CN113377196B

CN113377196B - Data recommendation method and device, electronic equipment and readable storage medium

Info

Publication number: CN113377196B
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: 2023-07-04
Anticipated expiration: 2041-06-04
Also published as: CN113377196A

Abstract

The embodiment of the disclosure discloses a data recommendation method, which comprises the following steps: acquiring feedback information of first virtual effect data under the condition of displaying the first virtual effect data; the first virtual effect data characterizes 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 under the condition of carrying out the current virtual scene display, displaying the recommended virtual effect data based on the at least one recommended virtual effect data. The embodiment of the disclosure simultaneously discloses a data recommendation device, electronic equipment and a computer readable storage medium.

Description

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

Technical Field

The disclosure relates to the technical field of data processing, and in particular relates to a data recommendation method, a data recommendation device, electronic equipment and a computer readable storage medium.

Background

At present, in a scene of displaying a virtual effect, an electronic device can recommend the virtual effect used before by a user, the virtual effect is not recommended according to the requirement of the user, and the problem of not abundant recommendation modes exists.

Disclosure of Invention

The embodiment of the disclosure provides a data recommendation method, a data recommendation 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 comprises the following steps:

acquiring feedback information of first virtual effect data under the condition of displaying the first virtual effect data; the first virtual effect data characterizes 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 under the condition of carrying out the current virtual scene display, displaying the recommended virtual effect data based on the at least one recommended virtual effect data.

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;

under the condition of displaying the first virtual effect data, acquiring feedback information of the first virtual effect data comprises the following steps:

Displaying a prompt message through a display interface under the condition that the display interface displays the first virtual effect data; the prompting message is used for prompting an interaction object to evaluate and feed back the first virtual effect data;

and receiving the evaluation information provided by the interaction object for the prompt message.

In the above method, the rating 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;

the browsing duration of the first virtual special effect data;

and the number of times of using the first virtual special effect data.

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

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

and if the preference degree is greater than a preset preference threshold value, acquiring at least one recommended virtual effect data with an association relationship with the first virtual effect data.

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

Determining the similarity between each piece of virtual effect data in a preset virtual effect database and the first virtual effect data;

and obtaining virtual effect data with similarity larger than a preset similarity threshold value from the preset virtual effect database, and obtaining the at least one recommended virtual effect data.

In the above method, the determining the 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 of the first virtual effect data being greater than the preset preference threshold value; the second object set comprises objects with preference degree of each piece of virtual effect data being larger than the preset preference threshold value;

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

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

In the above method, the displaying recommended virtual effect data based on the at least one 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 recommended virtual effect data on a display interface.

displaying a recommendation icon on a display interface;

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

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

In the above method, the arrangement order of the preview information corresponding to the at least one recommended virtual effect data is determined based on the order of the magnitudes of the similarities of the at least one recommended virtual effect data and the first virtual effect data.

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

virtual stickers, virtual animations, and virtual objects.

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

The embodiment of the disclosure provides a data recommendation device, which comprises:

the device comprises an acquisition unit, a processing 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 characterizes special effect data presented in a virtual scene;

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

and the display unit is used for displaying the recommended virtual effect data based on the at least one 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 storing a computer program for implementing the data recommendation method when being executed by a processor.

The data recommendation method, device, electronic equipment and computer readable storage medium provided by the embodiment of the disclosure firstly acquire feedback information of first virtual effect data under the condition of displaying the first virtual effect data; further, at least one recommended virtual effect data having an association relationship with the first virtual effect data is determined based on the feedback information; finally, under the condition of carrying out the current virtual scene display, displaying the recommended virtual effect data based on the at least one recommended virtual effect data. That is, the electronic device may recommend virtual effect data for the interactive object according to feedback of the interactive object for the first virtual effect data, thereby improving intelligence of data recommendation.

