CN117914931A - Function recommendation method and device, storage medium and electronic device - Google Patents

Abstract

The application discloses a function recommending method and device, a storage medium and an electronic device, wherein the function recommending method comprises the following steps: under the condition that voice data of a target object are obtained, carrying out semantic recognition on the voice data to obtain a semantic recognition result; determining a specified function having an association relationship with the target intention in the case that the semantic recognition result is used for indicating that the target object has the target intention; and playing recommended voice under the condition that the using frequency of the specified function used by the target object is smaller than a first preset threshold, wherein the recommended voice is used for recommending the specified function to the target object. By adopting the scheme, the problem that the designated function cannot be pushed well is solved.

Description

Function recommendation method and device, storage medium and electronic device

Technical Field

The application relates to the technical field of smart families, in particular to a function recommendation method and device, a storage medium and an electronic device.

Background

The message pushing of the intelligent home is that the intelligent home equipment can send various information and notices to the user through connecting the Internet and the mobile phone application program. Such information may include device status updates, alarm notifications, timed reminders, energy consumption statistics, and the like.

At present, a message pushing system is widely applied to various scenes, some intelligent home systems provide pushing services based on user behaviors, and the functions of pushing home service messages by collecting information of intelligent home equipment and setting preset conditions are provided, but intelligent recommendation mechanisms are lacking. Personalized recommendation cannot be performed for the use condition of the specified function, and intelligent analysis cannot be performed for the condition of the user so as to perform recommendation.

Aiming at the problem that the specified function cannot be pushed well in the related art, no effective solution is proposed yet.

Disclosure of Invention

The embodiment of the application provides a function recommending method and device, a storage medium and an electronic device, which are used for at least solving the problem that a specified function cannot be pushed well.

According to an embodiment of the present application, there is provided a function recommendation method including: under the condition that voice data of a target object are obtained, carrying out semantic recognition on the voice data to obtain a semantic recognition result; determining a specified function having an association relationship with the target intention in the case that the semantic recognition result is used for indicating that the target object has the target intention; and playing recommended voice under the condition that the using frequency of the specified function used by the target object is smaller than a first preset threshold, wherein the recommended voice is used for recommending the specified function to the target object.

In one exemplary embodiment, determining a specified function having an association with the target intention includes: obtaining a target configuration table, wherein the target configuration table records a plurality of groups of association relations which are predefined, and the association relations are the association relations of intentions and functions; and determining a designated function with an association relation with the target intention according to the target configuration table.

In an exemplary embodiment, in case that the voice data of the target object is acquired, the method further includes: voiceprint recognition is carried out on the voice data, and the age and the sex of the target object are determined; before playing the recommended speech, the method further comprises: and determining recommended voice according to the age and sex of the target object.

In an exemplary embodiment, determining recommended voices according to the age and sex of the target object includes: acquiring a recommended text, wherein the text content of the recommended text is used for recommending the specified function to the target object; determining a target expression mode according to the age and sex of the target object; and converting the recommended text according to the target expression mode to obtain the recommended voice.

In one exemplary embodiment, playing recommended voices includes: determining whether the recommended voice is broadcasted in a preset time before the current moment; and playing the recommended voice when the recommended voice is not played or the number of times of playing the recommended voice is smaller than a second preset threshold value.

In an exemplary embodiment, after determining the specified function having the association relation with the target intention, the method further includes: determining whether the frequency of use of the specified function by the target object is reduced or not under the condition that the frequency of use of the specified function by the target object is greater than or equal to a first preset threshold value; and playing the recommended voice under the condition that the use frequency is determined to be reduced.

In one exemplary embodiment, playing recommended voices includes: determining a response voice corresponding to a target operation under the condition that the voice data is used for indicating the target device to execute the target operation and the target device finishes executing the target operation; and splicing the response voice and the recommended voice to obtain and play the target voice.

