CN109857899A - Song recommendations method, playback equipment and computer readable storage medium - Google Patents
Song recommendations method, playback equipment and computer readable storage medium Download PDFInfo
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Abstract
The invention discloses a kind of song recommendations methods, comprising: when the playback equipment plays song files, obtains the EEG signals of the user of the eeg sensor current detection in real time, and the EEG signals are stored to default storage region；At the end of detecting that the song files play, based on the EEG signals of the default storage region storage, the first eeg data in the corresponding play time section of the song files is obtained；The absorbed angle value of the user is determined based on first eeg data and loosens angle value；Based on the absorbed angle value and loosen angle value the first song recommendations weight of calculating；Being updated based on the first song recommendations weight and the song files recommends song single.The invention also discloses a kind of playback equipment and computer readable storage mediums.The present invention realizes absorbed angle value when listening to music according to user and loosens the song of angle value recommended user hobby, improves user experience.
Description
Technical field
The present invention relates to data processing field more particularly to a kind of song recommendations methods, playback equipment and computer-readable
Storage medium.
Background technique
Habit finder by observing people is accustomed to reading, learn or working while listening music.It closes
Suitable music helps to improve the focus of people, improves work, learning efficiency；On the contrary, song that is excessively fierce or excessively releiving
Song will affect the thinking ability of people, reduces focus, is unfavorable for the progress of work or study.If music playing system is not
Effectively recommended for personalized preference, it may be because of having played the song not liked or not met the sound of mood at that time
It is happy, and cause to interrupt task at hand to adjust music, and this easily makes people can not be wholwe-hearted when reading, and generates study work
Make the inferior negative shadow of low efficiency.
It is the recommendation based on keyword or fixed scene mode mostly, for user in current music recommender system
There is no specific aim, i.e., can not recommend song according to personal emotional change.
Above content is only used to facilitate the understanding of the technical scheme, and is not represented and is recognized that above content is existing skill
Art.
Summary of the invention
The main purpose of the present invention is to provide a kind of song recommendations method, playback equipment and computer-readable storage mediums
Matter, it is intended to solve the technical issues of can not recommending song according to personal emotional change at present.
To achieve the above object, the present invention provides a kind of song recommendations method, applied to the playback equipment for being equipped with earphone, institute
Earphone is stated equipped with eeg sensor, the song recommendations method the following steps are included:
When the playback equipment plays song files, the brain of the user of the eeg sensor current detection is obtained in real time
Electric signal, and the EEG signals are stored to default storage region；
At the end of detecting that the song files play, based on the EEG signals of the default storage region storage, obtain
Take the first eeg data in the corresponding play time section of the song files；
The absorbed angle value of the user is determined based on first eeg data and loosens angle value；
Based on the absorbed angle value and loosen angle value the first song recommendations weight of calculating；
Being updated based on the first song recommendations weight and the song files recommends song single.
In one embodiment, described updated based on the first song recommendations weight and the song files recommends song single
The step of include:
It determines in the recommendation song list with the presence or absence of the corresponding song title of the song files；
If it exists, then based on the corresponding second song recommendations weight of the single acquisition song title of recommendation song；
Based on the first song recommendations weight and the second song recommendations weight, it is corresponding to calculate the song title
Third song recommendations weight；
It is single based on recommendation song described in the third song recommendations right value update.
In one embodiment, the step single based on recommendation song described in the third song recommendations right value update includes:
The corresponding recommendation weight of song title described in the recommendation song list is set by the third song recommendations weight；
It is ranked up according to the corresponding recommendation weight of song titles all in recommendation song list, to obtain updated push away
It is single to recommend song.
In one embodiment, described to be based on the first song recommendations weight and the second song recommendations weight, meter
The step of calculating the song title corresponding third song recommendations weight include:
Recommend the single record number for obtaining the song title of song based on described；
Based on described in the record number, the first song recommendations weight and the second song recommendations weight computing
The corresponding third song recommendations weight of song title, and update the record number.
In one embodiment, described based on the record number, the first song recommendations weight and second song
Song recommends the step of corresponding third song recommendations weight of song title described in weight computing to include:
Corresponding first weighting coefficient of the first song recommendations weight and described the are calculated based on the record number
Corresponding second weighting coefficient of two song recommendations weights；
Based on the first song recommendations weight described in first weighting coefficient, the second weighting coefficient and second song
Recommend the corresponding third song recommendations weight of song title described in weight computing.
