CN113377196A

CN113377196A - Data recommendation method and device, electronic equipment and readable storage medium

Info

Publication number: CN113377196A
Application number: CN202110623222.9A
Authority: CN
Inventors: 田真; 李斌; 欧华富; 王鼎禄
Original assignee: Beijing Sensetime Technology Development Co Ltd
Current assignee: Beijing Sensetime Technology Development Co Ltd
Priority date: 2021-06-04
Filing date: 2021-06-04
Publication date: 2021-09-10
Anticipated expiration: 2041-06-04
Also published as: CN113377196B

Abstract

The embodiment of the disclosure discloses a data recommendation method, which comprises the following steps: under the condition of displaying first virtual effect data, acquiring feedback information of the first virtual effect data; the first virtual effect data represents special effect data presented in a virtual scene; determining at least one recommended virtual effect data having an association relationship with the first virtual effect data based on the feedback information; and displaying the recommended virtual effect data based on the at least one piece of recommended virtual effect data under the condition of displaying the current virtual scene. The embodiment of the disclosure also discloses a data recommendation device, an electronic device and a computer readable storage medium.

Description

Data recommendation method and device, electronic equipment and readable storage medium

Technical Field

The present disclosure relates to the field of data processing technologies, and in particular, to a data recommendation method and apparatus, an electronic device, and a computer-readable storage medium.

Background

At present, in a scene for displaying a virtual effect, an electronic device can recommend the virtual effect used by a user before, and does not recommend the virtual effect according to the requirements of the user, so that the problem of an insufficient recommendation mode exists.

Disclosure of Invention

The embodiment of the disclosure provides a data recommendation method and device, electronic equipment and a storage medium.

The technical scheme of the embodiment of the disclosure is realized as follows:

the embodiment of the disclosure provides a data recommendation method, which includes:

under the condition of displaying first virtual effect data, acquiring feedback information of the first virtual effect data; the first virtual effect data represents special effect data presented in a virtual scene;

determining at least one recommended virtual effect data having an association relationship with the first virtual effect data based on the feedback information;

and displaying the recommended virtual effect data based on the at least one piece of recommended virtual effect data under the condition of displaying the current virtual scene.

In the above method, the feedback information includes at least one of:

evaluation information acting on the first virtual effect data;

operation information acting on the first virtual effect data.

In the above method, the feedback information includes the evaluation information;

the obtaining of the feedback information of the first virtual effect data under the condition of displaying the first virtual effect data includes:

displaying a prompt message through a display interface under the condition that the first virtual effect data is displayed on the display interface; the prompt message is used for prompting the interactive object to perform evaluation feedback on the first virtual effect data;

and receiving the evaluation information provided by the interactive object aiming at the prompt message.

In the above method, the evaluation information includes rating information, and/or comment information.

In the above method, the operation information includes at least one of:

the browsing times of the first virtual special effect data;

a browsing duration of the first virtual special effect data;

a number of uses of the first virtual special effect data.

In the above method, the determining, based on the feedback information, at least one piece of recommended virtual effect data having an association relationship with the first virtual effect data includes:

determining a preference degree reflecting the interactive object to the first virtual effect data based on the feedback information;

and if the preference degree is greater than a preset preference threshold value, acquiring at least one piece of recommended virtual effect data which is associated with the first virtual effect data.

In the above method, the obtaining at least one piece of recommended virtual effect data having an association relationship with the first virtual effect data includes:

determining the similarity between each virtual effect data in a preset virtual effect database and the first virtual effect data respectively;

and acquiring the virtual effect data with the similarity larger than a preset similarity threshold from the preset virtual effect database to obtain the at least one piece of recommended virtual effect data.

In the above method, the determining a similarity between each piece of virtual effect data in the preset virtual effect database and the first piece of virtual effect data includes:

determining a first set of objects associated with the first virtual effect data and a second set of objects associated with each virtual effect data in the preset virtual effect database; the first object set comprises objects with preference degrees to the first virtual effect data larger than the preset preference threshold; the second object set comprises objects with the preference degree of each virtual effect data larger than the preset preference threshold;

and obtaining the similarity between the first virtual effect data and each virtual effect data based on the similarity between the objects in the first object set and the objects in the second object set.

calculating the Euclidean distance between the first virtual effect data and each virtual effect data in the preset virtual effect database;

and obtaining the similarity between the first virtual effect data and each virtual effect data based on the Euclidean distance.

determining the similarity between the first virtual effect data and each virtual effect data in the preset virtual effect database through a similarity calculation model;

wherein the similarity calculation model is used for calculating the similarity between the virtual effect data.

In the above method, the presenting recommended virtual effect data based on the at least one piece of recommended virtual effect data includes:

and displaying the recommended virtual effect data with the highest similarity with the first virtual effect data in the at least one piece of recommended virtual effect data on a display interface.

displaying a recommendation icon on a display interface;

and responding to the touch operation aiming at the recommended icon, and displaying the corresponding preview information of the at least one piece of recommended virtual effect data.

and displaying preview information corresponding to the at least one piece of recommended virtual effect data on a display interface.

In the method, the order of the preview information corresponding to the at least one piece of recommended virtual effect data is determined based on the order of the similarity between the at least one piece of recommended virtual effect data and the first piece of virtual effect data.

In the above method, the first virtual effect data, and/or the recommended virtual effect data, may include at least one of:

virtual stickers, virtual animations, and virtual items.

In the method, the data recommendation method is applied to a client application platform, and the client application platform is a network Web end application platform or an applet end application platform.

