CN108491537A - User preference information processing method, device, equipment and medium - Google Patents
User preference information processing method, device, equipment and medium Download PDFInfo
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- CN108491537A CN108491537A CN201810279000.8A CN201810279000A CN108491537A CN 108491537 A CN108491537 A CN 108491537A CN 201810279000 A CN201810279000 A CN 201810279000A CN 108491537 A CN108491537 A CN 108491537A
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Abstract
The present invention provides a kind of user preference information processing method, device, equipment and media.Wherein, this method includes：The preference information that user is extracted in record to music is listened to from the music of user；Quantify preference information, obtains preference information quantized value；Same artistical preference information quantized value is summed it up, the value that adduction is obtained is as the artistical weighted value；According to weighted value, draw a contour line figure on artist's stratification map.Through the invention, it solves the problems, such as that the preference information of the music to user in the related technology is difficult to that artist is used to be shown for granularity, realizes the technique effect for showing the music preferences information of user using artist as granularity and using intuitive patterned form.
Description
Technical field
The present invention relates to data processing fields, in particular to a kind of user preference information processing method, device, set
Standby and medium.
Background technology
Internet era Streaming Media becomes the principal mode for listening to music, and user need not be confined to entity music, to
Taste more diversification.In recent years, more and more to the visual presentation for listening to record and music taste of user, typical case
Such as the artist that explr.fm (with reference to figure 1) listened to user sorts out according to country, is showed on world map.From
It is rendered as the angle of map, this is most like with this programme.In addition there is (with reference to the figure 2) using QQ music as representative, analyze respectively
User shows the preference in singer, school, languages and age with forms such as pie charts.
Inventor has found in the course of the research：
1, the shortcomings that explr.fm schemes, is the style of artist itself and there is no obvious relations in geographical location, therefore should
Method cannot embody the music taste distribution of user.And this map is equal to true map, and the feeling of freshness of user is caused to lack
It loses, new music, which does not have positive effect, to be found to user.
2, QQ music scheme is substantially the ranking list that user's different dimensions listen to data, only to the statement of historical data,
There is no novelty on ways of presentation, new music, which does not have positive effect, equally to be found to user.In addition, according to artistical school point
The languages of class or music classification etc., it is very abstract for music/artistical classification；For example, when using QQ music scheme exhibitions
When the music preferences of existing a certain user, it is difficult to embody user to specific artistical inclined in a certain specific school or languages
Good situation.
In conclusion being difficult to that artist is used to carry out for granularity to the preference information of the music of user in the related technology
The problem of displaying, currently no effective solution has been proposed.
Invention content
The present invention provides a kind of user preference information processing method, device, equipment and media, at least to solve related skill
The problem of preference information of the music of user is difficult to that artist is used to be shown for granularity in art.
In a first aspect, an embodiment of the present invention provides a kind of user preference information processing methods, including：
The preference information for extracting the user to music in record is listened to from the music of user；
Quantify the preference information, obtains preference information quantized value；
The same artistical preference information quantized value is summed it up, the value that adduction is obtained is as the artistical weight
Value；
According to the weighted value, draw a contour line figure on artist's stratification map.
Second aspect, an embodiment of the present invention provides a kind of user preference information processing unit, described device includes：
Extraction module, for listening to the preference information for extracting the user to music in record from the music of user；
Quantization modules obtain preference information quantized value for quantifying the preference information；
Module is summed it up, for summing it up the same artistical preference information quantized value, the value that adduction is obtained is as this
Artistical weighted value；
Drafting module, for according to the weighted value, to draw a contour line figure on artist's stratification map.
The third aspect, an embodiment of the present invention provides a kind of user preference information processing equipments, including：At least one processing
Device, at least one processor and the computer program instructions being stored in the memory, when the computer program instructions
The method described in first aspect is realized when being executed by the processor.
Fourth aspect, an embodiment of the present invention provides a kind of computer readable storage mediums, are stored thereon with computer journey
Sequence instructs, and the method described in first aspect is realized when the computer program instructions are executed by processor.