In one embodiment, described to be added based on record number calculating the first song recommendations weight corresponding first
Before the step of weight coefficient and the second song recommendations weight corresponding second weighting coefficient, further includes:
The difference between the first song recommendations weight and the second song recommendations weight is calculated, and determines the difference
Whether value is greater than preset threshold；
When the difference is less than preset threshold, executes and the first song recommendations weight is calculated based on the record number
The step of corresponding first weighting coefficient and the second song recommendations weight corresponding second weighting coefficient, wherein described
First weighting coefficient is less than second weighting coefficient；
When the difference is greater than or equal to preset threshold, corresponding first weighting coefficient of the difference and second are obtained
Weighting coefficient, wherein first weighting coefficient is greater than second weighting coefficient.
In one embodiment, it whether there is the corresponding song title of the song files in the determination recommendation song list
The step of after, the song recommendations method further include:
If the corresponding song title of the song files is not present in the recommendation song list, the song title is added
It is single to recommendation song；
It is ranked up according to the corresponding recommendation weight of song titles all in the recommendation song list after addition, after being updated
Recommendation sing it is single.
In one embodiment, described updated based on the first song recommendations weight and the song files recommends song single
The step of after, the song recommendations method further include:
In recommendation song list in the updated, the song for the preset quantity for selecting song recommendations weight forward is recommended as target
Song is single.
In addition, to achieve the above object, the present invention also provides a kind of playback equipment, the playback equipment is equipped with earphone, institute
Earphone is stated equipped with eeg sensor, the playback equipment includes: memory, processor and is stored on the memory and can be
The song recommendations program run on the processor is realized when the song recommendations program is executed by the processor and is appointed among the above
The step of song recommendations method described in one.
In addition, to achieve the above object, it is described computer-readable the present invention also provides a kind of computer readable storage medium
It is stored with song recommendations program on storage medium, is realized described in any of the above-described when the song recommendations program is executed by processor
Song recommendations method the step of.
The present invention by obtaining the eeg sensor current detection when the playback equipment plays song files in real time
User EEG signals, and the EEG signals are stored to default storage region, are then detecting the song files
At the end of broadcasting, based on the EEG signals of the default storage region storage, the corresponding play time of the song files is obtained
The first eeg data in section, then determines the absorbed angle value and allowance of the user based on first eeg data
Value is then based on the absorbed angle value and loosens angle value the first song recommendations weight of calculating, is finally based on first song
Recommending weight and the song files to update recommends song single, can be obtained when user listens to music according to the EEG signals of user
To the recommendation weight of the music, and then according to recommending right value update to recommend song single, focus when listening to music according to user is realized
It is worth and loosens the song of angle value recommended user hobby, improves user experience.
Detailed description of the invention
Fig. 1 is the structural schematic diagram of playback equipment in hardware running environment that the embodiment of the present invention is related to；
Fig. 2 is the flow diagram of song recommendations method first embodiment of the present invention.
The embodiments will be further described with reference to the accompanying drawings for the realization, the function and the advantages of the object of the present invention.
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.
As shown in Figure 1, Fig. 1 is the structural representation of playback equipment in hardware running environment that the embodiment of the present invention is related to
Figure.
Playback equipment of the embodiment of the present invention can be PC, be also possible to smart phone, tablet computer, E-book reader,
MP3 (Moving Picture Experts Group Audio Layer III, dynamic image expert's compression standard audio level
3) player, MP4 (Moving Picture Experts Group Audio Layer IV, dynamic image expert's compression standard
Audio level 4) the packaged type terminal device having a display function such as player, portable computer.
As shown in Figure 1, the playback equipment may include: processor 1001, such as CPU, network interface 1004, user interface
1003, memory 1005, communication bus 1002.Wherein, communication bus 1002 is for realizing the connection communication between these components.
User interface 1003 may include display screen (Display), input unit such as keyboard (Keyboard), optional user interface
1003 can also include standard wireline interface and wireless interface.Network interface 1004 optionally may include that the wired of standard connects
Mouth, wireless interface (such as WI-FI interface).Memory 1005 can be high speed RAM memory, be also possible to stable memory
(non-volatile memory), such as magnetic disk storage.Memory 1005 optionally can also be independently of aforementioned processor
1001 storage device.
