CN110096611A - A kind of song recommendations method, mobile terminal and computer readable storage medium - Google Patents
A kind of song recommendations method, mobile terminal and computer readable storage medium Download PDFInfo
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- CN110096611A CN110096611A CN201910333362.5A CN201910333362A CN110096611A CN 110096611 A CN110096611 A CN 110096611A CN 201910333362 A CN201910333362 A CN 201910333362A CN 110096611 A CN110096611 A CN 110096611A
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- 238000003860 storage Methods 0.000 title claims abstract description 21
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- 238000007726 management method Methods 0.000 description 6
- 238000004458 analytical method Methods 0.000 description 5
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/60—Information retrieval; Database structures therefor; File system structures therefor of audio data
- G06F16/63—Querying
- G06F16/632—Query formulation
- G06F16/634—Query by example, e.g. query by humming
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- G—PHYSICS
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- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/60—Information retrieval; Database structures therefor; File system structures therefor of audio data
- G06F16/63—Querying
- G06F16/635—Filtering based on additional data, e.g. user or group profiles
- G06F16/637—Administration of user profiles, e.g. generation, initialization, adaptation or distribution
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/60—Information retrieval; Database structures therefor; File system structures therefor of audio data
- G06F16/63—Querying
- G06F16/638—Presentation of query results
- G06F16/639—Presentation of query results using playlists
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/60—Information retrieval; Database structures therefor; File system structures therefor of audio data
- G06F16/68—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/686—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using information manually generated, e.g. tags, keywords, comments, title or artist information, time, location or usage information, user ratings
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Abstract
The invention discloses a kind of song recommendations methods, are applied to mobile terminal, which comprises obtain audio user data;Obtain the operation note that user is directed to song;According to the corresponding relationship of the audio user data and pre-set audio model and song, list of songs corresponding with the user is obtained;According to the operation note, song to be recommended is matched from the list of songs;Recommended based on the song to be recommended.In addition, the present invention also provides a kind of mobile terminal and a kind of computer readable storage mediums, using the embodiment of the present invention, it is matched by sound to user and Background music resource, and hobby is listened in conjunction with user's song and recommends song to user automatically, reduce user's selection to give song recitals, improves user experience.
Description
Technical field
The present invention relates to field of mobile terminals more particularly to a kind of song recommendations methods, mobile terminal and computer-readable
Storage medium.
Background technique
Mobile terminal makes mobile communication terminal refer to that the computer equipment that can be used on the move, broad sense say packet
Including mobile phone, notebook, POS machine even includes vehicle-mounted computer, and the mobile terminal of narrow sense refers to mobile phone or has a variety of using function
The smart phone of energy, and the application programs such as music player are installed in mobile terminal.
In the prior art, mobile terminal often has simple music playback function, is carried out by music simple
Music recommend, such as according to the task recommendation rule of setting, music age recommendation rules etc., recommend the music to match to objective
Family.
As it can be seen that the existing music way of recommendation can not combine the characteristics of user itself to carry out music recommendation well, use
The experience at family is poor.
Summary of the invention
It is a primary object of the present invention to propose a kind of song recommendations method, mobile terminal and computer-readable storage medium
Matter, it is intended to which solution carries out the simple music way of recommendation in the prior art, and the poor problem of user experience passes through the sound to user
Sound and Background music resource are matched, and are listened to hobby in conjunction with user's song and recommended song to user automatically, and user is reduced
Selection gives song recitals, and improves user experience.
To achieve the above object, the present invention proposes a kind of song recommendations method, is applied to mobile terminal, the method packet
It includes:
Obtain audio user data;
Obtain the operation note that user is directed to song;
According to the corresponding relationship of the audio user data and pre-set audio model and song, acquisition and institute
State the corresponding list of songs of user;
According to the operation note, song to be recommended is matched from the list of songs;
Recommended based on the song to be recommended.
In a kind of preferred embodiment of the invention, the step of the acquisition audio user data, comprising:
Obtain user speech information;
According to the user speech information, audio user data are obtained.
It is described to obtain the step of user is directed to the operation note of song in a kind of preferred embodiment of the invention, comprising:
Determine at least one audio playing software of the mobile terminal installation;
Obtain the historical operation record of each audio playing software, wherein the historical operation record includes at least sound
Happy play history record, collection record, thumb up record, concern record one of.
In a kind of preferred embodiment of the invention, the method also includes:
Receive the song audio of user;
It gives a mark to the song audio of the user;
And song and corresponding marking data are stored in the historical operation record.
It is described according to the audio user data and pre-set sound in a kind of preferred embodiment of the invention
The step of corresponding relationship of frequency model and song, acquisition list of songs corresponding with the user, comprising:
From pre-set audio model, target audio model corresponding with the audio user data is obtained;
Obtain song corresponding with the target audio model;
Using acquired song as list of songs corresponding with the user.
It is described from pre-set audio model in a kind of preferred embodiment of the invention, it obtains and the user
The step of audio data corresponding target audio model, comprising:
Obtain the corresponding audio volume control figure of each pre-set audio model;
Obtain the first audio volume control figure corresponding to the audio user data
Calculate the similarity value of the first audio volume control figure and each audio volume control figure;
According to the similarity value, determining and highest second audio volume control of the first audio volume control figure similarity value
Figure;
Audio model corresponding to the second audio volume control figure is determined as target audio model.
It is described according to the operation note in a kind of preferred embodiment of the invention, it is matched from the list of songs
The step of song to be recommended, comprising:
Obtain the playlist in the operation note;
Obtain the first label of each song in the playlist;
Obtain the second label of each song in the list of songs;
Calculate the similarity value of first label and second label;
According to the similarity value, song to be recommended is determined.
It is described according to the similarity value in a kind of preferred embodiment of the invention, the step of determining song to be recommended,
Include:
The similarity value is arranged according to sequence from big to small;
According to putting in order, preset quantity song is obtained;
The preset quantity song is determined as song to be recommended.
In addition, the mobile terminal includes processor and passes through communication always the present invention also provides a kind of mobile terminal
Line memory connected to the processor;Wherein,
The memory, for storing song recommendations program;
The processor, for executing the song recommendations program, to realize step:
Obtain audio user data;
Obtain the operation note that user is directed to song;
According to the corresponding relationship of the audio user data and pre-set audio model and song, acquisition and institute
State the corresponding list of songs of user;
According to the operation note, song to be recommended is matched from the list of songs;
Recommended based on the song to be recommended;
And any one song recommendations method the step of.
