CN117763232A

CN117763232A - Resource recommendation method, device, equipment and computer readable storage medium

Info

Publication number: CN117763232A
Application number: CN202311799709.8A
Authority: CN
Inventors: 高顺; 孙连鹏; 于鑫
Original assignee: Beijing SoundAI Technology Co Ltd
Current assignee: Beijing SoundAI Technology Co Ltd
Priority date: 2023-12-25
Filing date: 2023-12-25
Publication date: 2024-03-26

Abstract

The application discloses a resource recommendation method, a device, equipment and a computer readable storage medium, and belongs to the technical field of Internet. The method is applied to terminal equipment, wherein a client for resource recommendation is installed and operated in the terminal equipment, and the method comprises the following steps: responding to triggering operation of relevant information aiming at the client side, and playing first voice data; acquiring second voice data of a user replying to the first voice data, wherein the second voice data is used for indicating the resource acquisition intention of the user; determining a resource to be recommended according to the second voice data, wherein the resource to be recommended is matched with the resource acquisition intention of the user; and playing third voice data, wherein the third voice data comprises resource information of the resources to be recommended. The method has the advantages that the matching degree of the recommended resources to the user and the requirements of the user is higher, and the effect of resource recommendation is improved.

Description

Resource recommendation method, device, equipment and computer readable storage medium

Technical Field

The embodiment of the application relates to the technical field of internet, in particular to a resource recommendation method, a device, equipment and a computer readable storage medium.

Background

Along with the continuous development of internet technology, the life rhythm of people is gradually accelerated, and take-out ordering and meal delivery become an important catering way for people.

In the related art, acquiring historical order information of a user; determining candidate resources recommended to the user according to the historical order information of the user; and further displaying resource information of the candidate resources so that a user can determine the resources required to be acquired in the candidate resources and acquire the resources.

However, in the resource recommendation method, when determining the candidate resources recommended to the user, only the historical order information of the user is considered, so that the recommended candidate resources may not meet the requirements of the user, the resource recommendation effect is poor, the user ordering conversion rate is low, and the effective conversion rate of the resources is low.

Disclosure of Invention

The embodiment of the application provides a resource recommendation method, device, equipment and a computer readable storage medium, which can be used for solving the problems that recommended resources in the related technology do not meet the requirements of users, the resource recommendation effect is poor, the ordering conversion rate of the users is low and the effective conversion rate of the resources is low. The technical scheme is as follows:

In one aspect, an embodiment of the present application provides a resource recommendation method, where the method includes:

responding to triggering operation of relevant information of the client, and playing the first voice data;

acquiring second voice data of a user replying to the first voice data, wherein the second voice data is used for indicating the resource acquisition intention of the user;

determining a resource to be recommended according to the second voice data, wherein the resource to be recommended is matched with the resource acquisition intention of the user;

and playing third voice data, wherein the third voice data comprises resource information of the resources to be recommended.

In one possible implementation, the method further includes:

acquiring the position information of the user;

acquiring health information of the user according to the second voice data;

the determining the resource to be recommended according to the second voice data includes:

converting the second voice data to obtain text content corresponding to the second voice data;

and determining the resource to be recommended in a plurality of candidate resources according to the text content, the position information of the user, the health information of the user and the resource information of each candidate resource.

In a possible implementation manner, the obtaining health information of the user according to the second voice data includes:

acquiring voiceprint feature vectors of the user according to the second voice data;

and acquiring health information of the user according to the voiceprint feature vector of the user.

In one possible implementation, the resource information of the candidate resource includes a resource name of the candidate resource, description information of the candidate resource, a name of an object providing the candidate resource, and a resource value of the candidate resource;

the determining the resource to be recommended in a plurality of candidate resources according to the text content, the position information of the user, the health information of the user and the resource information of each candidate resource comprises the following steps:

according to the text content, obtaining a text feature vector, wherein the text feature vector is used for representing the text content;

acquiring a resource feature vector of each candidate resource according to the resource name of each candidate resource, wherein the resource feature vector of any candidate resource is used for representing the resource name of any candidate resource;

determining a plurality of first resources from a plurality of candidate resources according to the text feature vector and the resource feature vector of each candidate resource, wherein the number of the first resources is smaller than that of the candidate resources;

Determining position information of objects providing the first resources according to names of the objects providing the first resources;

determining a plurality of second resources among the plurality of first resources according to the position information of the object providing each first resource and the position information of the user, wherein the number of the second resources is smaller than that of the first resources;

determining a plurality of third resources from the plurality of second resources according to the description information of each second resource and the health information of the user, wherein the number of the third resources is smaller than that of the second resources;

and taking the third resource with the resource value meeting the numerical requirement in the plurality of third resources as the resource to be recommended.

In one possible implementation manner, the determining a plurality of first resources from a plurality of candidate resources according to the text feature vector and the resource feature vector of each candidate resource includes:

determining the matching degree between the text content and each candidate resource according to the text feature vector and the resource feature vector of each candidate resource;

and taking the candidate resource with the matching degree meeting the matching requirement as the first resource.

In one possible implementation manner, the determining a plurality of second resources from the plurality of first resources according to the location information of the object providing each first resource and the location information of the user includes:

determining a target area according to the position information of the user;

and taking the first resource, of the plurality of first resources, of which the position information of the object providing the first resource is located in the target area, as the second resource.

In one possible implementation manner, after the playing the third voice data, the method further includes:

acquiring fourth voice data, wherein the fourth voice data is used for indicating whether to acquire the resource to be recommended;

under the condition that semantic analysis is carried out on the fourth voice data to determine to obtain the resources to be recommended, determining voiceprint feature vectors corresponding to the fourth voice data;

determining a resource transfer account corresponding to the voiceprint feature vector corresponding to the fourth voice data;

and transferring the resource of the resource value of the resource to be recommended from the resource transfer account.

