CN113330475A

CN113330475A - Information recommendation method and device, electronic equipment and storage medium

Info

Publication number: CN113330475A
Application number: CN201980089699.4A
Authority: CN
Inventors: 郭子亮
Original assignee: Guangdong Oppo Mobile Telecommunications Corp Ltd; Shenzhen Huantai Technology Co Ltd
Current assignee: Guangdong Oppo Mobile Telecommunications Corp Ltd; Shenzhen Huantai Technology Co Ltd
Priority date: 2019-05-20
Filing date: 2019-05-20
Publication date: 2021-08-31
Anticipated expiration: 2039-05-20
Also published as: WO2020232616A1

Abstract

The embodiment of the application discloses an information recommendation method and device, electronic equipment and a storage medium. The method comprises the following steps: the voice assistant starts to receive voice information after being started; after receiving voice information, identifying the received voice information; if the received voice information is recognized to include takeout related information, target takeout merchant information to be recommended is obtained, wherein the target takeout merchant information is the takeout merchant information matched with the user figure of the voice assistant binding user; and displaying a card, and displaying the target takeaway merchant information in the card. The method realizes that the user triggers and displays the relevant takeout information through voice, and the voice assistant can recommend the matched takeout merchant information to the user according to the portrait of the user, so that the user can acquire the required takeout commodities more quickly, and the user experience is greatly improved.

Description

Information recommendation method and device, electronic equipment and storage medium

Technical Field

The present application relates to the field of internet of things, and in particular, to an information recommendation method and apparatus, an electronic device, and a storage medium.

Background

With the development of the voice recognition technology, more electronic devices are provided with voice assistants to interact with users of the electronic devices, and the users can complete partial operations through the voice assistants during the interaction with the voice assistants, however, the related voice assistants are not related to the field of takeaway.

Disclosure of Invention

In view of the above problems, the present application provides an information recommendation method, apparatus, electronic device and storage medium to improve the above problems.

In a first aspect, the present application provides an information recommendation method applied to a voice assistant, where the method includes: the voice assistant starts to receive voice information after being started; after receiving voice information, identifying the received voice information; if the received voice information is recognized to include takeout related information, target takeout merchant information to be recommended is obtained, wherein the target takeout merchant information is the takeout merchant information matched with the user figure of the voice assistant binding user; and displaying a card, and displaying the target takeaway merchant information in the card.

In a second aspect, an information recommendation method, the apparatus includes: the voice information receiving unit is used for receiving voice information after the voice information processing device is started; the voice recognition unit is used for recognizing the received voice information after receiving the voice information; the takeout information acquisition unit is used for acquiring target takeout merchant information to be recommended if the received voice information is identified to include takeout related information, wherein the target takeout merchant information is the takeout merchant information matched with the user image of the voice assistant binding user; and the information display unit is used for displaying a card and displaying the target takeaway merchant information in the card.

In a third aspect, the present application provides an electronic device comprising one or more processors and a memory; one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors to perform the above-described methods.

In a fourth aspect, the present application provides a computer-readable storage medium having program code stored therein, wherein the method described above is performed when the program code is executed, and wherein control confusion can also be avoided.

According to the information recommendation method, the device, the electronic equipment and the storage medium, after the voice assistant starts to receive voice information after being started, when the voice information is received, the received voice information is identified, if the received voice information comprises takeout related information, takeout merchant information matched with user figures of the user bound by the voice assistant is obtained and used as target takeout merchant information to be recommended, a card is displayed, and the target takeout merchant information is displayed in the card. Therefore, the method realizes that the user triggers and displays the relevant takeout information through voice, the voice assistant can recommend the matched takeout merchant information to the user according to the portrait of the user, the user can obtain the required takeout commodities more quickly, the target client for taking out the commodities does not need to be started independently, and the required takeout is searched through page sliding for multiple times, so that the user experience is greatly improved.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.

Fig. 1 is a flowchart illustrating a method for processing voice information according to an embodiment of the present application;

fig. 2 is a schematic diagram illustrating a voice information collecting interface according to an embodiment of the present application;

FIG. 3 is a schematic diagram illustrating a takeaway voice setting interface provided by an embodiment of the present application;

FIG. 4 is a diagram illustrating a result of a takeaway voice setting interface according to an embodiment of the present application;

FIG. 5 is a schematic diagram illustrating a voice assistant according to an embodiment of the present application communicating with a server of a target takeout client;

FIG. 6 shows a schematic view of a card proposed by an embodiment of the present application;

FIG. 7 is a schematic diagram of a multi-card display according to an embodiment of the present application;

fig. 8 is a schematic diagram illustrating a card switching proposed in the embodiment of the present application;

FIG. 9 is a schematic diagram illustrating a card displaying merchant details according to an embodiment of the disclosure;

fig. 10 is a flowchart illustrating a voice information processing method according to another embodiment of the present application;

fig. 11 is a flowchart illustrating a voice information processing method according to still another embodiment of the present application;

fig. 12 is a block diagram showing a configuration of a speech information processing apparatus according to an embodiment of the present application;

fig. 13 is a block diagram showing a configuration of a speech information processing apparatus according to another embodiment of the present application;

fig. 14 is a block diagram showing a configuration of a speech information processing apparatus according to still another embodiment of the present application;

fig. 15 is a block diagram showing a configuration of an electronic device of the present application for executing a voice information processing method according to an embodiment of the present application;

fig. 16 is a storage unit for storing or carrying program codes for implementing a voice information processing method according to an embodiment of the present application.

Detailed Description

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

With the development of speech recognition technology, electronic devices like smart phones, tablet computers, and computers are equipped with intelligent speech assistants. Such as apple Siri, samsung Bixby, Google Assistant, Amazon Alex, and the like. The voice assistant can be regarded as an intelligent application, and a user can intelligently interact with the instant question and answer through an intelligent conversation with the voice assistant, so that the voice assistant can help the user solve some practical problems or replace the user to operate the electronic equipment.