To achieve the above object, the invention proposes a kind of computer readable storage medium, the computer-readable storages
Media storage has one or more program, and one or more of programs can be executed by one or more processor, with
One or more of processors are made to execute following steps:
Obtain audio user data;
Obtain the operation note that user is directed to song;
According to the corresponding relationship of the audio user data and pre-set audio model and song, acquisition and institute
State the corresponding list of songs of user;
According to the operation note, song to be recommended is matched from the list of songs;
Recommended based on the song to be recommended;
And any one song recommendations method the step of.
Therefore, compared to the prior art, song recommendations method proposed by the invention, mobile terminal and computer-readable deposit
Storage media is directed to the operation note of song by obtaining audio user data and user first;Further according to pre-set sound
Frequency model and the corresponding relationship of song, audio user data, obtain list of songs corresponding to the user;And combine user for song
Bent operation note, matches song to be recommended from list of songs;And recommend user.By combining user to be directed to the behaviour of song
Itself audio features of user can be combined in conjunction with the hobby of user and the audio data of user by noting down, and pass through family audio
Model realizes that is combined recommends song to user with the corresponding relationship of song, can carry out in conjunction with audio user feature and hobby
Recommend improve user experience while, also avoid user voluntarily find it is cumbersome caused by song.
Detailed description of the invention
Fig. 1 to realize the present invention in each embodiment an optional mobile terminal hardware structural diagram;
Fig. 2 is the wireless communication system schematic diagram of mobile terminal as shown in Figure 1;
Fig. 3 is an optional flow diagram of song recommendations method provided by the embodiment of the present invention;
Fig. 4 is the optional application scenarios schematic diagram of song recommendations method one provided by the embodiment of the present invention;
Fig. 5 is another optional application scenarios schematic diagram of song recommendations method provided by the embodiment of the present invention;
Fig. 6 is another optional flow diagram of song recommendations method provided by the embodiment of the present invention.
Appended drawing reference:
The object of the invention is realized, the embodiments will be further described with reference to the accompanying drawings for functional characteristics and advantage.
Specific embodiment
It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not intended to limit the present invention.
In subsequent description, it is only using the suffix for indicating such as " module ", " component " or " unit " of element
Be conducive to explanation of the invention, itself there is no a specific meaning.Therefore, " module ", " component " or " unit " can mix
Ground uses.
Terminal can be implemented in a variety of manners.For example, terminal described in the present invention may include such as mobile phone, plate
Computer, laptop, palm PC, personal digital assistant (Personal Digital Assistant, PDA), portable
Media player (Portable Media Player, PMP), navigation device, wearable device, Intelligent bracelet, pedometer etc. move
The fixed terminals such as dynamic terminal, and number TV, desktop computer.
It will be illustrated by taking mobile terminal as an example in subsequent descriptions, it will be appreciated by those skilled in the art that in addition to special
For moving except purpose element, the construction of embodiment according to the present invention can also apply to the terminal of fixed type.
Referring to Fig. 1, a kind of hardware structural diagram of its mobile terminal of each embodiment to realize the present invention, the shifting
Dynamic terminal 100 may include: RF (Radio Frequency, 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, the components such as memory 109, processor 110 and power supply 111.It will be understood by those skilled in the art that shown in Fig. 1
Mobile terminal structure does not constitute the restriction to mobile terminal, and mobile terminal may include components more more or fewer than diagram,
Perhaps certain components or different component layouts are combined.
It is specifically introduced below with reference to all parts of the Fig. 1 to mobile terminal:
Radio frequency unit 101 can be used for receiving and sending messages or communication process in, signal sends and receivees, specifically, by base station
Downlink information receive after, to processor 110 handle;In addition, the data of uplink are sent to base station.In general, radio frequency unit 101
Including but not limited to antenna, at least one amplifier, transceiver, coupler, low-noise amplifier, duplexer etc..In addition, penetrating
Frequency unit 101 can also be communicated with network and other equipment by wireless communication.Any communication can be used in above-mentioned wireless communication
Standard or agreement, including but not limited to GSM (Global System of Mobile communication, global system for mobile telecommunications
System), GPRS (General Packet Radio Service, general packet radio service), CDMA2000 (Code
Division Multiple Access 2000, CDMA 2000), WCDMA (WidebandCode Division
Multiple Access, wideband code division multiple access), TD-SCDMA (Time Division-Synchronous Code
Division Multiple Access, TD SDMA), FDD-LTE (Frequency Division
Duplexing-Long Term Evolution, frequency division duplex long term evolution) and TDD-LTE (Time Division
Duplexing-Long Term Evolution, time division duplex long term evolution) etc..
WiFi belongs to short range wireless transmission technology, and mobile terminal can help user to receive and dispatch electricity by WiFi module 102
Sub- mail, browsing webpage and access streaming video etc., it provides wireless broadband internet access for user.Although Fig. 1 shows
Go out WiFi module 102, but it is understood that, and it is not belonging to must be configured into for mobile terminal, it completely can be according to need
It to omit within the scope of not changing the essence of the invention.
Audio output unit 103 can be in call signal reception pattern, call mode, record mould in mobile terminal 100
When under the isotypes such as formula, speech recognition mode, broadcast reception mode, by radio frequency unit 101 or WiFi module 102 it is received or
The audio data stored in memory 109 is converted into audio signal and exports to be sound.Moreover, audio output unit 103
Audio output relevant to the specific function that mobile terminal 100 executes can also be provided (for example, call signal receives sound, letter
Breath receives sound etc.).Audio output unit 103 may include loudspeaker, buzzer etc..
A/V input unit 104 is for receiving audio or video signal.A/V input unit 104 may include graphics processor
(Graphics Processing Unit, GPU) 1041 and microphone 1042, graphics processor 1041 is in video acquisition mode
Or the image data of the static images or video obtained in image capture mode by image capture apparatus (such as camera) carries out
Reason.Treated, and picture frame may be displayed on display unit 106.Through graphics processor 1041, treated that picture frame can be deposited
Storage is sent in memory 109 (or other storage mediums) or via radio frequency unit 101 or WiFi module 102.Mike
Wind 1042 can connect in telephone calling model, logging mode, speech recognition mode etc. operational mode via microphone 1042
Quiet down sound (audio data), and can be audio data by such acoustic processing.Audio that treated (voice) data can
To be converted to the format output that can be sent to mobile communication base station via radio frequency unit 101 in the case where telephone calling model.
