CN113190752A

CN113190752A - Information recommendation method, mobile terminal and storage medium

Info

Publication number: CN113190752A
Application number: CN202110506694.6A
Authority: CN
Inventors: 朱建超
Original assignee: Shanghai Chuanying Information Technology Co Ltd
Current assignee: Shanghai Chuanying Information Technology Co Ltd
Priority date: 2021-05-10
Filing date: 2021-05-10
Publication date: 2021-07-30

Abstract

The application discloses an information recommendation method, a mobile terminal and a storage medium, wherein the method comprises the following steps: identifying user intention according to the acquired operation instruction; and recommending information based on the user intention. According to the method and the device, the user intention is identified, the information is recommended to the user based on the user intention, the recommendation accuracy is high, and the user experience is improved.

Description

Information recommendation method, mobile terminal and storage medium

Technical Field

The application relates to the technical field of information recommendation, in particular to an information recommendation method, a mobile terminal and a storage medium.

Background

The rapid development of the internet technology brings great convenience to the life of people, more and more information is provided, and how to find out the information wanted by people from mass information becomes the current urgent need. The recommendation system is an important means for information filtering, aims to recommend content of interest to users, and is one of the effective methods for solving the problem of information overload. In some implementations, many music software is provided with a function of personalized recommendation, so as to find out music that a user may like through an internal recommendation algorithm and recommend the music to the user. For example, songs having similar tags matching tag information included in songs in a history song playing record of a user are recommended, or subjective preferences of the user for different music types are predicted according to the evaluation of the user on the recommended music, so that suitable music is recommended to the user.

In the course of conceiving and implementing the present application, the inventors found that at least the following problems existed: the current music recommendation method is influenced by the factors that the feedback mode is single, the evaluation of the user on the music is difficult to obtain, the recommendation accuracy is not high, and the use experience of the user is influenced.

The foregoing description is provided for general background information and is not admitted to be prior art.

Disclosure of Invention

In order to solve the technical problems, the information recommendation method, the mobile terminal and the storage medium are provided, recommendation accuracy is high, and user experience is improved.

In order to solve the above technical problem, the present application provides an information recommendation method, including:

identifying user intention according to the acquired operation instruction;

and recommending information based on the user intention.

Optionally, the identifying the user intention according to the obtained operation instruction includes:

identifying the obtained operation instruction to obtain information and a corresponding information label;

the information recommendation based on the user intention comprises the following steps:

inquiring a preset information knowledge graph according to the information and the corresponding information labels to obtain a candidate information set; optionally, the information knowledge graph includes different information, corresponding information labels, and information association relations;

and recommending information based on the candidate information set.

Optionally, the identifying the obtained operation instruction to obtain information and a corresponding information tag includes:

and extracting the information of the obtained operation instruction based on a named body identification technology to obtain the information and a corresponding information label.

Optionally, the operation instruction includes a voice instruction and/or a text instruction.

acquiring the emotion type of a user inputting an operation instruction;

and extracting information according to the emotion type of the user and the operation instruction to obtain information and a corresponding information label.

Optionally, the obtaining of the emotion type of the user who inputs the operation instruction includes:

the method includes the steps of acquiring a face image of a user inputting an operation instruction, and identifying the face image of the user to obtain an emotion type of the user.

and identifying the voice emotion corresponding to the voice instruction input by the user to obtain the emotion type of the user.

Optionally, before querying a preset information knowledge graph according to the information and the corresponding information tag and acquiring a candidate information set, the method further includes:

data crawling at least one application to obtain at least one piece of data; optionally, each piece of data includes at least one piece of information and an information association relationship, and optionally, the information includes at least one of the following: songs, singers, albums, singing lists and genres, optionally, the information association comprises at least one of: the song belongs to an album, the song list belongs to the song, the song belonging style, the song performed by the singer, the album issued by the singer and the song belonging style;

and constructing an information knowledge graph based on the at least one datum by taking the information as the nodes of the database and taking the information association relation as the node relation of the database.

Optionally, the method further comprises:

when the information is determined to include the singer, recommending preset information related to the singer, optionally, the preset information includes at least one of the following information: recent concert information, recent event participation information and album information to be published.

Alternatively, the database may be a Neo4j graph database, or other similar databases.

Optionally, the recommending information based on the candidate information set includes:

sorting each candidate information in the candidate information set according to a preset sorting rule to obtain a sorting result;

and recommending the candidate information meeting the preset conditions as information to be recommended according to the sorting result.

Optionally, the sorting the candidate information in the candidate information set according to a preset sorting rule to obtain a sorting result includes:

acquiring a current value of each candidate information about a preset ranking factor and a weight corresponding to the preset ranking factor, wherein optionally, the preset ranking factor comprises at least one of popularity, praise amount, collection amount, release time and play amount;

and calculating a recommended value according to the current value and the weight, and sorting the candidate information according to the recommended value to obtain a sorting result.

acquiring historical information playing data;

and sorting each candidate information in the candidate information set according to the historical information playing data to obtain a sorting result.

The present application further provides a mobile terminal, the terminal device includes: the information recommendation method comprises a memory and a processor, wherein the memory stores a computer program, and the computer program realizes the steps of the information recommendation method when being executed by the processor.