According to another embodiment of the present application, there is provided a function recommendation apparatus including: the recognition module is used for carrying out semantic recognition on the voice data under the condition that the voice data of the target object are acquired, so as to obtain a semantic recognition result; a determining module, configured to determine a specified function having an association relationship with the target intention, in a case where the semantic recognition result is used to indicate that the target object has the target intention; and the playing module is used for playing recommended voice under the condition that the using frequency of the specified function used by the target object is smaller than a first preset threshold, wherein the recommended voice is used for recommending the specified function to the target object.

In an exemplary embodiment, the determining module is further configured to obtain a target configuration table, where the target configuration table records a plurality of groups of predefined association relationships, where the association relationships are association relationships between intent and functions; and determining a designated function with an association relation with the target intention according to the target configuration table.

In an exemplary embodiment, the recognition module is further configured to, in a case where voice data of a target object is acquired, perform voiceprint recognition on the voice data, and determine an age and a gender of the target object; and the playing module is also used for determining the recommended voice according to the age and the gender of the target object before playing the recommended voice.

In an exemplary embodiment, the playing module is further configured to obtain a recommendation text, where text content of the recommendation text is used to recommend the specified function to the target object; determining a target expression mode according to the age and sex of the target object; and converting the recommended text according to the target expression mode to obtain the recommended voice.

In an exemplary embodiment, the playing module is further configured to determine whether the recommended voice is broadcasted within a preset time before the current time; and playing the recommended voice when the recommended voice is not played or the number of times of playing the recommended voice is smaller than a second preset threshold value.

In an exemplary embodiment, the apparatus further comprises: a processing module, configured to determine whether a frequency of use of the specified function by the target object is reduced, where the frequency of use of the specified function by the target object is greater than or equal to a first preset threshold; and playing the recommended voice under the condition that the use frequency is determined to be reduced.

In an exemplary embodiment, the playing module is further configured to determine a response voice corresponding to the target operation when the voice data is used to instruct the target device to perform the target operation and the target device completes the target operation; and splicing the response voice and the recommended voice to obtain and play the target voice.

According to yet another embodiment of the present application, there is also provided a computer-readable storage medium having a computer program stored therein, wherein the computer program is configured to perform the above-described function recommendation method when run.

According to still another embodiment of the present application, there is provided an electronic device including a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor executes the function recommendation method described above through the computer program.

According to the application, when the target object is determined to have the target intention according to the voice data of the target object, the appointed function with the association relation with the target intention is determined, and then the appointed function is pushed according to the use frequency of the appointed function, so that the problem that the appointed function cannot be pushed well in the prior art is solved, and the aim of recommending the appointed function to a user at proper time under the condition that the use frequency of the appointed function is low is achieved, the voice active reminding is performed, and the technical effect of the use rate of the appointed function is improved.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application.

In order to more clearly illustrate the embodiments of the application or the technical solutions of the prior art, the drawings which are used in the description of the embodiments or the prior art will be briefly described, and it will be obvious to a person skilled in the art that other drawings can be obtained from these drawings without inventive effort.

FIG. 1 is a schematic diagram of a hardware environment of an alternative function recommendation method according to an embodiment of the present application;

FIG. 2 is a flow chart of an alternative function recommendation method according to an embodiment of the present application;

FIG. 3 is an alternative configuration information diagram in accordance with an embodiment of the present application;

FIG. 4 is an alternative voiceprint recognition flowchart in accordance with an embodiment of the present application;

FIG. 5 is an alternative semantic parsing flow diagram according to an embodiment of the present application;

FIG. 6 is an alternative interaction determination flow diagram in accordance with an embodiment of the present application;

FIG. 7 is an alternative flow chart of a session splice according to an embodiment of the present application;

FIG. 8 is an alternative protocol issuing flow diagram according to an embodiment of the application;

FIG. 9 is a flow chart of an alternative voice intelligent recommendation system in accordance with an embodiment of the present application;

Fig. 10 is a block diagram of an alternative function recommendation device according to an embodiment of the present application.