For example, in a related scenario, when the voice assistant of the electronic device detects that the user inputs "help me open the Baidu map", the electronic device may recognize that the user intends to use the application of the Baidu map, and may start the Baidu map launch. In another related scenario, when the voice assistant of the electronic device detects that the user inputs "where parking lot is nearby", the electronic device may recognize that the user desires to find a parking lot within a certain range, and then the electronic device may perform a search for a parking lot based on the location and present the search result.

However, the inventor has found that, in research on a voice assistant, the related voice assistant cannot well recognize the semantics of the takeaway related information input by the user, or cannot bring a better user experience to the user even if the voice assistant can respond to the takeaway related information. For example, in one approach, the relevant voice assistant, upon recognizing that the user enters point take-away or take-away, either performs a search for resources in a search engine-like manner using "point take-away" or "take-away" as a keyword, and then displays the searched text material, or may search directly for nearby restaurants for presentation. However, the inventor finds that the response of the relevant voice assistant to the takeout related information is not the true intention of the user, and thus the experience of the user cannot be improved and the actual requirement of the user cannot be met. Moreover, the inventor also finds that in the process of taking an order by directly adopting relevant take-out software, the user needs to repeatedly slide the page for many times to find the needed commodity, and further the user experience is poor.

Therefore, the inventors propose a voice information processing method, apparatus, electronic device, and storage medium in the present application that can improve the above-described problems. The method provided by the embodiment of the application can realize that the user triggers and displays the relevant information of take-out through voice, and can directly complete the order placing operation in the voice assistant, so that the target client for taking-out is not required to be independently started, and then the required take-out is searched through page sliding for many times, thereby greatly improving the user experience. Moreover, the method realizes that the user triggers and displays the relevant takeout information through voice, and the voice assistant can recommend the matched takeout merchant information to the user according to the figure of the user, so that the user can acquire the required takeout commodities more quickly.

Embodiments of the present application will be described in detail below with reference to the accompanying drawings.

Referring to fig. 1, an information recommendation method provided in an embodiment of the present application is applied to a language assistant, and the method includes:

step S110: the voice assistant begins receiving voice information after being started.

It is to be appreciated, among other things, that the voice assistant can be an application program that runs independently on the electronic device. Or may be a component configured in an application. During the use process of the user, the user can trigger the voice assistant to start by touching a physical key of the electronic device, and can also trigger the voice assistant to start by touching a virtual key displayed by the electronic device.

For example, as one mode, in a case that the electronic device is provided with a HOME key, the electronic device may configure the associated target application or a certain component in the target application as a voice assistant in a case that a long press of the HOME key or a double press of the HOME key is configured in advance to trigger the associated target application to start, or a long press of the HOME key or a double press of the HOME key triggers a certain component in the associated target application to start, so that a long press of the HOME key or a double press of the HOME key triggers the voice assistant to start.

Alternatively, the electronic device may be configured with a touch-sensitive display screen, and then the electronic device may be configured with a portal in a desktop or some application of the system that triggers the voice assistant to start. In the case where the desktop configures the voice assistant portal, the portal may be a desktop application icon, known as a voice assistant, and in the case where a portal is configured in an application that triggers the voice assistant to launch, the portal may be a control, such as a text control or a button control, known as a voice assistant.

When the voice assistant is started, the electronic device may display an interface as shown in fig. 2, and after the interface is displayed, the electronic device may trigger a microphone or other physical voice capturing element configured to start capturing sound, so that the started voice assistant may obtain the captured voice information.

Step S120: and after receiving the voice information, identifying the received voice information.

It can be understood that, for the voice information received by the voice assistant to be a voice signal, the voice assistant needs to convert the voice information in the form of voice signal into the voice information in the form of text, and this conversion process is a process of recognizing the received voice information.

In the embodiment of the present application, the voice assistant has a plurality of ways to recognize the received voice information.

As one way, an API (Application Programming Interface) of the third-party speech recognition system may be configured in advance, and in this way, the speech assistant may transmit the sound signal to be recognized to the third party for recognition based on the preconfigured API of the third-party speech recognition system, and then receive the speech information in the form of text returned by the third party. For example, the API of a third party speech recognition system provided by Microsoft or Google may be employed.

Alternatively, the neural network model may be trained in advance to obtain a model having speech information in the form of an acoustic signal converted into speech information in the form of a text. And then deploying the trained model in a designated server or service cluster, so that the voice assistant can transmit the received voice information in the form of sound signals to the server or service cluster for recognition in the process of recognizing the received voice information, and then receiving the recognized voice information in the form of text returned by the server or service cluster.

In yet another approach, the voice assistant may make a real-time selection between calling the API of the third-party speech recognition system for recognition and transmitting to a designated server or service cluster for recognition, in order to enhance recognition flexibility.

In this manner, the voice assistant may optionally determine what form of recognition to perform based on the current network state. It can be understood that the communication process is more stable when the mobile communication base station is directly accessed to the network through the WIFI hotspot than when the mobile communication base station is accessed to the network, so that the voice assistant can call the API of the third-party voice recognition system to perform recognition when recognizing that the network is currently accessed through the WIFI mode, and transmit the recognition to a designated server or service cluster when recognizing that the network is currently accessed through the mobile communication base station.