The present application also provides a computer storage medium storing a computer program that, when executed by a processor, implements the steps of any of the information recommendation methods described above.

As described above, the information recommendation method, the mobile terminal, and the storage medium of the present application recognize the user intention according to the acquired operation instruction, and perform information recommendation based on the user intention. Through the mode, the user intention is recognized, information is recommended to the user based on the user intention, the recommendation accuracy is high, and the user experience is improved.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application. In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the description of the embodiments will be briefly described below, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.

Fig. 1 is a schematic hardware structure diagram of a mobile terminal implementing various embodiments of the present application;

fig. 2 is a communication network system architecture diagram according to an embodiment of the present application;

fig. 3 is a flowchart illustrating an information recommendation method according to a first embodiment;

fig. 4 is an interface diagram of the mobile terminal according to the first embodiment;

fig. 5 is a detailed flowchart illustrating an information recommendation method according to a second embodiment;

fig. 6 is a schematic diagram of a music knowledge base shown according to a second embodiment.

The implementation, functional features and advantages of the objectives of the present application will be further explained with reference to the accompanying drawings. With the above figures, there are shown specific embodiments of the present application, which will be described in more detail below. These drawings and written description are not intended to limit the scope of the inventive concepts in any manner, but rather to illustrate the inventive concepts to those skilled in the art by reference to specific embodiments.

Detailed Description

Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.

It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, the recitation of an element by the phrase "comprising an … …" does not exclude the presence of additional like elements in the process, method, article, or apparatus that comprises the element, and optionally, identically named components, features, and elements in different embodiments of the present application may have different meanings, as may be determined by their interpretation in the embodiment or by their further context within the embodiment.

It should be understood that although the terms first, second, third, etc. may be used herein to describe various information, such information should not be limited to these terms. These terms are only used to distinguish one type of information from another. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope herein. The word "if" as used herein may be interpreted as "at … …" or "when … …" or "in response to a determination", depending on the context. Also, as used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context indicates otherwise. It will be further understood that the terms "comprises," "comprising," "includes" and/or "including," when used in this specification, specify the presence of stated features, steps, operations, elements, components, items, species, and/or groups, but do not preclude the presence, or addition of one or more other features, steps, operations, elements, components, species, and/or groups thereof. The terms "or," "and/or," "including at least one of the following," and the like, as used herein, are to be construed as inclusive or mean any one or any combination. For example, "includes at least one of: A. b, C "means" any of the following: a; b; c; a and B; a and C; b and C; a and B and C ", again for example," A, B or C "or" A, B and/or C "means" any of the following: a; b; c; a and B; a and C; b and C; a and B and C'. An exception to this definition will occur only when a combination of elements, functions, steps or operations are inherently mutually exclusive in some way.

It should be understood that, although the steps in the flowcharts in the embodiments of the present application are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and may be performed in other orders unless explicitly stated herein. Moreover, at least some of the steps in the figures may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, in different orders, and may be performed alternately or at least partially with respect to other steps or sub-steps of other steps.

The words "if", as used herein, may be interpreted as "at … …" or "at … …" or "in response to a determination" or "in response to a detection", depending on the context. Similarly, the phrases "if determined" or "if detected (a stated condition or event)" may be interpreted as "when determined" or "in response to a determination" or "when detected (a stated condition or event)" or "in response to a detection (a stated condition or event)", depending on the context.

It should be noted that step numbers such as S11 and S12 are used herein for the purpose of more clearly and briefly describing the corresponding content, and do not constitute a substantial limitation on the sequence, and those skilled in the art may perform S11 first and then S12 in specific implementation, which should be within the scope of the present application.

It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.

In the following description, suffixes such as "module", "component", or "unit" used to denote elements are used only for the convenience of description of the present application, and have no specific meaning in themselves. Thus, "module", "component" or "unit" may be used mixedly.

The mobile terminal may be implemented in various forms. For example, the mobile terminal described in the present application may include mobile terminals such as a mobile phone, a tablet computer, a notebook computer, a palmtop computer, a Personal Digital Assistant (PDA), a Portable Media Player (PMP), a navigation device, a wearable device, a smart band, a pedometer, and the like, and fixed terminals such as a Digital TV, a desktop computer, and the like.

The following description will be given taking a mobile terminal as an example, and it will be understood by those skilled in the art that the configuration according to the embodiment of the present application can be applied to a fixed type terminal in addition to elements particularly used for mobile purposes.

Referring to fig. 1, which is a schematic diagram of a hardware structure of a mobile terminal for implementing various embodiments of the present application, the mobile terminal 100 may include: RF (Radio Frequency) unit 101, WiFi module 102, audio output unit 103, a/V (audio/video) input unit 104, sensor 105, display unit 106, user input unit 107, interface unit 108, memory 109, processor 110, and power supply 111. Those skilled in the art will appreciate that the mobile terminal architecture shown in fig. 1 is not intended to be limiting of mobile terminals, which may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.