Detailed Description

In order that those skilled in the art will better understand the present application, a technical solution in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present application without making any inventive effort, shall fall within the scope of the present application.

It should be noted that the terms "first," "second," and the like in the description and the claims of the present application and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the application described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

According to an aspect of an embodiment of the present application, there is provided a function recommendation method. The function recommendation method is widely applied to full-house intelligent digital control application scenes such as intelligent Home (Smart Home), intelligent Home equipment ecology, intelligent Home (INTELLIGENCE HOUSE) ecology and the like. Alternatively, in the present embodiment, the above-described function recommendation method may be applied to a hardware environment constituted by the terminal device 102 and the server 104 as shown in fig. 1. As shown in fig. 1, the server 104 is connected to the terminal device 102 through a network, and may be used to provide services (such as application services and the like) for a terminal or a client installed on the terminal, a database may be set on the server or independent of the server, for providing data storage services for the server 104, and cloud computing and/or edge computing services may be configured on the server or independent of the server, for providing data computing services for the server 104.

The network may include, but is not limited to, at least one of: wired network, wireless network. The wired network may include, but is not limited to, at least one of: a wide area network, a metropolitan area network, a local area network, and the wireless network may include, but is not limited to, at least one of: WIFI (WIRELESS FIDELITY ), bluetooth. The terminal device 102 may not be limited to a PC, a mobile phone, a tablet computer, an intelligent air conditioner, an intelligent smoke machine, a refrigerator device, an intelligent oven, an intelligent cooking range, an intelligent washing machine, an intelligent water heater, an intelligent washing device, an intelligent dish washer, an intelligent projection device, an intelligent television, an intelligent clothes hanger, an intelligent curtain, an intelligent video, an intelligent socket, an intelligent sound box, an intelligent fresh air device, an intelligent kitchen and toilet device, an intelligent bathroom device, an intelligent sweeping robot, an intelligent window cleaning robot, an intelligent mopping robot, an intelligent air purifying device, an intelligent steam box, an intelligent microwave oven, an intelligent kitchen appliance, an intelligent purifier, an intelligent water dispenser, an intelligent door lock, and the like.

In this embodiment, a function recommendation method is provided, including but not limited to being applied to the computer terminal described above, and fig. 2 is a flowchart of an alternative function recommendation method according to an embodiment of the present application, where the flowchart includes steps S202-S206 as follows:

Step S202: under the condition that voice data of a target object are obtained, carrying out semantic recognition on the voice data to obtain a semantic recognition result;

As an alternative embodiment, the embodiment of the present application is applied to the smart home field, and semantic recognition can be performed by means of a voice recognition technology, a natural language processing technology (Natural Language Processing, abbreviated as NLP) and a machine learning algorithm, so as to understand the voice command and dialogue content of the user, thereby realizing interaction.

In an exemplary embodiment, in the case where the voice data of the target object is acquired, there is also the following step S11:

Step S11: voiceprint recognition is carried out on the voice data, and the age and the sex of the target object are determined;

as an alternative example, since the age and sex of the target object (i.e., the user) are not different, the frequency spectrum, frequency, etc. of the sound signal are different, and thus the voiceprint recognition can be performed by using the characteristics of the sound frequency spectrum, frequency, tone, etc. in the sound signal, so as to determine the age and sex of the target object.

As an alternative example, it is only necessary to determine the age range in which the target object is located, i.e. whether the target object is a child, young, middle-aged or elderly.

Step S204: determining a specified function having an association relationship with the target intention in the case that the semantic recognition result is used for indicating that the target object has the target intention;

As an alternative embodiment, the target intention of the target object in the speech data can be determined by means of NLP.

It should be noted that, not every intention has a specified function with an association relationship, the configuration platform needs to further judge according to the intention of the target object, if the intention of the target object does not have the specified function with the association relationship, the operation corresponding to the voice data is directly executed, the response information of the corresponding operation is determined, and general voice broadcasting is performed.