User preference information processing method, device, equipment and the medium provided through the embodiment of the present invention, using from user
Music listen in record extraction user to the preference information of music；Quantify preference information, obtains preference information quantized value；Adduction
Same artistical preference information quantized value, the value that adduction is obtained is as the artistical weighted value；According to weighted value, in skill
Draw a contour line the mode of figure on astrologist's stratification map, and the preference information for solving the music to user in the related technology is difficult to
The problem of using artist to be shown for granularity is realized using artist as granularity and is shown using intuitive patterned form
The technique effect of the music preferences information of user.
Description of the drawings
Attached drawing described herein is used to provide further understanding of the present invention, and is constituted part of this application, this hair
Bright illustrative embodiments and their description are not constituted improper limitations of the present invention for explaining the present invention.In the accompanying drawings：
Fig. 1 is the schematic diagram according to the music map of the explr.fm of the relevant technologies；
Fig. 2 is the schematic diagram shown according to the QQ music user preference datas of the relevant technologies；
Fig. 3 is the flow chart of user preference information processing method according to the ... of the embodiment of the present invention；
Fig. 4 is the flow chart of user preference information processing method according to the preferred embodiment of the invention；
Fig. 5 is the structure diagram of user preference information processing unit according to the ... of the embodiment of the present invention；
Fig. 6 is the hardware architecture diagram of user preference information processing equipment according to the ... of the embodiment of the present invention；
Fig. 7 is the signal of the contour map according to the preferred embodiment of the invention drawn in artist's stratification map
Figure.
Specific implementation mode
The feature and exemplary embodiment of various aspects of the invention is described more fully below, in order to make the mesh of the present invention
, technical solution and advantage be more clearly understood, with reference to the accompanying drawings and embodiments, the present invention is further retouched in detail
It states.It should be understood that specific embodiment described herein is only used for explaining the present invention, it is not intended to limit the present invention.For ability
For field technique personnel, the present invention can be implemented in the case of some details in not needing these details.It is right below
The description of embodiment is just for the sake of by showing that the example of the present invention is better understood from the present invention to provide.
It should be noted that herein, the terms "include", "comprise" or its any other variant are intended to non-row
His property includes, so that the process, method, article or equipment including a series of elements includes not only those elements, and
And further include other elements that are not explicitly listed, or further include for this process, method, article or equipment institute it is intrinsic
Element.In the absence of more restrictions, the element limited by sentence " including ... ", it is not excluded that including element
There is also other identical elements in process, method, article or equipment.
A kind of user preference information processing method is provided in the present embodiment, and Fig. 3 is use according to the ... of the embodiment of the present invention
The flow chart of family preference information processing method, as shown in figure 3, the flow includes the following steps：
Step S301 listens to the preference information that user is extracted in record to music from the music of user；
Step S302 quantifies preference information, obtains preference information quantized value；
Step S303 sums it up same artistical preference information quantized value, and the value that adduction is obtained is artistical as this
Weighted value；
Step S304, according to weighted value, draw a contour line figure on artist's stratification map.
Through the above steps, using same artistical preference information quantized value as artistical weighted value, in artist
Draw a contour line figure on stratification map, and each vertex is seat of the artist in artist's stratification map in contour map
Mark.Due to will be by artist distribution wherein, wherein more similar according to artistical feature in artist's stratification map
Artist's distance is closer, and more dissimilar artist distance is remoter.Therefore, according to artistical on artist's stratification map
Weighted value can also contour map, on the one hand can be that granularity embodies user and believes the preference of artist/music using artist
Breath, it is special that position of the another aspect contour map in artist's stratification map also can intuitively embody the artistical style
Sign.As it can be seen that through the above steps, the preference information for solving the music to user in the related technology is difficult to use artist for grain
The problem of degree is shown realizes the music preferences that user is shown using artist as granularity and using intuitive patterned form
The technique effect of information.
In addition, artist's stratification map depicts the overall picture in entire artist/music world, in artist/music generation
The exclusive music preferences range of individual subscriber is depicted in the overall picture on boundary, also increases user to artist/music world, and
The understanding of positioning of itself preference in artist/music world, and improve interest.