The following describes each component of the mobile terminal in detail with reference to fig. 1:

the radio frequency unit 101 may be configured to receive and transmit signals during information transmission and reception or during a call, and specifically, receive downlink information of a base station and then process the downlink information to the processor 110; in addition, the uplink data is transmitted to the base station. Typically, radio frequency unit 101 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, and the like. Alternatively, the radio frequency unit 101 may also communicate with a network and other devices through wireless communication. The wireless communication may use any communication standard or protocol, including but not limited to GSM (Global System for Mobile communications), GPRS (General Packet Radio Service), CDMA2000(Code Division Multiple Access 2000), WCDMA (Wideband Code Division Multiple Access), TD-SCDMA (Time Division-Synchronous Code Division Multiple Access), FDD-LTE (Frequency Division duplex Long Term Evolution), and TDD-LTE (Time Division duplex Long Term Evolution).

WiFi belongs to short-distance wireless transmission technology, and the mobile terminal can help a user to receive and send e-mails, browse webpages, access streaming media and the like through the WiFi module 102, and provides wireless broadband internet access for the user. Although fig. 1 shows the WiFi module 102, it is understood that it does not belong to the essential constitution of the mobile terminal, and may be omitted entirely as needed within the scope not changing the essence of the invention.

The audio output unit 103 may convert audio data received by the radio frequency unit 101 or the WiFi module 102 or stored in the memory 109 into an audio signal and output as sound when the mobile terminal 100 is in a call signal reception mode, a call mode, a recording mode, a voice recognition mode, a broadcast reception mode, or the like. Also, the audio output unit 103 may also provide audio output related to a specific function performed by the mobile terminal 100 (e.g., a call signal reception sound, a message reception sound, etc.). The audio output unit 103 may include a speaker, a buzzer, and the like.

The a/V input unit 104 is used to receive audio or video signals. The a/V input Unit 104 may include a Graphics Processing Unit (GPU) 1041 and a microphone 1042, the Graphics processor 1041 Processing image data of still pictures or video obtained by an image capturing device (e.g., a camera) in a video capturing mode or an image capturing mode. The processed image frames may be displayed on the display unit 106. The image frames processed by the graphic processor 1041 may be stored in the memory 109 (or other storage medium) or transmitted via the radio frequency unit 101 or the WiFi module 102. The microphone 1042 may receive sounds (audio data) via the microphone 1042 in a phone call mode, a recording mode, a voice recognition mode, or the like, and may be capable of processing such sounds into audio data. The processed audio (voice) data may be converted into a format output transmittable to a mobile communication base station via the radio frequency unit 101 in case of a phone call mode. The microphone 1042 may implement various types of noise cancellation (or suppression) algorithms to cancel (or suppress) noise or interference generated in the course of receiving and transmitting audio signals.

The mobile terminal 100 also includes at least one sensor 105, such as a light sensor, a motion sensor, and other sensors. Optionally, the light sensor includes an ambient light sensor that may adjust the brightness of the display panel 1061 according to the brightness of ambient light, and a proximity sensor that may turn off the display panel 1061 and/or the backlight when the mobile terminal 100 is moved to the ear. As one of the motion sensors, the accelerometer sensor can detect the magnitude of acceleration in each direction (generally, three axes), can detect the magnitude and direction of gravity when stationary, and can be used for applications of recognizing the posture of a mobile phone (such as horizontal and vertical screen switching, related games, magnetometer posture calibration), vibration recognition related functions (such as pedometer and tapping), and the like; as for other sensors such as a fingerprint sensor, a pressure sensor, an iris sensor, a molecular sensor, a gyroscope, a barometer, a hygrometer, a thermometer, and an infrared sensor, which can be configured on the mobile phone, further description is omitted here.

The display unit 106 is used to display information input by a user or information provided to the user. The Display unit 106 may include a Display panel 1061, and the Display panel 1061 may be configured in the form of a Liquid Crystal Display (LCD), an Organic Light-Emitting Diode (OLED), or the like.

The user input unit 107 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the mobile terminal. Alternatively, the user input unit 107 may include a touch panel 1071 and other input devices 1072. The touch panel 1071, also referred to as a touch screen, may collect a touch operation performed by a user on or near the touch panel 1071 (e.g., an operation performed by the user on or near the touch panel 1071 using a finger, a stylus, or any other suitable object or accessory), and drive a corresponding connection device according to a predetermined program. The touch panel 1071 may include two parts of a touch detection device and a touch controller. Optionally, the touch detection device detects a touch orientation of a user, detects a signal caused by a touch operation, and transmits the signal to the touch controller; the touch controller receives touch information from the touch sensing device, converts the touch information into touch point coordinates, sends the touch point coordinates to the processor 110, and can receive and execute commands sent by the processor 110. Alternatively, the touch panel 1071 may be implemented in various types, such as resistive, capacitive, infrared, and surface acoustic wave. In addition to the touch panel 1071, the user input unit 107 may include other input devices 1072. Optionally, other input devices 1072 may include, but are not limited to, one or more of a physical keyboard, function keys (e.g., volume control keys, switch keys, etc.), a trackball, a mouse, a joystick, and the like, and are not limited thereto.