The embodiment of the present disclosure provides a data recommendation device, including:

the device comprises an acquisition unit, a display unit and a processing unit, wherein the acquisition unit is used for acquiring feedback information of first virtual effect data under the condition of displaying the first virtual effect data; the first virtual effect data represents special effect data presented in a virtual scene;

a determining unit configured to determine, based on the feedback information, at least one recommended virtual effect data having an association relationship with the first virtual effect data;

and the display unit is used for displaying the recommended virtual effect data based on the at least one piece of recommended virtual effect data under the condition of displaying the current virtual scene.

An embodiment of the present disclosure provides an electronic device, including:

a memory for storing a computer program;

and the processor is used for realizing the data recommendation method when executing the computer program stored in the memory.

The embodiment of the disclosure provides a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the computer program implements the data recommendation method.

According to the data recommendation method, the data recommendation device, the electronic equipment and the computer-readable storage medium provided by the embodiment of the disclosure, firstly, feedback information of first virtual effect data is acquired under the condition that the first virtual effect data is displayed; further, based on the feedback information, determining at least one piece of recommended virtual effect data having an association relationship with the first virtual effect data; and finally, under the condition of displaying the current virtual scene, displaying the recommended virtual effect data based on the at least one piece of recommended virtual effect data. That is to say, the electronic device may recommend the virtual effect data for the interactive object according to the feedback of the interactive object for the first virtual effect data, so as to improve the intelligence of data recommendation.

Drawings

Fig. 1 is an alternative structural schematic diagram of an AR presentation system provided in an embodiment of the present disclosure;

fig. 2 is a first flowchart illustrating a data recommendation method according to an embodiment of the present disclosure;

fig. 3A is a first schematic diagram of a display interface according to an embodiment of the present disclosure;

fig. 3B is a schematic diagram of a display interface provided by the embodiment of the present disclosure;

FIG. 3C is a third schematic diagram of a display interface provided by an embodiment of the present disclosure;

fig. 4 is a flowchart illustrating a second data recommendation method according to an embodiment of the disclosure;

fig. 5A is a schematic diagram of a display effect provided by the embodiment of the disclosure

Fig. 5B is a second schematic diagram illustrating an effect of the display according to the embodiment of the disclosure;

fig. 6 is a schematic structural diagram of a data recommendation device according to an embodiment of the present disclosure;

fig. 7 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure.

Detailed Description

In order to make the objects, technical solutions and advantages of the present disclosure more clearly understood, the present disclosure is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the disclosure and are not intended to limit the disclosure.

Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used herein is for the purpose of describing embodiments of the invention only and is not intended to be limiting of the invention.

It should be noted that: the terms "first," "second," and the like in the description and claims of the present disclosure and in the above-described drawings are used for distinguishing between similar concepts and not necessarily for describing a sequential or chronological order. In addition, the references to "interactive object", "object", and "user" in the embodiments of the present disclosure are different expressions of the same concept. The technical solutions described in the embodiments of the present disclosure can be arbitrarily combined without conflict.

Augmented Reality (AR) technology is a technology for skillfully fusing virtual information and a real world, and a user (i.e., an interactive object or an object) can view a virtual effect superimposed in a real scene through AR equipment, such as a virtual tree superimposed on a real campus playground and a virtual flying bird superimposed in the sky. How to better show the virtual effect data to the user and improve the user experience is described below with reference to the following specific embodiments for the content to be discussed in the embodiments of the present disclosure.

The embodiment of the disclosure provides a data recommendation method and device, an electronic device and a computer-readable storage medium, which can improve the intelligence of data recommendation. The data recommendation method provided by the embodiment of the disclosure can be applied to electronic equipment. An exemplary application of the electronic device provided by the embodiments of the present disclosure is described below, and the electronic device provided by the embodiments of the present disclosure may be implemented as various types of terminals such as AR glasses, a notebook computer, a tablet computer, a desktop computer, a set-top box, a mobile device (e.g., a mobile phone, a portable music player, a personal digital assistant, a dedicated messaging device, a portable game device), and the like.

In some embodiments, the data recommendation method provided by the embodiments of the present disclosure may be specifically applied to a client application platform in an electronic device. The client application platform may be a network (Web) end application platform, an applet end application platform, or an independent application program.

Here, the Web-side application platform is an application platform that is accessible on a Web page. An applet-side application platform, also called a Web Program (Web Program), is a Program developed based on a front-end-oriented Language (e.g., Java Script) and implementing services in a hypertext Markup Language (HTML) page, and software downloaded by a client (e.g., a browser or any client embedded in a browser core) via a network (e.g., the internet) and interpreted and executed in a browser environment of the client, saving steps installed in the client. For example, an applet for implementing an AR scene may be downloaded, run in a social network client.

It can be understood that the electronic device may receive a request of an interactive object through the client application platform, interact with the server through the client service platform, obtain virtual effect data stored in the preset virtual effect database of the server, and display a virtual effect corresponding to the virtual effect data on a display interface of the electronic device.

In some embodiments, the data recommendation method provided by the embodiments of the present disclosure may also be applied to an application program of an electronic device. It can be understood that, the electronic device receives a request of the interactive object for certain virtual effect data through the application program, obtains the virtual effect data from a preset virtual effect database stored in a local storage space of the electronic device, and displays a virtual effect corresponding to the virtual effect data on a display interface of the electronic device.

In the scenario of displaying the virtual effect data, the electronic device obtains the virtual effect data in an interactive manner with the server, and the AR presentation system is described by taking the presentation of the AR effect as an example.