Arbitrary known artist's stratification in the prior art may be used in the mode of Generative Art person's stratification map
Map generating mode.Optionally, in the present embodiment, Generative Art man stratification map includes：It is carried from artistical information
Feature vector is taken, and hierarchical clustering is carried out to the artist according to described eigenvector, it is poly- to obtain the artistical level
Class result；Promise nomography is tieed up using weighting, according to the classification quantity of the hierarchical clustering result, and with skill described in each classification
The number of astrologist generates artist's stratification map as weight.
Optionally, following mode Generative Art person's stratification map specifically may be used：
Step 1, origin coordinates is selected, and using weighting dimension promise nomography, according to the upper layer classification number of hierarchical clustering result
Amount, artistical number calculates coordinate and the boundary of upper layer classification as weight in being classified using each upper layer；
Step 2, by coordinate centered on the coordinate of upper layer classification, promise nomography is tieed up using weighting, according to hierarchical clustering knot
The quantity of next layer of classification in the upper layer classification of fruit, artistical number described in each next layer of classification is made in being classified with upper layer
For weight, the coordinate of each next layer of classification and boundary in the classification of upper layer are calculated；
Step 3, in the case where the number of plies of layering is more than two layers, then above-mentioned calculating process is repeated, until calculating bottom
The coordinate of classification and boundary；It should be noted that if being layered as two layers, next layer of classification of upper layer classification is bottom point
Class.
Step 4, whole artistical coordinates in bottom classification are generated at random in the boundary of bottom classification, and execute dimension promise
Nomography, so that the artistical coordinate of whole in bottom classification is evenly distributed in the boundary of bottom classification.
Optionally, above-mentioned artist's stratification map is the map of scalable vector graphics format；Using scalable arrow
Graphics format can depending on the user's operation zoom in and out map.It is excellent in artist's stratification map when Display Art man
It first shows popular artist's (including icon and text information), and hides the artist of opposite unexpected winner, to avoid the display of equipment
The artist shown in region excessively influences user's identification.Hot topic artist therein refers to attention rate, and/program request number/likes number greatly
In the artist of a certain predetermined threshold.The degree that above-mentioned predetermined threshold is scaled according to artist's stratification map is different and becomes
Change, to keep artist's quantity in the display area of equipment suitable horizontal.
Optionally, in order to avoid user generates result to the single extremely operation that music/artist executes to contour map
Influence, summing it up same artistical preference information quantized value, the value that adduction is obtained is as corresponding artistical weight
Before value, also same artistical preference information quantized value is filtered.
When user listens to a certain music, the operation that may be carried out includes at least one of：It completely plays, skip, mark
Note red heart (indicating " I likes ") is lost into dustbin (expression " I does not like ")；These operations are so-called in the present embodiment
Preference information.
In some instances, quantify the preference information of user by the way of following：When user is first using red heart label one
When music, this preference information is quantified as 5, and (preferred value can select other numerical value, not do herein in other embodiments
It limits)；When user completely plays a piece of music, this preference information is quantified as 1, and (preferred value in other embodiments may be used
It to select other numerical value, does not limit herein)；When user, which skips, plays a piece of music, this preference information is quantified as-
1 (preferred value can select other numerical value, not limit herein in other embodiments)；When user by a piece of music lose into
When dustbin, this preference information is quantified as -5, and (preferred value can select other numerical value, herein simultaneously in other embodiments
It does not limit).
In view of there may be accidentalia for some operations of same artistical music by user, for example, user exists
It is music mark red heart when listening to a piece of music for the first time, but user does not recognize the artist, and user is to the artist
Other music all do not had yet any other contact, then according to this time label red heart operation can not judge user like
This joyous artist.Therefore, in order to which the preference information for excluding to sample very few caused user judges distortion, in the present embodiment also
Artistical preference quantized value is filtered.
Optionally, to same artistical preference information quantized value be filtered including：Believe in same artistical preference
In the case that the quantity of breath quantized value is less than 2, same artistical preference information quantized value is filtered off；Or filter off same artist
Preference information quantized value in maximum absolute value a preference information quantized value.