Drawings

FIG. 1 is a schematic diagram of an alternative architecture of an AR rendering system provided by embodiments of the present disclosure;

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

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

FIG. 3B is a second schematic diagram of a display interface according to an embodiment of the disclosure;

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

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

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

Fig. 5B is a schematic diagram two of a display effect provided by an embodiment of the disclosure;

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

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

Detailed Description

In order to make the objects, technical solutions and advantages of the present disclosure more apparent, the present disclosure will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present 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 in the claims of the present disclosure and in the above-described figures, are used for distinguishing between similar concepts and not necessarily for describing a sequential or chronological order of the objects. In addition, references to "interactive objects", "users" in embodiments of the present disclosure are different expressions of the same concept. In addition, the embodiments of the present disclosure may be arbitrarily combined without any collision.

Augmented reality (Augmented Reality, AR) technology is a technology that integrates virtual information with the real world ingeniously, and a user (i.e., an interactive object or object) can view virtual effects superimposed in a real scene, such as a virtual big tree superimposed on a real campus playground, and a virtual flying bird superimposed in the sky, through an AR device. How to better present virtual effect data to users, and improve user experience, and what is discussed in connection with the embodiments of the present disclosure will be described in connection with the following specific embodiments.

The embodiment of the disclosure provides a data recommendation method, a data recommendation device, electronic equipment 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, and a portable game device).

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 can be a network (Web) application platform or an applet application platform or an independent application program.

Here, the Web-side application platform is an application platform that can be accessed on a Web page. Applet-side application platforms, also known as Web programs (Web programs), are programs developed based on a front-end oriented language (e.g., java Script) that implement services in hypertext markup language (HTML, hyper Text Markup Language) pages, software that is downloaded by a client (e.g., a browser or any client with an embedded browser core) via a network (e.g., the internet) and interpreted and executed in the browser environment of the client, saving steps installed in the client. For example, an applet for implementing an AR scene may be downloaded and 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 a 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, through the application program, a request of the interactive object for a certain virtual effect data, 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 following, in combination with a scenario in which virtual effect data is displayed, an electronic device acquires the virtual effect data by interacting with a server, and an AR presentation system is described by taking an AR effect presentation as an example.

Referring to fig. 1, fig. 1 is a schematic diagram of an alternative architecture of an AR presentation system 100 according to an embodiment of the present disclosure, in order to support a client application platform, an electronic device 400 (electronic device 400-1 and electronic device 400-2 are shown as an example) is connected to a server 200 through a network 300, where 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 send the request to the server 200 over the network 300, and the server 200 returns virtual effect data of the interactive object request 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; in this way, rendering AR effects in an electronic device is achieved.

In some embodiments, the server 200 may be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, or a cloud server that provides cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, CDNs, and basic cloud computing services such as big data and artificial intelligence platforms. The display device 400 may be, but is not limited to, a smart phone, tablet, notebook, desktop, smart box, smart watch, etc. The display device and the server may be directly or indirectly connected through wired or wireless communication, which is not limited in the embodiments of the present disclosure.

In the following, the data recommendation method provided by the embodiment of the present disclosure will be described in connection 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, including:

s101, under the condition of displaying first virtual effect data, acquiring feedback information of the first virtual effect data; the first virtual effect data characterizes effect 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 the display interface of the electronic device. And, the electronic device may collect feedback information of the first virtual effect data under the condition that the first virtual effect data is displayed.

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

Thus, after the electronic device obtains 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 objects.

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

The virtual animation can be a virtual object added in the real scene image and moving according to a preset action. The virtual objects may include virtual characters, virtual plants, virtual animals, etc., which are not limited by the embodiments of the present disclosure. For example, referring to an exemplary presentation interface diagram shown in FIG. 3B, the virtual animation may be a virtual instructor 32 directing navigation routes in a map navigation-like application.

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

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

S102, determining at least one recommended virtual effect data with 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 on the first virtual effect data is higher, the electronic device may determine that the virtual effect data similar to the first virtual effect data is the recommended virtual effect data. If the preference degree of the interactive object to the first virtual effect data is low, the electronic device may refuse to determine the virtual effect data similar to the first virtual effect data 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 objects.

