所示的编辑页面中。
在一种实现方式中，在本步骤后还可以先获取针对所述待推荐对象的影像数据，其中，影像数据可以包括图片或视频等。然后，可以根据所述影像数据、所述编辑文本信息和所述推荐信息，生成所述待推荐对象对应的推荐视频。例如，短视频的作者可以输入针对介绍商品a的影像数据，结合之前步骤形成的编辑文本信息和所述推荐信息，可以确定商品a的卖点，短视频的标题等，由此生成该短视频的作者对应的介绍商品a的短视频。例如，商品a为面霜的情况下，本步骤确定的商品a的卖点可以为“适合所有敏感肌的保湿神器”等，商品a的卖点可以在短视频中由某角色通过语音输出。短视频的标题可以为“保湿、保湿、保湿到离谱”，短视频的标题可以通过短视频的标识信息等方式以文本的形式输出。
在一种实现方式中，在本步骤后还可以根据所述编辑文本信息和所述推荐信息，生成所述待推荐对象对应的讲解提示信息。可选地，若检测到所述待推荐对象为直播间讲解对象，则可以在直播间提示页面中展示所述待推荐对象对应的讲解提示信息。具体地，待推荐对象可以为直播间正在讲解中的对象，或者待推荐对象可以为非正在讲解但是在直播间待讲解列表中的对象，例如小黄车列表中的对象。
作为一种示例，可以先针对推荐信息进行增加、修改或删除等编辑操作生成讲解提示信息，基于讲解提示信息生成待推荐对象对应的提示页面，该提示页面可以显示在运营侧用户的显示器或终端屏幕上，提示页面对买家等观看直播的一方则不可见。使用户在录制视频或者直播时，不用背诵文案，也能流利输出文案内容。其中，所述提示页面可以包括第一区域和第二区域，所述提示页面的第一区域用于显示所述编辑文本信息，所述提示页面的第二区域用于显示所述推荐信息。
在一种实现方式中，在针对所述待推荐对象的至少一个对象特征信息的确定操作为首次操作的情况下，在所述显示所述待推荐对象对应的编辑页面之前还包括：显示引导页面，所述引导页面用于指示将所述推荐信息记录在 所述编辑页面及所述编辑页面的应用方式，向用户介绍编辑页面的应用方式，帮助首次使用的新用户实现正确的应用操作。如图5所示，例如，向用户介绍可以点击编辑区域输入文本，可以长按编辑区域进行语音输入等。
在一种实现方式中，显示编辑页面的触发方式可以包括以下方式。方式1：对所述第二区域中至少一特征文本信息的选择控件执行预设触发操作，结合图2，用户可以点击控件“采用”对应的按钮。点击采用后按钮可以变成已采用，采用的内容在编辑页面我的灵感部分可见。方式2：对待推荐对象的选择控件执行触发操作。参见图2，通过触发“第一按钮”用户也可以进入编辑页面。
图6示出本公开实施例提供的一种确定推荐信息的装置的结构示意图，该装置600包括：第一确定模块610和第二确定模块620。
第一确定模块610用于响应于对象选择操作，确定待推荐对象，以及，显示所述待推荐对象对应的信息推荐页面；其中，所述信息推荐页面包括所述待推荐对象的若干对象特征信息，所述待推荐对象的对象特征信息为根据所述待推荐对象对应的满足预设条件的多媒体信息所确定的。第二确定模块620用于响应于针对所述待推荐对象的至少一个对象特征信息的确定操作，将所述至少一个对象特征信息作为所述待推荐对象的推荐信息。
在一种实现方式中，所述对象特征信息包括：对象特征标签和所述对象特征标签对应的特征文本信息；所述信息推荐页面包括第一区域和第二区域，其中，所述第一区域用于显示所述对象特征标签，所述第二区域用于显示若干特征文本信息；所述特征文本信息为根据所述满足预设条件的多媒体信息得到的。
在一种实现方式中，若所述对象特征信息包括多个对象特征标签，则所述第一区域中显示所述多个对象特征标签；在所述显示所述待推荐对象对应的信息推荐页面之后，第一确定模块610还响应于针对所述多个对象特征标签中第一标签的选择操作，将所述信息推荐页面的第二区域中的显示内容调整为所述第一标签对应的特征文本信息；其中，所述第一标签为所述多个对象特征标签中的一对象特征标签。