Optionally, according to weighted value, the figure that draws a contour line on artist's stratification map includes the following steps：
Step S304-1 is with the absolute value of weighted value centered on the corresponding artistical artist's coordinate of weighted value
Radius draws artistical coverage, wherein the absolute value of influence power of the artist in coverage with artist
The distance of coordinate increases and decays, and influence power of the artist on artist's coordinate is weighted value；
Step S304-2, in the case where multiple artistical coverages are overlapped, in the overlay region of coverage
The influence power that certain is put in domain is influence power the sum of of multiple artists on certain point；
Step S304-3, according to influence power of the artist on artist's stratification map, draw a contour line figure.
The schematic diagram for the contour map drawn on artist's stratification map is shown in Fig. 7.
When realizing above-mentioned contour map drawing process using computer, the weighted value quilt of artist's coordinate and artist couple
It is stored in the private maps matrix of user.Flow that above-mentioned contour map is drawn is realized using computer as shown in figure 4, with reference to
Fig. 4 adds a little noise, and logarithm passes through tanh reality to realize the scrambling on boundary in result of calculation
It now normalizes, obtains the normalization private maps matrix of user.In order to reduce the load of display end, Gaussian mode is carried out to the matrix
Paste, it is smooth to be realized to image boundary.Contour is solved to private maps data matrix, obtains the contour of several representatives ' liking '
Line and the contour of ' not liking ', the positive value and negative value of difference corresponding data.When user asks my map, according to working as
The contour that the grade dynamic generation of preceding user's map scaling should be shown at this time, and it is formed by polygon in different contours
Different colors is drawn between region.When the map zoom level of user changes, contour can then repaint.
Optionally, when the artist's stratification map generated using aforesaid way, which artist user, which can see, is
One group, the distant relationships between artist and artist.An artist name is clicked, it is artistical in detail that this can be popped up on map
Feelings page, above it can be seen that artistical information, works and Similar content, user can complete to listen to above, also can be from
The artist sets out, and explores the works of more similar artists.
Optionally, in the present embodiment, private maps (being superimposed upon the contour map in artist's stratification map) face
Color is liked and (not being liked) more deeply feeling the more shown, the bigger expression of area is listened more.On entire music map, user can intuitively see
To the location of oneself private maps and range, from macroscopically having understood the hobby or gap of oneself.When using private maps,
Like the closer artist in part apart from private maps, the possibility that user also likes him is higher；One is clicked in private maps
Artist checks his similar artist, when similar artist appears in the grouping seldom listened, convenient for developing user to new sound
The understanding in happy field.
Record sort and visualization are listened to regard to user on true map compared in explr.fm etc., the present invention is implemented
Example according to artistical data of listening to generates a virtual map, on this map, artist no longer according to geographical location into
Row cluster, but root is clustered according to itself style and listener's taste, user by the data of oneself on this map can
It can more intuitively find out the music style oneself dabbled and oneself unfamiliar music style depending on changing, facilitate user
It was found that new music.
A kind of user preference information processing unit is additionally provided in the present embodiment, and the device is for realizing above-described embodiment
And preferred embodiment, carried out repeating no more for explanation.As used below, term " module ", " unit " or
The combination of the software and/or hardware of predetermined function may be implemented in " subelement " etc..Although device described in following embodiment compared with
It is realized goodly with software, but the realization of the combination of hardware or software and hardware is also that may and be contemplated.
Fig. 5 is the structure diagram of user preference information processing unit according to the ... of the embodiment of the present invention, as shown in figure 5, the dress
Set including：
Extraction module 51, for listening to the preference information for extracting the user to music in record from the music of user；
Quantization modules 52 obtain preference information quantized value for quantifying the preference information；
Sum it up module 53, for summing it up the same artistical preference information quantized value, using the obtained value of adduction as
The artistical weighted value；
Drafting module 54, for according to the weighted value, to draw a contour line figure on artist's stratification map.
Optionally, device further includes：Cluster module, for extracting feature vector from artistical information, and according to institute
It states feature vector and hierarchical clustering is carried out to the artist, obtain the artistical hierarchical clustering result；Generation module is used for
Promise nomography is tieed up using weighting, according to the classification quantity of the hierarchical clustering result, and with artistical described in each classification
Number generates artist's stratification map as weight.