The virtual decal, the virtual animation and the virtual article are the same as those described in the above embodiments, and will not be repeated here.

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

In the embodiment of the disclosure, the electronic device may respond to a request for virtual scene display 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 recommended virtual effect data determined in step S102 to the interactive object through the presentation interface.

For example, the electronic device may select a part 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 further display preview information of at least one recommended virtual effect data in the current virtual scene, and the display manner 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 pieces, the electronic device may acquire at least one 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, in the data recommendation method provided by the embodiment of the present disclosure, first, under the condition of displaying the first virtual effect data, feedback information of the first virtual effect data is obtained; further, at least one recommended virtual effect data having an association relationship with the first virtual effect data is determined based on the feedback information; finally, under the condition of carrying out the current virtual scene display, displaying the recommended virtual effect data based on the at least one recommended virtual effect data. That is, the electronic device may recommend virtual effect data for the interactive object according to feedback of the interactive object for the first virtual effect data, thereby improving intelligence of data recommendation.

In some embodiments, in the scenario where the feedback information includes the evaluation information, in S101, when the first virtual effect data is displayed, the obtaining of the feedback information of the first virtual effect data may be achieved by:

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

s1012, receiving evaluation information provided by the interaction 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 be popped up through the display interface, where the prompt message may be to prompt the user to evaluate the first virtual effect data.

In some embodiments, the electronic device may display the alert message through the presentation interface after the first virtual effect data has been displayed on the presentation interface for a preset period of time. 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 embodiment of the disclosure does not limit the time for displaying the prompt message.

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

In embodiments of the present disclosure, the rating information may include rating information, and/or comment information.

When the evaluation information includes the scoring information, the electronic device may intuitively determine, based on the scoring information, a preference degree of the interaction object for the first virtual effect data, that is, the higher the score of the interaction object for the first virtual effect data is, the higher the preference degree of the interaction object for the first virtual effect data is represented.

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

Of course, the rating information may include rating information and comment information, and at this time, the electronic device may integrate the rating information and the comment information to determine a preference degree of the interactive object for the first virtual effect data.

Thus, after the electronic device receives the evaluation information, the preference degree of the interactive object for the first virtual effect data can be determined according to the evaluation information, so that the preferred virtual effect data of the interactive object is recommended for the interactive object.

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

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 with respect to the browsing times, the browsing time periods, the using time periods, and the like of the first virtual effect data, and determine preference of the interactive object according to the recorded operation information. For example, the longer the interactive object browses the first virtual effect data, the more times, or the more times the first virtual effect data is used, the more the interactive object favors the first virtual effect data may be determined. In this way, the electronic equipment can recommend virtual effect data for the interactive object according to the preference of the interactive object, so that the recommended virtual effect data can meet the personalized requirement 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 and reflecting the preference degree of the interactive object to the first virtual effect data based on the feedback information;

and S1022, if the preference degree is greater than the preset preference threshold, acquiring at least one recommended virtual effect data with an association relationship with the first virtual effect data.

It may be appreciated that the electronic device may determine a preference of the interactive object for the first virtual effect data according to the evaluation information and/or the operation information of the interactive object for the first virtual effect data. 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 above embodiment, and the embodiments of the present disclosure are not repeated herein.

In the embodiment of the disclosure, after obtaining the preference 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 preference degree. And if the preference degree is greater than the preset preference threshold, determining that the interactive object likes the first virtual effect data. And if the preference degree is smaller than the preset preference threshold value, 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 the embodiment of the present 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 the preset virtual effect database to obtain at least one recommended virtual effect database.

In an embodiment of the present disclosure, the obtaining at least one 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;

and S1022b, obtaining virtual effect data with similarity greater than a preset similarity threshold value from a preset virtual effect database, and obtaining at least one recommended virtual effect data.