在一种实现方式中，所述信息推荐页面还包括第三区域，其中，所述第三区域用于显示所述待推荐对象的标识信息。
在一种实现方式中，第二确定模块620针对所述待推荐对象的至少一个对象特征信息的确定操作包括以下至少一种：
对所述第二区域中至少一特征文本信息执行预设触发手势；
对所述第二区域中至少一特征文本信息的选择控件执行预设触发操作；其中，在所述信息推荐页面的第二区域中，每个特征文本信息均设置有对应的选择控件。
在一种实现方式中，第二确定模块620在所述响应于针对所述待推荐对象的至少一个对象特征信息的确定操作，将所述至少一个对象特征信息作为所述待推荐对象的推荐信息之后，还显示所述待推荐对象对应的信息编辑页面，其中，所述信息编辑页面包括编辑区域，所述编辑区域用于显示所述推荐信息，以及，接收针对所述推荐信息的编辑文本信息。
在一种实现方式中，第二确定模块620在所述显示所述待推荐对象对应的信息编辑页面之后，还获取针对所述待推荐对象的影像数据；根据所述影像数据、所述编辑文本信息和所述推荐信息，生成所述待推荐对象对应的推荐视频。
在一种实现方式中，第二确定模块620在所述显示所述待推荐对象对应的编辑页面之后，还根据所述编辑文本信息和所述推荐信息，生成所述待推荐对象对应的讲解提示信息；若检测到所述待推荐对象为直播间讲解对象，则在直播间提示页面中展示所述待推荐对象对应的讲解提示信息。
在一种实现方式中，在针对所述待推荐对象的至少一个对象特征信息的确定操作为首次操作的情况下，第二确定模块620在所述显示所述待推荐对象对应的编辑页面之前还显示引导页面，所述引导页面用于指示将所述推荐信息记录在所述编辑页面及所述编辑页面的应用方式。
在一种实现方式中，所述多媒体信息包括第一视频，第二确定模块620在所述显示所述待推荐对象对应的信息推荐页面之前还对所述第一视频中的文本和/或语音进行识别得到识别结果；对所述识别结果进行语义分析，确定所述待推荐对象的对象特征信息。
在一种实现方式中，第一确定模块610用于显示所述待推荐对象的选择页面，所述待推荐对象的选择页面显示有多个对象；在所述待推荐对象的选择页面，接收从多个所述对象中选择至少一个对象的选择操作；将所述选择 操作对应的至少一个对象确定为所述待推荐对象。
在一种实现方式中，所述预设条件包括预定参数大于预设阈值，所述预定参数包括：多媒体信息的完播率、评论数、点赞数和分享数中的至少一者。
在本公开实施例中，通过响应于对象选择操作，确定待推荐对象，以及，显示所述待推荐对象对应的信息推荐页面；其中，所述信息推荐页面包括所述待推荐对象的若干对象特征信息，所述待推荐对象的对象特征信息为根据所述待推荐对象对应的满足预设条件的多媒体信息所确定的；响应于针对所述待推荐对象的至少一个对象特征信息的确定操作，将所述至少一个对象特征信息作为所述待推荐对象的推荐信息，能够提高获得待推荐对象的推荐信息的质量和效率，帮助多媒体创作者准确、快速地确定待推荐对象的推荐信息。
本公开实施例提供的该装置600，可执行前文方法实施例中所述的各方法，并实现前文方法实施例中所述的各方法的功能和有益效果，在此不再赘述。
图7示出执行本公开实施例提供的数据处理的方法的电子设备1000的硬件结构示意图，该图，在硬件层面，电子设备包括处理器1010，可选地，包括内部总线1020、网络接口1030、存储器。其中，存储器可能包含内存1040，例如高速随机存取存储器(Random-Access Memory，RAM)，也可能还包括非易失性存储器(non-volatile memory)1050，例如至少1个磁盘存储器等。当然，该电子设备还可能包括其他业务所需要的硬件。