Moreover, the voice assistant can also switch the recognition mode according to the recognition success rate. It can be understood that different users have different pronunciation habits or speaking manners, and even for the same recognition manner, different recognition results can be generated due to the pronunciation habits or speaking manners of the users. In this case, the voice assistant may switch the recognition mode according to the user's own habits and the success rate of the combined recognition. The voice assistant may determine that the recognition fails when detecting that the user repeatedly recognizes similar sound signals. The voice assistant may switch to another recognition mode after recognizing that a specified number of failures occurred with one recognition mode. For example, if the voice assistant starts to call the API of the third-party voice recognition system for recognition and detects that three similar voice signals are recognized consecutively (the specified number of times is 3), it is determined to switch to transmitting the voice signals to the server or the service cluster for recognition. It should be noted that, similar sound signals can be determined by determining the error energy of two sound signals.

Step S130: and if the received voice information is identified not to include the takeout related information, ending the current process.

Step S131: and if the received voice information is recognized to include takeout related information, acquiring target takeout merchant information to be recommended, wherein the target takeout merchant information is the takeout merchant information matched with the user portrait of the voice assistant binding user.

Wherein the takeaway-related information comprises: i focus on take-out, point take-out or take-out.

It is understood that the voice assistant is triggered to acquire the information of the takeaway merchant after recognizing some specific information, for example, the information of the target takeaway merchant to be recommended. And the specific information includes take-away related information which may include "i'm point take-away", "point take-away", or "take-away", etc. In this way, when the voice assistant recognizes that the received voice information includes takeout related information, it is determined that the user wishes to take out, and then the target takeout merchant information to be recommended is obtained.

There are various ways to configure the takeout-related information.

As one approach, several common takeaway related information that is statistically derived may be configured by default at the time of voice assistant installation. For example, the aforementioned "my point take away", "point take away", or "take away", etc.

In addition, as another mode, the configuration can be carried out by the user according to the requirement of the user. As user demands change, more users desire to control electronic devices in a more personalized manner. For example, some users like to say "i eat at a point" or like to say "i hungry", etc., then the configuration of take-away related information by the user may be configured in order to allow the voice assistant to adapt to users with different language expression habits.

For example, as shown in fig. 3, a takeaway language setting interface 98 shown in fig. 3 includes a takeaway related information adding control 97 and a presentation control 96 to which takeaway related information has been added. And further new takeaway related information can be added after the user clicks the takeaway related information adding control 97. And besides the text addition, the audio addition can be simultaneously added in the form of a sound signal. For example, when the user clicks the takeaway-related-information adding control 97 to trigger the user to enter the takeaway-related information in the form of sound, for example, after the user inputs "i eat", the sound signal corresponding to "i eat" is stored at the same time after the display control 96 of the takeaway-related information displays "i eat" in the form of text. In this way, after the language assistant receives the voice information, in order to improve the final feedback effect, the received voice signal and the pre-stored voice signal may be directly compared, and it can be understood that, in the process of comparing the voice signals, the foregoing method similar to the comparison signal may be adopted to determine whether the received voice signal and the pre-stored voice signal are similar to each other, and if so, the information of the vendor merchant may be directly obtained without performing subsequent language-to-text conversion recognition.

In the embodiment of the application, the language assistant has multiple ways to acquire the information of the target takeout merchant to be recommended.

As one approach, the language assistant may obtain the target takeaway merchant information to be recommended based on a data interface with the target takeaway client. In this way, the language assistant sends an information acquisition request to the target takeout client, where the information acquisition request is used to trigger the target takeout client to acquire target takeout merchant information to be recommended according to a specified rule; and receiving the target takeout merchant information to be recommended returned by the target client. As shown in fig. 5, in this manner, the voice assistant may first send an information acquisition request to the target takeout client through the communication channel 95, and the target takeout client may first query whether there is cached takeout merchant information locally, and if there is takeout merchant information locally, the information is directly returned to the voice assistant, and if no cached takeout merchant information is detected, the request for the takeout merchant information is sent to the server through the communication channel 94, and then the request is returned to the language assistant through the communication channel 94 and the communication channel 95 in sequence. It will be appreciated that the targeted take-away client herein is a client that can be used to independently complete take-away order generation and placement. Similar to a meio takeaway client or hungry client.

As another mode, an information acquisition request is sent to a server corresponding to a target takeout client, wherein the information acquisition request is used for triggering the server to acquire takeout merchant information according to a specified rule;

and receiving the target takeout merchant information to be recommended returned by the server. For example, referring to fig. 5 again, in this way, the voice assistant directly sends the information acquisition request to the server through the communication channel 93, and then the target takeaway merchant information to be recommended is still returned to the voice assistant through the communication channel 93.

In another mode, the language assistant can forward the information acquisition request to the server through the target takeout client, and the server directly returns the information of the target takeout merchant to be recommended to the voice assistant without conversion through the target takeout client, so that the information transmission rate is improved. It will be appreciated that the application is distinguished for devices other than the electronic device where the voice assistant is located by the port number occupied by the application. For example, if the browser client occupies the 80 port and the voice assistant occupies the 8080 port, the electronic device will know that the information is returned to the voice assistant if the returned information is directed to the 8080 port. In this way, the voice assistant adds the port number occupied by the voice assistant in the request for obtaining the generated information, and then when the server generates the returned information, the port number of the voice assistant is added in the returned information, so that the information can be directly sent to the voice assistant.

It should be noted that the target takeout merchant information to be recommended in this embodiment may include takeout merchant information of a takeout merchant closest to the current location of the user, which is obtained based on multiple dimensions, may also be takeout merchant information of several takeout merchants whose distribution ranges are matched with the user and whose popularity is high, may also be takeout merchant information of a takeout merchant directly adapting to a product ordered by the user in history, and may also be takeout merchant information obtained by mixing the rules. In this embodiment, what specific rule is not specifically limited, and may be one or a mixture of more of the above rules. The adopted predetermined rule may be replaced periodically.

Step S140: and displaying a card, and displaying the target takeaway merchant information in the card.