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

In other embodiments, the preset virtual effect 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 the server receives 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 of the virtual effect data in the preset virtual effect database. In this way, the server may send 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 virtual effect data, the electronic device may select, from the preset virtual effect database, the virtual effect data with the similarity meeting the preset similarity threshold, that is, the virtual effect data with high similarity to the first virtual effect data, so as to obtain at least one recommended virtual effect data.

Therefore, the data recommendation method provided by the embodiment of the invention can provide the virtual effect data with high similarity to the favorite virtual effect data for the interactive object, so that the recommended virtual effect data more accords with the use habit of the interactive object, and the richness and the intelligence of data recommendation and the man-machine interaction performance are improved.

In the embodiment of the 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 ways are described below.

A mode one,

In some embodiments, determining the similarity between each piece of virtual effect data in the preset virtual effect database and the first virtual effect data in S1022a may be achieved 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 of the first virtual effect data being greater than a preset preference threshold value; the second object set comprises objects with preference degree of each piece of virtual effect data being larger than a preset preference threshold value;

In an embodiment of the disclosure, the electronic device may determine that the set of objects that like the first virtual effect data (i.e., the first set of objects) and that like each virtual effect data in the preset virtual effect database (i.e., the second set of objects). The electronic device may calculate a similarity between the object in the first object set and the object in each second object set 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 objects of the virtual effect data a are liked and most of them also like the virtual effect data B.

Based on the above, the data recommendation method provided by the embodiment of the present disclosure may provide the interactive object with the virtual effect data having high similarity to the favorite virtual effect data, 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 man-machine interaction performance are improved.

A second mode,

calculating 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 pieces of virtual effect data is, and conversely, the smaller the Euclidean distance is, the higher the similarity between the two pieces of virtual effect data is.

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

Based on the above, the data recommendation method provided by the embodiment of the present disclosure may provide the interactive object with the virtual effect data having 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 man-machine interaction performance are improved.

Mode III,

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 disclosure, the electronic device may acquire the similarity calculation model constructed by the machine learning technology in advance. The similarity calculation model may be obtained by training the electronic device in advance, or may be obtained by the electronic device from a third-party server, which is not limited in the embodiment of the present 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, to obtain a trained similarity calculation model. In this way, the electronic device can input each piece of virtual effect data in the preset virtual effect database into the trained similarity calculation model with the first piece of virtual effect data, and after calculation processing is performed 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 plurality of virtual effect data samples, the object set sample corresponding to each virtual effect data sample, and the similarity between every two virtual effect data samples, to obtain a 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 second object set corresponding to each piece of virtual effect data, and the first object set corresponding to the first piece of virtual effect data into the trained similarity calculation model, and after calculation processing is performed 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.

That is, the similarity calculation model may integrate the similarity of contents between the virtual effect data and the similarity of 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 may provide the interactive object with the virtual effect data having 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 man-machine interaction performance are improved.

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

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

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

In the embodiment of the disclosure, the electronic device may display a recommendation icon in the display interface when entering the current virtual scene display.

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

In some embodiments, the recommendation icon may be located at a position that does not obscure the current virtual scene. For example, referring to fig. 5A, the recommendation icon 51 may be disposed on the left or right side of the display interface in the electronic device 400, which is not limited by the embodiments 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 detecting a touch operation of an interactive object on a recommendation icon, the electronic device may display a dialog box, and display preview information of at least one recommendation virtual effect data determined in S103. Referring to fig. 5B, after the interactive object clicks the recommendation list icon 51 of 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 that briefly describes 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 disclosure does not limit the type of preview information.

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

That is, the higher the similarity between the recommended virtual effect data and the first virtual effect data, the more front the recommended virtual effect data is at the display position in the display interface, that is, the position where the interactive object is easily noticed. Conversely, the lower the similarity between the recommended virtual effect data and the first virtual effect data, the more backward the recommended virtual effect data is at the display position in the display interface, i.e. the position where the interactive object is not easily noticed. Therefore, the interactive object can select the virtual effect data conforming to 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.

It can be appreciated 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 disclosure, the arrangement order of preview information corresponding to at least one recommended virtual effect data is determined based on the order of magnitudes of the similarity between the at least one recommended virtual effect data and the first virtual effect data.