处理器1010、网络接口1030和存储器可以通过内部总线1020相互连接，该内部总线可以是工业标准体系结构(Industry Standard Architecture，ISA)总线、外设部件互连标准(Peripheral Component Interconnect，PCI)总线或扩展工业标准结构(Extended Industry Standard Architecture，EISA)总线等。所述总线可以分为地址总线、数据总线、控制总线等。为便于表示，该图中仅用一个双向箭头表示，但并不表示仅有一根总线或一种类型的总线。
存储器，用于存放程序。具体地，程序可以包括程序代码，所述程序代码包括计算机操作指令。存储器可以包括内存1040和非易失性存储器1050，并向处理器1010提供指令和数据。
处理器1010从非易失性存储器1050中读取对应的计算机程序到内存 940中然后运行，在逻辑层面上形成定位目标用户的装置。处理器1010，执行存储器所存放的程序，并具体用于执行图1a-8实施例所述的方法，并实现相同或相应的技术效果。
上述图1a-图3所示实施例揭示的方法可以应用于处理器中，或者由处理器1010实现。处理器1010可能是一种集成电路芯片，具有信号的处理能力。在实现过程中，上述方法的各步骤可以通过处理器1010中的硬件的集成逻辑电路或者软件形式的指令完成。上述的处理器1010可以是通用处理器，包括中央处理器(Central Processing Unit，CPU)、网络处理器(Network Processor，NP)等；还可以是数字信号处理器(Digital Signal Processor，DSP)、专用集成电路(Application Specific Integrated Circuit，ASIC)、现场可编程门阵列(Field－Programmable Gate Array，FPGA)或者其他可编程逻辑器件、分立门或者晶体管逻辑器件、分立硬件组件。可以实现或者执行本公开实施例中的公开的各方法、步骤及逻辑框图。通用处理器可以是微处理器或者该处理器也可以是任何常规的处理器等。结合本公开实施例所公开的方法的步骤可以直接体现为硬件译码处理器执行完成，或者用译码处理器中的硬件及软件模块组合执行完成。软件模块可以位于随机存储器，闪存、只读存储器，可编程只读存储器或者电可擦写可编程存储器、寄存器等本领域成熟的存储介质中。该存储介质位于存储器，处理器1010读取存储器中的信息，结合其硬件完成上述方法的步骤。
该电子设备还可执行前文方法实施例中所述的各方法，并实现前文方法实施例中所述的各方法的功能和有益效果，在此不再赘述。
当然，除了软件实现方式之外，本公开实施例的电子设备并不排除其他实现方式，比如逻辑器件抑或软硬件结合的方式等等，也就是说以下处理流程的执行主体并不限定于各个逻辑单元，也可以是硬件或逻辑器件。
本公开实施例还提出了一种计算机可读存储介质，所述计算机可读介质存储一个或多个程序，所述一个或多个程序当被包括多个应用程序的电子设备执行时，使得所述电子设备执行前文图1a-图3方法实施例中所述的各方法，并实现前文方法实施例中所述的各方法的功能和有益效果，在此不再赘述。
其中，所述的计算机可读存储介质包括只读存储器(Read-Only Memory， 简称ROM)、随机存取存储器(Random Access Memory，简称RAM)、磁碟或者光盘等。
进一步地，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存储在非暂态计算机可读存储介质上的计算机程序，所述计算机程序包括程序指令，当所述程序指令被计算机执行时，实现以下流程：实现前文图1a-图3方法实施例中所述的各方法，并实现前文方法实施例中所述的各方法的功能和有益效果，在此不再赘述。
总之，以上所述仅为本公开的较佳实施例，并非用于限定本公开实施例的保护范围。凡在本公开的精神和原则之内，所作的任何修改、等同替换、改进等，均应包含在本公开的保护范围之内。