Referring to fig. 1, fig. 1 is an alternative architecture diagram of an AR presentation system 100 provided in the embodiment of the present disclosure, in order to support a client application platform, an electronic device 400 (an electronic device 400-1 and an electronic device 400-2 are exemplarily shown) is connected to a server 200 through a network 300, and the network 300 may be a wide area network or a local area network, or a combination of both.

The electronic device 400 may display preview information of a plurality of virtual effect data in the display interface 410 through the client application platform, and receive a request of an interactive object for a certain virtual effect data through the client application platform. In this way, the client application platform may transmit the request to the server 200 through the network 300, and the server 200 returns the virtual effect data requested by the interactive object to the electronic device 400 in response to the request. After receiving the virtual effect data, the electronic device 400 renders a virtual effect corresponding to the virtual effect data in the display interface 410; thus, the AR effect is presented in the electronic equipment.

In some embodiments, the server 200 may be an independent physical server, may also be a server cluster or a distributed system formed by a plurality of physical servers, and may also be a cloud server providing basic cloud computing services such as a cloud service, a cloud database, cloud computing, a cloud function, cloud storage, a network service, cloud communication, a middleware service, a domain name service, a security service, a CDN, and a big data and artificial intelligence platform. The display device 400 may be, but is not limited to, a smart phone, a tablet computer, a laptop computer, a desktop computer, a smart speaker, a smart watch, and the like. The display device and the server may be directly or indirectly connected through wired or wireless communication, and the embodiment of the disclosure is not limited.

In the following, the data recommendation method provided by the embodiment of the present disclosure will be described in conjunction with exemplary applications and implementations of the electronic device provided by the embodiment of the present disclosure.

An embodiment of the present disclosure provides a data recommendation method, as shown in fig. 2, the method includes:

s101, under the condition that the first virtual effect data are displayed, feedback information of the first virtual effect data is obtained; the first virtual effect data characterizes special effects data presented in the virtual scene.

In the embodiment of the disclosure, the electronic device may respond to the request of the interactive object, and display the first virtual effect data through a display interface of the electronic device. And, the electronic device may collect feedback information of the first virtual effect data when the first virtual effect data is presented.

The electronic equipment can receive a request of an interactive object through the client application platform, and acquire first virtual effect data of the interactive object request from the server through data interaction between the client application platform and the server. In addition, the electronic device may also receive a request of the interactive object through an application program preset in the electronic device, and obtain the first virtual effect data requested by the interactive object from the local storage space.

Therefore, after the electronic equipment acquires the first virtual effect data, the first virtual effect data can be displayed on the display interface.

In some embodiments, the first virtual effect data may be a virtual special effect exhibited in an AR scene constructed by the electronic device. In some embodiments, the first virtual effect data may include at least one of: virtual stickers, virtual animations, and virtual items.

The virtual sticker can be understood as virtual additional information added in a real scene image acquired by the electronic equipment. For example, referring to an exemplary presentation interface schematic shown in fig. 3A, the virtual sticker may be a virtual calendar 31 in an image of a real scene in a presentation interface of the electronic device 400.

The virtual animation may be a virtual object added to the real scene image and moving according to a preset motion. The virtual object may include a virtual character, a virtual plant, a virtual animal, and the like, which is not limited in this disclosure. For example, referring to an exemplary presentation interface schematic shown in FIG. 3B, the virtual animation may be a virtual interpreter 32 directing a navigation route in a map navigation-like application.

The virtual object can be an ornament of the device in the image of the real scene captured by the electronic equipment. For example, referring to an exemplary presentation interface schematic shown in fig. 3C, the virtual sticker may be virtual glasses 33 added for a portrait in an image of a real scene.

In the embodiment of the present disclosure, the feedback information may include at least one of:

evaluation information acting on the first virtual effect data;

operation information acting on the first virtual effect data.

In some embodiments, the evaluation information may also be referred to as explicit feedback information. The electronic equipment can guide the interactive object to evaluate the currently displayed first virtual effect data, and the explicit feedback information of the user is obtained through the evaluation information of the interactive object aiming at the first virtual effect data. Here, the interactive object may be a user currently interacting with the electronic device.

And S102, determining at least one piece of recommended virtual effect data having an association relation with the first virtual effect data based on the feedback information.

In the embodiment of the disclosure, the electronic device may determine, based on the feedback information, a preference degree of the interactive object for the first virtual effect data, so as to determine one or more recommended virtual effect data according to the preference degree. For example, if the preference degree of the interactive object to the first virtual effect data is high, the electronic device may determine virtual effect data similar to the first virtual effect data as recommended virtual effect data. If the preference degree of the interactive object to the first virtual effect data is low, the electronic device may reject the virtual effect data similar to the first virtual effect data to determine as recommended virtual effect data.

In an embodiment of the present disclosure, recommending virtual effect data includes at least one of:

virtual stickers, virtual animations, and virtual items.

The virtual sticker, the virtual animation, and the virtual article are the same as those described in the above embodiments, and are not described herein again.

S103, under the condition of displaying the current virtual scene, displaying the recommended virtual effect data based on at least one piece of recommended virtual effect data.

In the embodiment of the disclosure, the electronic device may respond to a request for displaying a virtual scene sent by the interactive object, and display the virtual scene in the current display interface. In this scenario, the electronic device may present the at least one piece of recommended virtual effect data determined in step S102 to the interactive object through a presentation interface.

For example, the electronic device may select some or all of the recommended virtual effect data from the determined at least one recommended virtual effect data to be presented. The electronic device may also display preview information of at least one piece of recommended virtual effect data in the current virtual scene, and the display mode of the recommended virtual effect data is not limited in the embodiment of the present disclosure.