Optionally, playback equipment can also include camera, RF (Radio Frequency, radio frequency) circuit, sensor,
Voicefrequency circuit, WiFi module etc..Wherein, sensor such as optical sensor, motion sensor and other sensors.Specifically
Ground, optical sensor may include ambient light sensor and proximity sensor, wherein ambient light sensor can be according to the bright of ambient light
The brightness of display screen secretly is adjusted, proximity sensor can close display screen and/or backlight when playback equipment is moved in one's ear.
As a kind of motion sensor, gravity accelerometer can detect all directions on (generally three axis) acceleration it is big
It is small, it can detect that size and the direction of gravity when static, can be used to identify application (such as the horizontal/vertical screen of mobile playback equipment posture
Switching, dependent game, magnetometer pose calibrating), Vibration identification correlation function (such as pedometer, tap) etc.；Certainly, broadcasting is set
Standby to can also configure the other sensors such as gyroscope, barometer, hygrometer, thermometer, infrared sensor, details are not described herein.
It will be understood by those skilled in the art that playback equipment structure shown in Fig. 1 does not constitute the limit to playback equipment
It is fixed, it may include perhaps combining certain components or different component layouts than illustrating more or fewer components.
As shown in Figure 1, as may include that operating system, network are logical in a kind of memory 1005 of computer storage medium
Believe module, Subscriber Interface Module SIM and song recommendations program.
In playback equipment shown in Fig. 1, network interface 1004 is mainly used for connecting background server, with background server
Carry out data communication；User interface 1003 is mainly used for connecting client (user terminal), carries out data communication with client；And locate
Reason device 1001 can be used for calling the song recommendations program stored in memory 1005.
In the present embodiment, playback equipment is equipped with earphone, and the earphone is equipped with eeg sensor, the playback equipment packet
It includes: memory 1005, processor 1001 and being stored on the memory 1005 and can be run on the processor 1001
Song recommendations program, wherein when processor 1001 calls the song recommendations program stored in memory 1005, and execute following behaviour
Make:
When the playback equipment plays song files, the brain of the user of the eeg sensor current detection is obtained in real time
Electric signal, and the EEG signals are stored to default storage region；
At the end of detecting that the song files play, based on the EEG signals of the default storage region storage, obtain
Take the first eeg data in the corresponding play time section of the song files；
The absorbed angle value of the user is determined based on first eeg data and loosens angle value；
Based on the absorbed angle value and loosen angle value the first song recommendations weight of calculating；
Being updated based on the first song recommendations weight and the song files recommends song single.
Further, processor 1001 can call the song recommendations program stored in memory 1005, also execute following
Operation:
It determines in the recommendation song list with the presence or absence of the corresponding song title of the song files；
If it exists, then based on the corresponding second song recommendations weight of the single acquisition song title of recommendation song；
Based on the first song recommendations weight and the second song recommendations weight, it is corresponding to calculate the song title
Third song recommendations weight；
It is single based on recommendation song described in the third song recommendations right value update.
Further, processor 1001 can call the song recommendations program stored in memory 1005, also execute following
Operation:
The corresponding recommendation weight of song title described in the recommendation song list is set by the third song recommendations weight；
It is ranked up according to the corresponding recommendation weight of song titles all in recommendation song list, to obtain updated push away
It is single to recommend song.
Further, processor 1001 can call the song recommendations program stored in memory 1005, also execute following
Operation:
Recommend the single record number for obtaining the song title of song based on described；
Based on described in the record number, the first song recommendations weight and the second song recommendations weight computing
The corresponding third song recommendations weight of song title, and update the record number.
Further, processor 1001 can call the song recommendations program stored in memory 1005, also execute following
Operation:
Corresponding first weighting coefficient of the first song recommendations weight and described the are calculated based on the record number
Corresponding second weighting coefficient of two song recommendations weights；
Based on the first song recommendations weight described in first weighting coefficient, the second weighting coefficient and second song
Recommend the corresponding third song recommendations weight of song title described in weight computing.
Further, processor 1001 can call the song recommendations program stored in memory 1005, also execute following
Operation:
The difference between the first song recommendations weight and the second song recommendations weight is calculated, and determines the difference
Whether value is greater than preset threshold；
When the difference is less than preset threshold, executes and the first song recommendations weight is calculated based on the record number
The step of corresponding first weighting coefficient and the second song recommendations weight corresponding second weighting coefficient, wherein described
First weighting coefficient is less than second weighting coefficient；
When the difference is greater than or equal to preset threshold, corresponding first weighting coefficient of the difference and second are obtained
Weighting coefficient, wherein first weighting coefficient is greater than second weighting coefficient.
