CN107958384A - A kind of data analysing method for listening an old song form to be based on user and system - Google Patents
A kind of data analysing method for listening an old song form to be based on user and system Download PDFInfo
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- CN107958384A CN107958384A CN201610900273.0A CN201610900273A CN107958384A CN 107958384 A CN107958384 A CN 107958384A CN 201610900273 A CN201610900273 A CN 201610900273A CN 107958384 A CN107958384 A CN 107958384A
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Abstract
The invention discloses a kind of data analysing method for listening an old song form to be based on user and system.Wherein, this method includes the odd-numbered day playback volume for counting all songs of each singer；According to the odd-numbered day playback volume of all songs of each singer, singer's temperature of each singer in self defined time is calculated；According to singer's temperature, the growth rate of calculating singer's temperature；According to the growth rate of singer's temperature, potentiality singer is determined.The system includes statistical module, the first computing module, the second computing module and the first determining module.A kind of data analysing method for listening an old song form to be based on user provided by the invention and system, potentiality singer can be determined by calculating singer's temperature and singer's temperature growth rate, and then determine the bean vermicelli of potentiality singers and potential bean vermicelli, and the crowd for pushing for bean vermicelli and potential bean vermicelli potentiality singer raises the admission ticket of concert and buys message.
Description
Technical field
The present invention relates to data analysis technique field, more particularly to a kind of data analysing method for listening an old song form to be based on user
And system.
Background technology
The analysis method of existing singer's temperature is to sort according to the playback volume of singer's song, before ranking 100 for hot topic
Singer, ranking is potentiality singer in 100-500 based on experience value.This method only considered the current temperature of singer, can only
One not accurate auxiliary reference is provided, can not accurately analyze potentiality singer.
That hold concert at present is mostly well-known singer, can be raised by crowd and hold concert, but potentiality for potentiality singer
The push that the crowd of singer raises the advertisement admission ticket purchase message of concert is not accurate, causes the efficient low of advertisement pushing, and do not have
Targetedly to the frequent advertisement information of user, user experience can be also reduced.
The content of the invention
It is an object of the present invention to solve existing potentiality singer, to analyze precision not high and can not effectively determine pass
The problem of noting the user crowd of potentiality singer, there is provided a kind of data analysing method for listening an old song form to be based on user and system, lead to
Cross calculating singer temperature and singer's temperature growth rate determines potentiality singer, and then determine the bean vermicelli of potentiality singer and potential powder
Silk, and the crowd for pushing for bean vermicelli and potential bean vermicelli potentiality singer raises the admission ticket of concert and buys message.
To achieve these goals, on the one hand, the present invention provides a kind of data analysis side for listening an old song form to be based on user
Method.This method comprises the following steps：Count the odd-numbered day playback volume of all songs of each singer；According to all songs of each singer
Odd-numbered day playback volume, calculate singer's temperature of each singer in self defined time；According to singer's temperature, singer's temperature is calculated
Growth rate；According to the growth rate of singer's temperature, potentiality singer is determined.
Preferably, the growth rate of singer's temperature includes one or more of all growth rate, moon growth rate and season growth rate.
Preferably, the formula of all growth rates of calculating is：RW=(W2-W1)/W1, wherein, RWRepresent all growth rates, W2In expression
Singer's temperature of one week, W1For singer's temperature of nearly one week；Calculate moon growth rate formula be：RM=(M2-M1)/M1, wherein, RM
Represent moon growth rate, M2Represent singer's temperature in upper January, M1For singer's temperature in nearly January；Calculate season growth rate formula be：
RQ=(Q2-Q1)/Q1, wherein, RQRepresent season growth rate, Q2Represented singer's temperature in a upper season, Q1For singer's temperature in a nearly season.
Preferably, according to the growth rate of singer's temperature, determine that potentiality singer's step is specially：All growth rates, the moon are increased
Rate and season growth rate are ranked up, and are selected growth rate according to the result of sequence and are come preceding 10 singer and are determined as potentiality singer.