In another aspect, an embodiment of the present application provides a resource recommendation device, where the device includes:

The playing module is used for responding to the triggering operation of the related information of the client and playing the first voice data;

the acquisition module is used for acquiring second voice data of a user replying to the first voice data, wherein the second voice data is used for indicating the resource acquisition intention of the user;

the determining module is used for determining resources to be recommended according to the second voice data, and the resources to be recommended are matched with the resource acquisition intention of the user;

the playing module is further configured to play third voice data, where the third voice data includes resource information of the resource to be recommended.

In a possible implementation manner, the obtaining module is further configured to obtain location information of the user; acquiring health information of the user according to the second voice data;

the determining module is used for converting the second voice data to obtain text content corresponding to the second voice data; and determining the resource to be recommended in a plurality of candidate resources according to the text content, the position information of the user, the health information of the user and the resource information of each candidate resource.

In a possible implementation manner, the acquiring module is configured to acquire a voiceprint feature vector of the user according to the second voice data; and acquiring health information of the user according to the voiceprint feature vector of the user.

the determining module is used for obtaining text feature vectors according to the text content, wherein the text feature vectors are used for representing the text content; acquiring a resource feature vector of each candidate resource according to the resource name of each candidate resource, wherein the resource feature vector of any candidate resource is used for representing the resource name of any candidate resource; determining a plurality of first resources from a plurality of candidate resources according to the text feature vector and the resource feature vector of each candidate resource, wherein the number of the first resources is smaller than that of the candidate resources; determining position information of objects providing the first resources according to names of the objects providing the first resources; determining a plurality of second resources among the plurality of first resources according to the position information of the object providing each first resource and the position information of the user, wherein the number of the second resources is smaller than that of the first resources; determining a plurality of third resources from the plurality of second resources according to the description information of each second resource and the health information of the user, wherein the number of the third resources is smaller than that of the second resources; and taking the third resource with the resource value meeting the numerical requirement in the plurality of third resources as the resource to be recommended.

In a possible implementation manner, the determining module is configured to determine a matching degree between the text content and the candidate resources according to the text feature vector and the resource feature vector of the candidate resources; and taking the candidate resource with the matching degree meeting the matching requirement as the first resource.

In a possible implementation manner, the determining module is configured to determine a target area according to the location information of the user; and taking the first resource, of the plurality of first resources, of which the position information of the object providing the first resource is located in the target area, as the second resource.

In a possible implementation manner, the obtaining module is further configured to obtain fourth voice data, where the fourth voice data is used to indicate whether to obtain the resource to be recommended;

the determining module is further configured to determine a voiceprint feature vector corresponding to the fourth voice data when semantic analysis is performed on the fourth voice data to determine that the resource to be recommended is obtained; determining a resource transfer account corresponding to the voiceprint feature vector corresponding to the fourth voice data;

the apparatus further comprises:

And the transferring module is used for transferring the resources of the resource values of the resources to be recommended from the resource transferring account.

In another aspect, an embodiment of the present application provides a computer device, where the computer device includes a processor and a memory, where the memory stores at least one program code, and the at least one program code is loaded and executed by the processor, so that the computer device implements any one of the resource recommendation methods described above.

In another aspect, there is provided a computer readable storage medium having at least one program code stored therein, the at least one program code being loaded and executed by a processor to cause a computer to implement any of the above-described resource recommendation methods.

In another aspect, a computer program or computer program product is provided, where at least one computer instruction is stored, where the at least one computer instruction is loaded and executed by a processor, to cause a computer to implement any of the resource recommendation methods described above.

The technical scheme provided by the embodiment of the application at least brings the following beneficial effects:

According to the technical scheme provided by the embodiment of the application, when the resource recommendation is carried out, the resource acquisition intention of the user is acquired in a voice interaction mode, namely, what resource is needed by the user is determined, so that the resource needed by the user is recommended to the user, the matching degree between the resource recommended to the user and the requirement of the user is higher, and the effect of resource recommendation is improved. Because the recommended resources are resources required by the user, the probability of the user obtaining the resources is increased, and the ordering conversion rate of the user and the effective conversion rate of the resources can be further improved.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

FIG. 1 is a schematic diagram of an implementation environment of a resource recommendation method according to an embodiment of the present application;

FIG. 2 is a flowchart of a resource recommendation method provided in an embodiment of the present application;

FIG. 3 is a schematic illustration showing a resource recommendation page according to an embodiment of the present application;

fig. 4 is a schematic structural diagram of a resource recommendation device provided in an embodiment of the present application;

fig. 5 is a schematic structural diagram of a terminal device provided in an embodiment of the present application;

fig. 6 is a schematic structural diagram of a server according to an embodiment of the present application.

Detailed Description

For the purpose of making the objects, technical solutions and advantages of the present application more apparent, the embodiments of the present application will be described in further detail below with reference to the accompanying drawings.

Fig. 1 is a schematic diagram of an implementation environment of a resource recommendation method according to an embodiment of the present application, where, as shown in fig. 1, the implementation environment includes: a terminal device 101 and a server 102. The resource recommendation method provided in the embodiment of the present application may be executed by the terminal device 101, or may be implemented by interaction between the terminal device 101 and the server 102, which is not limited in the embodiment of the present application.

Alternatively, the terminal device 101 may be any electronic device product that can perform man-machine interaction with a user through one or more manners of a keyboard, a touch pad, a remote controller, a voice interaction or a handwriting device. For example, a PC (Personal Computer ), a mobile phone, a smart phone, a PDA (Personal Digital Assistant ), a wearable device, a PPC (Pocket PC, palm computer), a tablet computer, a smart car machine, a smart television, a smart sound box, a smart watch, and the like.

The terminal device 101 may refer broadly to one of a plurality of terminal devices, and the present embodiment is illustrated only with the terminal device 101. Those skilled in the art will appreciate that the number of terminal devices described above may be greater or lesser. For example, the number of the terminal devices may be only one, or the number of the terminal devices may be tens or hundreds, or more, and the number and the device types of the terminal devices are not limited in the embodiment of the present application.

The server 102 is a server, or a server cluster formed by a plurality of servers, or any one of a cloud computing platform and a virtualization center, which is not limited in this embodiment of the present application. The server 102 is in communication connection with the terminal device 101 via a wired network or a wireless network. The server 102 has a data receiving function, a data processing function, and a data transmitting function. Of course, the server 102 may also have other functions, which are not limited in this embodiment of the present application.

