CN108205536A - List of songs generation method and device - Google Patents
List of songs generation method and device Download PDFInfo
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- CN108205536A CN108205536A CN201611169320.5A CN201611169320A CN108205536A CN 108205536 A CN108205536 A CN 108205536A CN 201611169320 A CN201611169320 A CN 201611169320A CN 108205536 A CN108205536 A CN 108205536A
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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 present embodiments relate to a kind of list of songs generation method and devices.Including：Determine at least one label, each for one song attributes of mark at least one label, each song attributes are corresponding at least one song, and each corresponding scoring at least one song, the scoring is calculated according to the temperature of the corresponding song of the scoring；It according to the scoring of the corresponding number of songs of at least one label, selects in the corresponding number of songs of at least one label, the first setting quantity song generation list of songs.Realize and song historical data listened based on user and adds label for song, can it is more accurate, easily generate list of songs.
Description
Technical field
The present invention relates to audio data processing technology field more particularly to a kind of list of songs generation method and devices.
Background technology
Music radio station refers to Online Music broadcast station application, can be by different-style, the song of type, by different
The different music of subject recommending.Wherein, classification such as mood, theme, crowd, scene, singer, musical instrument, languages, style of song etc..In this way,
User can select more first suitable current times and the music of place enjoyment, thus also obtain more and more use by once-through operation
Like at family.
But the list of songs in radio station is screened from Qu Ku, there are nicety of grading is not high or artificial screening is time-consuming
The problem of laborious.
Invention content
An embodiment of the present invention provides a kind of list of songs generation method and devices.It realizes and song history number is listened based on user
Add label according to this and for song, can it is more accurate, easily generate list of songs.
On the one hand, an embodiment of the present invention provides a kind of list of songs generation methods.Including：
It determines at least one label, is each used to identify a song attributes, each song at least one label
Attribute is corresponding at least one song, and each corresponding scoring at least one song, the scoring is according to
The temperature for the corresponding song that scores is calculated；
According to the scoring of the corresponding number of songs of at least one label, select at least one label corresponding more
In song, the first setting quantity song generation list of songs.
Optionally, the list of songs is associated at least one label, and the method further includes：
The second setting quantity song and at least one label pair for determining to score in the list of songs rearward
The the second setting quantity song of the scoring being not included in the list of songs answered rearward；
The the second setting quantity song of the scoring rearward is deleted in the list of songs, increases the scoring rearward
It is described second setting quantity song.
Optionally, the scoring according to the temperature of the corresponding song of the scoring be calculated including：
The daily playback volume of the song is counted, comments on number, thumbs up number, collects number, downloads number and search number；
According to the broadcasting growth rate of the song, comment on growth rate, thumb up growth rate, collection growth rate, download growth rate
And search growth rate is multiplied by weight calculation and obtains the scoring respectively.
Optionally, the scoring includes at least following one or more：
Day scoring, week are scored, the moon scores, season scores and year scoring.
Optionally, the corresponding weight of the broadcasting growth rate is 65, and the corresponding weight of comment growth rate is 5, thumbs up growth
The corresponding weight of rate is 5, and the corresponding weight of collection growth rate is 5, and it is 10 to download the corresponding weight of growth rate, searches for growth rate pair
The weight answered is 10.
On the other hand, an embodiment of the present invention provides a kind of list of songs generating means.Including：
First determination unit for determining at least one label, is each used to identify one at least one label
Song attributes, each song attributes are corresponding at least one song, each corresponding scoring at least one song,
The scoring is calculated according to the temperature of the corresponding song of the scoring；
Generation unit, for the scoring according to the corresponding number of songs of at least one label, at least one described in selection
In the corresponding number of songs of a label, the first setting quantity song generation list of songs.
Optionally, it further includes：
Second determination unit, for determine to score in the list of songs rearward second setting quantity song and
The the second setting quantity head songs of the corresponding scoring being not included in the list of songs of at least one label rearward
It is bent；
Updating unit for deleting the second setting quantity song of the scoring rearward in the list of songs, increases
Add the second setting quantity song of the scoring rearward.