As an alternative example, the area in which the language data is located (e.g., air conditioning area, water heater area, etc.) may be determined first, and then the intention of the target object may be determined.

In an exemplary embodiment, determining the specified function having an association relationship with the target intention may be achieved by the following steps S21-S22:

Step S21: obtaining a target configuration table, wherein the target configuration table records a plurality of groups of association relations which are predefined, and the association relations are the association relations of intentions and functions;

It should be noted that the intention includes the target intention, and the function includes the specified function.

Step S22: and determining a designated function with an association relation with the target intention according to the target configuration table.

As an alternative embodiment, assuming that the target intention of the user is "turning on the air conditioner", the designated function corresponding to the target intention may be "comfort home" which is a function of flexibly adjusting the temperature and air humidity for the user according to external conditions, thereby achieving ventilation.

As an alternative embodiment, the target configuration table may be preset, or may be flexibly adjusted by the user, which is not limited in the embodiment of the present application.

Step S206: and playing recommended voice under the condition that the using frequency of the specified function used by the target object is smaller than a first preset threshold, wherein the recommended voice is used for recommending the specified function to the target object.

As an alternative embodiment, the use frequency may be preconfigured on the configuration platform, as shown in fig. 3, which is a configuration information diagram according to an embodiment of the present application.

It should be noted that, assuming that the preset threshold is set to be once every three days, if it is determined that the current use frequency of the user is lower than once every three days, the recommended voice will be played to remind the target object to use the specified function.

Through the above step S206, the user is assisted to better utilize the specified function while increasing the frequency of use of the specified function.

In an exemplary embodiment, the following step S31 is further provided before playing the recommended voice:

Step S31: and determining recommended voice according to the age and sex of the target object.

It should be noted that, the habits of the target objects with different ages and sexes are different, and the user experience can be further improved by flexibly determining the recommended voice.

In an exemplary embodiment, the above step S31 may be implemented by the following steps S41 to S43:

Step S41: acquiring a recommended text;

It should be noted that, the text content of the recommended text is used for recommending the use of the specified function to the target object;

As an alternative embodiment, assuming the designated function is "wisdom home", the corresponding recommended text may be "you have provided the most appropriate air service according to the local climate environment," comfort home "to me after waking me, and enjoying comfortable air at any time.

Step S42: determining a target expression mode according to the age and sex of the target object;

as an alternative embodiment, the target expression includes, but is not limited to, adding appropriate designations to the target subject based on age and gender.

Step S43: and converting the recommended text according to the target expression mode to obtain the recommended voice.

As an alternative embodiment, assuming that the target object is a female user, the recommended text is converted according to the target expression mode, which may be "female" to provide the most suitable air service for you according to the local climate environment, and the comfort air can be enjoyed at any time by waking me and then speaking "comfort home" to me.

As an alternative embodiment, assuming that the target object is a male user, the recommended text is converted according to the target expression mode, which may be "mr. Who has provided the most suitable air service for you according to the local climate environment, and who can enjoy comfortable air at any time by speaking" comfort home "to me after waking me.

As an alternative embodiment, assuming that the target object is a child, the recommended text is converted according to the target expression mode, which may be "child, provides the best air service for you according to the local climate environment, and after waking me, we say" comfort home "to me, so that we can enjoy comfortable air at any time.

Through the steps S41-S43, the customized voice speaking operation can meet the personalized requirements of the target object according to different requirements and preferences of different users, and the intelligent home experience which meets the taste of the target object better is provided. The method has the advantages that the accent, the speech speed and the intonation of the target object are better matched, the recognition accuracy and the response speed of the intelligent home system are improved, meanwhile, the personalized phonetic technology can enable the user to feel the attention and the care of the intelligent home system, the dependence and the viscosity of the user on the intelligent home are enhanced, and the loyalty of the user is improved.

In an exemplary embodiment, playing recommended voices may be achieved by the following steps S51-S52:

step S51: determining whether the recommended voice is broadcasted in a preset time before the current moment;

Step S52: and playing the recommended voice when the recommended voice is not played or the number of times of playing the recommended voice is smaller than a second preset threshold value.