It will be appreciated by those skilled in the art that the above-described terminal device 101 and server 102 are merely illustrative, and that other terminal devices or servers, now existing or hereafter may be present, as may be appropriate for use in the present application, are intended to be within the scope of the present application and are incorporated herein by reference.

The embodiment of the present application provides a resource recommendation method, which may be applied to the implementation environment shown in fig. 1, and takes a flowchart of the resource recommendation method provided in the embodiment of the present application shown in fig. 2 as an example, where the method may be performed by the terminal device 101 in fig. 1. As shown in fig. 2, the method includes the following steps 201 to 204.

In step 201, the first voice data is played in response to a trigger operation for the relevant information of the client.

In the exemplary embodiment of the present application, a client for recommending resources is installed and operated in the terminal device, and the client may recommend any type of resources, which is not limited in the embodiment of the present application. The client may refer to a client that needs to be downloaded and installed, or may refer to an embedded program that runs depending on a host program, including but not limited to an applet, and the embodiment of the present application does not limit the type of the client. Based on the client being an embedded program, the embedded program is an application program which is developed based on a programming language and runs depending on a host program. The embedded program does not need to be downloaded and installed, and can be operated by only being dynamically loaded in the host program. The user can find the needed embedded program by searching, sweeping, and the like, and can operate the embedded program by clicking on the embedded program, so that the embedded program can not occupy the memory of the terminal equipment after being closed after being used, and is quite convenient.

In a possible implementation manner, the display interface of the terminal device displays relevant information of the client, where the relevant information of the client may be an icon of the client, a name of the client, or other information of the client.

When the user wants to operate the client, the user selects the relevant information of the client, the terminal equipment receives the triggering operation aiming at the relevant information of the client and operates the client, at the moment, the user outputs the reference voice data, the terminal equipment acquires the reference voice data and converts the reference voice data to obtain the reference text corresponding to the reference voice data. And playing the first voice data based on the existence of the target word in the reference text.

The relevant information of the client selected by the user may be relevant information of the client clicked by the user, relevant information of the client double clicked by the user, relevant information of the client selected by the user through voice, and relevant information of the client selected by the user through other modes. The target word is a word which is set in advance, and the first voice data is played as long as the word is included in the text corresponding to the voice output by the user.

Optionally, the terminal device comprises voice data acquisition means, e.g. a microphone, by means of which the terminal device performs voice data acquisition. The terminal device further comprises voice data playing means, e.g. a loudspeaker, by means of which the terminal device plays the first voice data.

In one possible implementation, a speech-to-text tool is included in the terminal device for converting speech data into text content. After the terminal equipment acquires the reference voice data, the reference voice data is converted into the reference text corresponding to the reference voice data through a voice-to-text tool.

For example, the target word is "small one", the terminal device acquires the reference voice data, and the reference text corresponding to the reference voice data is "small one and small one". Since the target word is included in the reference text, the first voice data is played.

Optionally, the terminal device receives a triggering operation for the relevant information of the client, displays a resource recommendation page, and displays a reference text corresponding to the reference voice data in the resource recommendation page after the terminal device receives the reference voice data. The terminal device may display the text corresponding to the first voice data in the resource recommendation page while playing the first voice data.

Fig. 3 is a schematic display diagram of a resource recommendation page according to an embodiment of the present application. In the resource recommendation page shown in fig. 3, a reference text 301 corresponding to the reference voice data and a text 302 corresponding to the first voice data are displayed.

In step 202, second voice data of a user replying to the first voice data is acquired, the second voice data being used to indicate a resource acquisition intention of the user.

In one possible implementation manner, after the first voice data is played, the user hears the first voice data, and then the user speaks the self-acquired resource acquisition intention, that is, what resource the user wants to acquire, and the terminal device acquires the second voice data, that is, what resource the user wants to acquire.

Illustratively, the first voice data played is "please ask you what is needed? "voice data, the second voice data spoken by the user is voice data of" I want eight-treasure gruel ", that is, the resource the user wants to acquire is eight-treasure gruel.

It should be noted that, the resource that the user wants to obtain may be food, living goods, household appliances, or other articles, and the embodiment of the present application does not limit the type of the resource that the user wants to obtain.

Optionally, after the second voice data is obtained, the second voice data may be converted to obtain a text corresponding to the second voice data, and the text corresponding to the second voice data is displayed in the resource recommendation page.

In step 203, according to the second voice data, a resource to be recommended is determined, and the resource to be recommended is matched with the resource acquisition intention of the user.

In one possible implementation manner, before determining the resource to be recommended, the location information of the user needs to be acquired, and the embodiment of the application does not limit the acquisition time of the location information of the user. Alternatively, the timing of acquiring the location information of the user may be after the triggering operation for the relevant information of the client, or may be after the second voice data is acquired.

The process for acquiring the position information of the user comprises the following steps: the terminal equipment comprises a position information acquisition module, and the position information of the user is acquired by calling the position information acquisition module.

After the second voice data is acquired, health information of the user is also acquired according to the second voice data, wherein the health information of the user comprises, but is not limited to, height, weight, age, taste preference, whether diseases exist or not and the like of the user.

In one possible implementation, the process of obtaining health information of the user according to the second voice data includes: acquiring voiceprint feature vectors of the user according to the second voice data; and acquiring health information of the user according to the voiceprint feature vector of the user.

Optionally, the terminal device includes a voiceprint feature vector extraction model, after the second voice data is acquired, the second voice data is input into the voiceprint feature vector extraction model, and the feature vector output by the voiceprint feature vector extraction model is used as the voiceprint feature vector of the user.

The voiceprint feature vector extraction model may be any model capable of extracting voiceprint feature vectors, which is not limited in the embodiment of the present application. Illustratively, the voiceprint feature vector extraction model is the ECAPA-TDNN model (Extended Context-Aware Parallel Aggregation TDNN, a speech recognition model). The ECAPA-TDNN model adopts the structures of TDNN (Time Delay Neural Network, delay neural network) and CNN (Convolutional Neural Network ), and can better process long-time sequence voice signals.