Microphone 1042 can be implemented various types of noises elimination (or inhibition) algorithms and send and receive sound to eliminate (or inhibition)
The noise generated during frequency signal or interference.
Mobile terminal 100 further includes at least one sensor 105, such as optical sensor, motion sensor and other biographies
Sensor.Specifically, optical sensor includes ambient light sensor and proximity sensor, wherein ambient light sensor can be according to environment
The light and shade of light adjusts the brightness of display panel 1061, and proximity sensor can close when mobile terminal 100 is moved in one's ear
Display panel 1061 and/or backlight.As a kind of motion sensor, accelerometer sensor can detect in all directions (general
For three axis) size of acceleration, it can detect that size and the direction of gravity when static, can be used to identify the application of mobile phone posture
(such as horizontal/vertical screen switching, dependent game, magnetometer pose calibrating), Vibration identification correlation function (such as pedometer, percussion) etc.;
The fingerprint sensor that can also configure as mobile phone, pressure sensor, iris sensor, molecule sensor, gyroscope, barometer,
The other sensors such as hygrometer, thermometer, infrared sensor, details are not described herein.
Display unit 106 is for showing information input by user or being supplied to the information of user.Display unit 106 can wrap
Display panel 1061 is included, liquid crystal display (Liquid Crystal Display, LCD), Organic Light Emitting Diode can be used
Forms such as (Organic Light-Emitting Diode, OLED) configure display panel 1061.
User input unit 107 can be used for receiving the number or character information of input, and generate the use with mobile terminal
Family setting and the related key signals input of function control.Specifically, user input unit 107 may include touch panel 1071 with
And other input equipments 1072.Touch panel 1071, also referred to as touch screen collect the touch operation of user on it or nearby
(for example user uses any suitable objects or attachment such as finger, stylus on touch panel 1071 or in touch panel 1071
Neighbouring operation), and corresponding attachment device is driven according to preset formula.Touch panel 1071 may include touch detection
Two parts of device and touch controller.Wherein, the touch orientation of touch detecting apparatus detection user, and detect touch operation band
The signal come, transmits a signal to touch controller;Touch controller receives touch information from touch detecting apparatus, and by it
It is converted into contact coordinate, then gives processor 110, and order that processor 110 is sent can be received and executed.In addition, can
To realize touch panel 1071 using multiple types such as resistance-type, condenser type, infrared ray and surface acoustic waves.In addition to touch panel
1071, user input unit 107 can also include other input equipments 1072.Specifically, other input equipments 1072 can wrap
It includes but is not limited in physical keyboard, function key (such as volume control button, switch key etc.), trace ball, mouse, operating stick etc.
It is one or more, specifically herein without limitation.
Further, touch panel 1071 can cover display panel 1061, when touch panel 1071 detect on it or
After neighbouring touch operation, processor 110 is sent to determine the type of touch event, is followed by subsequent processing device 110 according to touch thing
The type of part provides corresponding visual output on display panel 1061.Although in Fig. 1, touch panel 1071 and display panel
1061 be the function that outputs and inputs of realizing mobile terminal as two independent components, but in certain embodiments, it can
The function that outputs and inputs of mobile terminal is realized so that touch panel 1071 and display panel 1061 is integrated, is not done herein specifically
It limits.
Interface unit 108 be used as at least one external device (ED) connect with mobile terminal 100 can by interface.For example,
External device (ED) may include wired or wireless headphone port, external power supply (or battery charger) port, wired or nothing
Line data port, memory card port, the port for connecting the device with identification module, audio input/output (I/O) end
Mouth, video i/o port, ear port etc..Interface unit 108 can be used for receiving the input from external device (ED) (for example, number
It is believed that breath, electric power etc.) and the input received is transferred to one or more elements in mobile terminal 100 or can be with
For transmitting data between mobile terminal 100 and external device (ED).
Memory 109 can be used for storing software program and various data.Memory 109 can mainly include storing program area
The storage data area and, wherein storing program area can (such as the sound of application program needed for storage program area, at least one function
Sound playing function, image player function etc.) etc.;Storage data area can store according to mobile phone use created data (such as
Audio data, phone directory etc.) etc..In addition, memory 109 may include high-speed random access memory, it can also include non-easy
The property lost memory, a for example, at least disk memory, flush memory device or other volatile solid-state parts.
Processor 110 is the control centre of mobile terminal, utilizes each of various interfaces and the entire mobile terminal of connection
A part by running or execute the software program and/or module that are stored in memory 109, and calls and is stored in storage
Data in device 109 execute the various functions and processing data of mobile terminal, to carry out integral monitoring to mobile terminal.Place
Managing device 110 may include one or more processing units;Preferably, processor 110 can integrate application processor and modulatedemodulate is mediated
Manage device, wherein the main processing operation system of application processor, user interface and application program etc., modem processor is main
Processing wireless communication.It is understood that above-mentioned modem processor can not also be integrated into processor 110.
Mobile terminal 100 can also include the power supply 111 (such as battery) powered to all parts, it is preferred that power supply 111
Can be logically contiguous by power-supply management system and processor 110, to realize management charging by power-supply management system, put
The functions such as electricity and power managed.
Although Fig. 1 is not shown, mobile terminal 100 can also be including bluetooth module etc., and details are not described herein.
Embodiment to facilitate the understanding of the present invention, the communications network system that mobile terminal of the invention is based below into
Row description.
Referring to Fig. 2, Fig. 2 is a kind of communications network system architecture diagram provided in an embodiment of the present invention, the communication network system
System is the LTE system of universal mobile communications technology, which includes UE (User Equipment, the use of successively communication connection
Family equipment) (the land EvolvedUMTS Terrestrial Radio Access Network, evolved UMTS 201, E-UTRAN
Ground wireless access network) 202, EPC (Evolved Packet Core, evolved packet-based core networks) 203 and operator IP operation
204。
Specifically, UE201 can be above-mentioned terminal 100, and details are not described herein again.