Optionally, it further includes：
Statistic unit for counting the daily playback volume of the song, comments on number, thumbs up number, collects number, download number and
Search for number；
Computing unit, for according to the song broadcasting growth rate, comment on growth rate, thumb up growth rate, collection increase
Rate, download growth rate and search growth rate are multiplied by weight calculation and obtain the scoring respectively.
Optionally, the scoring includes at least following one or more：
Day scoring, week are scored, the moon scores, season scores and year scoring.
Optionally, the corresponding weight of the broadcasting growth rate is 65, and the corresponding weight of comment growth rate is 5, thumbs up growth
The corresponding weight of rate is 5, and the corresponding weight of collection growth rate is 5, and it is 10 to download the corresponding weight of growth rate, searches for growth rate pair
The weight answered is 10.
Through the embodiment of the present invention, song historical data is listened based on user and adds label for song, can it is more accurate,
Easily generate list of songs.The label of song historical data and song can also be listened according to user, can be more accurate, it is convenient
Update list of songs, user experience higher.
Description of the drawings
Fig. 1 is a kind of flow chart of list of songs generation method provided in an embodiment of the present invention；
Fig. 2 is an example provided in an embodiment of the present invention；
Fig. 3 is a kind of list of songs generating means structure diagram provided in an embodiment of the present invention.
Specific embodiment
Purpose, technical scheme and advantage to make the embodiment of the present invention are clearer, below in conjunction with the embodiment of the present invention
In attached drawing, the technical solution in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is
Part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art
All other embodiments obtained without making creative work shall fall within the protection scope of the present invention.
The embodiment of the present invention can be associated with one or more marks by adding label and scoring, each radio station for song
Label.When list of songs generates, the corresponding song of the associated one or more label in radio station according to scoring is screened, is obtained
List of songs.Nicety of grading is high, efficient.Meanwhile the scoring of song comments on number, thumbs up number, receive by counting daily playback volume
Number is hidden, number is downloaded and search number obtains, can more accurately react the temperature of song.
For ease of the understanding to the embodiment of the present invention, it is further explained below in conjunction with attached drawing with specific embodiment
Bright, embodiment does not form the restriction to the embodiment of the present invention.
Fig. 1 is a kind of flow chart of list of songs generation method provided in an embodiment of the present invention.As shown in Figure 1, this method
It specifically includes：
S110 determines at least one label, is each used to identify a song attributes at least one label, each
Song attributes are corresponding at least one song, each corresponding scoring at least one song, the scoring according to
The temperature for scoring corresponding song is calculated；
Per song typing song library when can tagged (tag), the label be used for identify type or style of song etc.
Attribute.For example, song《I is a bird》Addible label is：Pursue a goal with determination, rock and roll and get up etc..
The label can be obtained by the identification information analyzed in song files, such as can be by analyzing the ID3 in mp3 file
Information obtains.
Can also be determined by big data analysis according to the behavioural habits of user, for example, can counting user run when pass through
The song often listened, further, the data can be obtained with reference to motion software.
It can also manually add.Specifically, user can be pushed to by being not added with the song of label, and user is according to the common sense of oneself
Label is added for the song, by statistics, and selects mark of the more label of one or more addition numbers as the song
Label.
Each radio station can be associated with one or more labels.For example, theme is the radio station of work, can associated label can
Think, piano music, light music work and loosen etc..
It can be scored according to song temperature song, which can include day scoring, week scoring, moon scoring, Ji Ping
Point and the scoring of scoring in year in it is any one or more.
Wherein calculation as shown in Figure 2 can be used in the scoring, described in detail below.
It is client-based to broadcast song daily record, the daily playback volume of song is counted, comment number, number is thumbed up, collection number, downloads number
And search number etc..
The above-mentioned data of each song are summarized according to natural day.
Daily progression rate, all growth rates, moon growth rate and the season growth rate of song temperature are calculated by taking playback volume as an example.