After the voiceprint feature vector of the user is obtained, the process of obtaining the health information of the user according to the voiceprint feature vector of the user comprises the following steps: and generating a health information acquisition request according to the voiceprint feature vector of the user, wherein the health information acquisition request comprises the voiceprint feature vector of the user. And sending a health information acquisition request to the server. The server receives a health information acquisition request sent by the terminal equipment, and analyzes the health information acquisition request to obtain a voiceprint feature vector of the user. The server stores the health information of each user and the corresponding relation between the health information of each user and the voiceprint feature vector of each user. And the server determines the health information of the user according to the voiceprint feature vector of the user and the corresponding relation between the health information of each user and the voiceprint feature vector of each user. The server sends the health information of the user to the terminal equipment so that the terminal equipment can acquire the health information of the user.

After the terminal equipment obtains the position information of the user and the health information of the user, the process of determining the resources to be recommended according to the second voice data comprises the following steps: converting the second voice data to obtain text content corresponding to the second voice data; and determining the resources to be recommended from the plurality of candidate resources according to the text content, the position information of the user, the health information of the user and the resource information of each candidate resource.

The process of converting the second voice data to obtain the text content corresponding to the second voice data is similar to the process of converting the reference voice data to obtain the reference text corresponding to the reference voice data, which is not described herein in detail.

In one possible implementation, the resource information of the candidate resource includes a resource name of the candidate resource, description information of the candidate resource, a name of an object providing the candidate resource, and a resource value of the candidate resource. Of course, the resource information of the candidate resource may also include other information, which is not limited in the embodiment of the present application. The process of determining the resource to be recommended among the plurality of candidate resources according to the text content, the position information of the user, the health information of the user and the resource information of each candidate resource comprises the following steps: according to the text content, acquiring a text feature vector, wherein the text feature vector is used for representing the text content; according to the resource names of the candidate resources, obtaining resource feature vectors of the candidate resources, wherein the resource feature vector of any candidate resource is used for representing the resource name of any candidate resource; determining a plurality of first resources in the plurality of candidate resources according to the text feature vector and the resource feature vector of each candidate resource, wherein the number of the first resources is smaller than that of the candidate resources; determining position information of objects providing the first resources according to names of the objects providing the first resources; determining a plurality of second resources among the plurality of first resources according to the position information of the object providing each first resource and the position information of the user, wherein the number of the second resources is smaller than that of the first resources; determining a plurality of third resources in the plurality of second resources according to the description information of each second resource and the health information of the user, wherein the number of the third resources is smaller than that of the second resources; and taking the third resource with the resource value meeting the numerical requirement in the plurality of third resources as the resource to be recommended. The resource value meeting the value requirement means that the resource value is minimum, or the resource value meeting the value requirement means that the resource value is maximum, which is not limited in the embodiment of the present application.

The process of obtaining the text feature vector according to the text content is similar to the process of obtaining the resource feature vector of each candidate resource according to the resource name of each candidate resource, and the embodiment of the application only takes the text feature vector obtained according to the text content as an example for explanation. Optionally, the process of acquiring the text feature vector according to the text content includes: the terminal equipment comprises a feature vector extraction model, text content is input into the feature vector extraction model, and the content output by the feature vector extraction model is used as the text feature vector.

Alternatively, the feature vector extraction model may be any model capable of extracting a feature vector, which is not limited in the embodiment of the present application. Illustratively, the feature vector extraction model is a CNN model.

The process of determining a plurality of first resources among the plurality of candidate resources based on the text feature vector and the resource feature vector for each candidate resource comprises: determining the matching degree between the text content and each candidate resource according to the text feature vector and the resource feature vector of each candidate resource; and taking the candidate resource with the matching degree meeting the matching requirement as a first resource.

The matching degree meeting the matching requirement means that the matching degree is larger than a matching threshold, and the matching threshold is set based on experience or adjusted according to an implementation environment, which is not limited in the embodiment of the application. Illustratively, the match threshold is 0.8.

The process of determining the degree of matching between the text content and each candidate resource based on the text feature vector and the resource feature vector of each candidate resource comprises: and for any candidate resource in the plurality of candidate resources, taking the dot product between the text feature vector and the resource feature vector of any candidate resource as the matching degree between the text content and any candidate resource.

Illustratively, the text feature vector is (1, 2, 3), the resource feature vector of any candidate resource is (2, 3, 4), and the matching degree between the text content and any candidate resource is 20.

It should be noted that, the matching degree between the text content and any candidate resource may be determined according to the text feature vector and the resource feature vector of any candidate resource in other manners, which is not limited in the embodiment of the present application.

After determining the first resource from the plurality of candidate resources, determining location information of the object providing each first resource according to the name of the object providing each first resource includes: for any one of the plurality of first resources, generating a location information acquisition request according to the name of the object providing the any one of the first resources, wherein the location information acquisition request comprises the name of the object of any one of the first resources; and sending a position information acquisition request to a server. The server receives the position information acquisition request and analyzes the position information acquisition request to obtain the name of the object of any first resource. The server stores the position information of each object and the corresponding relation between the names of each object and the position information of each object, and determines the position information of the object providing any first resource according to the names of the objects providing any first resource and the corresponding relation between the names of each object and the position information of each object. The server sends the position information of the object providing any first resource to the terminal equipment so that the terminal equipment obtains the position information of the object providing any first resource.

The process of determining a plurality of second resources among the plurality of first resources based on the location information of the object providing each of the first resources and the location information of the user includes: determining a target area according to the position information of the user; and taking the first resource, which is located in the target area, of the plurality of first resources and is used for providing the position information of the object of the first resource as the second resource.

In one possible implementation manner, the process of determining the target area according to the location information of the user is not limited in the embodiments of the present application. Optionally, the process of determining the target area according to the position information of the user includes: the area covered by the circle determined by taking the target distance as the radius is taken as the target area by taking the position indicated by the position information of the user as the center. The target distance is set based on experience, or is adjusted according to the implementation environment, which is not limited in the embodiment of the present application. Illustratively, the target distance is 300 meters.