Alternatively, the touch panel 1071 may cover the display panel 1061, and when the touch panel 1071 detects a touch operation thereon or nearby, the touch panel 1071 transmits the touch operation to the processor 110 to determine the type of the touch event, and then the processor 110 provides a corresponding visual output on the display panel 1061 according to the type of the touch event. Although the touch panel 1071 and the display panel 1061 are shown in fig. 1 as two separate components to implement the input and output functions of the mobile terminal, in some embodiments, the touch panel 1071 and the display panel 1061 may be integrated to implement the input and output functions of the mobile terminal, and is not limited herein.

The interface unit 108 serves as an interface through which at least one external device is connected to the mobile terminal 100. For example, the external device may include a wired or wireless headset port, an external power supply (or battery charger) port, a wired or wireless data port, a memory card port, a port for connecting a device having an identification module, an audio input/output (I/O) port, a video I/O port, an earphone port, and the like. The interface unit 108 may be used to receive input (e.g., data information, power, etc.) from external devices and transmit the received input to one or more elements within the mobile terminal 100 or may be used to transmit data between the mobile terminal 100 and external devices.

The memory 109 may be used to store software programs as well as various data. The memory 109 may mainly include a program storage area and a data storage area, and optionally, the program storage area may store an operating system, an application program (such as a sound playing function, an image playing function, and the like) required by at least one function, and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. Optionally, the memory 109 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.

The processor 110 is a control center of the mobile terminal, connects various parts of the entire mobile terminal using various interfaces and lines, and performs various functions of the mobile terminal and processes data by operating or executing software programs and/or modules stored in the memory 109 and calling data stored in the memory 109, thereby performing overall monitoring of the mobile terminal. Processor 110 may include one or more processing units; optionally, the processor 110 may integrate an application processor and a modem processor, optionally, the application processor primarily handles operating systems, user interfaces, applications, etc., and the modem processor primarily handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 110.

The mobile terminal 100 may further include a power supply 111 (e.g., a battery) for supplying power to various components, and optionally, the power supply 111 may be logically connected to the processor 110 via a power management system, so as to implement functions of managing charging, discharging, and power consumption via the power management system.

Although not shown in fig. 1, the mobile terminal 100 may further include a bluetooth module or the like, which is not described in detail herein.

In order to facilitate understanding of the embodiments of the present application, a communication network system on which the mobile terminal of the present application is based is described below.

Referring to fig. 2, fig. 2 is an architecture diagram of a communication Network system according to an embodiment of the present disclosure, where the communication Network system is an LTE system of a universal mobile telecommunications technology, and the LTE system includes a UE (User Equipment) 201, an E-UTRAN (Evolved UMTS Terrestrial Radio Access Network) 202, an EPC (Evolved Packet Core) 203, and an IP service 204 of an operator, which are in communication connection in sequence.

Optionally, the UE201 may be the terminal 100 described above, and is not described herein again.

The E-UTRAN202 includes eNodeB2021 and other eNodeBs 2022, among others. Alternatively, the eNodeB2021 may be connected with other enodebs 2022 through a backhaul (e.g., X2 interface), the eNodeB2021 is connected to the EPC203, and the eNodeB2021 may provide the UE201 access to the EPC 203.

The EPC203 may include an MME (Mobility Management Entity) 2031, an HSS (Home Subscriber Server) 2032, other MMEs 2033, an SGW (Serving gateway) 2034, a PGW (PDN gateway) 2035, and a PCRF (Policy and Charging Rules Function) 2036, and the like. Optionally, the MME2031 is a control node that handles signaling between the UE201 and the EPC203, providing bearer and connection management. HSS2032 is used to provide registers to manage functions such as home location register (not shown) and holds subscriber specific information about service characteristics, data rates, etc. All user data may be sent through SGW2034, PGW2035 may provide IP address assignment for UE201 and other functions, and PCRF2036 is a policy and charging control policy decision point for traffic data flow and IP bearer resources, which selects and provides available policy and charging control decisions for a policy and charging enforcement function (not shown).

The IP services 204 may include the internet, intranets, IMS (IP Multimedia Subsystem), or other IP services, among others.

Although the LTE system is described as an example, it should be understood by those skilled in the art that the present application is not limited to the LTE system, but may also be applied to other wireless communication systems, such as GSM, CDMA2000, WCDMA, TD-SCDMA, and future new network systems.

Based on the above mobile terminal hardware structure and communication network system, various embodiments of the present application are provided.

First embodiment

Fig. 3 is a flowchart illustrating an information recommendation method according to a first embodiment, which may be applied to information recommendation, such as music recommendation, and which may be executed by an information recommendation apparatus provided in an embodiment of the present application, which may be implemented in software and/or hardware, and in a specific application, the information recommendation apparatus may be specifically a terminal, a server, or the like. The terminal may be implemented in various forms, and the terminal described in this embodiment may include a mobile terminal such as a mobile phone, a tablet computer, a notebook computer, a palm computer, a Personal Digital Assistant (PDA), a Portable Media Player (PMP), a wearable device, a smart band, a pedometer, and the like. In this embodiment, taking an execution subject of the information recommendation method as an example of a mobile terminal, the information recommendation method includes the following steps:

step S11: identifying user intention according to the acquired operation instruction;