As an alternative embodiment, assuming that the preset time is two weeks, if it is determined that the recommended voice has not been played for both weeks, the recommended voice is played.

As an alternative embodiment, assuming that the second preset threshold is three times per week, the recommended speech is played in case that it was played only once in the last week.

Through the steps S51-S52, the problem that a user does not feel a specific function is solved, personalized intelligent experience is provided through the intelligent voice active service system, and the utilization rate of the specific function is improved.

In an exemplary embodiment, playing the recommended voices may also be achieved by the following steps S61-S62:

step S61: determining a response voice corresponding to a target operation under the condition that the voice data is used for indicating the target device to execute the target operation and the target device finishes executing the target operation;

As an alternative embodiment, the target device includes, but is not limited to, a smart air conditioner; the target operation includes, but is not limited to, turning on the air conditioner.

As an alternative embodiment, the voice data is "turn on air conditioner" for instructing the air conditioner to perform the corresponding operation, and the response voice is "air conditioner has been turned on, you can blow air conditioner with ease".

Step S62: and splicing the response voice and the recommended voice to obtain and play the target voice.

As an alternative embodiment, the recommended voice may be "lady, you have been provided with the most appropriate air service according to the local climate, and we can enjoy comfortable air at any time after waking me and speaking" comfort home "to me. The target voice obtained after the voice is spliced with the response voice is that an air conditioner is turned on, so that you can blow the air conditioner with confidence, women can provide the most proper air service for the users according to the local climate environment, and people can enjoy comfortable air at any time after waking me and speaking the comfort home.

As an alternative embodiment, the recommended speech may be "Mr. who has provided you with the most appropriate air service according to the local climate, and who can enjoy comfortable air at any time after waking me and speaking" comfort home "to me. The target voice obtained after the target voice is spliced with the response voice is that an air conditioner is turned on, so that you can blow the air conditioner with confidence, and Mr. provides the most proper air service for you according to the local climate environment, and people can enjoy comfortable air at any time after waking me and speaking 'comfort home'.

As an alternative embodiment, the recommended voice may be "child, who has provided you with the most appropriate air service according to the local climate, and who can enjoy comfortable air at any time after waking me and speaking me" comfort home ". The target voice obtained after the voice is spliced with the response voice is that an air conditioner is turned on, so that people can blow the air conditioner with confidence, children can provide the most proper air service for the people according to the local climate environment, and people can enjoy comfortable air at any time after waking me and speaking the comfort home.

In the present embodiment, the above steps S61 to S62: the intelligent voice active service system solves the problem that a user does not feel the specific function, provides personalized intelligent experience through the intelligent voice active service system, and improves the utilization rate of the specific function. The recommendation of different phones according to the men, women, the old and the young of the speaker is realized, and the user experience and satisfaction are enhanced.

Through the above steps S202 to S206: under the condition that the target object has the target intention according to the voice data of the target object, determining the appointed function with the association relation with the target intention, pushing the appointed function according to the use frequency of the appointed function, solving the problem that the appointed function cannot be pushed well in the prior art, further recommending the appointed function to a user at proper time under the condition that the use frequency of the appointed function is low, actively reminding voice, and improving the technical effect of the use rate of the appointed function.

In an exemplary embodiment, after determining the specified function having the association relation with the target intention, the following steps S71-S72 are further provided:

Step S71: determining whether the frequency of use of the specified function by the target object is reduced or not under the condition that the frequency of use of the specified function by the target object is greater than or equal to a first preset threshold value;

step S72: and playing the recommended voice under the condition that the use frequency is determined to be reduced.

As an alternative embodiment, as shown in fig. 3, the frequency of use may be preconfigured in the configuration platform, and the frequency of the target object using the specified function is assumed to be five times per week, the first preset threshold is once per week, at this time, the frequency of the target object using the specified function is greater than the first preset threshold, further determining that the frequency of use of the specified function by the user is compared with the frequency of use of the specified function in the previous weeks, and if the frequency of use of the user is assumed to be seven times per week, determining that the frequency of use of the user is reduced, playing the recommended voice and reminding the user to use the specified function. .