Daily progression rate calculation is (D2-D1)/D1, and D1 is the playback of songs amount of the previous day, and D2 is that the song on the same day is broadcast
High-volume；
All Growth Rate Calculation modes are (W2-W1)/W1, and W1 is the playback of songs amount of nearest one week, and W2 is the song of upper one week
Bent playback volume；
The moon, Growth Rate Calculation mode was (M2-M1)/M1, M1, and for the playback of songs amount in nearest January, M2 is the previous moon
The song moon playback volume；
Season, Growth Rate Calculation mode was (Q2-Q1)/Q1, and Q1 is the playback of songs amount in a nearest season, and Q2 is previous season
Playback of songs amount；
Similarly to the comment number of song, number is thumbed up, collects number, downloads number, the growth rate for searching for number is calculated, then will be with
Upper data are weighted read group total total score, and the calculation of weighted sum is as follows：
Song scoring=(playback of songs growth rate * weights+comment growth rate * weights+thumb up growth rate * weights+collection and increase
Long rate * weights+download growth rate * weights+search growth rate * weights)/100
Each weight is adjusted, and configuration is as shown in table 1.
Table 1
| Parameter | Weight |
| Playback volume growth rate | 65 |
| Comment on number growth rate | 5 |
| Thumb up several growth rates | 5 |
| Collect number growth rate | 5 |
| Download number growth rate | 10 |
| Search for number growth rate | 10 |
| … | … |
If certain song monthly counts broadcasting growth rate, growth rate is commented on, thumbs up growth rate, collects growth rate, downloads and increases
Rate, search growth rate is respectively 150%, 10%, 20%, 5%, 20%, 15%.It is by weight calculation result then：
(150%*65+10%*5+20%*5+5%*5+20%*10+15%*10)/100=1.0275.
Wherein, day scoring, week scoring, moon scoring, season scoring and year scoring respectively according to daily progression rate, all growth rates,
Month growth rate, season growth rate and annual growth are calculated.
In embodiments of the present invention, can also counting user cut time and the number of song, wherein, the time for cutting song can be with
The form statistics of percentage.For example, can count before playback of songs 50% cuts song number.
According to this cut song the time and number calculate growth rate, calculate according to scoring when, can subtract cut song growth rate multiply
With weight, finally scored.Wherein, the weight cut corresponding to the song time can be also multiplied by when statistics cuts song number.For example, it cuts
The song first time of total degree=1/ cut song time (percentage)+... 1/ n-th cuts the song time.
S120 according to the scoring of the corresponding number of songs of at least one label, selects at least one label pair
In the number of songs answered, the first setting quantity song generation list of songs.
It descending to the scoring of the corresponding number of songs of at least one label can be ranked up, selection is scored higher by the
One setting quantity song generation list of songs.
Wherein, the corresponding at least one label in radio station can also distribute weight, after being multiplied by weight to the scoring of number of songs
It is ranked up again, which can determine according to the degree of correlation of the label and radio station theme.For example, theme is the radio station of work,
Associated label can be that piano music, light music work and loosen.Wherein, piano music, light music, work and loosen mark
It signs corresponding weight may respectively be, 80%, 90%, 95%, 85%.
Through the embodiment of the present invention, song historical data is listened based on user and adds label for song, can it is more accurate,
Easily generate list of songs.
In another embodiment, the song in list of songs can be also updated, when updating the interval of list of songs
Between can be adjusted flexibly, by week, the moon, season update need to apply mechanically corresponding growth rate * weights to ask scoring respectively.
With reference to specific steps, to the update of list is gone to be further introduced.
The second setting quantity song and at least one mark that S130 determines to score in the list of songs rearward
Sign the second setting quantity song of the corresponding scoring being not included in the list of songs rearward.
S140 deletes the second setting quantity song of the scoring rearward in the list of songs, increases institute's commentary
Divide the second setting quantity song rearward.
It in one example,, will be in certain existing class radio station song after obtaining the scoring of every song for monthly updating
Minimum 5% song of scoring screen, replace with forward and not in radio present list of songs the similar song of scoring.
Such as the radio station that label is " light music ", in the song scoring monthly counted, such song shares 200,000 in Qu Ku,
And " light music " played in radio station has 1000 head.After being counted by scoring, 5% i.e. 50 head to score in the radio station rearward is replaced
It completes to update to score forward " hot topic " song.
Wherein, the song list update period can be configured, the configuration period can be by week, the moon, season and year
One or more period updates.During for setting a variety of update cycle update list of songs, reaching the larger update cycle
During update condition, it is updated according to larger update cycle corresponding update mode.