The process of determining the plurality of third resources among the plurality of second resources according to the description information of each second resource and the health information of the user is similar to the process of determining the plurality of first resources among the plurality of candidate resources according to the text feature vector and the resource feature vector of each candidate resource, and is not described herein.

In step 204, third voice data is played, the third voice data including resource information of the resources to be recommended.

In a possible implementation manner, after determining the resource to be recommended in the step 203, third voice data is generated according to the resource information of the resource to be recommended, where the third voice data includes the resource information of the resource to be recommended.

Optionally, according to the location information of the object providing the resource to be recommended and the location information of the user, determining a time length required by the user to acquire the resource to be recommended, and according to the resource information of the resource to be recommended and the time length required by the user to acquire the resource to be recommended, generating third voice data, wherein the third voice data comprises the resource information of the resource to be recommended and the time length required by the user to acquire the resource to be recommended.

The process of determining the time length required by the user to acquire the resource to be recommended according to the position information of the object providing the resource to be recommended and the position information of the user comprises the following steps: determining the distance between the object providing the resource to be recommended and the user according to the position information of the object providing the resource to be recommended and the position information of the user; and determining the time length required by the user to acquire the resource to be recommended according to the distance and the average speed between the object providing the resource to be recommended and the user.

In one possible implementation manner, the process of generating the third voice data according to the resource information of the resource to be recommended and the time length required by the user to acquire the resource to be recommended includes: generating a recommended text according to the resource information of the resource to be recommended and the time length required by the user to acquire the resource to be recommended, and converting the recommended text to obtain third voice data.

Illustratively, the resource information of the resource to be recommended includes: the name of an object for providing the resource to be recommended is AA family, the name of the resource to be recommended is ZZZ, and the resource value of the resource to be recommended is Y element; the time required for the user to acquire the resource to be recommended is B minutes, and the generated recommended text is "if the user recommends the ZZZ of the AA family for you, Y elements are required, the user sends the recommended resource after the user is currently requesting B minutes, and is the user confirms the user to place a recommendation? ".

After the third voice data is obtained, the third voice data is played through a voice data playing module, so that the purpose of recommending resources to be recommended to a user is achieved. Optionally, after the recommended text is generated, the recommended text and the link of the resource to be recommended may be displayed in the resource recommendation page, where the recommended text is displayed so that the user may have a certain knowledge about the resource to be recommended when the user does not hear the third voice data. When the user wants to fully know the resource to be recommended, the user can select the link of the resource to be recommended and then enter a detailed page of the resource to be recommended, and various information of the resource to be recommended is displayed in the detailed page of the resource to be recommended, so that the user can fully know the resource to be recommended.

In one possible implementation manner, after the user hears the third voice data, whether to acquire the resource to be recommended can be determined by outputting the fourth voice data, and after the user outputs the fourth voice data, the terminal device acquires the fourth voice data, where the fourth voice data is used to indicate whether to acquire the resource to be recommended; converting the fourth voice data to obtain text content corresponding to the fourth voice data; determining to perform semantic analysis on the fourth voice data to determine to acquire resources to be recommended based on the fact that the text content corresponding to the fourth voice data comprises keywords; and determining that the resources to be recommended are not acquired by carrying out semantic analysis on the fourth voice data based on the fact that the text content corresponding to the fourth voice data does not comprise keywords.

The keywords are set based on experience, or are adjusted according to the implementation environment, which is not limited in the embodiment of the present application. Illustratively, the keywords are confirm, order, confirm order.

Under the condition that semantic analysis is carried out on the fourth voice data to determine to obtain resources to be recommended, determining voiceprint feature vectors corresponding to the fourth voice data, and determining a resource transfer account corresponding to the voiceprint feature vectors corresponding to the fourth voice data; and transferring the resource of the resource value of the resource to be recommended from the resource transfer account.

The process of determining the voiceprint feature vector corresponding to the fourth voice data is similar to the process of obtaining the voiceprint feature vector of the user according to the second voice data, and will not be described herein.

And the corresponding relation between each voiceprint feature vector and the corresponding resource transfer account of each voiceprint feature vector is stored in the terminal equipment. After the voiceprint feature vector corresponding to the fourth voice data is determined, determining a resource transfer account corresponding to the voiceprint feature vector corresponding to the fourth voice data according to the voiceprint feature vector corresponding to the fourth voice data and the corresponding relation between each voiceprint feature vector and the resource transfer account corresponding to each voiceprint feature vector. Because the resource information of the resource to be recommended comprises the resource value of the resource to be recommended, the resource of the resource value of the resource to be recommended is transferred from the resource transfer account when the resource transfer account corresponding to the voiceprint feature vector corresponding to the fourth voice data is determined.

For example, the resource transfer account corresponding to the voiceprint feature vector corresponding to the fourth voice data is the resource transfer account one, and the resource value of the resource to be recommended is 100 yuan, so that 100 yuan is transferred from the resource transfer account one.

Optionally, after transferring the resource of the resource value of the resource to be recommended from the resource transfer account corresponding to the voiceprint feature vector corresponding to the fourth voice data, fifth voice data may be played, where the fifth voice data is used to indicate that the resource to be recommended is obtained. And converting the fifth voice data to obtain a text corresponding to the fifth voice data, and displaying the text corresponding to the fifth voice data in the resource recommendation page. Illustratively, the fifth voice data is "good, have helped you buy, congratulate you with dinner".

In one possible implementation, the resources that the user has acquired may also be evaluated by voice. The process comprises the following steps: and displaying an order page, wherein order information of at least one order is displayed in the order page, and resources corresponding to each order are acquired by a user. And responding to the triggering operation of order information of any order, displaying an evaluation page of any order, displaying an evaluation control in the evaluation page, responding to the triggering operation of the evaluation control, and acquiring sixth voice data, converting the sixth voice data to obtain a text corresponding to the sixth voice data, and taking the text corresponding to the sixth voice data as the evaluation of resources included in any order. By evaluating the order in this way, the interest of the user can be aroused, and the evaluation rate and the evaluation quality can be improved. More evaluations can enrich the information of the resources corresponding to the orders, improve the knowledge of the resources corresponding to the orders, and further improve more reliable recommendation services for users.