Further, processor 1001 can call the song recommendations program stored in memory 1005, also execute following
Operation:
If the corresponding song title of the song files is not present in the recommendation song list, the song title is added
It is single to recommendation song；
It is ranked up according to the corresponding recommendation weight of song titles all in the recommendation song list after addition, after being updated
Recommendation sing it is single.
Further, processor 1001 can call the song recommendations program stored in memory 1005, also execute following
Operation:
In recommendation song list in the updated, the song for the preset quantity for selecting song recommendations weight forward is recommended as target
Song is single.
The present invention also provides a kind of song recommendations methods, are song recommendations method first of the present invention implementation referring to Fig. 2, Fig. 2
The flow diagram of example.
In the present embodiment, which is applied to the playback equipment equipped with earphone, and earphone is equipped with brain fax sense
Device, when user wears earphone, the electrode contact of brain wave sensor will be in contact with user's ear inner skin, and then by being somebody's turn to do
The EEG signals of electrode contact detection user.
The song recommendations method includes:
Step S100 obtains the eeg sensor current detection when the playback equipment plays song files in real time
User EEG signals, and the EEG signals are stored to default storage region；
In the present embodiment, it when the playback equipment plays song files, is currently examined by obtaining eeg sensor first
The EEG signals of the user of survey, to determine whether active user wears earphone and whether earphone wearing is normal, if normal, then
The EEG signals of the user of the eeg sensor current detection are obtained in real time, and the EEG signals are stored to default storage
Region.
Step S200, at the end of detecting that the song files play, the brain based on the default storage region storage
Electric signal obtains the first eeg data in the corresponding play time section of the song files；
In the present embodiment, if detecting, currently playing song files broadcasting terminates, and obtains in default storage region
The first eeg data in the corresponding play time section of the song files is taken, specifically, according to the attribute information of the song files
It determines the play time section i.e. playing duration of the song files, is played before then obtaining current time in default storage region
EEG signals i.e. the first eeg data in period.
Step S300 determines the absorbed angle value of the user based on first eeg data and loosens angle value；
In the present embodiment, existing focus and allowance algorithm can be used, according to the determination of the first eeg data
The absorbed angle value of user and loosen angle value.
Step S400 based on the absorbed angle value and loosens angle value the first song recommendations weight of calculating；
Step S500 is updated based on the first song recommendations weight and the song files and recommends song single.
In the present embodiment, when obtaining being absorbed in angle value and loosening angle value, angle value is absorbed according to this and loosens angle value
The first song recommendations weight is calculated, specifically, the absorbed corresponding weighted value of angle value is obtained respectively and loosens the corresponding power of angle value
Weight values according to absorbed angle value, loosen angle value and corresponding weighted value is weighted to obtain the first song recommendations weight.
When obtaining the first song recommendations weight, pushed away according to the first song recommendations weight and song files update
It is single to recommend song, specifically, if there is no song titles corresponding to the song files in current recommendation song list, by the song title
It is single to be added to recommendation song, and individual palpation is sung to the recommendation after addition and is ranked up according to song recommendations weight；If it exists, then based on this
New recommendation weight, and base is calculated in the corresponding recommendation weight of the song title in one song recommendations weight and recommendation song list
In the new recommendation weight and the recommendation weight of other songs in song list is recommended to be ranked up to obtain new recommendation song list.
Further, in one embodiment, after step S500, the song recommendations method further include: pushing away in the updated
It recommends in song list, the song for the preset quantity for selecting song recommendations weight forward recommends song single as target.
In the present embodiment, when with newly recommending to sing single, it is single that updated recommendation song is based on according to descending sequence
In the song recommendations weights of each song files song files are ranked up, and weight will be recommended in the recommendation song list after sequence
The song of forward preset quantity recommends song single as target, recommends song single so that playback equipment plays the target.
The song recommendations method that the present embodiment proposes, by being obtained in real time when the playback equipment plays song files
The EEG signals of the user of the eeg sensor current detection, and the EEG signals are stored to default storage region, it connects
At the end of detecting that the song files play, based on the EEG signals of the default storage region storage, described in acquisition
The first eeg data in the corresponding play time section of song files, then determines the user based on first eeg data
Absorbed angle value and loosen angle value, be then based on the absorbed angle value and loosen angle value calculate the first song recommendations weight,
Finally being updated based on the first song recommendations weight and the song files recommends song single, can when user listens to music,
The recommendation weight of the music is obtained according to the EEG signals of user, and then according to recommending right value update to recommend song single, realizes basis
Absorbed angle value when user listens to music and the song for loosening angle value recommended user hobby, improve user experience.