It should be noted that the number of the first virtual effect data may include one or more. If the number of the first virtual effect data includes a plurality of data, the electronic device may obtain at least one piece of recommended virtual effect data corresponding to each piece of the first virtual effect data. In this way, the electronic device may present the recommended virtual effect data based on at least one recommended virtual effect data corresponding to the plurality of first virtual effect data.

Therefore, according to the data recommendation method provided by the embodiment of the disclosure, first, under the condition that the first virtual effect data is displayed, feedback information of the first virtual effect data is acquired; further, based on the feedback information, determining at least one piece of recommended virtual effect data having an association relationship with the first virtual effect data; and finally, under the condition of displaying the current virtual scene, displaying the recommended virtual effect data based on the at least one piece of recommended virtual effect data. That is to say, the electronic device may recommend the virtual effect data for the interactive object according to the feedback of the interactive object for the first virtual effect data, so as to improve the intelligence of data recommendation.

In some embodiments, in a scenario where the feedback information includes the evaluation information, in S101, in the case that the first virtual effect data is presented, obtaining the feedback information of the first virtual effect data may be implemented by:

s1011, displaying a prompt message through the display interface under the condition that the first virtual effect data is displayed on the display interface; the prompt message is used for prompting the interactive object to evaluate and feed back the first virtual effect data;

and S1012, receiving evaluation information provided by the interactive object aiming at the prompt message.

That is, when the electronic device displays the first virtual effect data on the display interface, a prompt message may pop up through the display interface, where the prompt message may be to remind the user to evaluate the first virtual effect data.

In some embodiments, the electronic device may display a prompt message through the presentation interface after the first virtual effect data has been displayed on the presentation interface for a preset duration. The electronic device may also display the prompt message through the display interface when receiving a switching instruction of the interactive object and switching the first virtual effect data to other virtual effect data. The time for displaying the prompt message is not limited in the embodiment of the present disclosure.

Then, after the electronic device displays the prompt message, the electronic device may receive evaluation information provided by the interactive object for the prompt message.

In the disclosed embodiment, the evaluation information may include rating information and/or comment information.

When the evaluation information includes the rating information, the electronic device may visually determine the preference degree of the interaction object for the first virtual effect data based on the rating information, that is, the higher the rating of the interaction object for the first virtual effect data is, the higher the preference degree of the representation interaction object for the first virtual effect data is.

In addition, when the evaluation information includes comment information, the electronic device may parse the comment information to determine a degree of preference of the mutual object for the first virtual effect data. For example, when words such as "satisfied", "very beautiful", etc. appear in the comment information, it may be determined that the preference degree of the interactive object for the first virtual effect data is higher; on the contrary, when words such as "dissatisfaction", "ugly", and the like appear in the comment information, it can be determined that the preference degree of the interactive object to the first virtual effect data is low.

Of course, the evaluation information may include rating information and comment information, and in this case, the electronic device may combine the rating information and the comment information to determine the preference degree of the interactive object for the first virtual effect data.

In this way, after receiving the evaluation information, the electronic device may determine, according to the evaluation information, a preference degree of the interactive object for the first virtual effect data, so as to recommend preferred virtual effect data for the interactive object.

In some embodiments, the operational information may also be referred to as implicit feedback information. The electronic equipment can acquire the operation information of the interactive object aiming at the first virtual effect data, and obtain the implicit feedback information of the user according to the evaluation information of the interactive object aiming at the first virtual effect data.

Wherein the operation information may include at least one of:

browsing times of the first virtual special effect data;

the browsing duration of the first virtual special effect data;

the number of uses of the first virtual special effect data.

That is, the electronic device may record operations of the interactive object on the browsing times, browsing duration, usage duration, and the like of the first virtual effect data, and determine the preference of the interactive object according to the recorded operation information. For example, the longer, the more times, or the more times the first virtual effect data is used by the interactive object, the more the interactive object browses the first virtual effect data, it may be determined that the interactive object prefers the first virtual effect data. Therefore, the electronic equipment can recommend the virtual effect data to the interactive object according to the preference of the interactive object, so that the recommended virtual effect data can meet the individual requirements of the interactive object, and the richness and the intelligence of data recommendation are improved.

In an embodiment of the present disclosure, referring to fig. 4, determining at least one recommended virtual effect data having an association relationship with the first virtual effect data based on the feedback information in S102 may be implemented by:

s1021, determining the preference degree of the interaction object to the first virtual effect data based on the feedback information;

s1022, if the preference degree is greater than the preset preference threshold, obtaining at least one recommended virtual effect data associated with the first virtual effect data.

It is to be understood that the electronic device may determine the preference degree of the interactive object for the first virtual effect data according to the rating information and/or the operation information of the interactive object acting on the first virtual effect data. Here, the manner of determining the preference degree of the first virtual effect data based on the evaluation information and/or the operation information may refer to the description in the foregoing embodiment, and details of the embodiment of the present disclosure are not repeated here.

In the embodiment of the present disclosure, after obtaining the like degree of the first virtual effect data, the electronic device may determine whether the interactive object likes the first virtual effect data according to the like degree. And if the preference degree is greater than a preset preference threshold value, determining that the interactive object likes the first virtual effect data. And if the preference degree is less than the preset preference threshold, determining that the interactive object does not like the first virtual effect data.

The preset preference threshold may be a preset parameter value, and the preset preference threshold may be 80% or 90%, which is not limited in this disclosure.

Here, after determining that the interactive object likes the first virtual effect data, the electronic device may search a virtual effect database having an association relationship with the first virtual effect data from a preset virtual effect database to obtain at least one recommended virtual effect database.