The triggering operation for the evaluation control may be a long-press operation of the pointer on the evaluation control, or a click operation of the pointer on the evaluation control, or other operations of the pointer on the evaluation control, which is not limited in the embodiment of the present application.

When the method is used for recommending the resources, the resource acquisition intention of the user is acquired in a voice interaction mode, namely, what resources are needed by the user is determined, so that the resources needed by the user are recommended to the user, the matching degree between the resources recommended to the user and the requirements of the user is higher, and the effect of recommending the resources is improved. Because the recommended resources are resources required by the user, the probability of the user obtaining the resources is increased, and the ordering conversion rate of the user and the effective conversion rate of the resources can be further improved.

In addition, when the resource recommendation is performed, not only the requirement of the user is considered, but also the position information of the user and the health information of the user are considered, and the user is customized to recommend the resource, so that the matching degree of the recommended resource and the user is higher.

In addition, when the user wants to acquire the recommended resources, the user transfers the resources through the voiceprint feature vector of the user, and the user does not need to manually input a resource transfer password, so that the efficiency of resource transfer is improved.

Fig. 4 is a schematic structural diagram of a resource recommendation device provided in an embodiment of the present application, where, as shown in fig. 4, the device includes:

a playing module 401, configured to respond to a triggering operation for the relevant information of the client, and play the first voice data;

an obtaining module 402, configured to obtain second voice data that is used for indicating a resource obtaining intention of the user and that is used for replying to the first voice data by the user;

a determining module 403, configured to determine, according to the second voice data, a resource to be recommended, where the resource to be recommended matches with a resource acquisition intention of the user;

the playing module 401 is further configured to play third voice data, where the third voice data includes resource information of a resource to be recommended.

In one possible implementation, the obtaining module 402 is further configured to obtain location information of the user; acquiring health information of a user according to the second voice data;

a determining module 403, configured to convert the second voice data to obtain text content corresponding to the second voice data; and determining the resources to be recommended from the plurality of candidate resources according to the text content, the position information of the user, the health information of the user and the resource information of each candidate resource.

In one possible implementation, the obtaining module 402 is configured to obtain a voiceprint feature vector of the user according to the second voice data; and acquiring health information of the user according to the voiceprint feature vector of the user.

a determining module 403, configured to obtain a text feature vector according to the text content, where the text feature vector is used to characterize the text content; according to the resource names of the candidate resources, obtaining resource feature vectors of the candidate resources, wherein the resource feature vector of any candidate resource is used for representing the resource name of any candidate resource; determining a plurality of first resources in the plurality of candidate resources according to the text feature vector and the resource feature vector of each candidate resource, wherein the number of the first resources is smaller than that of the candidate resources; determining position information of objects providing the first resources according to names of the objects providing the first resources; determining a plurality of second resources among the plurality of first resources according to the position information of the object providing each first resource and the position information of the user, wherein the number of the second resources is smaller than that of the first resources; determining a plurality of third resources in the plurality of second resources according to the description information of each second resource and the health information of the user, wherein the number of the third resources is smaller than that of the second resources; and taking the third resource with the resource value meeting the numerical requirement in the plurality of third resources as the resource to be recommended.

In a possible implementation manner, the determining module 403 is configured to determine, according to the text feature vector and the resource feature vector of each candidate resource, a matching degree between the text content and each candidate resource; and taking the candidate resource with the matching degree meeting the matching requirement as a first resource.

In a possible implementation manner, the determining module 403 is configured to determine the target area according to the location information of the user; and taking the first resource, which is located in the target area, of the plurality of first resources and is used for providing the position information of the object of the first resource as the second resource.

In one possible implementation, the obtaining module 402 is further configured to obtain fourth voice data, where the fourth voice data is used to indicate whether to obtain the resource to be recommended;

the determining module 403 is further configured to determine a voiceprint feature vector corresponding to the fourth voice data when performing semantic analysis on the fourth voice data to determine that the resource to be recommended is obtained; determining a resource transfer account corresponding to the voiceprint feature vector corresponding to the fourth voice data;

the apparatus further comprises:

When the device recommends the resources, the resource acquisition intention of the user is acquired in a voice interaction mode, namely, what resources are needed by the user is determined, so that the resources needed by the user are recommended to the user, the matching degree between the recommended resources to the user and the requirements of the user is higher, and the effect of resource recommendation is improved. Because the recommended resources are resources required by the user, the probability of the user obtaining the resources is increased, and the ordering conversion rate of the user and the effective conversion rate of the resources can be further improved.

It should be understood that, in implementing the functions of the apparatus provided above, only the division of the above functional modules is illustrated, and in practical application, the above functional allocation may be implemented by different functional modules, that is, the internal structure of the device is divided into different functional modules, so as to implement all or part of the functions described above. In addition, the apparatus and the method embodiments provided in the foregoing embodiments belong to the same concept, and specific implementation processes of the apparatus and the method embodiments are detailed in the method embodiments and are not repeated herein.

Fig. 5 shows a block diagram of a terminal device 500 according to an exemplary embodiment of the present application. The terminal device 500 may be a portable mobile terminal, such as: a smart phone, a tablet computer, an MP3 player (Moving Picture Experts Group Audio Layer III, motion picture expert compression standard audio plane 3), an MP4 (Moving Picture Experts Group Audio Layer IV, motion picture expert compression standard audio plane 4) player, a notebook computer, or a desktop computer. The terminal device 500 may also be referred to by other names as user device, portable terminal, laptop terminal, desktop terminal, etc.

In general, the terminal device 500 includes: a processor 501 and a memory 502.

Processor 501 may include one or more processing cores, such as a 4-core processor, an 8-core processor, and the like. The processor 501 may be implemented in at least one hardware form of DSP (Digital Signal Processing ), FPGA (Field-Programmable Gate Array, field programmable gate array), PLA (Programmable Logic Array ). The processor 501 may also include a main processor and a coprocessor, the main processor being a processor for processing data in an awake state, also referred to as a CPU (Central Processing Unit ); a coprocessor is a low-power processor for processing data in a standby state. In some embodiments, the processor 501 may be integrated with a GPU (Graphics Processing Unit, image processor) for taking care of rendering and rendering of content that the display screen is required to display. In some embodiments, the processor 501 may also include an AI (Artificial Intelligence ) processor for processing computing operations related to machine learning.