Based on first embodiment, the second embodiment of song recommendations method of the present invention, in the present embodiment, step are proposed
S500 includes:
Step S510 is determined in the recommendation song list with the presence or absence of the corresponding song title of the song files；
Step S520, and if it exists, then based on corresponding second song recommendations of the single acquisition song title of recommendation song
Weight；
Step S530 is based on the first song recommendations weight and the second song recommendations weight, calculates the song
Song name claims corresponding third song recommendations weight；
Step S540, it is single based on recommending to sing described in the third song recommendations right value update.
Under normal circumstances, recommend the storage address in song list including song title and the song, it being capable of root when playing
The song is played according to the corresponding storage address of the song title.
In the present embodiment, it determines and recommends to whether there is the corresponding song title of the song files in song list, and if it exists, then
Determine the corresponding second song recommendations weight of the song files in recommendation song list, and according to the first song recommendations weight and the
Two song recommendations weight computings obtain third song recommendations weight, finally based on recommendation song described in third song recommendations right value update
It is single.And then can accurately determine the recommendation weight of the song files, for example, may opened when user listens a certain song for a long time
User prefers to listen when beginning, and user is out of conceit with the song over time, and then when hearing the song again,
The absorbed angle value of user and loosen angle value and there is more apparent variation compared with before, current song recommendations weight is therewith
Preceding there is also biggish difference, therefore, recommend the recommendation weight of the song in song list by updating, can reduce the song
Recommend weight, and then reduces the number that user listens the song.
Further, in one embodiment, step S540 includes:
The corresponding recommendation weight of song title described in the recommendation song list is set by the third song recommendations weight；
It is ranked up according to the corresponding recommendation weight of song titles all in recommendation song list, to obtain updated push away
It is single to recommend song.
The corresponding recommendation weight of song title described in list is sung by setting the recommendation for third song recommendations weight,
It can be accurately obtained the recommendation weight for recommending the song files in song list, all song titles pair in list are sung according to the recommendation
The recommendation weight answered is ranked up, and the song files of user preferences can be set to the forefront for recommending song single, further increased
User experience.
The song recommendations method that the present embodiment proposes, being sung by the determination recommendation whether there is the song files in list
Corresponding song title is then if it exists then pushed away based on single corresponding second song of the song title that obtains of recommendation song
Weight is recommended, the first song recommendations weight and the second song recommendations weight is then based on, calculates the song title
Corresponding third song recommendations weight is then based on recommendation song list described in the third song recommendations right value update, realizes root
Recommend song files present in song list according to the first song recommendations right value update, the song in recommendation song list can be accurately obtained
The recommendation weight of file, and then the song files of user preferences can be set to the forefront for recommending song single, it further improves
User experience.
Based on second embodiment, the 3rd embodiment of song recommendations method of the present invention, in the present embodiment, step are proposed
S530 includes:
Step S531 recommends the single record number for obtaining the song title of song based on described；
Step S532, based on the record number, the first song recommendations weight and second song recommendations power
Value calculates the corresponding third song recommendations weight of the song title, and updates the record number.
In the present embodiment, when the song in song list being recommended to be played every time, the record number of the song title is updated,
When calculating third song recommendations weight, the record number of the song title is obtained, and based on the record number, first song
Song recommends the corresponding third song recommendations weight of song title described in weight and the second song recommendations weight computing,
The record number is updated when to the third song recommendations weight, and then improves of third song recommendations weight and user preferences
With property, so that recommending the biggish song files of song recommendations weight in song list is the more favorite song of user, further increase
User experience.
The song recommendations method that the present embodiment proposes, by recommending the single record for obtaining the song title of song based on described
Number then states record number, the first song recommendations weight and the second song recommendations weight computing based on place
The corresponding third song recommendations weight of the song title, and the record number is updated, and then improve third song recommendations power
The matching of value and user preferences, so that recommending the biggish song files of song recommendations weight in song list is that user is more favorite
Song further increases user experience.
Based on 3rd embodiment, the fourth embodiment of song recommendations method of the present invention, in the present embodiment, step are proposed
S532 includes:
Step S5321 calculates corresponding first weighting coefficient of the first song recommendations weight based on the record number,
And corresponding second weighting coefficient of the second song recommendations weight；
Step S5322, based on the first song recommendations weight and institute described in first weighting coefficient, the second weighting coefficient
State the corresponding third song recommendations weight of song title described in the second song recommendations weight computing.