E-UTRAN202 includes eNodeB2021 and other eNodeB2022 etc..Wherein, eNodeB2021 can be by returning
Journey (backhaul) (such as X2 interface) is connect with other eNodeB2022, and eNodeB2021 is connected to EPC203,
ENodeB2021 can provide the access of UE201 to EPC203.
EPC203 may include MME (Mobility Management Entity, mobility management entity) 2031, HSS
(Home Subscriber Server, home subscriber server) 2032, other MME2033, SGW (Serving GateWay,
Gateway) 2034, PGW (PDN GateWay, grouped data network gateway) 2035 and PCRF (Policy and Charging
Rules Function, policy and rate functional entity) 2036 etc..Wherein, MME2031 is between processing UE201 and EPC203
The control node of signaling, provides carrying and connection management.HSS2032 is for providing some registers to manage such as homing position
The function of register (not shown) etc, and preserve the dedicated letters of users such as some related service features, data rates
Breath.All customer data can be sent by SGW2034, PGW2035 can provide UE201 IP address distribution and
Other functions, PCRF2036 are the strategy and charging control policy decision point of business data flow and IP bearing resource, it is strategy
Available strategy and charging control decision are selected and provided with charge execution function unit (not shown).
IP operation 204 may include internet, Intranet, IMS (IP Multimedia Subsystem, IP multimedia
System) or other IP operations etc..
Although above-mentioned be described by taking LTE system as an example, those skilled in the art should know the present invention is not only
Suitable for LTE system, be readily applicable to other wireless communication systems, such as GSM, CDMA2000, WCDMA, TD-SCDMA with
And the following new network system etc., herein without limitation.
Based on above-mentioned mobile terminal hardware configuration and communications network system, each embodiment of the method for the present invention is proposed.
To solve prior art problem, the embodiment of the present invention proposes a kind of song recommendations method, mobile terminal and calculating
Machine readable storage medium storing program for executing, the technical solution of the present invention is further elaborated in the following with reference to the drawings and specific embodiments.
A kind of song recommendations method provided in an embodiment of the present invention, is applied to mobile terminal, and Fig. 3 is implemented to realize the present invention
One optional structural schematic diagram of song recommendations method provided by example, as shown in figure 3, the song recommendations method includes following step
It is rapid:
S301 obtains audio user data.
It is understood that sound pick-up outfit is both provided with above mobile terminal, such as microphone, by carrying out language in user
Sound call, recorder can obtain the audio data of user when unlatching.Therefore, mobile terminal can collect the audio of user
Data.
It should be noted that mobile terminal can get the audio data of multiple users, for example, what mobile terminal received
Noise (other users audio data in addition to the user) or multiple users share a mobile terminal.So mobile terminal
The audio data of a not month user can be obtained respectively, and is analyzed respectively.
It will be appreciated by persons skilled in the art that the tone color of each user is different, tone color refers to different sound
Frequency show in terms of waveform always there is distinguished characteristic, different object vibrations has the characteristics that different.
Therefore, in a kind of implementation of the invention, after user opens sound pick-up outfit, at least one end audio number is obtained
According to by man-machine interactive operation, user being asked to be confirmed whether to analyze the end audio data, if so, mobile terminal can be with
Frequency analysis is carried out to audio data, and then distinguishes user, and stored the audio data of user respectively.
Therefore, in another implementation of the invention, after obtaining the call voice of user, the voice of the machine is obtained
Data.Due to call voice can be multiple, and then can by man-machine interactive operation, mobile terminal can to audio data into
Line frequency analysis, and then user is distinguished, and stored the audio data of user respectively.
It, can be by leading to after obtaining the audio data of each user in another implementation of the invention
Overfrequency analysis, after carrying out user's differentiation, acquisition is main to use user, and then distinguishes noise.It specifically obtains main
It can be distinguished by the audio data size of acquisition using user, user corresponding to amount of audio data maximum is determined as
Mainly use user.
And it is saved in when mobile terminal receives audio data by transmission tool (such as chat tool, mailbox etc.)
It is local, and after mobile terminal or user's operation triggering, the acquisition for mobile terminal section audio data, and analyze.
S302 obtains the operation note that user is directed to song.
It should be noted that the music player software that mobile terminal is installed can record user playback of songs record,
Purchaser record, collection record etc., these operations are operation note.
It in a kind of implementation of the invention, takes the mobile phone as an example, the music player installed in statistics mobile phone first, needle
The operation note of each music player is counted, the operation note that each music player is directed to song is obtained.
In practical implementation, step S101 and step S102 be may be performed simultaneously, and can also first carry out step S101 again
Step S102 is executed, step S102 can also be first carried out and execute step S101 again, the embodiment of the present invention is not specifically limited herein.
S303 is obtained according to the corresponding relationship of the audio user data and pre-set audio model and song
List of songs corresponding with the user.
In a kind of implementation of the invention, multiple audio models are can store in mobile terminal, specifically, audio mould
Type is the waveform diagram of audio user, embodies the sound frequency characteristic of user.And it is understood that song is that singer drills
It sings, the audio of singer has certain characteristic, according to this characteristic, sings using the song for meeting its characteristic voice as corresponding
Song, to realize the corresponding relationship of song and audio model.
In another implementation of the invention, it can store multiple audio models in database and there is corresponding relationship
Song, mobile terminal passes through and data communication, obtain database in audio model and corresponding song.
In a kind of embodiment of the invention, from pre-set audio model, obtain and the audio user data phase
Corresponding target audio model;Obtain song corresponding with the target audio model;Using acquired song as with it is described
The corresponding list of songs of user.
It is understood that can be incited somebody to action due to the sound frequency data that can obtain user from the audio data of user
Sound frequency data carry out being depicted as one section of waveform diagram, to reflect the sound frequency of user.And it can also be with by audio model
Obtain corresponding waveform diagram.Therefore, then indicate that the sound of two people is more alike when the audio volume control figure of two people the similar, thus
Sounding is also more similar, obtains audio model corresponding with audio user data based on this and is determined as target audio model.
Since each audio model is to have preset corresponding song, it is possible to obtain target audio model
Corresponding song.
S304 matches song to be recommended according to the operation note from the list of songs.