In an embodiment of the present disclosure, the obtaining of the at least one piece of recommended virtual effect data having an association relationship with the first virtual effect data in S1022 may be implemented by:

s1022a, determining similarity between each piece of virtual effect data in the preset virtual effect database and the first piece of virtual effect data;

s1022b, obtaining the virtual effect data with the similarity greater than the preset similarity threshold from the preset virtual effect database, and obtaining at least one piece of recommended virtual effect data.

In some embodiments, the preset virtual effects database may be stored in a local storage space of the electronic device. The electronic device may calculate, through local computing resources, a similarity between the first virtual effect data and each virtual effect data in the preset virtual effect database, so as to obtain a similarity between each virtual effect data and the first virtual effect data.

In other embodiments, the preset virtual effects database may be stored in a server. The electronic device may send the identification information of the first virtual effect data to the server through the client application platform, and after receiving the identification information of the first virtual effect data, the server may determine the first virtual effect data according to the first identification information. Further, the server may calculate a similarity between the first virtual effect data and each virtual effect data in the preset virtual effect database. In this way, the server may transmit the similarity between the first virtual effect data and each virtual effect data to the electronic device.

In the embodiment of the disclosure, after determining the similarity between each piece of virtual effect data in the preset virtual effect database and the first piece of virtual effect data, the electronic device may select, from the preset virtual effect database, the piece of virtual effect data whose similarity satisfies the preset similarity threshold, that is, the piece of virtual effect data with high similarity to the first piece of virtual effect data, so as to obtain at least one piece of recommended virtual effect data.

Therefore, the data recommendation method provided by the embodiment of the disclosure can provide the interactive object with the virtual effect data with high similarity to the favorite virtual effect data, so that the recommended virtual effect data better conforms to the use habit of the interactive object, and the richness and intelligence of data recommendation and the human-computer interaction performance are improved.

In the embodiment of the present disclosure, there are many methods for calculating the similarity between the first virtual effect data and each of the preset virtual effect databases, and three methods are described below.

In a first way,

In some embodiments, the determining of the similarity between each virtual effect data in the preset virtual effect database and the first virtual effect data in S1022a may be implemented by:

determining a first object set associated with the first virtual effect data and a second object set associated with each virtual effect data in a preset virtual effect database; the first object set comprises objects with preference degrees to the first virtual effect data larger than a preset preference threshold; the second object set comprises objects with the preference degree of each virtual effect data larger than a preset preference threshold;

In the disclosed embodiment, the electronic device may determine a set of objects that like the first virtual effect data (i.e., a first set of objects) and a set of objects that like each virtual effect data in the preset virtual effect database (i.e., a second set of objects). The electronic device may calculate a similarity between the object in the first set of objects and the object in each second set of objects to obtain a similarity between the first virtual effect data and each virtual effect data in the preset virtual effect database.

In short, the virtual effect data a and the virtual effect data B have a great similarity because the object of the virtual effect data a is liked, and the virtual effect data B is also liked for the most part.

Based on this, the data recommendation method provided by the embodiment of the disclosure can provide the interactive object with the virtual effect data with high similarity to the favorite virtual effect data, so that the recommended virtual effect data better conforms to the use habit of the interactive object, and the richness and intelligence of data recommendation and the human-computer interaction performance are improved.

The second way,

calculating the Euclidean distance between the first virtual effect data and each virtual effect data in a preset virtual effect database;

In the embodiment of the disclosure, the electronic device may directly calculate the euclidean distance between the first virtual effect data and each virtual effect data in the preset virtual effect database, and determine the similarity between the first virtual effect data and each virtual effect data according to the euclidean distance. The larger the euclidean distance is, the lower the similarity between two virtual effect data is, whereas the smaller the euclidean distance is, the higher the similarity between the two is.

That is, the electronic device may directly calculate a physical distance between the two pieces of virtual effect data, and determine a similarity between the two pieces of virtual effect data, where the similarity may represent a content similarity between the two pieces of virtual effect data.

Based on this, the data recommendation method provided by the embodiment of the disclosure can provide the interactive object with the virtual effect data with high similarity to the favorite virtual effect data content, so that the recommended virtual effect data better conforms to the use habit of the interactive object, and the richness and intelligence of data recommendation and the human-computer interaction performance are improved.

The third method,

determining the similarity between the first virtual effect data and each virtual effect data in a preset virtual effect database through a similarity calculation model;

In the embodiment of the present disclosure, the electronic device may acquire the similarity calculation model constructed by the machine learning technique in advance. The similarity calculation model may be obtained by pre-training the electronic device, or may be obtained by the electronic device from a third-party server, which is not limited in this disclosure.

In some embodiments, the electronic device may train the similarity calculation model according to a large number of virtual effect data samples and the similarity between every two virtual effect data samples, so as to obtain the trained similarity calculation model. In this way, the electronic device may input each piece of virtual effect data in the preset virtual effect database and the first piece of virtual effect data into the trained similarity calculation model, and after performing calculation processing through the similarity calculation model, the output result is the similarity between the first piece of virtual effect data and each piece of virtual effect data.

In other embodiments, the electronic device may train the similarity calculation model according to a large number of virtual effect data samples, an object set sample corresponding to each virtual effect data sample, and a similarity between every two virtual effect data samples, so as to obtain the trained similarity calculation model. In this way, the electronic device may input each virtual effect data in the preset virtual effect database and the second object set corresponding to each virtual effect data into the trained similarity calculation model, and after performing calculation processing through the similarity calculation model, the output result is the similarity between the first virtual effect data and each virtual effect data.