上述实施例阐明的系统、装置、模块或单元，具体可以由计算机芯片或实体实现，或者由具有某种功能的产品来实现。一种典型的实现设备为计算机。具体的，计算机例如可以为个人计算机、膝上型计算机、蜂窝电话、相机电话、智能电话、个人数字助理、媒体播放器、导航设备、电子邮件设备、游戏控制台、平板计算机、可穿戴设备或者这些设备中的任何设备的组合。
计算机可读介质包括永久性和非永久性、可移动和非可移动媒体可以由任何方法或技术来实现信息存储。信息可以是计算机可读指令、数据结构、程序的模块或其他数据。计算机的存储介质的例子包括，但不限于相变内存(PRAM)、静态随机存取存储器(SRAM)、动态随机存取存储器(DRAM)、其他类型的随机存取存储器(RAM)、只读存储器(ROM)、电可擦除可编程只读存储器(EEPROM)、快闪记忆体或其他内存技术、只读光盘只读存储器(CD-ROM)、数字多功能光盘(DVD)或其他光学存储、磁盒式磁带，磁带磁磁盘存储或其他磁性存储设备或任何其他非传输介质，可用于存储可以被计算设备访问的信息。按照本文中的界定，计算机可读介质不包括暂存电脑可读媒体(transitory media)，如调制的数据信号和载波。
还需要说明的是，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、商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、商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、 商品或者设备中还存在另外的相同要素。
本公开实施例中的各个实施例均采用递进的方式描述，各个实施例之间相同相似的部分互相参见即可，每个实施例重点说明的都是与其他实施例的不同之处。尤其，对于系统实施例而言，由于其基本相似于方法实施例，所以描述的比较简单，相关之处参见方法实施例的部分说明即可。

Claims (15)

  1. 一种确定推荐信息的方法，包括：
    响应于对象选择操作，确定待推荐对象，以及，显示所述待推荐对象对应的信息推荐页面；其中，所述信息推荐页面包括所述待推荐对象的若干对象特征信息，所述待推荐对象的对象特征信息为根据所述待推荐对象对应的满足预设条件的多媒体信息所确定的；
    响应于针对所述待推荐对象的至少一个对象特征信息的确定操作，将所述至少一个对象特征信息作为所述待推荐对象的推荐信息。
  2. 根据权利要求1所述的确定推荐信息的方法，其中，所述对象特征信息包括：对象特征标签和所述对象特征标签对应的特征文本信息；所述信息推荐页面包括第一区域和第二区域，其中，所述第一区域用于显示所述对象特征标签，所述第二区域用于显示若干特征文本信息；所述特征文本信息为根据所述满足预设条件的多媒体信息得到的。
  3. 根据权利要求2所述的确定推荐信息的方法，其中，若所述对象特征信息包括多个对象特征标签，则所述第一区域中显示所述多个对象特征标签；在所述显示所述待推荐对象对应的信息推荐页面之后，所述确定推荐信息的方法还包括：
    响应于针对所述多个对象特征标签中第一标签的选择操作，将所述信息推荐页面的所述第二区域中的显示内容调整为所述第一标签对应的特征文本信息；其中，所述第一标签为所述多个对象特征标签中的一对象特征标签。
  4. 根据权利要求2或3所述的确定推荐信息的方法，其中，所述信息推荐页面还包括第三区域，所述第三区域用于显示所述待推荐对象的标识信息。
  5. 根据权利要求2-4任一所述的确定推荐信息的方法，其中，所述针对所述待推荐对象的至少一个对象特征信息的确定操作包括以下至少一种：
    对所述第二区域中至少一特征文本信息执行预设触发手势；