For example, for select by week and the moon as the update cycle carry out list of songs update when, reach at the same time the moon update
When period and all update cycles, it can be updated according to the calculation of the update cycle moon.Larger update cycle data are more
Comprehensively, the result being calculated is more accurate, and the smaller update cycle has more real-time, for the side using a variety of update cycles
Formula is updated, the advantages of both can taking into account.
In this way, user can play the corresponding list of songs in the radio station when selecting a radio station.
Through the embodiment of the present invention, the label of song historical data and song can be listened according to user, can be more accurate,
Easily update list of songs, user experience higher.
Fig. 3 is a kind of list of songs generating means structure diagram provided in an embodiment of the present invention.As shown in figure 3, the dress
It puts and specifically includes：
First determination unit 301 for determining at least one label, is each used to identify one at least one label
A song attributes, each song attributes are corresponding at least one song, and each corresponding one at least one song comments
Point, the scoring is calculated according to the temperature of the corresponding song of the scoring；
Generation unit 302, for the scoring according to the corresponding number of songs of at least one label, described in selection at least
In the corresponding number of songs of one label, the first setting quantity song generation list of songs.
Optionally, it further includes：
Second determination unit 303, for determine to score in the list of songs rearward second setting quantity song, with
And the second setting quantity of the corresponding scoring being not included in the list of songs of at least one label rearward is first
Song；
Updating unit 304, for deleting the second setting quantity song of the scoring rearward in the list of songs,
Increase the second setting quantity song of the scoring rearward.
Optionally, it further includes：
Statistic unit for counting the daily playback volume of the song, comments on number, thumbs up number, collects number, download number and
Search for number；
Computing unit, for according to the song broadcasting growth rate, comment on growth rate, thumb up growth rate, collection increase
Rate, download growth rate and search growth rate are multiplied by weight calculation and obtain the scoring respectively.
Optionally, the scoring includes at least following one or more：
Day scoring, week are scored, the moon scores, season scores and year scoring.
Optionally, the corresponding weight of the broadcasting growth rate is 65, and the corresponding weight of comment growth rate is 5, thumbs up growth
The corresponding weight of rate is 5, and the corresponding weight of collection growth rate is 5, and it is 10 to download the corresponding weight of growth rate, searches for growth rate pair
The weight answered is 10.
Professional should further appreciate that, be described with reference to the embodiments described herein each exemplary
Unit and algorithm steps can be realized with the combination of electronic hardware, computer software or the two, hard in order to clearly demonstrate
The interchangeability of part and software generally describes each exemplary composition and step according to function in the above description.
These functions are performed actually with hardware or software mode, specific application and design constraint depending on technical solution.
Professional technician can realize described function to each specific application using distinct methods, but this realization
It is it is not considered that beyond the scope of this invention.
The step of method or algorithm for being described with reference to the embodiments described herein, can use hardware, processor to perform
The combination of software module or the two is implemented.Software module can be placed in random access memory (RAM), memory, read-only memory
(ROM), electrically programmable ROM, electrically erasable ROM, register, hard disk, moveable magnetic disc, CD-ROM or technical field
In any other form of storage medium well known to interior.
Above-described specific embodiment has carried out the purpose of the present invention, technical solution and advantageous effect further
It is described in detail, it should be understood that the foregoing is merely the specific embodiment of the present invention, is not intended to limit the present invention
Protection domain, all any modification, equivalent substitution, improvement and etc. within the scope of the present invention, done should be included in this hair
Within bright protection domain.
Claims (10)
1. a kind of list of songs generation method, which is characterized in that including：
It determines at least one label, is each used to identify a song attributes, each song attributes at least one label
It is corresponding at least one song, each corresponding scoring at least one song, the scoring is according to the scoring
The temperature of corresponding song is calculated；
According to the scoring of the corresponding number of songs of at least one label, the corresponding more first songs of at least one label are selected
Qu Zhong, the first setting quantity song generation list of songs.
2. according to the method described in claim 1, it is characterized in that, the list of songs is associated at least one label, institute
The method of stating further includes：
Determine to score in the list of songs rearward second setting quantity song and at least one label it is corresponding
The the second setting quantity song of scoring rearward being not included in the list of songs；
The the second setting quantity song of the scoring rearward is deleted in the list of songs, increases the institute of the scoring rearward
State the second setting quantity song.