It will be apparent that the embodiments described above are merely some, but not all, embodiments of the invention. For better understanding of the above method, the following description will explain the above process with reference to the examples, but is not intended to limit the technical solution of the embodiments of the present invention, specifically:

(1) Setting and selecting dimensions to be configured in a configuration platform, such as a pushed service type, a push field, a push intention, a push frequency, a frequency down time interval, a use time overlong time interval and the like, wherein the dimension is an optional configuration information diagram according to an embodiment of the application as shown in fig. 3;

(2) In the voice interaction process, voiceprints of the identified users are divided into men, women, the old and the young, and different voice operation services are assembled for different subsequent roles. FIG. 4 is an alternative voiceprint recognition flowchart in accordance with an embodiment of the present application;

(3) NLP analysis: depending on the field of filtering proper (corresponding to the intent in the above embodiment), the concatenation of the reply session is done only in the proper field. The analysis flow is shown in figure 5;

(4) When the user interacts, filtering is carried out according to the configuration of the configuration platform, and an interaction flow chart is shown in fig. 6;

(5) Judging a scene meeting a certain recommendation according to the equipment state, and performing speaking and operation splicing, wherein a splicing flow chart is shown in fig. 7;

(6) The server issues the protocol, stores the related data, and the terminal re-requests to synthesize the broadcasting text according to the speech operation and broadcasts the broadcasting text, and a protocol issuing flow chart is shown in fig. 8.

The overall flow of the present application, combining the various steps described above, is shown in fig. 9.

By the application, the following technical effects can be realized:

(1) An intelligent recommendation mechanism is realized, and personalized recommendation is performed according to the specific requirements, gender, age and other factors of the user;

(2) And the intelligent experience is provided by combining the environment quality dimension and the user operation behavior, so that the user is helped to better utilize the specific function. The problem that a user does not perceive a specific function is solved, personalized intelligent experience is provided through the intelligent voice active service system, and the utilization rate of the specific function is improved;

(3) The reminding and intelligent recommendation of the long-time unused specific function are provided, and the utilization rate of the function is increased;

(4) Friendly push prompt is carried out in a specific field, so that the requirements of users in specific situations are met;

(5) The pushing period and the pushing frequency can be configured, so that the pushing device flexibly adapts to the requirements and the use habits of users;

(6) And different vocalization recommendations are made according to the men, women, the old and the young of the speaker, so that the user experience and satisfaction are enhanced.

From the description of the above embodiments, it will be clear to a person skilled in the art that the method according to the above embodiments may be implemented by means of software plus the necessary general hardware platform, but of course also by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) comprising several instructions for causing a terminal device (which may be a mobile phone, a computer, a server, or a network device, etc.) to perform the method of the various embodiments of the present application.

In this embodiment, a function recommendation device is further provided, and the function recommendation device is used to implement the foregoing embodiments and preferred embodiments, and is not described in detail. As used below, the term "module" may be a combination of software and/or hardware that implements a predetermined function. While the means described in the following embodiments are preferably implemented in software, implementation in hardware, or a combination of software and hardware, is also possible and contemplated.

FIG. 10 is a block diagram of an alternative function recommendation device according to an embodiment of the present application, as shown in FIG. 10, the device includes:

The recognition module 1002 is configured to, when voice data of a target object is acquired, perform semantic recognition on the voice data to obtain a semantic recognition result;

a determining module 1004, configured to determine a specified function having an association relationship with the target intention, if the semantic recognition result is used to indicate that the target object has the target intention;

And a playing module 1006, configured to play a recommended voice when the frequency of using the specified function by the target object is less than a first preset threshold, where the recommended voice is used to recommend the specified function to the target object.