    对所述第二区域中至少一特征文本信息的选择控件执行预设触发操作；其中，在所述信息推荐页面的所述第二区域中，每个特征文本信息均设置有对应的选择控件。
  6. 根据权利要求1-5任一所述的确定推荐信息的方法，其中，在所述响 应于针对所述待推荐对象的至少一个对象特征信息的确定操作，将所述至少一个对象特征信息作为所述待推荐对象的推荐信息之后，所述确定推荐信息的方法还包括：
    显示所述待推荐对象对应的信息编辑页面，其中，所述信息编辑页面包括编辑区域，所述编辑区域用于显示所述推荐信息，以及，接收针对所述推荐信息的编辑文本信息。
  7. 根据权利要求6所述的确定推荐信息的方法，其中，在所述显示所述待推荐对象对应的信息编辑页面之后，所述确定推荐信息的方法还包括：
    获取针对所述待推荐对象的影像数据；
    根据所述影像数据、所述编辑文本信息和所述推荐信息，生成所述待推荐对象对应的推荐视频。
  8. 根据权利要求6或7所述的确定推荐信息的方法，其中，在所述显示所述待推荐对象对应的信息编辑页面之后，所述确定推荐信息的方法还包括：
    根据所述编辑文本信息和所述推荐信息，生成所述待推荐对象对应的讲解提示信息；
    若检测到所述待推荐对象为直播间讲解对象，则在直播间提示页面中展示所述待推荐对象对应的讲解提示信息。
  9. 根据权利要求6-8任一所述的确定推荐信息的方法，其中，在针对所述待推荐对象的至少一个对象特征信息的确定操作为首次操作的情况下，在所述显示所述待推荐对象对应的信息编辑页面之前，所述确定推荐信息的方法还包括：
    显示引导页面，其中，所述引导页面用于指示将所述推荐信息记录在所述信息编辑页面及所述信息编辑页面的应用方式。
  10. 根据权利要求1-9任一所述的确定推荐信息的方法，其中，所述多媒体信息包括第一视频，在所述显示所述待推荐对象对应的信息推荐页面之前，所述确定推荐信息的方法还包括：
    对所述第一视频中的文本和/或语音进行识别以得到识别结果；
    对所述识别结果进行语义分析，以确定所述待推荐对象的所述对象特征信息。
  11. 根据权利要求1-10任一所述的确定推荐信息的方法，其中，所述响 应于对象选择操作，确定待推荐对象，包括：
    显示所述待推荐对象的选择页面，其中，所述待推荐对象的选择页面显示有多个对象；
    在所述待推荐对象的选择页面，接收从多个所述对象中选择至少一个对象的选择操作；
    将所述选择操作对应的所述至少一个对象确定为所述待推荐对象。
  12. 根据权利要求1-11任一所述的确定推荐信息的方法，其中，所述预设条件包括预定参数大于预设阈值，所述预定参数包括：多媒体信息的完播率、评论数、点赞数和分享数中的至少一项。
  13. 一种确定推荐信息的装置，包括：
    第一确定模块，被配置为响应于对象选择操作，确定待推荐对象，以及，显示所述待推荐对象对应的信息推荐页面；其中，所述信息推荐页面包括所述待推荐对象的若干对象特征信息，所述待推荐对象的对象特征信息为根据所述待推荐对象对应的满足预设条件的多媒体信息所确定的；以及
    第二确定模块，被配置为响应于针对所述待推荐对象的至少一个对象特征信息的确定操作，将所述至少一个对象特征信息作为所述待推荐对象的推荐信息。
  14. 一种电子设备，包括：
    处理器；以及
    被配置为存储计算机可执行指令的存储器，其中，所述计算机可执行指令在被执行时使得所述处理器执行权利要求1-12中任一项所述的确定推荐信息的方法。
  15. 一种计算机可读介质，其中，所述计算机可读介质存储一个或多个程序，所述一个或多个程序当被包括至少一个应用程序的电子设备执行时，使得所述电子设备执行权利要求1-12中任一项所述的确定推荐信息的方法。
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