it can be understood that the user may input an operation instruction to the mobile terminal through one or more ways according to the actual situation, so as to control the mobile terminal to perform a corresponding operation, such as playing a certain song sung by a certain singer, playing a certain type of song, and the like. Alternatively, the operation instruction may include a voice instruction and/or a text instruction, that is, the user may input the operation instruction by voice and/or manually, for example, the user inputs a voice "please play song" my home ", or the user clicks to play song" my home "in a song list of the music application. Optionally, the playback file includes any one of: music, movies, drama, novel, and documentary, music is taken as an example in this embodiment. Since the operation instruction contains information that the user wants to know, the user's intention can be recognized from the acquired operation instruction. Optionally, the identifying the user intention according to the obtained operation instruction includes: and identifying the acquired operation instruction to obtain information and a corresponding information tag. Optionally, since the operation instruction at least needs to include one piece of information and a corresponding information tag, the mobile terminal can normally execute the operation instruction, and therefore, the obtained operation instruction can be identified to obtain the information in the operation instruction and the corresponding information tag. Optionally, the information comprises at least one of: songs, singers, albums, song sheets, and genres. The information tag is used for specifically identifying information, such as that a singer is Zhang III or Li IV, that the style is wounded or happy, and the like. Optionally, the identifying the obtained operation instruction to obtain information and a corresponding information tag includes: and extracting the information of the acquired operation instruction based on an information identification technology to obtain the information and a corresponding information label. Therefore, the information and the corresponding information label can be quickly and accurately obtained by extracting the information of the obtained operation instruction based on the information identification technology, and the accuracy and the speed of information recommendation are further improved.

Optionally, the identifying the obtained operation instruction to obtain information and a corresponding information tag includes: acquiring the emotion type of a user inputting an operation instruction; and extracting information according to the emotion type of the user and the operation instruction to obtain information and a corresponding information label. It is understood that the user may input the operation instruction for listening to songs in a corresponding style under a specific emotion such as happy or sad, but sometimes the operation instruction input by the user may not include specific information or only include one information, for example, the user inputs voice "i want to listen to a song of three", and a singer may sing songs in many styles, in order to accurately recommend songs to the user to improve the recommendation accuracy, the emotion type of the user who inputs the operation instruction may be obtained, and information extraction is performed according to the emotion type of the user and the operation instruction to obtain information and a corresponding information tag. Optionally, the type of emotion includes, but is not limited to, happy, sad, angry, and the like. The emotion type of the user can be acquired according to the facial expression of the user and also can be acquired through voice information of the user. Optionally, the obtaining of the emotion type of the user who inputs the operation instruction includes: the method includes the steps of acquiring a face image of a user inputting an operation instruction, and identifying the face image of the user to obtain an emotion type of the user. Optionally, after receiving the operation instruction, the mobile terminal may start a camera or other photographing device set by itself to photograph the user, so as to obtain the facial image of the user, and further identify the facial image of the user, so as to obtain the emotion type of the user. It is to be understood that since the emotion of the user is usually expressed by the face, for example, the face may have a smiling expression when the user is happy, and the face may have a tear when the user is sad, the emotion type of the user may be obtained by recognizing the face image of the user. Therefore, the emotion type of the user is obtained according to the facial image of the user, the operation is convenient and fast, and the accuracy and speed of information recommendation are further improved.

Optionally, the obtaining of the emotion type of the user who inputs the operation instruction includes: and identifying the voice emotion corresponding to the voice instruction input by the user to obtain the emotion type of the user. It can be understood that, when the user inputs the voice instruction in the voice control mode, because the emotion of the user can be expressed by the voice emotion parameter, the emotion type of the user can be determined by recognizing the voice emotion parameter of the voice instruction and further based on the voice emotion parameter. Optionally, the mobile terminal may analyze a voice instruction input by the user to obtain a corresponding voice emotion parameter, query a voice emotion type corresponding to a parameter value of the voice emotion parameter in a preset voice emotion reference library, and determine the voice emotion type corresponding to the parameter value as the emotion type of the user. Therefore, the emotion type of the user is obtained according to the voice emotion corresponding to the voice instruction, the operation is convenient and fast, and the accuracy and the speed of information recommendation are further improved.

Step S12: and recommending information based on the user intention.

It is to be understood that, after learning the user intention, information recommendation may be made based on the user intention so that the user does not need to input an operation instruction again to learn desired information, such as hearing music that likes singers, and the like. Optionally, the recommending information based on the user intention includes: inquiring a preset information knowledge graph according to the information and the corresponding information labels to obtain a candidate information set; optionally, the information knowledge graph includes different information, corresponding information labels, and information association relations; and recommending information based on the candidate information set. Alternatively, the information knowledge graph may be established based on data corresponding to one or more applications, and include different information, corresponding information tags and information association relations, and by querying the information knowledge graph, other information related to the information to be queried may be known. Optionally, the information comprises at least one of: songs, singers, albums, singing lists and styles, optionally, the information association relationship may comprise at least one of the following relationships: the album to which the song belongs, the song list to which the song belongs, the genre to which the song belongs, the song that the singer sings, the album issued by the singer, and the genre to which the song belongs. After a candidate information set which is related to the information and has the same information label is obtained, information recommendation can be performed based on the candidate information set so as to recommend the information to a user. For example, music is taken as an example, the operation instruction "song a singing in three songs" is analyzed to know that the information is "song three", the corresponding information label is "singer", song B in the same style, songs C and D in different styles, other songs E and F in the same album and the like singed in three songs can be inquired in the music knowledge base, and the songs are taken as candidate information. Therefore, information can be quickly recommended to the user directly by inquiring the information knowledge map, and the information recommendation speed is further improved.