That is, the higher the similarity between the recommended virtual effect data and the first virtual effect data, the more front the recommended virtual effect data is at the display position in the display interface, that is, the position where the interactive object is easily noticed. Conversely, the lower the similarity between the recommended virtual effect data and the first virtual effect data, the more backward the recommended virtual effect data is at the display position in the display interface, i.e. the position where the interactive object is not easily noticed.

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

Fig. 6 is a schematic structural 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 characterizes special effect data presented in a virtual scene;

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

and a display unit 63, configured to display the recommended virtual effect data based on the at least one recommended virtual effect data in the case of performing the current virtual scene display.

In some embodiments, 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 some embodiments, the feedback information includes the evaluation information; an obtaining unit 61, configured to display a prompt message through a display interface when the display interface displays the first virtual effect data; the prompting message is used for prompting an interaction object to evaluate and feed back the first virtual effect data; and receiving the evaluation information provided by the interaction object for the prompt message.

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

In some embodiments, the operation information includes at least one of:

the browsing times of the first virtual special effect data;

the browsing duration of the first virtual special effect data;

and the number of times of using the first virtual special effect data.

In some embodiments, the determining unit 62 is specifically configured to determine, based on the feedback information, a preference degree reflecting the interactive object on the first virtual effect data; and if the preference degree is greater than a preset preference threshold value, acquiring at least one recommended virtual effect data with an association relationship 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 obtaining virtual effect data with similarity larger than a preset similarity threshold value from the preset virtual effect database, and obtaining the at least one recommended virtual effect data.

In some embodiments, the determining unit 62 is specifically configured to determine 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 of the first virtual effect data being greater than the preset preference threshold value; the second object set comprises objects with preference degree of each piece of virtual effect data being larger than the preset preference threshold value; and obtaining the similarity between the first virtual effect data and each virtual effect data based on the similarity of the objects in the first object set and 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 display unit 63 is specifically configured to display, at a display interface, the recommended virtual effect data with the highest similarity with the first virtual effect data in the at least one recommended virtual effect data.

In some embodiments, the display unit 63 displays the recommendation icon, particularly at a display interface; and responding to the touch operation of the recommended icon, and displaying corresponding preview information of the at least one recommended virtual effect data.

In some embodiments, the display unit 63 displays, specifically at a display interface, preview information corresponding to the at least one recommended virtual effect data.

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

virtual stickers, virtual animations, and virtual objects.

Accordingly, an embodiment of the present disclosure provides an electronic device, and fig. 7 is a schematic structural diagram of the electronic device according to the 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; wherein the processor 702 is configured to execute the data recommendation method as in the previous embodiments when running a computer program.

It will be appreciated that the electronic device also includes a bus system 703; the various components in the electronic device are coupled together by a bus system 703. It is appreciated that the bus system 703 is employed to facilitate connected communications between 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 for the processor 702, and may also cache the processor 702 to be implemented by FLASH memory (FLASH) or random access memory (Random Access Memory, RAM).

The steps of the data recommendation method provided in any of the above embodiments are implemented when the processor 702 executes a program.

The disclosed embodiments provide a computer storage medium storing one or more programs executable by one or more processors to implement the steps of the data recommendation method of any of the embodiments above.

It should be noted here that: the description of the storage medium and apparatus embodiments above is similar to that of the method embodiments described above, with similar benefits as the method embodiments. For technical details not disclosed in the embodiments of the storage medium and apparatus of the present disclosure, please refer to the description of the embodiments of the method of the present disclosure for understanding.