3. method according to claim 1 or 2, which is characterized in that the scoring is according to the corresponding song of the scoring
Temperature be calculated including：
The daily playback volume of the song is counted, comments on number, thumbs up number, collects number, downloads number and search number；
According to the broadcasting growth rate of the song, comment on growth rate, thumb up growth rate, collection growth rate, download growth rate and
Search growth rate is multiplied by weight calculation and obtains the scoring respectively.
4. according to the method described in claim 3, it is characterized in that, the scoring is including at least following one or more：
Day scoring, week are scored, the moon scores, season scores and year scoring.
5. according to the method described in claim 3, it is characterized in that, the corresponding weight of the broadcasting growth rate is 65, comment increases
The corresponding weight of long rate is 5, and it is 5 to thumb up the corresponding weight of growth rate, and the corresponding weight of collection growth rate is 5, downloads growth rate
Corresponding weight is 10, and the corresponding weight of search growth rate is 10.
6. a kind of list of songs generating means, which is characterized in that including：
First determination unit for determining at least one label, is each used to identify a song at least one label
Attribute, each song attributes are corresponding at least one song, each corresponding scoring at least one song, described
Scoring is calculated according to the temperature of the corresponding song of the scoring；
Generation unit for the scoring according to the corresponding number of songs of at least one label, selects at least one mark
It signs in corresponding number of songs, the first setting quantity song generation list of songs.
7. device according to claim 6, which is characterized in that further include：
Second determination unit, for the second setting quantity song and described for determining to score in the list of songs rearward
The the second setting quantity song of the corresponding scoring being not included in the list of songs of at least one label rearward；
Updating unit for deleting the second setting quantity song of the scoring rearward in the list of songs, increases institute
The the second setting quantity song of commentary point rearward.
8. the device described according to claim 6 or 7, which is characterized in that further include：
Statistic unit for counting the daily playback volume of the song, comments on number, thumbs up number, collect number, downloads number and search
Number；
Computing unit, for according to the song broadcasting growth rate, comment on growth rate, thumb up growth rate, collection growth rate, under
It carries growth rate and search growth rate is multiplied by weight calculation and obtains the scoring respectively.
9. device according to claim 8, which is characterized in that the scoring includes at least following one or more：
Day scoring, week are scored, the moon scores, season scores and year scoring.
10. according to the method described in claim 8, it is characterized in that, the corresponding weight of the broadcasting growth rate is 65, comment increases
The corresponding weight of long rate is 5, and it is 5 to thumb up the corresponding weight of growth rate, and the corresponding weight of collection growth rate is 5, downloads growth rate
Corresponding weight is 10, and the corresponding weight of search growth rate is 10.
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| CN201611169320.5A CN108205536B (en) | 2016-12-16 | 2016-12-16 | Song list generation method and device |
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|---|---|---|---|
| CN201611169320.5A CN108205536B (en) | 2016-12-16 | 2016-12-16 | Song list generation method and device |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110458360A (en) * | 2019-08-13 | 2019-11-15 | 腾讯科技（深圳）有限公司 | Prediction technique, device, equipment and the storage medium of hot resource |
| CN112836082A (en) * | 2021-02-08 | 2021-05-25 | 咪咕音乐有限公司 | Method and device for generating song list, electronic equipment and storage medium |
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| CN104077339A (en) * | 2013-07-09 | 2014-10-01 | 腾讯科技（深圳）有限公司 | Multimedia data user preference degree acquiring method, device and system |
| CN105915653A (en) * | 2016-06-24 | 2016-08-31 | 腾讯科技（深圳）有限公司 | Downloading method and device of media file |
| CN106227816A (en) * | 2016-07-22 | 2016-12-14 | 北京小米移动软件有限公司 | Push the method and device that song is single |
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| CN112836082A (en) * | 2021-02-08 | 2021-05-25 | 咪咕音乐有限公司 | Method and device for generating song list, electronic equipment and storage medium |
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| CN108205536B (en) | 2020-12-04 |
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