In the present embodiment, when getting the record number, first song is calculated based on the record number and is pushed away
Corresponding first weighting coefficient of weight and corresponding second weighting coefficient of the second song recommendations weight are recommended, specifically, the
One weighting coefficient=1/ (record number+1), the is weighting coefficient=record number/(record number+1).
When obtaining the first weighting coefficient, the second weighting coefficient, it is based on first weighting coefficient, the second weighting coefficient institute
State the corresponding third song recommendations of song title described in the first song recommendations weight and the second song recommendations weight computing
Weight, specifically, third song recommendations weight=first weighting coefficient * the first song recommendations the+the second weighting coefficient of weight * second
Song recommendations weight.And then the matching of third song recommendations weight and user preferences is improved, so that song in song list is recommended to push away
Recommending the biggish song files of weight is the more favorite song of user, further increases user experience.
Further, in one embodiment, before step S5321, further includes:
The difference between the first song recommendations weight and the second song recommendations weight is calculated, and determines the difference
Whether value is greater than preset threshold；
When the difference is less than preset threshold, executes and the first song recommendations weight is calculated based on the record number
The step of corresponding first weighting coefficient and the second song recommendations weight corresponding second weighting coefficient, wherein described
First weighting coefficient is less than second weighting coefficient；
When the difference is greater than or equal to preset threshold, corresponding first weighting coefficient of the difference and second are obtained
Weighting coefficient, wherein first weighting coefficient is greater than second weighting coefficient.
For a certain song, when user listens a certain song for a long time, it may prefer in user at first
It listens, user is out of conceit with the song over time, and then when hearing the song again, the absorbed angle value of user and puts
There is more apparent variation compared with before in bulking value, current song recommendations weight with before there is also biggish differences
Not.
In the present embodiment, the difference between the first song recommendations weight and the second song recommendations weight is calculated
Value, and determine whether the difference is greater than preset threshold, if difference is less than preset threshold, S5321 is thened follow the steps, if difference is big
In or be equal to preset threshold, then obtain corresponding first weighting coefficient of the difference and the second weighting coefficient, wherein described the
One weighting coefficient is greater than second weighting coefficient, specifically, first weighting coefficient can be 0.6, second weighting coefficient
It is 0.4 etc..And then when user does not like to listen current song files, third song is reduced by the first weighting coefficient of raising and is pushed away
Weight is recommended, and then reduces the song files and is recommending the sequence in song list.
The song recommendations method that the present embodiment proposes is weighed by calculating first song recommendations based on the record number
It is worth corresponding first weighting coefficient and corresponding second weighting coefficient of the second song recommendations weight, then based on described
Described in first song recommendations weight and the second song recommendations weight computing described in first weighting coefficient, the second weighting coefficient
The corresponding third song recommendations weight of song title can accurately calculate third according to the first weighting coefficient, the second weighting coefficient
Song recommendations weight, and then the matching of third song recommendations weight and user preferences is improved, so that song in song list is recommended to push away
Recommending the biggish song files of weight is the more favorite song of user, further increases user experience.
Based on second embodiment, the 5th embodiment of song recommendations method of the present invention, in the present embodiment, step are proposed
After S510, further includes:
Step S550, if the corresponding song title of the song files is not present in recommendation song list, by the song
Song name claims to be added to the recommendation song list；
Step S560 is ranked up according to the corresponding recommendation weight of song titles all in the recommendation song list after addition, with
It is single to obtain updated recommendation song.
In the present embodiment, if recommending that the corresponding song title of the song files is not present in song list, by the song
Song name claims to be added to that the recommendation song is single, and according to the corresponding recommendation weight of song titles all in the recommendation song list after addition into
Row sequence, it is single to obtain updated recommendation song, and then the song files of user preferences are set to the forefront for recommending song single, with
Convenient for the subsequent preferential song for playing recommendation and singing single forefront, user experience is further improved.
The song recommendations method that the present embodiment proposes, if being sung in list by the recommendation, there is no the song files to correspond to
Song title, then by the song title be added to the recommendation sing it is single, then according in the recommendation song list after addition
The corresponding recommendation weight of all song titles is ranked up, single to obtain updated recommendation song, and then by the song of user preferences
Bent file is set to the forefront for recommending song single, in order to the subsequent preferential song for playing recommendation and singing single forefront, further improves
User experience.