Memory 502 may include one or more computer-readable storage media, which may be non-transitory. Memory 502 may also include high-speed random access memory, as well as non-volatile memory, such as one or more magnetic disk storage devices, flash memory storage devices. In some embodiments, a non-transitory computer readable storage medium in memory 502 is used to store at least one instruction for execution by processor 501 to implement the resource recommendation method provided by the method embodiments herein.

In some embodiments, the terminal device 500 may further optionally include: a peripheral interface 503 and at least one peripheral. The processor 501, memory 502, and peripheral interface 503 may be connected by buses or signal lines. The individual peripheral devices may be connected to the peripheral device interface 503 by buses, signal lines or circuit boards. Specifically, the peripheral device includes: at least one of radio frequency circuitry 504, a display 505, a camera assembly 506, audio circuitry 507, and a power supply 509.

Peripheral interface 503 may be used to connect at least one Input/Output (I/O) related peripheral to processor 501 and memory 502. In some embodiments, processor 501, memory 502, and peripheral interface 503 are integrated on the same chip or circuit board; in some other embodiments, either or both of the processor 501, memory 502, and peripheral interface 503 may be implemented on separate chips or circuit boards, which is not limited in this embodiment.

The Radio Frequency circuit 504 is configured to receive and transmit RF (Radio Frequency) signals, also known as electromagnetic signals. The radio frequency circuitry 504 communicates with a communication network and other communication devices via electromagnetic signals. The radio frequency circuit 504 converts an electrical signal into an electromagnetic signal for transmission, or converts a received electromagnetic signal into an electrical signal. Optionally, the radio frequency circuit 504 includes: antenna systems, RF transceivers, one or more amplifiers, tuners, oscillators, digital signal processors, codec chipsets, subscriber identity module cards, and so forth. The radio frequency circuitry 504 may communicate with other terminal devices via at least one wireless communication protocol. The wireless communication protocol includes, but is not limited to: the world wide web, metropolitan area networks, intranets, generation mobile communication networks (2G, 3G, 4G, and 5G), wireless local area networks, and/or WiFi (Wireless Fidelity ) networks. In some embodiments, the radio frequency circuitry 504 may also include NFC (Near Field Communication ) related circuitry, which is not limited in this application.

The display 505 is used to display a UI (User Interface). The UI may include graphics, text, icons, video, and any combination thereof. When the display 505 is a touch display, the display 505 also has the ability to collect touch signals at or above the surface of the display 505. The touch signal may be input as a control signal to the processor 501 for processing. At this time, the display 505 may also be used to provide virtual buttons and/or virtual keyboards, also referred to as soft buttons and/or soft keyboards. In some embodiments, the display 505 may be one, and disposed on the front panel of the terminal device 500; in other embodiments, the display 505 may be at least two, and disposed on different surfaces of the terminal device 500 or in a folded design; in other embodiments, the display 505 may be a flexible display disposed on a curved surface or a folded surface of the terminal device 500. Even more, the display 505 may be arranged in a non-rectangular irregular pattern, i.e., a shaped screen. The display 505 may be made of LCD (Liquid Crystal Display ), OLED (Organic Light-Emitting Diode) or other materials.

The camera assembly 506 is used to capture images or video. Optionally, the camera assembly 506 includes a front camera and a rear camera. Typically, a front camera is provided at the front panel of the terminal device 500, and a rear camera is provided at the rear surface of the terminal device 500. In some embodiments, the at least two rear cameras are any one of a main camera, a depth camera, a wide-angle camera and a tele camera, so as to realize that the main camera and the depth camera are fused to realize a background blurring function, and the main camera and the wide-angle camera are fused to realize a panoramic shooting and Virtual Reality (VR) shooting function or other fusion shooting functions. In some embodiments, camera assembly 506 may also include a flash. The flash lamp can be a single-color temperature flash lamp or a double-color temperature flash lamp. The dual-color temperature flash lamp refers to a combination of a warm light flash lamp and a cold light flash lamp, and can be used for light compensation under different color temperatures.

The audio circuitry 507 may include a microphone and a speaker. The microphone is used for collecting sound waves of users and environments, converting the sound waves into electric signals, and inputting the electric signals to the processor 501 for processing, or inputting the electric signals to the radio frequency circuit 504 for voice communication. For stereo acquisition or noise reduction purposes, a plurality of microphones may be respectively disposed at different portions of the terminal device 500. The microphone may also be an array microphone or an omni-directional pickup microphone. The speaker is used to convert electrical signals from the processor 501 or the radio frequency circuit 504 into sound waves. The speaker may be a conventional thin film speaker or a piezoelectric ceramic speaker. When the speaker is a piezoelectric ceramic speaker, not only the electric signal can be converted into a sound wave audible to humans, but also the electric signal can be converted into a sound wave inaudible to humans for ranging and other purposes. In some embodiments, audio circuitry 507 may also include a headphone jack.

The power supply 509 is used to power the various components in the terminal device 500. The power supply 509 may be an alternating current, a direct current, a disposable battery, or a rechargeable battery. When the power supply 509 comprises a rechargeable battery, the rechargeable battery may be a wired rechargeable battery or a wireless rechargeable battery. The wired rechargeable battery is a battery charged through a wired line, and the wireless rechargeable battery is a battery charged through a wireless coil. The rechargeable battery may also be used to support fast charge technology.

In some embodiments, the terminal device 500 further includes one or more sensors 510. The one or more sensors 510 include, but are not limited to: acceleration sensor 511, gyro sensor 512, pressure sensor 513, optical sensor 515, and proximity sensor 516.