The processor may be at least one of a target application integrated circuit (Application Specific Integrated Circuit, ASIC), a digital signal processor (Digital Signal Processor, DSP), a digital signal processing device (Digital Signal Processing Device, DSPD), a programmable logic device (Programmable Logic Device, PLD), a field programmable gate array (Field Programmable Gate Array, FPGA), a central processing unit (Central Processing Unit, CPU), a controller, a microcontroller, and a microprocessor. It will be appreciated that the electronic devices implementing the above-described processor functions may be other, and 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 (Programmable Read-Only Memory, PROM), an erasable programmable Read Only Memory (Erasable Programmable Read-Only Memory, EPROM), an electrically erasable programmable Read Only Memory (Electrically Erasable Programmable Read-Only Memory, EEPROM), a magnetic random access Memory (Ferromagnetic Random Access Memory, FRAM), a Flash Memory (Flash Memory), a magnetic surface Memory, an optical disk, or a Read Only optical disk (Compact Disc Read-Only Memory, CD-ROM); 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" or "embodiments of the present disclosure" or "the foregoing embodiments" or "some embodiments" means that a particular 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 "an embodiment of the present disclosure" or "the foregoing embodiments" or "some embodiments" in various places throughout this specification are not necessarily 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 foregoing processes do not mean the order of execution, and the order of execution of the processes should be determined by their functions and internal logic, and should not constitute any limitation on the implementation of the embodiments of the present disclosure. The foregoing embodiment numbers of the present disclosure are merely for description and do not represent advantages or disadvantages of the embodiments.

Without being specifically illustrated, the detection device may perform any of the steps of the embodiments of the present disclosure, which may be performed by a processor of the detection device. Unless specifically stated, embodiments of the present disclosure do not limit the order in which the following steps are performed by the detection apparatus. In addition, the manner in which the data is processed in different embodiments may be the same method or different methods. It should be further noted that any step in the embodiments of the present disclosure may be performed by the detection apparatus independently, that is, the detection apparatus may not depend on the execution of other steps when performing any step in the embodiments described above.

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 only illustrative, e.g. the division of the units is only one logical function division, and there may be other divisions in practice, such as: multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. In addition, the various components shown or discussed may be coupled or directly coupled or communicatively coupled to each other via some interface, whether indirectly coupled or communicatively coupled to devices or units, whether electrically, mechanically, or otherwise.

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

In addition, each functional unit in each embodiment of the present disclosure may be integrated in one processing unit, or each unit may be separately used as one unit, or two or more units may be integrated in one unit; the integrated units may be implemented in hardware or in hardware plus software functional units.

The methods disclosed in the several method embodiments provided in the present disclosure may be arbitrarily combined without collision to obtain a new method embodiment.

The features disclosed in the several product embodiments provided in the present disclosure may be combined arbitrarily without conflict to obtain new product embodiments.

The features disclosed in the several method or apparatus embodiments provided in the present disclosure may be arbitrarily combined without any conflict to obtain new method embodiments or apparatus embodiments.

Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the above method embodiments may be implemented by hardware related to program instructions, and the foregoing program may be stored in a computer readable storage medium, where the program, when executed, performs steps including the above method embodiments; and the aforementioned storage medium includes: a mobile storage device, a Read Only Memory (ROM), a magnetic disk or an optical disk, or the like, which can store program codes.

Alternatively, the above-described integrated units of the present disclosure may be stored in a computer-readable storage medium if implemented in the form of software functional modules and sold or used as separate products. Based on such understanding, the technical solutions of the embodiments of the present disclosure may be essentially or partially contributing to the related art, and the computer software product may be stored in a storage medium, and include several instructions to cause a computer device (which may be a personal computer, a detection device, or a network device, etc.) to perform all or part of the methods described in the embodiments of the present disclosure. And the aforementioned storage medium includes: various media capable of storing program codes, such as a removable storage device, a ROM, a magnetic disk, or an optical disk.

In embodiments of the present disclosure, descriptions of the same steps and the same content in different embodiments may be referred to each other. In the presently disclosed embodiments, the term "and" does not affect the order of steps.