That is, the similarity calculation model may integrate the similarity of contents between the virtual effect data and the similarity of the objects to determine the similarity between the two virtual effect data. Therefore, the similarity between the virtual effect data can be determined more accurately, and the accuracy of data recommendation is improved.

In summary, the data recommendation method provided by the embodiment of the present disclosure can provide the interactive object with the virtual effect data with high similarity to the favorite virtual effect data content, so that the recommended virtual effect data better conforms to the usage habit of the interactive object, and the richness and intelligence of data recommendation and the human-computer interaction performance are improved.

In an embodiment of the present disclosure, in S103, based on at least one piece of recommended virtual effect data, displaying the recommended virtual effect data may be implemented in the following manner:

In the embodiment of the disclosure, after determining at least one piece of recommended virtual effect data, the electronic device may directly display one piece of the at least one piece of recommended virtual effect data on a display interface when entering a current virtual scene display. The recommended virtual effect data displayed in the display interface can be recommended virtual effect data with the highest similarity to the first virtual effect data in the at least one piece of recommended virtual effect data, so that the intelligence of data recommendation and the human-computer interaction performance are improved, and the user experience of the interaction object is improved.

In an embodiment of the present disclosure, in S103, based on at least one piece of recommended virtual effect data, displaying the recommended virtual effect data may be implemented by the following steps: displaying a recommendation icon on a display interface; and responding to the touch operation aiming at the recommendation icon, and displaying corresponding preview information of at least one piece of recommendation virtual effect data.

In the embodiment of the disclosure, when the electronic device enters the current virtual scene display, a recommendation icon can be displayed in the display interface.

For example, the recommendation icon may be an icon displaying a font of "recommendation list", or an icon displaying a font of "dot here", and the type of the recommendation icon is not limited here in the embodiments of the present disclosure.

In some embodiments, the recommendation icon may be located at a position that does not occlude the current virtual scene. For example, referring to fig. 5A, the recommendation icon 51 may be disposed on the left side or the right side of the presentation interface in the electronic device 400, which is not limited in the embodiment of the present disclosure.

Based on the above, the interactive object can operate the recommended icon, so that the electronic device can display the recommended virtual effect data.

In the embodiment of the present disclosure, after the electronic device detects that the interactive object performs a touch operation on the recommended icon, a dialog box may be displayed, and preview information of at least one piece of recommended virtual effect data determined in S103 is displayed. Referring to fig. 5B, after the interactive object clicks the recommendation list icon 51 in fig. 5A, the presentation interface may present at least one virtual effect data in an area 52 of the presentation interface.

The preview information may be description information for briefly describing the recommended virtual effect data, or the preview information may be reduced presentation information of the multi-virtual recommended effect data. The embodiment of the present disclosure does not limit the type of the preview information.

In this embodiment of the disclosure, the arrangement order of the preview information of the at least one piece of recommended virtual effect data displayed on the display interface may be determined according to the order of the similarity between the at least one piece of recommended virtual effect data and the first virtual effect data.

That is, the higher the similarity of the recommended virtual effect data to the first virtual effect data is, the more forward the presentation position of the recommended virtual effect data in the presentation interface is, i.e., the position at which the interactive object is easily noticed. Conversely, the lower the similarity between the recommended virtual effect data and the first virtual effect data is, the later the presentation position of the recommended virtual effect data in the presentation interface is, i.e., the position at which the interactive object is not easily noticed. Therefore, the interactive object can select the virtual effect data which accords with the use habit of the interactive object, so that the intelligence of data recommendation and the man-machine interaction performance are further improved, and the user experience of the interactive object is improved.

In an embodiment of the present disclosure, in S103, based on at least one piece of recommended virtual effect data, displaying the recommended virtual effect data may be implemented by the following steps:

It is understood that, in the case of performing the current virtual scene presentation, the electronic device may directly present the preview information of the at least one recommended virtual effect data determined in S102 in the presentation interface.

In the embodiment of the present disclosure, an arrangement order of preview information corresponding to at least one piece of recommended virtual effect data is determined based on a magnitude order of similarity between the at least one piece of recommended virtual effect data and the first piece of virtual effect data.

That is, the higher the similarity of the recommended virtual effect data to the first virtual effect data is, the more forward the presentation position of the recommended virtual effect data in the presentation interface is, i.e., the position at which the interactive object is easily noticed. Conversely, the lower the similarity between the recommended virtual effect data and the first virtual effect data is, the later the presentation position of the recommended virtual effect data in the presentation interface is, i.e., the position at which the interactive object is not easily noticed.

For example, referring to fig. 5B, the electronic device may display preview information of at least one piece of recommended virtual effect data in a lower area 52 of a currently displayed virtual scene, so that the interactive object may select virtual effect data that meets usage habits of the interactive object, thereby improving intelligence of data recommendation and human-computer interaction performance, and improving user experience of the interactive object.

Fig. 6 is a schematic structural composition diagram of a data recommendation device according to an embodiment of the present disclosure, as shown in fig. 6, the data recommendation device includes:

an obtaining unit 61, configured to obtain feedback information of first virtual effect data when the first virtual effect data is displayed; the first virtual effect data represents special effect data presented in a virtual scene;

a determining unit 62, configured to determine, based on the feedback information, at least one recommended virtual effect data having an association relationship with the first virtual effect data;

a display unit 63, configured to display the recommended virtual effect data based on the at least one piece of recommended virtual effect data when the current virtual scene is displayed.

In some embodiments, the feedback information comprises at least one of:

evaluation information acting on the first virtual effect data;

operation information acting on the first virtual effect data.