The acceleration sensor 511 can detect the magnitudes of accelerations on three coordinate axes of the coordinate system established with the terminal apparatus 500. For example, the acceleration sensor 511 may be used to detect components of gravitational acceleration on three coordinate axes. The processor 501 may control the display 505 to display a user interface in a landscape view or a portrait view according to a gravitational acceleration signal acquired by the acceleration sensor 511. The acceleration sensor 511 may also be used for acquisition of motion data of a game or a user.

The gyro sensor 512 may detect the body direction and the rotation angle of the terminal device 500, and the gyro sensor 512 may collect the 3D motion of the user to the terminal device 500 in cooperation with the acceleration sensor 511. The processor 501 may implement the following functions based on the data collected by the gyro sensor 512: motion sensing (e.g., changing UI according to a tilting operation by a user), image stabilization at shooting, game control, and inertial navigation.

The pressure sensor 513 may be disposed at a side frame of the terminal device 500 and/or at a lower layer of the display 505. When the pressure sensor 513 is disposed at a side frame of the terminal device 500, a grip signal of the user to the terminal device 500 may be detected, and the processor 501 performs left-right hand recognition or quick operation according to the grip signal collected by the pressure sensor 513. When the pressure sensor 513 is disposed at the lower layer of the display screen 505, the processor 501 controls the operability control on the UI interface according to the pressure operation of the user on the display screen 505. The operability controls include at least one of a button control, a scroll bar control, an icon control, and a menu control.

The optical sensor 515 is used to collect the ambient light intensity. In one embodiment, the processor 501 may control the display brightness of the display screen 505 based on the intensity of ambient light collected by the optical sensor 515. Specifically, when the intensity of the ambient light is high, the display brightness of the display screen 505 is turned up; when the ambient light intensity is low, the display brightness of the display screen 505 is turned down. In another embodiment, the processor 501 may also dynamically adjust the shooting parameters of the camera assembly 506 based on the ambient light intensity collected by the optical sensor 515.

A proximity sensor 516, also referred to as a distance sensor, is typically provided at the front panel of the terminal device 500. The proximity sensor 516 is used to collect the distance between the user and the front face of the terminal device 500. In one embodiment, when the proximity sensor 516 detects that the distance between the user and the front face of the terminal device 500 gradually decreases, the processor 501 controls the display 505 to switch from the bright screen state to the off screen state; when the proximity sensor 516 detects that the distance between the user and the front surface of the terminal device 500 gradually increases, the processor 501 controls the display screen 505 to switch from the off-screen state to the on-screen state.

It will be appreciated by those skilled in the art that the structure shown in fig. 5 is not limiting and that the terminal device 500 may include more or fewer components than shown, or may combine certain components, or may employ a different arrangement of components.

Fig. 6 is a schematic structural diagram of a server according to an embodiment of the present application, where the server 600 may have a relatively large difference due to different configurations or performances, and may include one or more processors (Central Processing Units, CPU) 601 and one or more memories 602, where at least one program code is stored in the one or more memories 602, and the at least one program code is loaded and executed by the one or more processors 601 to implement the resource recommendation method provided in each method embodiment described above. Of course, the server 600 may also have a wired or wireless network interface, a keyboard, an input/output interface, and other components for implementing the functions of the device, which are not described herein.

In an exemplary embodiment, there is also provided a computer-readable storage medium having stored therein at least one program code loaded and executed by a processor to cause a computer to implement any of the above-described resource recommendation methods.

Alternatively, the above-mentioned computer readable storage medium may be a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a Read-Only optical disk (CD-ROM), a magnetic tape, a floppy disk, an optical data storage device, and the like.

In an exemplary embodiment, a computer program or computer program product is also provided, in which at least one computer instruction is stored, which is loaded and executed by a processor, to cause a computer to implement any of the above-mentioned resource recommendation methods.

It should be noted that, information (including but not limited to user equipment information, user personal information, etc.), data (including but not limited to data for analysis, stored data, presented data, etc.), and signals referred to in this application are all authorized by the user or are fully authorized by the parties, and the collection, use, and processing of relevant data is required to comply with relevant laws and regulations and standards of relevant countries and regions. For example, the information such as voice data and resource information referred to in the present application is acquired under the condition of sufficient authorization.

It should be understood that references herein to "a plurality" are to two or more. "and/or", describes an association relationship of an association object, and indicates that there may be three relationships, for example, a and/or B, and may indicate: a exists alone, A and B exist together, and B exists alone. The character "/" generally indicates that the context-dependent object is an "or" relationship.

The foregoing embodiment numbers of the present application are merely for describing, and do not represent advantages or disadvantages of the embodiments.

The foregoing description of the exemplary embodiments of the present application is not intended to limit the invention to the particular embodiments of the present application, but to limit the scope of the invention to any modification, equivalents, or improvements made within the principles of the present application.

Claims

1. A resource recommendation method, applied to a terminal device, in which a client for resource recommendation is installed and operated, the method comprising:

responding to triggering operation of relevant information aiming at the client side, and playing first voice data;

2. The method according to claim 1, wherein the method further comprises:

acquiring the position information of the user;

acquiring health information of the user according to the second voice data;

3. The method of claim 2, wherein the obtaining health information of the user from the second voice data comprises:

4. The method according to claim 2, wherein the resource information of the candidate resource includes a resource name of the candidate resource, description information of the candidate resource, a name of an object providing the candidate resource, and a resource value of the candidate resource;

5. The method of claim 4, wherein determining a plurality of first resources among a plurality of candidate resources based on the text feature vector and the resource feature vector for the respective candidate resource comprises:

6. The method of claim 4, wherein determining a plurality of second resources among the plurality of first resources based on the location information of the object providing each first resource and the location information of the user, comprises:

Determining a target area according to the position information of the user;

7. The method according to any one of claims 1 to 6, wherein after the playing of the third voice data, the method further comprises:

8. A resource recommendation device, the device comprising:

9. A computer device, characterized in that it comprises a processor and a memory, in which at least one program code is stored, which is loaded and executed by the processor, to cause the computer device to implement the resource recommendation method according to any of claims 1 to 7.

10. A computer readable storage medium having stored therein at least one program code, the at least one program code being loaded and executed by a processor to cause a computer to implement the resource recommendation method of any one of claims 1 to 7.