After obtaining the target takeaway merchant information to be recommended, the target takeaway merchant information may be displayed in a card 92 as shown in fig. 6. The target takeaway merchant information may include a merchant name, rating information, a sales volume pickup price, a commodity type, and the like of the takeaway merchant. In addition, some high-volume or special commodities can be directly included in the information of the selling merchants.

Of course, as one approach, the voice assistant may detect the amount of the targeted take-away merchant information; and if the number of the target takeout merchant information is detected to be multiple, displaying a plurality of cards, wherein each card correspondingly displays one target takeout merchant information. For example, as shown in fig. 7, in the case where 3 takeaway merchant information are recognized, 3

cards

92a, 92b, and 92c may be respectively displayed to respectively display the 3 target takeaway merchant information. In addition, if it is recognized that the amount of the target takeout merchant information cannot be directly displayed in the same interface, only part of the target takeout merchant information may be displayed, and then after it is detected that the user slides towards the upper side of the screen, more merchant information is loaded for display, and meanwhile, part of the target takeout merchant information which has been displayed before is hidden. For example, in the interface shown in fig. 8, when it is detected that the user slides the screen in the direction indicated by the arrow, the card 92a that is arranged closest to the direction indicated by the arrow is hidden, and a new card 92e is loaded for display.

It is to be understood that the step of displaying the card and displaying the target takeaway merchant information in the card further comprises: acquiring the take-out merchant information to be ordered determined from the target take-out merchant information; and generating an order based on the information of the takeout merchant to be ordered.

After the information of the target take-out merchant is displayed, the user can further control, so that the voice assistant can display more information, and the user can conveniently select the needed commodities to place orders.

As one mode, after obtaining the target merchant information selected by the user, the voice assistant may send the selected target merchant information to the target client, where the selected target merchant information is used to trigger the target client to generate order information and display the generated order information. It can be understood that, in this way, the voice assistant will trigger the target client to switch to the foreground display, and will trigger the target client to generate order information and display the generated order information. Of course, after the order is generated, the method may further include: and after the order payment is detected, sending the order to a server of a target client, and receiving the order execution condition returned by the server. In the payment process, the voice assistant supports to call a third-party payment service provider to pay, for example, WeChat payment or Paibao payment, and also supports to call a payment server configured corresponding to the voice assistant to pay.

For example, as one mode, after a specific touch operation acting on the card is detected, detailed information of the target takeout merchant is displayed, where the detailed information includes commodity information of the target takeout merchant. Optionally, after a sliding operation along a specified direction is detected, the detailed information of the takeaway merchant is displayed on the card. For example, as shown in fig. 9, when the voice assistant detects a slide operation in the direction indicated by the arrow on the card 92a, information such as a specific product a, a specific product B, and a specific product C shown in the right side drawing can be displayed. Then in this manner, the step of generating an order based on the target merchant information determined to be selected from the target takeaway merchant information comprises: generating an order based on the selected target commodity information determined from the commodity information of the target merchant.

According to the information recommendation method, after the voice assistant starts to receive voice information after being started, when the voice information is received, the received voice information is identified, if the received voice information comprises takeout related information, takeaway merchant information matched with user figures of the user bound by the voice assistant is obtained and serves as target takeaway merchant information to be recommended, a card is displayed, and the target takeaway merchant information is displayed in the card. Therefore, the method realizes that the user triggers and displays the relevant takeout information through voice, the voice assistant can recommend the matched takeout merchant information to the user according to the portrait of the user, the user can obtain the required takeout commodities more quickly, the target client for taking out the commodities does not need to be started independently, and the required takeout is searched through page sliding for multiple times, so that the user experience is greatly improved.

Referring to fig. 10, an information recommendation method provided in an embodiment of the present application is applied to a language assistant, and the method includes:

step S210: the voice assistant begins receiving voice information after being started.

Step S220: and after receiving the voice information, identifying the received voice information.

Step S230: and if the received voice information does not comprise the takeout related information, ending the current process.

Step S231: if the received voice information is identified to include takeout related information, acquiring stored user portrait parameters obtained through pre-calculation, wherein the user portrait parameters represent the category of the interested commodity of the user; and acquiring corresponding take-out merchant information as target take-out merchant information to be recommended based on the user portrait parameters.

It is understood that during the process of using the electronic device, the user may use the electronic device to access the internet, or use media such as a music player, or browse news through a news client, or make online purchases through a shopping client, etc. This operation behavior for the user may reflect some personal preferences of the user. For example, if it is detected that the user frequently purchases discounted goods at the shopping client, it can be determined that the user compares the prices of the items to some extent, and then when recommending a takeaway merchant, the discounted takeaway goods are recommended as much as possible, which is beneficial to the user to improve the recommendation conversion rate. For another example, if the user often browses some articles recommended by classical gourmet, it can be determined that the user has a high top demand for diet, and then some featured and high-quality takeaway products can be recommended to the user.

Based on the above situation, as a manner, before step S230, the method may further include: periodically acquiring historical operation behaviors of the voice assistant bound with the user; and calculating an interest category matched with the user as a user portrait parameter based on the historical operation behavior of the user.

Specifically, as one mode, the step of calculating an interest category matched with the user as the user portrait parameter based on the user historical operation behavior includes:

and acquiring a target behavior dimension corresponding to the user historical operation in the plurality of behavior dimensions.

Optionally, the plurality of behavior dimensions includes at least two of a media access dimension, a news dimension, a consumption record dimension, and a web browsing dimension. It will be appreciated that in this embodiment, the voice assistant may monitor and identify each activity of the user. For example, after detecting that the user purchases a discounted commodity operation behavior, the target behavior dimension is determined to be a consumption record dimension. For another example, when it is detected that the user opens a webpage titled "classic food recommendation", the target behavior dimension is determined to be a webpage browsing dimension.