Preferably, in the growth rate according to singer's temperature, after determining potentiality singer's step, step is further included：According to latent
Power singer, calculates the bean vermicelli of potentiality singer and/or potential bean vermicelli.According to potentiality singer, the bean vermicelli step for calculating potentiality singer has
Body is：Count each user and listen to the number of songs of potentiality singer and total broadcasting time, when number of songs and total broadcasting time all
When respectively more than the first given threshold and the second given threshold, the bean vermicelli of potentiality singer is determined that the user is.According to potentiality singer,
The potential bean vermicelli step for calculating potentiality singer specifically includes：Using cosine similarity algorithm, the similarity of the whole songs of calculating, its
In, whole songs include all songs of each singer；According to the similarity of whole songs, built using collaborative filtering complete
The song similar matrix of portion's song；The song listened to according to song similar matrix and each user in nearly two months, calculates
The recommendation song of each user；According to song is recommended, the potential bean vermicelli of potentiality singer is determined.
Preferably, after definite bean vermicelli and potential bean vermicelli step, step is further included：To bean vermicelli and potential bean vermicelli push potentiality
The concert admission ticket purchase message of singer.
On the other hand, the present invention also provides a kind of data analysis system for listening an old song form to be based on user.The system includes：System
Count module, the odd-numbered day playback volume of all songs for counting each singer；First computing module, for according to each singer institute
There is the odd-numbered day playback volume of song, calculate singer's temperature of each singer in self defined time；Second computing module, for basis
Singer's temperature, calculates the growth rate of singer's temperature；First determining module, for the temperature growth rate according to singer, determines potentiality
Singer.
Preferably, the second computing module is specifically used for, and calculating the growth rate of singer's temperature includes all growth rates, moon growth rate
With season growth rate；The formula for calculating all growth rates is：RW=(W2-W1)/W1, wherein, RWRepresent all growth rates, W2Represent upper one week
Singer's temperature, W1For singer's temperature of nearly one week；Calculate moon growth rate formula be：RM=(M2-M1)/M1, wherein, RMRepresent
Month growth rate, M2Represent singer's temperature in upper January, M1For singer's temperature in nearly January；Calculate season growth rate formula be：RQ=
(Q2-Q1)/Q1, wherein, RQRepresent season growth rate, Q2Represented singer's temperature in a upper season, Q1For singer's temperature in a nearly season.
Preferably, which further includes the second determining module, for according to potentiality singer, the bean vermicelli of calculating potentiality singer
And/or potential bean vermicelli.According to potentiality singer, the bean vermicelli for calculating potentiality singer is specially：Count each user and listen to potentiality singer
Number of songs and total broadcasting time, when number of songs and total broadcasting time are all set more than the first given threshold and second respectively
During threshold value, bean vermicelli of the user for potentiality singer is selected.According to potentiality singer, the potential bean vermicelli for calculating potentiality singer specifically includes
Following steps：Using cosine similarity algorithm, the similarity of the whole songs of calculating, wherein, whole songs include each singer's
All songs；According to the similarity of whole songs, using the song similar matrix of the whole songs of collaborative filtering structure；According to
The song that song similar matrix and each user are listened in nearly two months, calculates the recommendation song of each user；According to pushing away
Song is recommended, determines the potential bean vermicelli of potentiality singer.
Preferably, which further includes pushing module, and pushing module is used to push away to the bean vermicelli of potentiality singer and potential bean vermicelli
The concert admission ticket of potentiality singer is sent to buy message.
A kind of data analysing method for listening an old song form to be based on user provided by the invention and system, by calculating singer's temperature
Potentiality singer is determined with singer's temperature growth rate, and then determines the bean vermicelli of potentiality singer and potential bean vermicelli, and for bean vermicelli and is dived
Bean vermicelli push potentiality singer crowd raise concert admission ticket buy message.
Brief description of the drawings
Fig. 1 be it is provided in an embodiment of the present invention the first the data analysing method flow signal that an old song form is is listened based on user
Figure；
Fig. 2 is the second provided in an embodiment of the present invention data analysing method flow signal for listening an old song form to be based on user
Figure；
Fig. 3 is the data analysing method flow signal provided in an embodiment of the present invention that the third listens an old song form to be based on user
Figure；
Fig. 4 is a kind of data analysis system structure diagram for listening an old song form to be based on user provided in an embodiment of the present invention.