As an alternative embodiment, the above device is applied to the smart home field, and semantic recognition can be performed by means of voice recognition technology, natural language processing technology (Natural Language Processing, abbreviated as NLP) and machine learning algorithm, so as to understand the voice command and dialogue content of the user, thereby realizing interaction.

According to the device, when the target object is determined to have the target intention according to the voice data of the target object, the appointed function with the association relation with the target intention is determined, and then the push of the appointed function is realized according to the use frequency of the appointed function, so that the problem that the appointed function cannot be pushed well in the prior art is solved, and further the effect that the appointed function can be recommended to a user at proper time under the condition that the use frequency of the appointed function is low, active voice reminding is performed, and the technical effect of the use rate of the appointed function is improved.

In an exemplary embodiment, the determining module 1004 is further configured to obtain a target configuration table, where the target configuration table records a plurality of groups of predefined association relationships, where the association relationships are the association relationships between the intent and the function; and determining a designated function with an association relation with the target intention according to the target configuration table.

In an exemplary embodiment, the recognition module 1002 is further configured to, when voice data of the target object is acquired, perform voiceprint recognition on the voice data, and determine an age and a gender of the target object; the playing module 1006 is further configured to determine the recommended voice according to the age and sex of the target object before playing the recommended voice.

In an exemplary embodiment, the play module 1006 is further configured to obtain a recommendation text, where text content of the recommendation text is used to recommend the specified function to the target object; determining a target expression mode according to the age and sex of the target object; and converting the recommended text according to the target expression mode to obtain the recommended voice.

In an exemplary embodiment, the playing module 1006 is further configured to determine whether the recommended voice is played within a preset time before the current time; and playing the recommended voice when the recommended voice is not played or the number of times of playing the recommended voice is smaller than a second preset threshold value.

In an exemplary embodiment, the apparatus further comprises: a processing module, configured to determine whether a frequency of use of the specified function by the target object is reduced, where the frequency of use of the specified function by the target object is greater than or equal to a first preset threshold; and playing the recommended voice under the condition that the use frequency is determined to be reduced.

In an exemplary embodiment, the play module 1006 is further configured to determine a response voice corresponding to the target operation when the voice data is used to instruct the target device to perform the target operation and the target device completes the target operation; and splicing the response voice and the recommended voice to obtain and play the target voice.

An embodiment of the present application also provides a storage medium including a stored program, wherein the program executes the method of any one of the above.

Alternatively, in the present embodiment, the above-described storage medium may be configured to store program code for performing the steps of:

s1, under the condition that voice data of a target object are obtained, carrying out semantic recognition on the voice data to obtain a semantic recognition result;

s2, determining a designated function with an association relation with the target intention under the condition that the semantic recognition result is used for indicating that the target object has the target intention;

And S3, playing recommended voice under the condition that the using frequency of the specified function used by the target object is smaller than a first preset threshold, wherein the recommended voice is used for recommending the specified function to the target object.

An embodiment of the application also provides an electronic device comprising a memory having stored therein a computer program and a processor arranged to run the computer program to perform the steps of any of the method embodiments described above.

Optionally, the electronic apparatus may further include a transmission device and an input/output device, where the transmission device is connected to the processor, and the input/output device is connected to the processor.

Alternatively, in the present embodiment, the above-described processor may be configured to execute the following steps by a computer program:

s1, under the condition that voice data of a target object are obtained, carrying out semantic recognition on the voice data to obtain a semantic recognition result;

s2, determining a designated function with an association relation with the target intention under the condition that the semantic recognition result is used for indicating that the target object has the target intention;

And S3, playing recommended voice under the condition that the using frequency of the specified function used by the target object is smaller than a first preset threshold, wherein the recommended voice is used for recommending the specified function to the target object.

Alternatively, in the present embodiment, the storage medium may include, but is not limited to: a U-disk, a read-only memory (ROM), a random access memory (Random Access Memory RAM), a removable hard disk, a magnetic disk, or an optical disk, etc., which can store program codes.