It should be noted that step S303 is the relationship of the audio data according to user and audio model, diaphone is obtained
The list of songs of frequency model, matched is the characteristic of voice.But the hobby of each user is different, so the present invention is implemented
In example, by the operation note of user, song screening is carried out again from list of songs.
In a specific embodiment of the present invention, by obtaining the playlist in the operation note;Described in acquisition
First label of each song in playlist;Obtain the second label of each song in the list of songs;Calculate described
The similarity value of one label and second label;According to the similarity value, song to be recommended is determined.
Label in the embodiment of the present invention can be singer, categorizing songs, singer's country origin, song age, due to right
Song adds label not a record company or website mechanism, then label can be different, and each song
Label can be at least one.Therefore, the phase of determining two labels is judged in the embodiment of the present invention by the similarity of label
Like degree.
Specifically, the similarity of label can use the numerical procedure of keyword similarity, calculated for example, by using word2vec
Method is a kind of efficient algorithm model that word is characterized as to real number value vector, and specific calculating process is the prior art, and the present invention is real
Applying example, this will not be repeated here.
In the similarity that label has been determined and then according to the similarity value, by the similarity value according to from greatly to
Small sequence is arranged;According to putting in order, preset quantity song is obtained;By the preset quantity song be determined as to
Recommend song.
It is understood that having 5 songs in list of songs if there is 10 songs in playlist, then 10 songs
In the corresponding label of each song form a vector.So for any one song in playlist, then 5 can be generated
Similarity value, 10 songs can generate 5*10=50 similarity value.Then 50 similarities are directly ranked up, are therefrom obtained
Preset quantity song is taken, for example, obtaining 3 songs from 10 songs, is then arranged in front in 50 similarity values of acquisition
Three similarity values, and then determine that these three are worth the song in corresponding list of songs.
S305 is recommended based on the song to be recommended.
By step S305 it is known that the song obtained, be song label similarity in its label and playlist most
It is high, thus be considered as with the song correlation highest in playlist, since the history that the song in playlist is user is broadcast
The corresponding song of operation such as put, collect, be represented as user likes song, then illustrating that song to be recommended is liked singing with user
Bent similarity is higher, so recommending user.
Therefore, using song recommendations method provided by the invention, first by obtaining audio user data and user's needle
Operation note to song;Further according to the corresponding relationship of pre-set audio model and song, audio user data, obtain with
The corresponding list of songs of user;And user is combined to be directed to the operation note of song, song to be recommended is matched from list of songs;And
Recommend user.By combining user can be in conjunction with the hobby of user and the audio data energy of user for the operation note of song
Realize that is combined recommends to user with the corresponding relationship of song in conjunction with itself audio features of user, and by family audio model
Song also avoids user and voluntarily seeks while capable of carrying out recommending to improve user experience in conjunction with audio user feature and hobby
It looks for cumbersome caused by song.
The embodiment of the invention also provides a kind of for properly by song recommendations to be recommended to the scheme of user, inspects periodically
The notepad that the calendar or memorandum of mobile terminal and other expression users are formed, occurs singing, sings K, table in formation
When drilling equal wordings, can be pushed by way of dialog box to user, as shown in figure 4, ask user be confirmed whether to receive it is to be recommended
Song.If it is, song to be recommended can be shown in music player, as shown in figure 5, and with color or its
He marks and reminds, and distinguishes convenient for user.
In a kind of embodiment of the invention, the step of the acquisition audio user data, comprising: obtain user speech letter
Breath;According to the user speech information, audio user data are obtained.By the call voice of user, recording voice, receive
The modes such as voice document obtain user speech information, and therefrom extract the corresponding audio data of user.
In order to comprehensively obtain operation of the user to song, the step of user is directed to the operation note of song is obtained, comprising:
Determine at least one audio playing software of the mobile terminal installation;Obtain the historical operation note of each audio playing software
Record, wherein historical operation record includes at least music historical record, collection record, thumbs up record, pays close attention to one in recording
Kind.
In the embodiment of the present invention, the song audio of user can also be received in order to operate interaction;To the song of the user
Audio is given a mark;And song and corresponding marking data are stored in the historical operation record.
The song audio marking of user can be stored in by singing grading software realization, and by the data of marking
It in historical operation record, and then may be arranged as the scoring of song, realize the hobby of user and the practical performance result of user
It is combined, improves interactive and availability.
The present invention provides a kind of specific determining target audio model implementation method, comprising: obtains pre-set each
The corresponding audio volume control figure of a audio model;Obtain the first audio volume control figure corresponding to the audio user data;Calculate institute
State the similarity value of the first audio volume control figure and each audio volume control figure;According to the similarity value, determine and described first
The highest second audio volume control figure of audio volume control figure similarity value;Audio model corresponding to the second audio volume control figure is true
It is set to target audio model.
It is understood that whether two waveforms can be measured by similarity in similar variation tendency, it is similar
Angle value is higher, then the variation of two curves is more similar.
Since audio model is pre-set, then its avatar has determined, it is possible to setting and the
The form of one audio volume control figure is identical, such as is the frequency diagram of sound.The similarity calculating method of two curves can be with are as follows: Europe
Family name's distance, standardization Euclidean distance, cosine angle, manhatton distance, this will not be repeated here for the embodiment of the present invention.
To obtain the highest audio volume control figure of similarity, then it represents that the tone color of user and the tone color of the model are close, so
Song corresponding to the second audio volume control figure is determined afterwards.
As shown in fig. 6, the embodiment of the present invention provides a kind of specific implementation of song recommendations, include the following steps:
S610 extracts user speech information and establishes sound model.
S620, obtain user listens song preference.
S630 obtains music sources and sound model, and establishes corresponding relationship.
S640, obtains the stroke planning chart of user's future time section, and judges whether to need to carry out song recommendations to user.
S650, if so, song to be recommended is recommended to user.
S660 receives user and sings audio, and gives a mark.
It should be noted that the data for the hair chat voice that can usually be made a phone call according to user, extract the sound letter of user
Breath, and establish sound model.Usually listen the song for recording extraction user of song inclined by user by music player software again
It is good, such as the style (rock and roll, folk song etc.) in age of the singer, song that listen to, song, then each sound is extracted by system background
The audio-frequency information of happy resource is established and suggests matched performance sound model.The schedule for obtaining user, if there is party in the recent period
Etc collective activity, backstage in advance according to " sound model " and " music listens to hobby " automatic push of user is suitble to performance
Song carries out study performance.After user has sung corresponding song, system provides marking, helps whether user confirms the song
Whether really it is suitble to him/her sing and sing skilled.