Optionally, the plurality of interest categories corresponding to each behavior dimension are the same. Specifically, the plurality of interest categories corresponding to each behavior dimension include at least two of a price category, a convenience category, and a taste preference category. Then after obtaining the target behavior dimension, the target interest category may be further obtained. The target interest category is an interest category corresponding to the user historical operation behavior in a plurality of interest categories corresponding to the target behavior dimension. For example, after detecting that the user purchases a discounted commodity operation behavior, the target behavior dimension is determined as the consumption record dimension, and the target interest category is further determined as the price category. For another example, after detecting that the user opens a webpage titled "classic food recommendation", the target behavior dimension is determined as not only a webpage browsing dimension, but also a target interest category is further determined as a taste preference category.

Increasing the score of the target interest category.

It will be appreciated that multiple interest categories for each behavioral dimension may correspond to configured scores, wherein higher scores characterize increasing attention of the user. Then after determining the target interest category corresponding to the current operation behavior, the score of the target interest category may be increased. For example, the increase may be 1 point or 2 points per time.

And calculating the interest category matched with the user as the user portrait parameter based on the scores of the interest categories corresponding to each behavior dimension.

The language assistant may start to calculate the interest category matched with the user as the user profile parameter after adding the score of one interest category of a certain dimension, or may periodically calculate the interest category matched with the user as the user profile parameter.

In the calculation process, as one mode, the step of calculating, based on the scores of the interest categories corresponding to each behavior dimension, an interest category matched with the user as a user portrait parameter includes: calculating to obtain a plurality of intermediate values of each interest category, wherein the intermediate values are values obtained by multiplying scores of the same interest category in a plurality of behavior dimensions by weights of the behavior dimensions; summing the plurality of intermediate values of each interest category to obtain a total score value of each interest category; ordering the interest categories meeting the target conditions according to the total score value as interest categories matched with the user; and taking the interest category matched with the user as a user portrait parameter.

The above will be described by way of an example.

For example, in a certain computational process, the behavioral dimensions include a web browsing dimension, a news dimension, and a consumption record dimension. Each behavior dimension corresponds to several interest categories, namely a price category, a convenience category and a taste preference category.

Wherein, the weight of the webpage browsing dimension is 0.5, the weight of the news dimension is 0.2, and the weight of the consumption record dimension is 0.3. And the scores of the interest categories for each dimension are shown in the table below.

Then the median values of the price classes including 0.5, 0.4 and 1.5 can be calculated to give a total score of 2.4 for the price class. And calculating to obtain intermediate value packages 0.5, 0.6 and 0.9 of the convenience class, and further obtaining that the total score value of the convenience class is 2.0. And calculating to obtain intermediate value packages of 0.5, 0.8 and 0.6 of the taste preference class, and further obtaining a total score value of 1.9 of the convenience class. Then, in the case that the target condition is that the top 2 ranked interest categories are taken as the interest categories matched with the user, the interest categories matched with the user can be calculated to include a price category and a convenience category.

Step S240: and displaying a card, and displaying the target takeaway merchant information in the card.

It should be noted that in some cases, users have certain tendencies in taking out using the voice assistant point, and the tendencies are directly used as a reference for recommendation. For example, if it is recognized that "i want to sell a cheap take out" is included in the received voice message, it can be determined that the user tends to sell a cheap take out, and the voice assistant may not be used to calculate a category matching the user based on the interest category of "cheap category". In this embodiment, as a mode, if it is identified that the takeaway related information includes a specified interest category, configuring the plurality of interest categories to exclude the specified interest category; the step of ordering the interest categories meeting the target condition with the total score value as the interest categories matched with the user comprises the following steps: and ordering the interest categories meeting the target conditions and the specified interest categories according to the total score value as the interest categories matched with the user.

In this embodiment, as a mode, the method further includes: acquiring a behavior dimension to be processed, wherein the behavior dimension to be processed is a behavior dimension which does not have corresponding historical operation behaviors in a plurality of periods; deleting the behavior dimension to be processed from the behavior dimensions, and correspondingly adjusting the weights of the remaining behavior dimensions in the behavior dimensions so as to enable the sum of the weights of the remaining behavior dimensions to be 1.

In this embodiment, as a mode, the method further includes: obtaining an interest category to be processed, wherein the interest category to be processed is an interest category of which the total score value ordering does not meet the target condition in a plurality of periods; deleting the interest category to be processed from the plurality of interest categories.

According to the information recommendation method, the user can trigger and display relevant takeout information through voice, the voice assistant can recommend matched takeout merchant information to the user according to the portrait of the user, the user can obtain required takeout commodities more quickly, a target client for taking out commodities does not need to be started independently, and then required takeout commodities are searched through page sliding for multiple times, so that user experience is greatly improved. In the process of matching the target takeout merchant information based on the user portrait, the target takeout merchant information of the matched user is calculated based on multiple dimensions and multiple interest categories corresponding to the dimensions, so that the recommendation accuracy and the matching degree are improved, and the user experience is greatly improved.

Referring to fig. 11, an information recommendation method provided in an embodiment of the present application is applied to a language assistant, and the method includes:

step S310: the voice assistant begins receiving voice information after being started.

Step S320: and after receiving the voice information, identifying the received voice information.

Step S321: and if the received voice information does not comprise the takeout related information, ending the current process.

Step S331: and if the received voice information is identified to include takeout related information, identifying whether the takeout related information includes mode information about a preset takeout mode.

Step S340: and if the identification comprises pre-configured mode information, acquiring commodity information of the merchant corresponding to the mode information.

As a mode, if the mode information is identified as a favorite mode, obtaining favorite commodity information in favorite merchants configured by a user; if the mode information is identified to be the latest mode, acquiring the information of the takeout commercial tenant and the takeout commodity which are placed by the user for the latest time; and if the mode information is identified to be the most modes, acquiring the information of the takeout commercial tenants and the takeout commodities which are most ordered by the user.