Embodiment
Below by drawings and examples, technical scheme is described in further detail.
Fig. 1 be it is provided in an embodiment of the present invention the first the data analysing method flow signal that an old song form is is listened based on user
Figure.As shown in Figure 1, this method comprises the following steps：
Step 201, the odd-numbered day playback volume of all songs of each singer is counted.
Step 202, according to the odd-numbered day playback volume of all songs of each singer, each singer in self defined time is calculated
Singer's temperature.Wherein, self defined time includes week, the moon and season, according to the odd-numbered day playback volume of all songs of each singer, calculates
Weekly, monthly singer's temperature with every season each singer.
Step 203, according to singer's temperature, the growth rate of calculating singer's temperature.Specifically, the growth rate of singer's temperature includes
One or more of all growth rates, moon growth rate and season growth rate.Wherein, the formula of all growth rates of calculating is：RW=(W2-
W1)/W1, wherein, RWRepresent all growth rates, W2Represent singer's temperature of upper one week, W1For singer's temperature of nearly one week.The moon is calculated to increase
The formula of long rate is：RM=(M2-M1)/M1, wherein, RMRepresent moon growth rate, M2Represent singer's temperature in upper January, M1For nearly one
Singer's temperature of the moon.Calculate season growth rate formula be：RQ=(Q2-Q1)/Q1, wherein, RQRepresent season growth rate, Q2Represent upper one
Singer's temperature in season, Q1For singer's temperature in a nearly season.
Step 204, according to the growth rate of singer's temperature, potentiality singer is determined.Specifically, to all growth rates, moon growth rate
It is ranked up with season growth rate, growth rate is selected according to the result of sequence comes preceding 10 singer and be determined as potentiality singer.
The first data analysing method for listening an old song form to be based on user provided in an embodiment of the present invention, it is self-defined by calculating
Singer's temperature and singer's temperature growth rate in time, can accurately determine potentiality singer.
Fig. 2 is the second provided in an embodiment of the present invention data analysing method flow signal for listening an old song form to be based on user
Figure.As shown in Fig. 2, this method is except including the first data analysing method for listening an old song form to be based on user provided in this embodiment
In step 201-204 beyond, further include step 205 after step 204.
Step 205, according to potentiality singer, the bean vermicelli of potentiality singer and/or potential bean vermicelli are calculated.Wherein, sung according to potentiality
Hand, the bean vermicelli step for calculating potentiality singer are specially：Count each user and listen to the number of songs of potentiality singer and total broadcasting time
Number, when number of songs and total broadcasting time all respectively more than the first given threshold and the second given threshold when, determine that the user is
The bean vermicelli of potentiality singer.According to potentiality singer, the potential bean vermicelli step for calculating potentiality singer specifically includes：Use cosine similarity
Algorithm, calculates the similarity of whole songs, wherein, whole songs include all songs of each singer；According to whole songs
Similarity, the song similar matrix of whole songs is built using collaborative filtering；According to song similar matrix and each use
The song that family is listened in nearly two months, calculates the recommendation song of each user；According to song is recommended, determine that potentiality singer's is latent
In bean vermicelli.
The second provided in an embodiment of the present invention data analysing method for listening an old song form to be based on user, it is self-defined by calculating
Singer's temperature and singer's temperature growth rate in time, can accurately determine potentiality singer.Song data are listened according to user, can
To determine the bean vermicelli of potentiality singer, song data are listened and using collaborative filtering structure similar matrix according to user, can be true
Determine the potential bean vermicelli of potentiality singer.
Fig. 3 is the data analysing method flow signal provided in an embodiment of the present invention that the third listens an old song form to be based on user
Figure.As shown in figure 3, this method is except including the second provided in this embodiment data analysing method for listening an old song form to be based on user
In step 201-205 beyond, further include step 206 after step 205.