In addition, the embodiment of the present invention also proposes a kind of computer readable storage medium, the computer readable storage medium
On be stored with song recommendations program, following operation is realized when the song recommendations program is executed by processor:
Song recommendations method, which is characterized in that applied to the playback equipment for being equipped with earphone, the earphone is equipped with brain fax sense
Device, the song recommendations method the following steps are included:
At the end of detecting that the song files play, based on the EEG signals of the default storage region storage, obtain
Take the first eeg data in the corresponding play time section of the song files；
The absorbed angle value of the user is determined based on first eeg data and loosens angle value；
Based on the absorbed angle value and loosen angle value the first song recommendations weight of calculating；
Being updated based on the first song recommendations weight and the song files recommends song single.
Further, following operation is also realized when the song recommendations program is executed by processor:
It determines in the recommendation song list with the presence or absence of the corresponding song title of the song files；
If it exists, then based on the corresponding second song recommendations weight of the single acquisition song title of recommendation song；
Based on the first song recommendations weight and the second song recommendations weight, it is corresponding to calculate the song title
Third song recommendations weight；
It is single based on recommendation song described in the third song recommendations right value update.
Further, following operation is also realized when the song recommendations program is executed by processor:
The corresponding recommendation weight of song title described in the recommendation song list is set by the third song recommendations weight；
It is ranked up according to the corresponding recommendation weight of song titles all in recommendation song list, to obtain updated push away
It is single to recommend song.
Further, following operation is also realized when the song recommendations program is executed by processor:
Recommend the single record number for obtaining the song title of song based on described；
Based on described in the record number, the first song recommendations weight and the second song recommendations weight computing
The corresponding third song recommendations weight of song title, and update the record number.
Further, following operation is also realized when the song recommendations program is executed by processor:
Corresponding first weighting coefficient of the first song recommendations weight and described the are calculated based on the record number
Corresponding second weighting coefficient of two song recommendations weights；
Based on the first song recommendations weight described in first weighting coefficient, the second weighting coefficient and second song
Recommend the corresponding third song recommendations weight of song title described in weight computing.
Further, following operation is also realized when the song recommendations program is executed by processor:
The difference between the first song recommendations weight and the second song recommendations weight is calculated, and determines the difference
Whether value is greater than preset threshold；
When the difference is less than preset threshold, executes and the first song recommendations weight is calculated based on the record number
The step of corresponding first weighting coefficient and the second song recommendations weight corresponding second weighting coefficient, wherein described
First weighting coefficient is less than second weighting coefficient；
When the difference is greater than or equal to preset threshold, corresponding first weighting coefficient of the difference and second are obtained
Weighting coefficient, wherein first weighting coefficient is greater than second weighting coefficient.
Further, following operation is also realized when the song recommendations program is executed by processor:
If the corresponding song title of the song files is not present in the recommendation song list, the song title is added
It is single to recommendation song；
It is ranked up according to the corresponding recommendation weight of song titles all in the recommendation song list after addition, after being updated
Recommendation sing it is single.
Further, following operation is also realized when the song recommendations program is executed by processor:
In recommendation song list in the updated, the song for the preset quantity for selecting song recommendations weight forward is recommended as target
Song is single.
It should be noted that, in this document, the terms "include", "comprise" or its any other variant are intended to non-row
His property includes, so that the process, method, article or the system that include a series of elements not only include those elements, and
And further include other elements that are not explicitly listed, or further include for this process, method, article or system institute it is intrinsic
Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including being somebody's turn to do
There is also other identical elements in the process, method of element, article or system.
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 one as described above
In storage medium (such as ROM/RAM, magnetic disk, CD), including some instructions are used so that terminal device (it can be mobile phone,
Computer, server, air conditioner or network equipment 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 applied to the playback equipment for being equipped with earphone, the earphone is equipped with brain fax
Sensor, the song recommendations method the following steps are included:
When the playback equipment plays song files, the brain telecommunications of the user of the eeg sensor current detection is obtained in real time
Number, and the EEG signals are stored to default storage region；
At the end of detecting that the song files play, based on the EEG signals of the default storage region storage, institute is obtained
State the first eeg data in the corresponding play time section of song files；
The absorbed angle value of the user is determined based on first eeg data and loosens angle value；
Based on the absorbed angle value and loosen angle value the first song recommendations weight of calculating；
Being updated based on the first song recommendations weight and the song files recommends song single.