Step S350: and generating an order based on the commodity information of the merchant corresponding to the mode information.

As one mode, the step of generating an order based on the commodity information of the merchant corresponding to the mode information includes: displaying commodity information of a merchant corresponding to the mode information; and if the voice information for ordering is identified, generating an order based on the commodity information of the merchant corresponding to the mode information.

In one mode, after the voice assistant acquires the commodity information of the merchant corresponding to the mode information, the voice assistant may directly generate an order based on the acquired commodity information.

As another mode, after the commodity information of the merchant corresponding to the mode information is obtained, the commodity information of the merchant corresponding to the mode information may be displayed first, and if the voice information for ordering confirmation is identified, an order is generated based on the commodity information of the merchant corresponding to the mode information. For example, if the voice assistant recognizes that the user says "my point is the favorite take-out", the voice assistant recognizes that the mode information of "favorite" exists, or directly acquires the preconfigured favorite commodities to generate the order. Of course, in another mode, after recognizing that the mode information of "like the best" exists, the voice assistant may display the product corresponding to the mode information of "like the best" in the form of the aforementioned card, and then recognize that the semantics of similar confirmation, such as "get the order" or "just this", and then generate the order based on the product information of the merchant corresponding to the mode information.

Further, for example, if the voice assistant recognizes that the user says "take out the same as last time," the voice assistant may recognize that the pattern information is the last time, and may generate an order directly according to the last item placed.

Step S360: and if the takeout related information is identified not to include the pre-configured mode information, acquiring target takeout merchant information to be recommended, wherein the target takeout merchant information is the takeout merchant information matched with the user portrait of the voice assistant binding user.

Step S370: and displaying a card, and displaying the target takeaway merchant information in the card.

According to the information recommendation method, the user can trigger and display relevant takeout information through voice, the voice assistant can recommend matched takeout merchant information to the user according to the portrait of the user, the user can obtain required takeout commodities more quickly, a target client for taking out commodities does not need to be started independently, and then required takeout commodities are searched through page sliding for multiple times, so that user experience is greatly improved. And meanwhile, based on the pre-configured mode information, the commodity information of the merchant corresponding to the mode information is acquired as the target takeout merchant information to be recommended, so that the recommendation flexibility can be enhanced.

Referring to fig. 12, an information recommendation apparatus 400 according to an embodiment of the present application includes:

a voice message receiving unit 410, configured to receive voice messages after the voice message processing apparatus is started.

The voice recognition unit 420 is configured to, after receiving the voice information, recognize the received voice information.

A takeout information obtaining unit 430, configured to obtain target takeout merchant information to be recommended if it is recognized that the received voice information includes takeout related information, where the target takeout merchant information is taken out merchant information that matches the user representation of the user bound to the voice assistant.

And an information display unit 440, configured to display a card, and display the target takeaway merchant information in the card.

In one aspect, the information display unit 440 is specifically configured to identify that the user representation parameter represents a plurality of interest categories of the user; and displaying a plurality of cards, wherein each card displays the target takeout merchant information corresponding to one interest category.

As one mode, the takeout information acquiring unit 430 is specifically configured to acquire a stored user portrait parameter obtained through pre-calculation, where the user portrait parameter represents a category of an interested commodity of a user; and acquiring corresponding take-out merchant information as target take-out merchant information to be recommended based on the user portrait parameters.

As shown in FIG. 13, the apparatus 400 further includes a user profile calculation unit 450 for periodically obtaining the historical operating behavior of the voice assistant bound user; and calculating an interest category matched with the user as a user portrait parameter based on the historical operation behavior of the user.

The portrait calculation unit 450 is specifically configured to obtain a target behavior dimension corresponding to the user historical operation from among a plurality of behavior dimensions; obtaining a target interest category, wherein the target interest category is an interest category corresponding to the user historical operation behavior in a plurality of interest categories corresponding to the target behavior dimension, and the plurality of interest categories corresponding to each behavior dimension are the same; increasing the score of the target interest category;

The portrait calculation unit 450 is specifically configured to calculate a plurality of intermediate values of each interest category, where the intermediate values are values obtained by multiplying scores of the same interest category in a plurality of behavior dimensions by weights of the behavior dimensions; summing the plurality of intermediate values of each interest category to obtain a total score value of each interest category;

ordering the interest categories meeting the target conditions according to the total score value as interest categories matched with the user; and taking the interest category matched with the user as a user portrait parameter.

Wherein the plurality of behavioral dimensions includes at least two of a media access dimension, a news dimension, a consumption recording dimension, and a web browsing dimension. The plurality of interest categories includes at least two of a price category, a convenience category, and a taste preference category.

As one mode, the portrait calculation unit 450 is specifically configured to, if it is recognized that the takeaway related information includes a specified interest category, configure the plurality of interest categories to exclude the specified interest category; the step of sorting the interest categories satisfying the target condition by the total score value as the interest categories matched with the user includes: and ordering the interest categories meeting the target conditions and the specified interest categories according to the total score value as the interest categories matched with the user.

As a manner, the portrait calculation unit 450 is specifically configured to obtain a to-be-processed behavior dimension, where the to-be-processed behavior dimension is a behavior dimension in which there is no corresponding historical operation behavior in a plurality of periods; deleting the behavior dimension to be processed from the behavior dimensions, and correspondingly adjusting the weights of the remaining behavior dimensions in the behavior dimensions so as to enable the sum of the weights of the remaining behavior dimensions to be 1.

As a manner, the portrait calculation unit 450 is specifically configured to obtain an interest category to be processed, where the interest category to be processed is an interest category for which the total score value ranking in a plurality of periods does not satisfy the target condition; deleting the interest category to be processed from the plurality of interest categories.