In some embodiments, the feedback information comprises the rating information; the obtaining unit 61 is configured to display a prompt message through a display interface when the first virtual effect data is displayed on the display interface; the prompt message is used for prompting the interactive object to perform evaluation feedback on the first virtual effect data; and receiving the evaluation information provided by the interactive object aiming at the prompt message.

In some embodiments, the rating information includes rating information, and/or review information.

In some embodiments, the operational information comprises at least one of:

the browsing times of the first virtual special effect data;

a browsing duration of the first virtual special effect data;

a number of uses of the first virtual special effect data.

In some embodiments, the determining unit 62 is specifically configured to determine, based on the feedback information, a degree of preference of the interactive object for reflecting the first virtual effect data; and if the preference degree is greater than a preset preference threshold value, acquiring at least one piece of recommended virtual effect data which is associated with the first virtual effect data.

In some embodiments, the determining unit 62 is specifically configured to determine a similarity between each piece of virtual effect data in the preset virtual effect database and the first piece of virtual effect data; and acquiring the virtual effect data with the similarity larger than a preset similarity threshold from the preset virtual effect database to obtain the at least one piece of recommended virtual effect data.

In some embodiments, the determining unit 62 is specifically configured to determine a first object set associated with the first virtual effect data, and a second object set associated with each virtual effect data in the preset virtual effect database; the first object set comprises objects with preference degrees to the first virtual effect data larger than the preset preference threshold; the second object set comprises objects with the preference degree of each virtual effect data larger than the preset preference threshold; and obtaining the similarity between the first virtual effect data and each virtual effect data based on the similarity between the objects in the first object set and the objects in the second object set.

In some embodiments, the determining unit 62 is specifically configured to calculate a euclidean distance between the first virtual effect data and each virtual effect data in the preset virtual effect database; and obtaining the similarity between the first virtual effect data and each virtual effect data based on the Euclidean distance.

In some embodiments, the determining unit 62 is specifically configured to determine, through a similarity calculation model, a similarity between the first virtual effect data and each virtual effect data in the preset virtual effect database;

In some embodiments, the presentation unit 63 is specifically configured to present, on a presentation interface, recommended virtual effect data with a highest similarity to the first virtual effect data in the at least one recommended virtual effect data.

In some embodiments, the presentation unit 63, in particular in the presentation interface, presents the recommendation icon; and responding to the touch operation aiming at the recommended icon, and displaying the corresponding preview information of the at least one piece of recommended virtual effect data.

In some embodiments, the presentation unit 63, particularly in the presentation interface, presents the preview information corresponding to the at least one piece of recommended virtual effect data.

In some embodiments, the order of arrangement of the preview information corresponding to the at least one recommended virtual effect data is determined based on the order of magnitude of similarity between the at least one recommended virtual effect data and the first virtual effect data.

In some embodiments, the first virtual effect data, and/or the recommended virtual effect data, comprises at least one of:

virtual stickers, virtual animations, and virtual items.

Accordingly, an electronic device according to an embodiment of the present disclosure is provided, and fig. 7 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure, as shown in fig. 7, including a memory 701, a processor 702, and a computer program stored in the memory 701 and executable on the processor 702; the processor 702 is configured to execute the data recommendation method in the foregoing embodiments when running the computer program.

It is understood that the electronic device further comprises a bus system 703; the various components in the electronic device are coupled together by a bus system 703. It is understood that the bus system 703 is used to enable communications among the components. The bus system 703 includes a power bus, a control bus, and a status signal bus in addition to the data bus.

The Memory 701 is configured to store computer programs and applications executed by the processor 702, and may also cache the processor 702, and may be implemented by a FLASH Memory (FLASH) or a Random Access Memory (RAM).

The processor 702 executes the program to implement the steps of the data recommendation method provided by any one of the above embodiments.

The present disclosure provides a computer storage medium storing one or more programs, which are executable by one or more processors to implement the steps of the data recommendation method of any of the above embodiments.

Here, it should be noted that: the above description of the storage medium and device embodiments is similar to the description of the method embodiments above, with similar advantageous effects as the method embodiments. For technical details not disclosed in the embodiments of the storage medium and apparatus of the present disclosure, reference is made to the description of the embodiments of the method of the present disclosure.

The Processor may be at least one of an Application Specific Integrated Circuit (ASIC), a Digital Signal Processor (DSP), a Digital Signal Processing Device (DSPD), a Programmable Logic Device (PLD), a Field Programmable Gate Array (FPGA), a Central Processing Unit (CPU), a controller, a microcontroller, and a microprocessor. It is understood that the electronic device implementing the above processor function may be other, and the embodiments of the present disclosure are not particularly limited.

The computer storage medium/Memory may be a Read Only Memory (ROM), a Programmable Read Only Memory (PROM), an Erasable Programmable Read Only Memory (EPROM), an Electrically Erasable Programmable Read Only Memory (EEPROM), a magnetic Random Access Memory (FRAM), a Flash Memory (Flash Memory), a magnetic surface Memory, an optical Disc, or a Compact Disc Read-Only Memory (CD-ROM), and the like; but may also be various terminals such as mobile phones, computers, tablet devices, personal digital assistants, etc., that include one or any combination of the above-mentioned memories.

It should be appreciated that reference throughout this specification to "one embodiment" or "an embodiment of the present disclosure" or "a previous embodiment" or "some embodiments" means that a target feature, structure or characteristic described in connection with the embodiment is included in at least one embodiment of the present disclosure. Thus, the appearances of the phrases "in one embodiment" or "in an embodiment" or "the disclosed embodiment" or "the foregoing embodiments" or "some embodiments" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the described features, structures, or characteristics of the objects may be combined in any suitable manner in one or more embodiments. It should be understood that, in various embodiments of the present disclosure, the sequence numbers of the above-mentioned processes do not mean the execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the present disclosure. The above-mentioned serial numbers of the embodiments of the present disclosure are merely for description and do not represent the merits of the embodiments.