It is matched by sound to user and Background music resource, and the schedule of user and song is combined to listen to
Hobby is automatic to recommend song study to sing to user in advance, reduces user and selects the difficulty to give song recitals, and can more be bonded use
The performance feature and hobby at family itself improve user experience.
Further, the present invention provides a kind of mobile terminals, and please continue to refer to Fig. 1, the mobile terminal includes processing
Device 110 and the memory 109 being connect by communication bus with processor 110;Wherein,
The memory 109, for storing song recommendations program;
The processor 110, for executing song recommendations program, to perform the steps of
Obtain audio user data;
Obtain the operation note that user is directed to song;
According to the corresponding relationship of the audio user data and pre-set audio model and song, acquisition and institute
State the corresponding list of songs of user;
According to the operation note, song to be recommended is matched from the list of songs;
Recommended based on the song to be recommended.
Therefore, in a kind of implementation of the invention, after user opens sound pick-up outfit, at least one end audio number is obtained
According to by man-machine interactive operation, user being asked to be confirmed whether to analyze the end audio data, if so, mobile terminal can be with
Frequency analysis is carried out to audio data, and then distinguishes user, and stored the audio data of user respectively.
It, can be by leading to after obtaining the audio data of each user in another implementation of the invention
Overfrequency analysis, after carrying out user's differentiation, acquisition is main to use user, and then distinguishes noise.It specifically obtains main
It can be distinguished by the audio data size of acquisition using user, user corresponding to amount of audio data maximum is determined as
Mainly use user.
And it is saved in when mobile terminal receives audio data by transmission tool (such as chat tool, mailbox etc.)
It is local, and after mobile terminal or user's operation triggering, the acquisition for mobile terminal section audio data, and analyze.
It should be noted that the music player software that mobile terminal is installed can record user playback of songs record,
Purchaser record, collection record etc., these operations are operation note.
It in a kind of implementation of the invention, takes the mobile phone as an example, the music player installed in statistics mobile phone first, needle
The operation note of each music player is counted, the operation note that each music player is directed to song is obtained.
In a kind of implementation of the invention, multiple audio models are can store in mobile terminal, specifically, audio mould
Type is the waveform diagram of audio user, embodies the sound frequency characteristic of user.And it is understood that song is that singer drills
It sings, the audio of singer has certain characteristic, according to this characteristic, sings using the song for meeting its characteristic voice as corresponding
Song, to realize the corresponding relationship of song and audio model.
In another implementation of the invention, it can store multiple audio models in database and there is corresponding relationship
Song, mobile terminal passes through and data communication, obtain database in audio model and corresponding song.
In a kind of embodiment of the invention, from pre-set audio model, obtain and the audio user data phase
Corresponding target audio model;Obtain song corresponding with the target audio model;Using acquired song as with it is described
The corresponding list of songs of user.
It is understood that can be incited somebody to action due to the sound frequency data that can obtain user from the audio data of user
Sound frequency data carry out being depicted as one section of waveform diagram, to reflect the sound frequency of user.And it can also be with by audio model
Obtain corresponding waveform diagram.Therefore, then indicate that the sound of two people is more alike when the audio volume control figure of two people the similar, thus
Sounding is also more similar, obtains audio model corresponding with audio user data based on this and is determined as target audio model.
Since each audio model is to have preset corresponding song, it is possible to obtain target audio model
Corresponding song.
Specifically, the similarity of label can use the numerical procedure of keyword similarity, calculated for example, by using word2vec
Method is a kind of efficient algorithm model that word is characterized as to real number value vector, and specific calculating process is the prior art, and the present invention is real
Applying example, this will not be repeated here.
In the similarity that label has been determined and then according to the similarity value, by the similarity value according to from greatly to
Small sequence is arranged;According to putting in order, preset quantity song is obtained;By the preset quantity song be determined as to
Recommend song.
Therefore, using song recommendations method provided by the invention, first by obtaining audio user data and user's needle
Operation note to song;Further according to the corresponding relationship of pre-set audio model and song, audio user data, obtain with
The corresponding list of songs of user;And user is combined to be directed to the operation note of song, song to be recommended is matched from list of songs;And
Recommend user.By combining user can be in conjunction with the hobby of user and the audio data energy of user for the operation note of song
Realize that is combined recommends to user with the corresponding relationship of song in conjunction with itself audio features of user, and by family audio model
Song also avoids user and voluntarily seeks while capable of carrying out recommending to improve user experience in conjunction with audio user feature and hobby
It looks for cumbersome caused by song.
Optionally, the processor 110, for executing song recommendations program, to perform the steps of
Obtain user speech information;
According to the user speech information, audio user data are obtained.
Optionally, the processor 110, for executing song recommendations program, to perform the steps of
Determine at least one audio playing software of the mobile terminal installation;
Obtain the historical operation record of each audio playing software, wherein the historical operation record includes at least sound
Happy play history record, collection record, thumb up record, concern record one of.
Optionally, the processor 110, for executing song recommendations program, to perform the steps of
Receive the song audio of user;
It gives a mark to the song audio of the user;
And song and corresponding marking data are stored in the historical operation record.
Optionally, the processor 110, for executing song recommendations program, to perform the steps of
From pre-set audio model, target audio model corresponding with the audio user data is obtained;
Obtain song corresponding with the target audio model;
Using acquired song as list of songs corresponding with the user.
Optionally, the processor 110, for executing song recommendations program, to perform the steps of
Obtain the first audio volume control figure corresponding to the audio user data
Calculate the similarity value of the first audio volume control figure and each audio volume control figure;
According to the similarity value, determining and highest second audio volume control of the first audio volume control figure similarity value
Figure;
Audio model corresponding to the second audio volume control figure is determined as target audio model.
Optionally, the processor 110, for executing song recommendations program, to perform the steps of
Obtain the playlist in the operation note;
Obtain the first label of each song in the playlist;
Obtain the second label of each song in the list of songs;
Calculate the similarity value of first label and second label;
According to the similarity value, song to be recommended is determined.