Step 206, message is bought to the concert admission ticket of bean vermicelli and potential bean vermicelli push potentiality singer.
The data analysing method provided in an embodiment of the present invention that the third listens an old song form to be based on user, it is self-defined by calculating
Singer's temperature and singer's temperature growth rate in time, can accurately determine potentiality singer.Song data are listened according to user, can
To determine the bean vermicelli of potentiality singer, song data are listened and using collaborative filtering structure similar matrix according to user, can be true
Determine the potential bean vermicelli of potentiality singer, and then the crowd for pushing for bean vermicelli and potential bean vermicelli potentiality singer raises the admission ticket purchase of concert
Message.
Fig. 4 is the data analysis system structure diagram provided in an embodiment of the present invention for listening an old song form to be based on user.Such as Fig. 4
Shown, which includes statistical module 501, the odd-numbered day playback volume of all songs for counting each singer；First calculates
Module 502, for the odd-numbered day playback volume according to all songs of each singer, calculates the singer of each singer in self defined time
Temperature；Second computing module 503, for according to singer's temperature, the growth rate of calculating singer's temperature；First determining module 504, is used
In the temperature growth rate according to singer, potentiality singer is determined.
Specifically, the second computing module 503 is specifically used for the growth rate for calculating singer's temperature, including increases all growth rates, the moon
Long rate and season growth rate.
Specifically, which further includes the second determining module 505, for according to potentiality singer, the powder of calculating potentiality singer
Silk and/or potential bean vermicelli.
Specifically, which further includes pushing module 506, for the bean vermicelli to potentiality singer and potential bean vermicelli push potentiality
The concert admission ticket purchase message of singer.
A kind of data analysis system for listening an old song form to be based on user provided in an embodiment of the present invention, during by calculating self-defined
Interior singer's temperature and singer's temperature growth rate, can accurately determine potentiality singer.Song data are listened according to user, can be with
Determine the bean vermicelli of potentiality singer, song data listened and using collaborative filtering structure similar matrix according to user, it may be determined that
The potential bean vermicelli of potentiality singer, and then the crowd for pushing for bean vermicelli and potential bean vermicelli potentiality singer raises the admission ticket purchase of concert and disappears
Breath.
Embodiment above, has carried out the purpose of the present invention, technical solution and beneficial effect further in detail
Illustrate, it should be understood that these are only the embodiment of the present invention, the protection model being not intended to limit the present invention
Enclose, within the spirit and principles of the invention, any modification, equivalent substitution, improvement and etc. done, should be included in the present invention
Protection domain within.
Claims (10)
1. a kind of data analysing method for listening an old song form to be based on user, it is characterised in that comprise the following steps：
Count the odd-numbered day playback volume of all songs of each singer；
According to the odd-numbered day playback volume of all songs of each singer, the singer for calculating each singer in self defined time is hot
Degree；
According to singer's temperature, the growth rate of singer's temperature is calculated；
According to the growth rate of singer's temperature, potentiality singer is determined.
2. according to the method described in claim 1, it is characterized in that, the growth rate of singer's temperature includes all growth rates, the moon
One or more of growth rate and season growth rate.
3. according to the method described in claim 2, it is characterized in that, the formula for calculating all growth rates is：RW=(W2-W1)/
W1, wherein, RWRepresent all growth rates, W2Represent singer's temperature of upper one week, W1For the singer heat of nearly one week
Degree；
The formula for calculating the moon growth rate is：RM=(M2-M1)/M1, wherein, RMRepresent the moon growth rate, M2Represent upper one
Singer's temperature of the moon, M1For singer's temperature in nearly January；
The formula for calculating the season growth rate is：RQ=(Q2-Q1)/Q1, wherein, RQRepresent the season growth rate, Q2Represent upper one
Singer's temperature in season, Q1For singer's temperature in a nearly season.
4. according to the method described in claim 2, it is characterized in that, the growth rate according to singer's temperature, determines latent
Power singer's step is specially：All growth rate, moon growth rate and the season growth rate are ranked up, according to the result of the sequence
Select growth rate and come preceding 10 singer and be determined as the potentiality singer.