The foregoing is merely an embodiment of the present disclosure, but the protection scope of the present disclosure is not limited thereto, and any person skilled in the art can easily think about the changes or substitutions within the technical scope of the present disclosure, and should be covered by the protection 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 data recommendation method, comprising:

acquiring feedback information of first virtual effect data under the condition that the first virtual effect data is displayed to an interactive object; the first virtual effect data characterizes special effect data presented in a virtual scene; the feedback information includes evaluation information acting on the first virtual effect data and operation information acting on the first virtual effect data; the evaluation information is obtained by performing evaluation feedback on the first virtual effect data; the operation information includes at least one of: the browsing times of the first virtual effect data, the browsing time of the first virtual effect data and the using times of the first virtual effect data;

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

under the condition that the preference degree is larger than a preset preference threshold value, determining similarity between each piece of virtual effect data in a preset virtual effect database and the first virtual effect data respectively;

obtaining virtual effect data with similarity larger than a preset similarity threshold value from the preset virtual effect database, and obtaining at least one recommended virtual effect data;

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

the determining the similarity between each piece of virtual effect data in the preset virtual effect database and the first virtual effect data respectively comprises the following steps:

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 of the first virtual effect data being greater than the preset preference threshold value; the second object set comprises objects with preference degree of each piece of virtual effect data being larger than the preset preference threshold value;

2. The method of claim 1, wherein the feedback information comprises the evaluation information;

under the condition that the first virtual effect data is displayed to the interactive object, acquiring feedback information of the first virtual effect data comprises the following steps:

displaying a prompt message through the display interface under the condition that the display interface displays the first virtual effect data to the interactive object; the prompting message is used for prompting an interaction object to evaluate and feed back the first virtual effect data;

3. The method of claim 1, wherein the rating information comprises rating information, and/or comment information.

4. The method according to claim 1, wherein determining a similarity between each piece of virtual effect data in the preset virtual effect database and the first piece of virtual effect data, respectively, includes:

5. The method according to claim 1, wherein determining a similarity between each piece of virtual effect data in the preset virtual effect database and the first piece of virtual effect data, respectively, includes:

6. A method according to any one of claims 1-3, wherein said presenting recommended virtual effect data based on said at least one recommended virtual effect data comprises:

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

Displaying a recommendation icon on a display interface;

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

9. The method according to claim 7 or 8, wherein the arrangement order of preview information corresponding to the at least one recommended virtual effect data is determined based on the order of magnitudes of the similarity of the at least one recommended virtual effect data and the first virtual effect data.

10. A method according to any of claims 1-3, wherein the first virtual effect data, and/or the recommended virtual effect data, comprises at least one of:

virtual stickers, virtual animations, and virtual objects.

11. A method according to any of claims 1-3, characterized in that the method is applied to a client application platform, which is a Web-side application platform or an applet-side application platform.

12. A data recommendation device, comprising:

the device comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring feedback information of first virtual effect data under the condition that the first virtual effect data are displayed to an interactive object; the first virtual effect data characterizes special effect data presented in a virtual scene; the feedback information includes evaluation information acting on the first virtual effect data and operation information acting on the first virtual effect data; the evaluation information is obtained by performing evaluation feedback on the first virtual effect data; the operation information includes at least one of: the browsing times of the first virtual effect data, the browsing time of the first virtual effect data and the using times of the first virtual effect data;

the determining unit is used for determining and reflecting the preference degree of the interactive object to the first virtual effect data based on the feedback information; under the condition that the preference degree is larger than a preset preference threshold value, determining similarity between each piece of virtual effect data in a preset virtual effect database and the first virtual effect data respectively; obtaining virtual effect data with similarity larger than a preset similarity threshold value from the preset virtual effect database, and obtaining at least one recommended virtual effect data;

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

the determining unit is further used for 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 of the first virtual effect data being greater than the preset preference threshold value; the second object set comprises objects with preference degree of each piece of virtual effect data being larger than the preset preference threshold value; and obtaining the similarity between the first virtual effect data and each virtual effect data based on the similarity of the objects in the first object set and the second object set.

13. 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 11 when executing an executable computer program stored in the memory.

14. A computer readable storage medium, having stored thereon a computer program for causing a processor to perform the method of any one of claims 1 to 11.