Optionally, before querying a preset information knowledge graph according to the information and the corresponding information tag and acquiring a candidate information set, the method further includes: data crawling at least one application to obtain at least one piece of data; optionally, each of the data includes at least one information and an information association relation; and constructing an information knowledge graph based on the at least one datum by taking the information as the nodes of the database and taking the information association relation as the node relation of the database. Optionally, data corresponding to the application program may be obtained by crawling the application program, information is used as a node of the database, an information association relation is used as a node relation of the database, an information knowledge graph may be constructed based on the at least one data, and further, other information associated with a certain information may be searched based on the information knowledge graph. Therefore, the information knowledge graph is established based on the data, the operation is convenient and fast, and the accuracy of information recommendation is further improved.

Optionally, the recommending information based on the candidate information set includes: sorting each candidate information in the candidate information set according to a preset sorting rule to obtain a sorting result; and recommending the candidate information meeting the preset conditions as information to be recommended according to the sorting result. It can be understood that there may be a plurality of candidate information included in the candidate information set, however, all the candidate information may not be recommended to the user, or when the number of the candidate information is large, all the candidate information may not be recommended to the user, and therefore, each candidate information in the candidate information set may be sorted first, and then the candidate information meeting a preset condition may be recommended as the information to be recommended according to the sorting result. Optionally, the sorting rule may be set according to actual needs, such as sorting according to a sorting factor, sorting according to personal preferences of a user, and the like. The preset condition may also be set according to actual needs, for example, the preset condition may be that candidate information of N before arrangement is selected as information to be recommended for recommendation, and optionally, the preset condition may also be automatically determined or generated by using habits of a user or big data analysis, and the like, regardless of the sorting rule. Therefore, the information is recommended after being sorted, so that the user can quickly obtain the desired information, and the accuracy and the speed of information recommendation are further improved.

Optionally, the sorting the candidate information in the candidate information set according to a preset sorting rule to obtain a sorting result includes: acquiring a current value of each candidate information about a preset ranking factor and a weight corresponding to the preset ranking factor, wherein optionally, the preset ranking factor comprises at least one of popularity, praise amount, collection amount, release time and play amount; and calculating a recommended value according to the current value and the weight, and sorting the candidate information according to the recommended value to obtain a sorting result. Optionally, the sorting the candidate information according to the recommended value may be sorting the candidate information according to a descending order of the recommended value. Continuing with the foregoing example, assuming that the preset ranking factor includes an amount of like and an amount of play, and the weight corresponding to the amount of like is 0.4, and the weight corresponding to the amount of play is 0.6, for the candidate songs B, C, D, E and F, the product of the amount of like and the corresponding weight, and the product of the amount of play and the corresponding weight may be calculated respectively, and then the sum of the two may be used as the recommendation value to rank them, and if the ranking results corresponding to the ranking values from large to small are B, D, E, C and F, and the preset condition is that the candidate information at the top 3 of the ranking is selected as the information to be recommended, then the song B, D, E will be recommended to the user, as shown in fig. 4. Therefore, the information is ranked according to the ranking factor and then recommended, so that the user can quickly obtain the desired information, and the accuracy of information recommendation and the user experience are further improved.

Optionally, the sorting the candidate information in the candidate information set according to a preset sorting rule to obtain a sorting result includes: acquiring historical information playing data; and sorting each candidate information in the candidate information set according to the historical information playing data to obtain a sorting result. It is to be understood that, since the history information playing data can represent the preference information of the user for information, such as songs that the user may like in the impairment style, a certain album, etc., each candidate information in the candidate information set may be sorted according to the history information playing data to obtain a sorting result. Optionally, the mobile terminal may obtain information with a large number of historical playing times or a large time length of the user according to the historical information playing data, and arrange the candidate information with a large number of historical playing times or a large time length in the candidate information set in the front. Taking the information as the songs for example, assuming that the candidate information set includes songs A, B, C and D, if it is determined that the historical playing times are songs A, D, B and C in order from high to low according to the historical song playing data of the user, the candidate information in the candidate information set may be sorted into songs A, D, B and C. Optionally, in order to improve the processing speed and the accuracy of sorting, the history information playing data with the history playing time length smaller than the preset time length threshold and/or the history playing frequency smaller than the preset frequency threshold may be deleted, and then each candidate information in the candidate information set may be sorted according to the remaining history information playing data of the user, so as to obtain a sorting result. Therefore, the information is sorted according to the personal preference of the user, and the accuracy of information recommendation is further improved.

In summary, in the information recommendation method provided in the above embodiment, by identifying the user intention and recommending information to the user based on the user intention, recommendation accuracy is high, and user experience is improved.