As shown in fig. 14, the apparatus 400 further includes an information detecting unit 460 and an order generating unit 470. The information detecting unit 460 is configured to identify whether the takeout-related information includes mode information about a preconfigured takeout mode, and if the takeout-related information includes the preconfigured mode information, obtain commodity information of a merchant corresponding to the mode information. The order generating unit 470 is configured to generate an order based on the commodity information of the merchant corresponding to the mode information; and if the takeout related information does not comprise the preset mode information, executing the acquisition of the target takeout merchant information to be recommended. Optionally, the information detecting unit 460 is specifically configured to, if the mode information is identified as a favorite mode, obtain favorite commodity information in favorite merchants configured by the user; if the mode information is identified to be the latest mode, acquiring the information of the takeout commercial tenant and the takeout commodity which are placed by the user for the latest time; and if the mode information is identified to be the most modes, acquiring the information of the takeout commercial tenants and the takeout commodities which are most ordered by the user.

An order generating unit 470, specifically configured to display the commodity information of the merchant corresponding to the mode information;

and if the voice information for ordering is identified, generating an order based on the commodity information of the merchant corresponding to the mode information. The order generating unit 470 is further configured to obtain the takeout merchant information to be placed, which is determined from the target takeout merchant information; and generating an order based on the information of the takeout merchant to be ordered.

In one mode, the takeout information obtaining unit 430 is specifically configured to send a target takeout merchant information obtaining request to be recommended to a server of a target client, and receive target takeout merchant information to be recommended returned by the server. In this manner, as shown in fig. 14, the apparatus 400 further includes an order processing unit 480, configured to send the order to the server after detecting that the order is paid, and receive an order execution condition returned by the server.

It should be noted that the device embodiment and the method embodiment in the present application correspond to each other, and specific principles in the device embodiment may refer to the contents in the method embodiment, which is not described herein again.

An electronic device provided by the present application will be described below with reference to fig. 15.

Referring to fig. 15, based on the information recommendation method and apparatus, another electronic device 200 capable of executing the information recommendation method is further provided in the embodiment of the present application. The electronic device 200 includes one or more processors 102 (only one shown), memory 104, and network module 106 coupled to each other. The memory 104 stores programs that can execute the content of the foregoing embodiments, and the processor 102 can execute the programs stored in the memory 104.

Processor 102 may include one or more processing cores, among other things. The processor 102 interfaces with various components throughout the electronic device 200 using various interfaces and circuitry to perform various functions of the electronic device 200 and process data by executing or executing instructions, programs, code sets, or instruction sets stored in the memory 104 and invoking data stored in the memory 104. Alternatively, the processor 102 may be implemented in hardware using at least one of Digital Signal Processing (DSP), Field-Programmable Gate Array (FPGA), and Programmable Logic Array (PLA). The processor 102 may integrate one or more of a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), a modem, and the like. Wherein, the CPU mainly processes an operating system, a user interface, an application program and the like; the GPU is used for rendering and drawing display content; the modem is used to handle wireless communications. It is understood that the modem may not be integrated into the processor 102, but may be implemented by a communication chip.

The Memory 104 may include a Random Access Memory (RAM) or a Read-Only Memory (Read-Only Memory). The memory 104 may be used to store instructions, programs, code sets, or instruction sets. The memory 104 may include a stored program area and a stored data area, wherein the stored program area may store instructions for implementing an operating system, instructions for implementing at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing various method embodiments described below, and the like. The storage data area may also store data created by the terminal 100 in use, such as a phonebook, audio-video data, chat log data, and the like.

The network module 106 is configured to receive and transmit electromagnetic waves, and implement interconversion between the electromagnetic waves and electrical signals, so as to communicate with a communication network or other devices, for example, an audio playing device. The network module 106 may include various existing circuit elements for performing these functions, such as an antenna, a radio frequency transceiver, a digital signal processor, an encryption/decryption chip, a Subscriber Identity Module (SIM) card, memory, and so forth. The network module 106 may communicate with various networks, such as the internet, an intranet, a wireless network, or with other devices via a wireless network. The wireless network may comprise a cellular telephone network, a wireless local area network, or a metropolitan area network. For example, the network module 106 may interact with a base station.

Referring to fig. 16, a block diagram of a computer-readable storage medium according to an embodiment of the present application is shown. The computer-readable medium 1100 has stored therein program code that can be called by a processor to perform the method described in the above-described method embodiments.

The computer-readable storage medium 1100 may be an electronic memory such as a flash memory, an EEPROM (electrically erasable programmable read only memory), an EPROM, a hard disk, or a ROM. Alternatively, the computer-readable storage medium 1100 includes a non-volatile computer-readable storage medium. The computer readable storage medium 1100 has storage space for program code 810 to perform any of the method steps of the method described above. The program code can be read from or written to one or more computer program products. The program code 1110 may be compressed, for example, in a suitable form.

Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit the same; although the present application has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not necessarily depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.

Claims

An information recommendation method applied to a voice assistant, the method comprising:

the voice assistant starts to receive voice information after being started;

after receiving voice information, identifying the received voice information;

if the received voice information is recognized to include takeout related information, target takeout merchant information to be recommended is obtained, wherein the target takeout merchant information is the takeout merchant information matched with the user figure of the voice assistant binding user;

and displaying a card, and displaying the target takeaway merchant information in the card.
The method of claim 1, wherein the step of obtaining target takeaway merchant information to be recommended comprises:

acquiring stored user portrait parameters obtained through pre-calculation, wherein the user portrait parameters represent the categories of interested commodities of a user;

and acquiring corresponding take-out merchant information as target take-out merchant information to be recommended based on the user portrait parameters.
The method of claim 2, wherein said step of obtaining stored pre-computed user representation parameters is preceded by the step of:

periodically acquiring historical operation behaviors of the voice assistant bound with the user;

and calculating an interest category matched with the user as a user portrait parameter based on the historical operation behavior of the user.
The method of claim 3, wherein the step of calculating the interest category matching the user as the user profile parameter based on the historical user operation behavior comprises:

acquiring a target behavior dimension corresponding to the user historical operation in a plurality of behavior dimensions;

obtaining a target interest category, wherein the target interest category is an interest category corresponding to the user historical operation behavior in a plurality of interest categories corresponding to the target behavior dimension, and the plurality of interest categories corresponding to each behavior dimension are the same;

increasing the score of the target interest category;

and calculating the interest category matched with the user as the user portrait parameter based on the scores of the interest categories corresponding to each behavior dimension.
The method of claim 4, wherein the step of calculating the interest category matching the user as the user profile parameter based on the scores of the interest categories corresponding to each behavior dimension comprises:

calculating to obtain a plurality of intermediate values of each interest category, wherein the intermediate values are values obtained by multiplying scores of the same interest category in a plurality of behavior dimensions by weights of the behavior dimensions;

summing the plurality of intermediate values of each interest category to obtain a total score value of each interest category;

ordering the interest categories meeting the target conditions according to the total score value as interest categories matched with the user;

and taking the interest category matched with the user as a user portrait parameter.
The method of claim 4 or 5, wherein the plurality of behavioral dimensions includes at least two of a media access dimension, a news dimension, a consumption recording dimension, and a web browsing dimension.
The method of claim 4 or 5, wherein the plurality of interest categories comprises at least two of a price category, a convenience category, and a taste preference category.
The method of claim 7, further comprising:

if the specified interest categories are identified to be included in the takeaway related information, configuring the plurality of interest categories to exclude the specified interest categories;

the step of ordering the interest categories meeting the target condition with the total score value as the interest categories matched with the user comprises the following steps:

and ordering the interest categories meeting the target conditions and the specified interest categories according to the total score value as the interest categories matched with the user.
The method according to claim 4 or 5, characterized in that the method further comprises:

acquiring a behavior dimension to be processed, wherein the behavior dimension to be processed is a behavior dimension which does not have corresponding historical operation behaviors in a plurality of periods;

deleting the behavior dimension to be processed from the behavior dimensions, and correspondingly adjusting the weights of the remaining behavior dimensions in the behavior dimensions so as to enable the sum of the weights of the remaining behavior dimensions to be 1.
The method of claim 9, further comprising:

obtaining an interest category to be processed, wherein the interest category to be processed is an interest category of which the total score value ordering does not meet the target condition in a plurality of periods;

deleting the interest category to be processed from the plurality of interest categories.
The method according to any one of claims 2-10, wherein the step of displaying a card and displaying the target takeaway merchant information in the card comprises:

if the user portrait parameters are identified to represent that the user has a plurality of interest categories;

and displaying a plurality of cards, wherein each card displays the target takeout merchant information corresponding to one interest category.
The method according to any one of claims 1 to 11, wherein the step of obtaining target takeaway merchant information to be recommended is preceded by the step of:

identifying whether the take-out related information includes mode information regarding a pre-configured take-out mode,

if the identification comprises pre-configured mode information, acquiring commodity information of a merchant corresponding to the mode information;

generating an order based on the commodity information of the merchant corresponding to the mode information;

and if the takeout related information does not comprise the preset mode information, executing the acquisition of the target takeout merchant information to be recommended.
The method according to claim 12, wherein if the identification includes preconfigured pattern information, the step of obtaining the merchandise information of the merchant corresponding to the pattern information includes:

if the mode information is identified to be the favorite mode, obtaining favorite commodity information in favorite merchants configured by the user;

if the mode information is identified to be the latest mode, acquiring the information of the takeout commercial tenant and the takeout commodity which are placed by the user for the latest time; and

and if the mode information is identified to be the most modes, acquiring the information of the takeout commercial tenants and the takeout commodities which are most ordered by the user.
The method of claim 12, wherein the step of generating the order based on the commodity information of the merchant corresponding to the pattern information comprises:

displaying commodity information of a merchant corresponding to the mode information;

and if the voice information for ordering is identified, generating an order based on the commodity information of the merchant corresponding to the mode information.
The method according to any one of claims 1-11, wherein the step of displaying a card and displaying the target takeaway merchant information in the card further comprises, after the step of:

acquiring the take-out merchant information to be ordered determined from the target take-out merchant information;

and generating an order based on the information of the takeout merchant to be ordered.
The method of claim 15, wherein the step of obtaining target takeaway merchant information to be recommended comprises:

sending a target takeout merchant information acquisition request to be recommended to a server of a target client, and receiving target takeout merchant information to be recommended returned by the server;

the step of generating an order based on the information of the takeaway merchant to be ordered further comprises the following steps:

and after the order payment is detected, sending the order to the server, and receiving the order execution condition returned by the server.
The method of any of claims 1-16, wherein the takeaway-related information comprises: i focus on take-out, point take-out or take-out.
An information recommendation apparatus, characterized in that the apparatus comprises:

the voice information receiving unit is used for receiving voice information after the voice information processing device is started;

the voice recognition unit is used for recognizing the received voice information after receiving the voice information;

the takeout information acquisition unit is used for acquiring target takeout merchant information to be recommended if the received voice information is recognized to include takeout related information, wherein the target takeout merchant information is the takeout merchant information matched with the user image of the voice assistant binding user;

and the information display unit is used for displaying a card and displaying the target takeaway merchant information in the card.
An electronic device comprising one or more processors and memory;

one or more programs are stored in the memory and configured to be executed by the one or more processors to implement the method of any of claims 1-17.
A computer-readable storage medium, having program code stored therein, wherein the program code when executed by a processor performs the method of any of claims 1-17.