5. according to the method described in claim 1, it is characterized in that, in the growth rate according to singer's temperature, determine
After potentiality singer's step, step is further included：
According to the potentiality singer, the bean vermicelli of the potentiality singer and/or potential bean vermicelli are calculated；It is described to be sung according to the potentiality
Hand, the bean vermicelli step for calculating the potentiality singer are specially：Count each user listen to the potentiality singer number of songs and
Total broadcasting time, when the number of songs and total broadcasting time are all respectively more than the first given threshold and the second given threshold
When, determine that the user is the bean vermicelli of the potentiality singer；
It is described according to the potentiality singer, the potential bean vermicelli step for calculating the potentiality singer specifically includes：
Using cosine similarity algorithm, the similarity of the whole songs of calculating, wherein, the whole songs include each singer
All songs；
According to the similarity of whole songs, using the song similar matrix of collaborative filtering structure whole songs；
The song listened to according to the song similar matrix and each user in nearly two months, calculates each user's
Recommend song；
According to the recommendation song, the potential bean vermicelli of the potentiality singer is determined.
6. according to the method described in claim 5, it is characterized in that, after the definite bean vermicelli and the potential bean vermicelli step,
Further include step：The concert admission ticket that the potentiality singer is pushed to the bean vermicelli and the potential bean vermicelli buys message.
A kind of 7. data analysis system for listening an old song form to be based on user, it is characterised in that including：
Statistical module, the odd-numbered day playback volume of all songs for counting each singer；
First computing module, for the odd-numbered day playback volume according to all songs of each singer, calculates in self defined time
Singer's temperature of each singer；
Second computing module, for according to singer's temperature, calculating the growth rate of singer's temperature；
First determining module, for the temperature growth rate according to the singer, determines potentiality singer.
8. system according to claim 7, it is characterised in that second computing module is specifically used for, and calculates the song
The growth rate of hand temperature includes all growth rate, moon growth rate and season growth rate；
The formula for calculating all growth rates is：RW=(W2-W1)/W1, wherein, RWRepresent all growth rates, W2Represent upper one
Singer's temperature in week, W1For singer's temperature of nearly one week；
The formula for calculating the moon growth rate is：RM=(M2-M1)/M1, wherein, RMRepresent the moon growth rate, M2Represent upper one
Singer's temperature of the moon, M1For singer's temperature in nearly January；
The formula for calculating the season growth rate is：RQ=(Q2-Q1)/Q1, wherein, RQRepresent the season growth rate, Q2Represent upper one
Singer's temperature in season, Q1For singer's temperature in a nearly season.
9. system according to claim 7, it is characterised in that the second determining module is further included, for according to the potentiality
Singer, calculates the bean vermicelli of the potentiality singer and/or potential bean vermicelli；
It is described according to the potentiality singer, the bean vermicelli for calculating the potentiality singer is specially：Count each user and listen to described dive
The number of songs of power singer and total broadcasting time, when the number of songs and total broadcasting time are all set more than first respectively
When threshold value and the second given threshold, bean vermicelli of the user for the potentiality singer is selected；
It is described according to the potentiality singer, the potential bean vermicelli for calculating the potentiality singer specifically includes following steps：
Using cosine similarity algorithm, the similarity of the whole songs of calculating, wherein, the whole songs include each singer
All songs；
According to the similarity of whole songs, using the song similar matrix of collaborative filtering structure whole songs；
The song listened to according to the song similar matrix and each user in nearly two months, calculates each user's
Recommend song；
According to the recommendation song, the potential bean vermicelli of the potentiality singer is determined.
10. system according to claim 9, it is characterised in that further include pushing module, the pushing module is used for institute
State the bean vermicelli of potentiality singer and the potential bean vermicelli pushes the concert admission ticket purchase message of the potentiality singer.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110830809A (en) * | 2019-11-20 | 2020-02-21 | 咪咕动漫有限公司 | Video content heat determination method, electronic device and storage medium |
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