2. song recommendations method as described in claim 1, which is characterized in that it is described based on the first song recommendations weight with
And the step that the song files update recommends song single includes:
It determines in the recommendation song list with the presence or absence of the corresponding song title of the song files；
If it exists, then based on the corresponding second song recommendations weight of the single acquisition song title of recommendation song；
Based on the first song recommendations weight and the second song recommendations weight, the song title corresponding is calculated
Three song recommendations weights；
It is single based on recommendation song described in the third song recommendations right value update.
3. song recommendations method as claimed in claim 2, which is characterized in that described to be based on the third song recommendations weight more
The new recommendation sings single step and includes:
The corresponding recommendation weight of song title described in the recommendation song list is set by the third song recommendations weight；
It is ranked up according to the corresponding recommendation weight of song titles all in recommendation song list, to obtain updated recommendation song
It is single.
4. song recommendations method as claimed in claim 2, which is characterized in that it is described based on the first song recommendations weight with
And the second song recommendations weight, the step of calculating the song title corresponding third song recommendations weight, include:
Recommend the single record number for obtaining the song title of song based on described；
Based on song described in the record number, the first song recommendations weight and the second song recommendations weight computing
The corresponding third song recommendations weight of title, and update the record number.
5. song recommendations method as claimed in claim 4, which is characterized in that described to be based on the record number, described first
The corresponding third song recommendations weight of song title described in song recommendations weight and the second song recommendations weight computing
Step includes:
Corresponding first weighting coefficient of the first song recommendations weight and second song are calculated based on the record number
Song recommends corresponding second weighting coefficient of weight；
Based on the first song recommendations weight described in first weighting coefficient, the second weighting coefficient and second song recommendations
The corresponding third song recommendations weight of song title described in weight computing.
6. song recommendations method as claimed in claim 2, which is characterized in that described based on record number calculating described the
Corresponding first weighting coefficient of one song recommendations weight and corresponding second weighting coefficient of the second song recommendations weight
Before step, further includes:
The difference between the first song recommendations weight and the second song recommendations weight is calculated, and determines that the difference is
It is no to be greater than preset threshold；
When the difference is less than preset threshold, execute corresponding based on record number calculating the first song recommendations weight
The first weighting coefficient and the second song recommendations weight corresponding second weighting coefficient the step of, wherein described first
Weighting coefficient is less than second weighting coefficient；
When the difference is greater than or equal to preset threshold, corresponding first weighting coefficient of the difference and the second weighting are obtained
Coefficient, wherein first weighting coefficient is greater than second weighting coefficient.
7. song recommendations method as claimed in claim 2, which is characterized in that whether there is in the determination recommendation song list
After the step of song files corresponding song title, the song recommendations method further include:
If the corresponding song title of the song files is not present in the recommendation song list, the song title is added to institute
It is single to state recommendation song；
It is ranked up according to the corresponding recommendation weight of song titles all in the recommendation song list after addition, to obtain updated push away
It is single to recommend song.
8. the song recommendations method as described in any one of claims 1 to 7, which is characterized in that described based on first song
After song recommends weight and the song files to update the step for recommending song single, the song recommendations method further include:
In recommendation song list in the updated, the song for the preset quantity for selecting song recommendations weight forward recommends to sing as target
It is single.
9. a kind of playback equipment, which is characterized in that the playback equipment is equipped with earphone, and the earphone is equipped with eeg sensor, institute
Playback equipment is stated to include: memory, processor and be stored in the song that can be run on the memory and on the processor
Recommended program realizes such as song described in any item of the claim 1 to 8 when the song recommendations program is executed by the processor
The step of bent recommended method.
10. a kind of computer readable storage medium, which is characterized in that be stored with song on the computer readable storage medium and push away
Program is recommended, such as song recommendations described in any item of the claim 1 to 8 are realized when the song recommendations program is executed by processor
The step of method.
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| CN201910094743.2A CN109857899A (en) | 2019-01-30 | 2019-01-30 | Song recommendations method, playback equipment and computer readable storage medium |
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| CN114281191A (en) * | 2021-12-20 | 2022-04-05 | 咪咕音乐有限公司 | Song auditioning method, terminal equipment and readable storage medium |
| CN116828535A (en) * | 2023-08-30 | 2023-09-29 | 太一云境技术有限公司 | Audio sharing method and system based on wireless transmission |
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Application publication date: 20190607 |