Without being specifically described, the detection device performs any step in the embodiments of the present disclosure, and the processor of the detection device may perform the step. Unless otherwise specified, the disclosed embodiments do not limit the order in which the detection device performs the following steps. In addition, the data may be processed in the same way or in different ways in different embodiments. It should be further noted that any step in the embodiments of the present disclosure may be executed independently by the detection device, that is, when the detection device executes any step in the above embodiments, the detection device may not depend on the execution of other steps.

In the several embodiments provided in the present disclosure, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described device embodiments are merely illustrative, for example, the division of the unit is only a logical functional division, and there may be other division ways in actual implementation, such as: multiple units or components may be combined, or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the coupling, direct coupling or communication connection between the components shown or discussed may be through some interfaces, and the indirect coupling or communication connection between the devices or units may be electrical, mechanical or other forms.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units; can be located in one place or distributed on a plurality of network units; some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, all the functional units in the embodiments of the present disclosure may be integrated into one processing unit, or each unit may be separately regarded as one unit, or two or more units may be integrated into one unit; the integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.

The methods disclosed in the several method embodiments provided in this disclosure may be combined arbitrarily without conflict to arrive at new method embodiments.

Features disclosed in several of the product embodiments provided in this disclosure may be combined in any combination to yield new product embodiments without conflict.

The features disclosed in the several method or apparatus embodiments provided in this disclosure may be combined in any combination to arrive at a new method or apparatus embodiment without conflict.

Those of ordinary skill in the art will understand that: all or part of the steps for realizing the method embodiments can be completed by hardware related to program instructions, the program can be stored in a computer readable storage medium, and the program executes the steps comprising the method embodiments when executed; and the aforementioned storage medium includes: various media that can store program codes, such as a removable Memory device, a Read Only Memory (ROM), a magnetic disk, or an optical disk.

Alternatively, the integrated unit of the present disclosure may be stored in a computer-readable storage medium if it is implemented in the form of a software functional module and sold or used as a separate product. Based on such understanding, the technical solutions of the embodiments of the present disclosure may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a detection device, or a network device) to execute all or part of the methods described in the embodiments of the present disclosure. And the aforementioned storage medium includes: a removable storage device, a ROM, a magnetic or optical disk, or other various media that can store program code.

In the embodiments of the present disclosure, the descriptions of the same steps and the same contents in different embodiments may be mutually referred to. In the embodiments of the present disclosure, the term "not" does not affect the order of the steps.

The above description is only an embodiment of the present disclosure, but the scope of the present disclosure is not limited thereto, and any person skilled in the art can easily conceive of changes or substitutions within the technical scope of the present disclosure, and all the changes or substitutions should be covered by the scope of the present disclosure. Therefore, the protection scope of the present disclosure shall be subject to the protection scope of the claims.

Claims

1. A method for recommending data, comprising:

2. The method of claim 1, wherein the feedback information comprises at least one of:

evaluation information acting on the first virtual effect data;

operation information acting on the first virtual effect data.

3. The method of claim 2, wherein the feedback information comprises the rating information;

4. The method of claim 2, wherein the rating information comprises rating information, and/or review information.

5. The method of claim 2, wherein the operational information comprises at least one of:

the browsing times of the first virtual special effect data;

a browsing duration of the first virtual special effect data;

a number of uses of the first virtual special effect data.

6. The method according to any one of claims 1 to 5, wherein the determining at least one recommended virtual effect data having an association relationship with the first virtual effect data based on the feedback information comprises:

7. The method according to claim 6, wherein said obtaining at least one recommended virtual effect data having an association relation with the first virtual effect data comprises:

8. The method according to claim 7, wherein the determining a similarity between each of the virtual effect data in the preset virtual effect database and the first virtual effect data comprises:

9. The method according to claim 7, wherein the determining a similarity between each of the virtual effect data in the preset virtual effect database and the first virtual effect data comprises:

10. The method according to claim 7, wherein the determining a similarity between each of the virtual effect data in the preset virtual effect database and the first virtual effect data comprises:

11. The method according to any of claims 1-5, wherein said presenting recommended virtual effects data based on said at least one recommended virtual effects data comprises:

12. The method of claim 1, wherein presenting the recommended virtual effect data based on the at least one recommended virtual effect data comprises:

displaying a recommendation icon on a display interface;

13. The method of claim 1, wherein presenting the recommended virtual effect data based on the at least one recommended virtual effect data comprises:

14. The method according to claim 12 or 13, wherein an order of arrangement of the preview information corresponding to the at least one recommended virtual effect data is determined based on an order of magnitude of similarity between the at least one recommended virtual effect data and the first virtual effect data.

15. The method according to any of claims 1-5, wherein the first virtual effect data, and/or the recommended virtual effect data, comprises at least one of:

virtual stickers, virtual animations, and virtual items.

16. The method according to any one of claims 1 to 5, wherein the method is applied to a client application platform, and the client application platform is a Web-side application platform or an applet-side application platform.

17. A data recommendation device, comprising:

18. An electronic device, comprising:

a memory for storing an executable computer program;

a processor for implementing the method of any one of claims 1 to 16 when executing an executable computer program stored in the memory.

19. A computer-readable storage medium, having stored thereon a computer program for causing a processor, when executed, to carry out the method of any one of claims 1 to 16.