Optionally, the method may further comprise: when the information is determined to include the singer, recommending preset information related to the singer, optionally, the preset information includes at least one of the following information: recent concert information, recent event participation information and album information to be published. It can be understood that, when the operation instruction input by the user includes a singer, it indicates that the user may want to listen to a song performed by the singer, and the user may also be interested in preset information related to the singer, such as recent performance information, recent participation information, and album information to be released, so that the mobile terminal may also recommend the preset information related to the singer to the user after performing information recommendation based on the user intention, so that the user can conveniently and timely know the preset information without manual query, and the user experience is further improved.

Second embodiment

Fig. 5 is a schematic specific flowchart of an information recommendation method according to a second embodiment, where music is taken as an example in this embodiment, as shown in fig. 5, the information recommendation method of this embodiment includes, but is not limited to, the following steps:

step S301: crawling song data;

optionally, a multithreading crawler program may be designed based on a Python third party library to crawl information of a music database, such as internet music, music on the cloud, QQ, and the like, and obtain music information, singer information, album information, and song list information, where the specific information structure is as follows: firstly, for music information, a link url, a song name and a song id, a similar song and a song id, a singer name and a singer id, an album name and an album id, the popularity and the lyric of each piece of music need to be crawled; for the singer, the link url, the singer name and the singer id, the album name and the album id, and the song name and the song id of each singer need to be crawled; for album information, an album link url, an album name and album id, a singer name and singer id, a song name and song id need to be crawled; and fourthly, for the song list information, crawling the song list link url, the name and id of the song list, the name and id of the song under the song list and the style. Attributes include popularity, amount of likes, amount of plays, etc.

Step S302: cleaning and arranging data;

optionally, the crawled data can be saved as a file data.

Step S303: establishing a database;

in this embodiment, the defined music information association relationship includes at least one of the following: the song belongs to the album, the song list of the song, the song similar to the song, the genre of the song, the singer singing the song, the singer publishing the album, and the genre of the song list. Optionally, the data is used as a node, and the relationship data is used as a node relationship to form a triple, as shown in table 1.

Table 1 music information and relationship triplets

Step S304: constructing a music knowledge graph;

alternatively, a music knowledge graph is created using a knowledge graph construction tool, as shown in FIG. 6.

Step S305: acquiring a user input dialogue;

step S306: identifying a user intent;

optionally, in a human-computer interaction scenario, the user needs are identified according to user speech input or text input.

Step S307: extracting music information;

alternatively, the related music class information may be extracted by a natural language processing technique.

Step S308: searching a candidate target music information set;

alternatively, a candidate music information set meeting the user's needs may be found from the music knowledge graph.

Step S309: and recommending music information.

Optionally, for the candidate music information set, the score of each piece of target music information in the candidate target music information set may be calculated according to a relevancy ranking algorithm, and the piece of target music information with the highest score may be recommended to the user.

For example, assume that the user inputs "play the humorous actor song," and music-class information [ singer ] is extracted by a natural language processing named-body recognition technique: "xue's moderate", "music ]: actor" is searched in the music knowledge map, can inquire about the affiliated album of song "actor" is "gentleman" fast, affiliated song list "the fine time of flowing", song list style "the wound, similar song" year is few, have, can't, song style "the wound" information, etc., and order the music information inquired according to the degree of correlation, recommend to users.

Assuming that the user inputs "i want to listen to a song with a sense of impairment", the music style [ style ] is extracted by natural language processing named body recognition technology (NER): and the 'impairment' candidate music information set is searched from the music knowledge graph, sorted according to song popularity and sequentially recommended to the user.

The foregoing embodiments are described in detail below by way of specific examples, as follows:

example 1

First, in an interactive scenario, music information is extracted according to a user voice input or a text input, and may be a song, an album, a song list, a singer, and five styles, for example, a user inputs "i want to listen to a humble song", an identified entity [ singer ]: "the modest part of the xue" is to search for the relationship r: Sing;

and secondly, searching in the music knowledge graph according to the identified entity and the searching relation:

MATCH (s: Singer { name: 'hume' }) - [ r: Sing ] - > (m: Music) RETURN m

Thirdly, the songs searched in the last step are ranked according to song popularity and then are sequentially recommended to the user, for example, the sequential recommendation is as follows: serious snow, actors, rigors, ugly.

Example two

First, in an interactive scenario, music information is extracted according to a user voice input or a text input, and may be five types of songs, albums, vocalists, singers and styles, such as a user input "song with a feeling of injury", an identified entity [ Style ]: the 'injury feeling' is searched for by the relationship r: Sing;

MATCH (p: PlayList) - [ r: HAVE _ STYLE { name: 'injury' } ] - > (m: Music) RETURN m

Thirdly, the songs searched in the last step are ranked according to song popularity and then are sequentially recommended to the user, for example, the sequential recommendation is as follows: a four-month-old Chinese character is credited with creditability and Nothing letters.

Example three

First, in an interactive scene, music information is extracted according to user voice input, and the music information can be selected from five types of songs, albums, song lists, singers and styles, such as "songs with a same wound" input by a user, and an identified entity [ Style ]: the 'injury feeling' is searched for by the relationship r: Sing;

secondly, recognizing the voice information of the user, acquiring the current emotion information of the user, and extracting music information according to the emotion information and the voice information;

and thirdly, acquiring corresponding music recommendation to the user according to the music information acquired by combining the previous two steps and the search relation.