Optionally, the processor 110, for executing song recommendations program, to perform the steps of
The similarity value is arranged according to sequence from big to small;
According to putting in order, preset quantity song is obtained;
The preset quantity song is determined as song to be recommended.
Compared to the prior art, the mobile terminal that the embodiment of the present invention is proposed, first by obtaining audio user data
And user is directed to the operation note of song;Further according to the corresponding relationship of pre-set audio model and song, audio user
Data obtain list of songs corresponding to the user;And combine user be directed to song operation note, from list of songs matching to
Recommend song;And recommend user.Hobby and the user of user can be combined for the operation note of song by combination user
Audio data can in conjunction with user itself audio features, and by family audio model with song corresponding relationship realization combine
Recommend song to user, while capable of carrying out recommending to improve user experience in conjunction with audio user feature and hobby, also avoid
User voluntarily finds caused by song cumbersome.
Further, the present invention also provides a kind of computer readable storage medium, the computer readable storage mediums
It is stored with one or more program, one or more of programs can be executed by one or more processor, to realize
Following steps:
Obtain audio user data;
Obtain the operation note that user is directed to song;
According to the corresponding relationship of the audio user data and pre-set audio model and song, acquisition and institute
State the corresponding list of songs of user;
According to the operation note, song to be recommended is matched from the list of songs;
Recommended based on the song to be recommended.
Optionally, one or more of programs are also executed by one or more of processors, as follows to realize
Step:
Obtain user speech information;
According to the user speech information, audio user data are obtained.
Optionally, one or more of programs are also executed by one or more of processors, as follows to realize
Step:
Determine at least one audio playing software of the mobile terminal installation;
Obtain the historical operation record of each audio playing software, wherein the historical operation record includes at least sound
Happy play history record, collection record, thumb up record, concern record one of.
Optionally, one or more of programs are also executed by one or more of processors, as follows to realize
Step:
Receive the song audio of user;
It gives a mark to the song audio of the user;
And song and corresponding marking data are stored in the historical operation record.
Optionally, one or more of programs are also executed by one or more of processors, as follows to realize
Step:
From pre-set audio model, target audio model corresponding with the audio user data is obtained;
Obtain song corresponding with the target audio model;
Using acquired song as list of songs corresponding with the user.
Optionally, one or more of programs are also executed by one or more of processors, as follows to realize
Step:
Obtain the corresponding audio volume control figure of each pre-set audio model;
Obtain the first audio volume control figure corresponding to the audio user data
Calculate the similarity value of the first audio volume control figure and each audio volume control figure;
According to the similarity value, determining and highest second audio volume control of the first audio volume control figure similarity value
Figure;
Audio model corresponding to the second audio volume control figure is determined as target audio model.
Optionally, one or more of programs are also executed by one or more of processors, as follows to realize
Step:
Obtain the playlist in the operation note;
Obtain the first label of each song in the playlist;
Obtain the second label of each song in the list of songs;
Calculate the similarity value of first label and second label;
According to the similarity value, song to be recommended is determined.
Optionally, one or more of programs are also executed by one or more of processors, as follows to realize
Step:
The similarity value is arranged according to sequence from big to small;
According to putting in order, preset quantity song is obtained;
The preset quantity song is determined as song to be recommended.
Compared to the prior art, the computer readable storage medium that the embodiment of the present invention is proposed is used by obtaining first
Family audio data and user are directed to the operation note of song;It is closed further according to pre-set audio model is corresponding with song
System, audio user data, obtain list of songs corresponding to the user;And combine user for the operation note of song, from song
Song to be recommended is matched in list;And recommend user.By combining user that can combine user for the operation note of song
Hobby and user audio data can in conjunction with user itself audio features, and by family audio model it is corresponding with song pass
System realizes that is combined recommends song to user, can carry out recommending to improve user experience in conjunction with audio user feature and hobby
Meanwhile also avoid user voluntarily find it is cumbersome caused by song.
The serial number of the above embodiments of the invention is only for description, does not represent the advantages or disadvantages of the embodiments.
Through the above description of the embodiments, those skilled in the art can be understood that above-described embodiment side
Method can be realized by means of software and necessary general hardware platform, naturally it is also possible to by hardware, but in many cases
The former is more preferably embodiment.Based on this understanding, technical solution of the present invention substantially in other words does the prior art
The part contributed out can be embodied in the form of software products, which is stored in a storage medium
In (such as ROM/RAM, magnetic disk, CD), including some instructions are used so that a mobile terminal (can be mobile phone, computer, clothes
Business device, air conditioner or the network equipment, robot etc.) execute method described in each embodiment of the present invention.
The above is only a preferred embodiment of the present invention, is not intended to limit the scope of the invention, all to utilize this hair
Equivalent structure or equivalent flow shift made by bright specification and accompanying drawing content is applied directly or indirectly in other relevant skills
Art field, is included within the scope of the present invention.
Claims (10)
1. a kind of song recommendations method, which is characterized in that be applied to mobile terminal, which comprises
Obtain audio user data;
Obtain the operation note that user is directed to song;
According to the corresponding relationship of the audio user data and pre-set audio model and song, obtain and the use
The corresponding list of songs in family;
According to the operation note, song to be recommended is matched from the list of songs;
Recommended based on the song to be recommended.
2. song recommendations method according to claim 1, which is characterized in that the step of the acquisition audio user data,
Include:
Obtain user speech information;
According to the user speech information, audio user data are obtained.
3. song recommendations method according to claim 1, which is characterized in that described to obtain user for the operation note of song
The step of record, comprising:
Determine at least one audio playing software of the mobile terminal installation;
Obtain the historical operation record of each audio playing software, wherein the historical operation record is broadcast including at least music
One of put historical record, collection record, thumb up record, concern record.
4. song recommendations method according to claim 3, which is characterized in that the method also includes:
Receive the song audio of user;
It gives a mark to the song audio of the user;
And song and corresponding marking data are stored in the historical operation record.
5. song recommendations method according to claim 1, which is characterized in that it is described according to the audio user data, with
And the corresponding relationship of pre-set audio model and song obtains the step of list of songs corresponding with the user, comprising:
From pre-set audio model, target audio model corresponding with the audio user data is obtained;
Obtain song corresponding with the target audio model;
Using acquired song as list of songs corresponding with the user.