Alternatively, specific examples in this embodiment may refer to examples described in the foregoing embodiments and optional implementations, and this embodiment is not described herein.

It will be appreciated by those skilled in the art that the modules or steps of the application described above may be implemented in a general purpose computing device, they may be concentrated on a single computing device, or distributed across a network of computing devices, they may alternatively be implemented in program code executable by computing devices, so that they may be stored in a memory device for execution by computing devices, and in some cases, the steps shown or described may be performed in a different order than that shown or described, or they may be separately fabricated into individual integrated circuit modules, or multiple modules or steps within them may be fabricated into a single integrated circuit module for implementation. Thus, the present application is not limited to any specific combination of hardware and software.

The above description is only of the preferred embodiments of the present application and is not intended to limit the present application, but various modifications and variations can be made to the present application by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the principle of the present application should be included in the protection scope of the present application.

Claims (10)

1. A function recommendation method, comprising:

Under the condition that voice data of a target object are obtained, carrying out semantic recognition on the voice data to obtain a semantic recognition result;

Determining a specified function having an association relationship with the target intention in the case that the semantic recognition result is used for indicating that the target object has the target intention;

And playing recommended voice under the condition that the using frequency of the specified function used by the target object is smaller than a first preset threshold, wherein the recommended voice is used for recommending the specified function to the target object.

2. The method of claim 1, wherein determining a specified function having an association with the target intent comprises:

Obtaining a target configuration table, wherein the target configuration table records a plurality of groups of association relations which are predefined, and the association relations are the association relations of intentions and functions;

And determining a designated function with an association relation with the target intention according to the target configuration table.

3. The method of claim 1, wherein the step of determining the position of the substrate comprises,

In case of acquiring voice data of the target object, the method further comprises: voiceprint recognition is carried out on the voice data, and the age and the sex of the target object are determined;

before playing the recommended speech, the method further comprises: and determining recommended voice according to the age and sex of the target object.

4. A method according to claim 3, wherein determining recommended voices based on the age and sex of the target object comprises:

Acquiring a recommended text, wherein the text content of the recommended text is used for recommending the specified function to the target object;

determining a target expression mode according to the age and sex of the target object;

and converting the recommended text according to the target expression mode to obtain the recommended voice.

5. The method of claim 1, wherein playing the recommended speech comprises:

Determining whether the recommended voice is broadcasted in a preset time before the current moment;

And playing the recommended voice when the recommended voice is not played or the number of times of playing the recommended voice is smaller than a second preset threshold value.

6. The method of claim 1, wherein after determining the specified function having an association with the target intention, the method further comprises:

Determining whether the frequency of use of the specified function by the target object is reduced or not under the condition that the frequency of use of the specified function by the target object is greater than or equal to a first preset threshold value;

And playing the recommended voice under the condition that the use frequency is determined to be reduced.

7. The method of claim 1, wherein playing the recommended speech comprises:

Determining a response voice corresponding to a target operation under the condition that the voice data is used for indicating the target device to execute the target operation and the target device finishes executing the target operation;

and splicing the response voice and the recommended voice to obtain and play the target voice.

8. A function recommendation device, characterized by comprising:

The recognition module is used for carrying out semantic recognition on the voice data under the condition that the voice data of the target object are acquired, so as to obtain a semantic recognition result;

a determining module, configured to determine a specified function having an association relationship with the target intention, in a case where the semantic recognition result is used to indicate that the target object has the target intention;

And the playing module is used for playing recommended voice under the condition that the using frequency of the specified function used by the target object is smaller than a first preset threshold, wherein the recommended voice is used for recommending the specified function to the target object.

9. A computer-readable storage medium, characterized in that the computer-readable storage medium comprises a stored program, wherein the program, when run, performs the method of any one of claims 1 to 7.

10. An electronic device comprising a memory and a processor, characterized in that the memory has stored therein a computer program, the processor being arranged to execute the method according to any of the claims 1 to 7 by means of the computer program.