Example four

secondly, starting a camera to acquire facial information of the user, and identifying the current emotional state of the user through the facial information;

and step three, comprehensively extracting music information by combining the input information of the user and the current emotion of the user, and recommending corresponding new information by searching the relation.

In conclusion, in the information recommendation method provided by the application, the music recommendation function in a man-machine interaction scene is realized, the database knowledge map technology is better utilized as a quick query and recommendation realization means of the information recommendation method provided by the embodiment, the recommendation effect better meets the requirements of users, and the accuracy of the music recommendation system is improved.

The present application further provides a computer-readable storage medium, on which a computer program is stored, and the computer program, when executed by a processor, implements the steps of the information recommendation method in any of the above embodiments.

In the embodiments of the mobile terminal and the computer-readable storage medium provided in the present application, all technical features of the embodiments of the information recommendation method are included, and the expanding and explaining contents of the specification are basically the same as those of the embodiments of the method, and are not described herein again.

Embodiments of the present application also provide a computer program product, which includes computer program code, when the computer program code runs on a computer, the computer is caused to execute the method in the above various possible embodiments.

Embodiments of the present application further provide a chip, which includes a memory and a processor, where the memory is used to store a computer program, and the processor is used to call and run the computer program from the memory, so that a device in which the chip is installed executes the method in the above various possible embodiments.

The above-mentioned serial numbers of the embodiments of the present application are merely for description and do not represent the merits of the embodiments.

The steps in the method of the embodiment of the application can be sequentially adjusted, combined and deleted according to actual needs.

The units in the device in the embodiment of the application can be merged, divided and deleted according to actual needs.

In the present application, the same or similar term concepts, technical solutions and/or application scenario descriptions will be generally described only in detail at the first occurrence, and when the description is repeated later, the detailed description will not be repeated in general for brevity, and when understanding the technical solutions and the like of the present application, reference may be made to the related detailed description before the description for the same or similar term concepts, technical solutions and/or application scenario descriptions and the like which are not described in detail later.

In the present application, each embodiment is described with emphasis, and reference may be made to the description of other embodiments for parts that are not described or illustrated in any embodiment.

The technical features of the technical solution of the present application may be arbitrarily combined, and for brevity of description, all possible combinations of the technical features in the embodiments are not described, however, as long as there is no contradiction between the combinations of the technical features, the scope of the present application should be considered as being described in the present application.

Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, a controlled terminal, or a network device) to execute the method of each embodiment of the present application.

In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. The procedures or functions according to the embodiments of the present application are all or partially generated when the computer program instructions are loaded and executed on a computer. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored on a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by wire (e.g., coaxial cable, fiber optic, digital subscriber line) or wirelessly (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, memory Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.

The above description is only a preferred embodiment of the present application, and not intended to limit the scope of the present application, and all modifications of equivalent structures and equivalent processes, which are made by the contents of the specification and the drawings of the present application, or which are directly or indirectly applied to other related technical fields, are included in the scope of the present application.

Claims

1. An information recommendation method, comprising:

s11, identifying the user intention according to the acquired operation instruction;

and S12, recommending information based on the user intention.

2. The method according to claim 1, wherein the identifying the user intention according to the acquired operation instruction comprises:

inquiring a preset information knowledge graph according to the information and the corresponding information labels to obtain a candidate information set;

and recommending information based on the candidate information set.

3. The method of claim 2, wherein the identifying the obtained operation instruction to obtain information and a corresponding information tag comprises at least one of:

extracting information of the obtained operation instruction based on an information identification technology to obtain information and a corresponding information label;

the method comprises the steps of obtaining the emotion type of a user inputting an operation instruction, and extracting information according to the emotion type of the user and the operation instruction to obtain information and a corresponding information label.

4. The method according to claim 3, wherein the obtaining of the emotion type of the user who inputs the operation instruction includes at least one of:

acquiring a face image of a user inputting an operation instruction, and identifying the face image of the user to obtain an emotion type of the user;

5. The method of claim 2, wherein before querying a predetermined knowledge map of information according to the information and corresponding information labels to obtain a set of candidate information, the method further comprises:

data crawling at least one application to obtain at least one piece of data; wherein each of the data comprises at least one information and an information association relationship;

6. The method of claim 2, wherein the recommending information based on the candidate information set comprises:

7. The method according to claim 6, wherein the sorting the candidate information in the candidate information set according to a preset sorting rule to obtain a sorting result comprises:

acquiring the current value of each candidate information about a preset sorting factor and the weight corresponding to the preset sorting factor;

8. The method according to claim 7, wherein the sorting the candidate information in the candidate information set according to a preset sorting rule to obtain a sorting result comprises:

acquiring historical information playing data;

9. A mobile terminal, characterized in that the mobile terminal comprises: memory, processor, wherein the memory has stored thereon a computer program which, when being executed by the processor, carries out the steps of the information recommendation method according to any one of claims 1 to 8.

10. A readable storage medium, characterized in that the readable storage medium has stored thereon a computer program which, when being executed by a processor, carries out the steps of the information recommendation method according to any one of claims 1 to 8.