6. song recommendations method according to claim 5, which is characterized in that it is described from pre-set audio model,
The step of obtaining target audio model corresponding with the audio user data, comprising:
Obtain the corresponding audio volume control figure of each pre-set audio model;
Obtain the first audio volume control figure corresponding to the audio user data
Calculate the similarity value of the first audio volume control figure and each audio volume control figure;
According to the similarity value, the determining and highest second audio volume control figure of the first audio volume control figure similarity value;
Audio model corresponding to the second audio volume control figure is determined as target audio model.
7. song recommendations method according to claim 1, which is characterized in that it is described according to the operation note, from described
The step of song to be recommended is matched in list of songs, comprising:
Obtain the playlist in the operation note;
Obtain the first label of each song in the playlist;
Obtain the second label of each song in the list of songs;
Calculate the similarity value of first label and second label;
According to the similarity value, song to be recommended is determined.
8. song recommendations method according to claim 7, which is characterized in that it is described according to the similarity value, determine to
The step of recommending song, comprising:
The similarity value is arranged according to sequence from big to small;
According to putting in order, preset quantity song is obtained;
The preset quantity song is determined as song to be recommended.
9. a kind of mobile terminal, which is characterized in that the mobile terminal includes processor and by communication bus and processor
The memory of connection;Wherein,
The memory, for storing song recommendations program;
The processor, for executing the song recommendations program, the step of the song recommendations method of any one.
10. a kind of computer readable storage medium, which is characterized in that the computer-readable recording medium storage have one or
Multiple programs, one or more of programs can be executed by one or more processor, so that one or more of
Processor executes the step of song recommendations methods as described in any item such as claim 1-8.
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Cited By (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111258484A (en) * | 2020-02-12 | 2020-06-09 | 北京奇艺世纪科技有限公司 | Video playing method and device, electronic equipment and storage medium |
CN111309959A (en) * | 2020-02-10 | 2020-06-19 | 清华大学 | Song recommendation method and device |
CN111488485A (en) * | 2020-04-16 | 2020-08-04 | 北京雷石天地电子技术有限公司 | Music recommendation method based on convolutional neural network, storage medium and electronic device |
CN112040303A (en) * | 2020-07-22 | 2020-12-04 | 咪咕音乐有限公司 | Audio and video playing method and device, electronic equipment and storage medium |
CN112417201A (en) * | 2019-08-22 | 2021-02-26 | 北京峰趣互联网信息服务有限公司 | Audio information pushing method and system, electronic equipment and computer readable medium |
CN113126951A (en) * | 2021-04-16 | 2021-07-16 | 深圳地平线机器人科技有限公司 | Audio playing method and device, computer readable storage medium and electronic equipment |
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CN116156260A (en) * | 2022-12-30 | 2023-05-23 | 深圳创维-Rgb电子有限公司 | Song recommendation method and device and television main chip |
WO2023142941A1 (en) * | 2022-01-26 | 2023-08-03 | 花瓣云科技有限公司 | Playing record display method and related device |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20120023403A1 (en) * | 2010-07-21 | 2012-01-26 | Tilman Herberger | System and method for dynamic generation of individualized playlists according to user selection of musical features |
CN107798107A (en) * | 2017-10-31 | 2018-03-13 | 维沃移动通信有限公司 | The method and mobile device of song recommendations |
CN107862059A (en) * | 2017-11-14 | 2018-03-30 | 维沃移动通信有限公司 | A kind of song recommendations method and mobile terminal |
CN109582821A (en) * | 2018-11-27 | 2019-04-05 | 努比亚技术有限公司 | A kind of music object recommendation method, terminal and computer readable storage medium |
CN109582817A (en) * | 2018-10-30 | 2019-04-05 | 努比亚技术有限公司 | A kind of song recommendations method, terminal and computer readable storage medium |
-
2019
- 2019-04-24 CN CN201910333362.5A patent/CN110096611A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20120023403A1 (en) * | 2010-07-21 | 2012-01-26 | Tilman Herberger | System and method for dynamic generation of individualized playlists according to user selection of musical features |
CN107798107A (en) * | 2017-10-31 | 2018-03-13 | 维沃移动通信有限公司 | The method and mobile device of song recommendations |
CN107862059A (en) * | 2017-11-14 | 2018-03-30 | 维沃移动通信有限公司 | A kind of song recommendations method and mobile terminal |
CN109582817A (en) * | 2018-10-30 | 2019-04-05 | 努比亚技术有限公司 | A kind of song recommendations method, terminal and computer readable storage medium |
CN109582821A (en) * | 2018-11-27 | 2019-04-05 | 努比亚技术有限公司 | A kind of music object recommendation method, terminal and computer readable storage medium |
Cited By (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112417201A (en) * | 2019-08-22 | 2021-02-26 | 北京峰趣互联网信息服务有限公司 | Audio information pushing method and system, electronic equipment and computer readable medium |
CN111309959B (en) * | 2020-02-10 | 2023-08-18 | 清华大学 | Song recommendation method and device |
CN111309959A (en) * | 2020-02-10 | 2020-06-19 | 清华大学 | Song recommendation method and device |
CN111258484A (en) * | 2020-02-12 | 2020-06-09 | 北京奇艺世纪科技有限公司 | Video playing method and device, electronic equipment and storage medium |
CN111488485A (en) * | 2020-04-16 | 2020-08-04 | 北京雷石天地电子技术有限公司 | Music recommendation method based on convolutional neural network, storage medium and electronic device |
CN111488485B (en) * | 2020-04-16 | 2023-11-17 | 北京雷石天地电子技术有限公司 | Music recommendation method based on convolutional neural network, storage medium and electronic device |
CN112040303A (en) * | 2020-07-22 | 2020-12-04 | 咪咕音乐有限公司 | Audio and video playing method and device, electronic equipment and storage medium |
CN113126951A (en) * | 2021-04-16 | 2021-07-16 | 深圳地平线机器人科技有限公司 | Audio playing method and device, computer readable storage medium and electronic equipment |
CN113126951B (en) * | 2021-04-16 | 2024-05-17 | 深圳地平线机器人科技有限公司 | Audio playing method and device, computer readable storage medium and electronic equipment |
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