Optionally, generation module is using weighting dimension promise nomography, according to the classification quantity of the hierarchical clustering result, and with
As weight, generate artist's stratification map includes artistical number described in each classification：Selected origin coordinates,
And using weighting dimension promise nomography, according to the upper layer classification quantity of the hierarchical clustering result, described in the classification of each upper layer
Weight of the artistical number as weighting dimension promise nomography calculates coordinate and the boundary of the upper layer classification；By the upper layer
Coordinate centered on the coordinate of classification ties up promise nomography using weighting, classifies according to the upper layer of the hierarchical clustering result
In next layer of classification quantity, in being classified using the upper layer artistical number described in each next layer of classification as weight,
Calculate the coordinate of each next layer of classification and boundary in the upper layer classification；Above-mentioned calculating process is repeated, until calculating bottom
The coordinate of classification and boundary；Generate whole artistical seats in the bottom classification at random in the boundary of bottom classification
Mark, and dimension promise nomography is executed, so that the artistical coordinate of whole in bottom classification is evenly distributed on the bottom point
In the boundary of class.
Optionally, device further includes filtering module, will for summing it up the same artistical preference information quantized value
Obtained value is summed it up as corresponding artistical weighted value before to the same artistical preference information quantized value
It is filtered.
Optionally, filtering module to the same artistical preference information quantized value be filtered including：Institute
In the case of the quantity of the same artistical preference information quantized value is stated less than 2, filter off described same artistical described
Preference information quantized value；Or filter off one of maximum absolute value in the same artistical preference information quantized value partially
Good information quantization value.
Optionally, according to the weighted value, the figure that draws a contour line on artist's stratification map includes drafting module 54：
Centered on the corresponding artistical artist's coordinate of the weighted value, using the absolute value of the weighted value as radius, institute is drawn
State artistical coverage, wherein the absolute value of influence power of the artist in the coverage with it is described
The distance of artist's coordinate increases and decays, and influence power of the artist on artist's coordinate is the weight
Value, the artist is zero in the borderline influence power of the coverage；In multiple artistical coverage phase mutual respects
In the case of folded, certain influence power put is shadow of the multiple artist on certain described point in the overlapping region of coverage
Ring the sum of power；According to influence power of the artist on artist's stratification map, the contour map is drawn.
It should be noted that above-mentioned modules can be realized by software or hardware, for the latter, Ke Yitong
Following manner realization is crossed, but not limited to this：Above-mentioned module is respectively positioned in same processor；Alternatively, above-mentioned module be located at it is more
In a processor.
In addition, the user preference information processing method in conjunction with Fig. 3 embodiment of the present invention described can be believed by user preference
Processing equipment is ceased to realize.Fig. 6 shows that the hardware configuration of user preference information processing equipment provided in an embodiment of the present invention shows
It is intended to.
User preference information processing equipment may include processor 61 and the memory for being stored with computer program instructions
62。
Specifically, above-mentioned processor 61 may include central processing unit (CPU) or specific integrated circuit
(Application Specific Integrated Circuit, ASIC), or may be configured to implement implementation of the present invention
One or more integrated circuits of example.
Memory 62 may include the mass storage for data or instruction.For example unrestricted, memory
62 may include hard disk drive (Hard Disk Drive, HDD), floppy disk, flash memory, CD, magneto-optic disk, tape or logical
With the combination of universal serial bus (Universal Serial Bus, USB) driver or two or more the above.It is closing
In the case of suitable, memory 62 may include the medium of removable or non-removable (or fixed).In a suitable case, memory
62 can be inside or outside data processing equipment.In a particular embodiment, memory 62 is non-volatile solid state memory.
In specific embodiment, memory 62 includes read-only memory (ROM).In a suitable case, which can be masked edit program
ROM, programming ROM (PROM), erasable PROM (EPROM), electric erasable PROM (EEPROM), electrically-alterable ROM (EAROM)
Or the combination of flash memory or two or more the above.
Processor 61 is by reading and executing the computer program instructions stored in memory 62, to realize above-described embodiment
In any one user preference information processing method.
In one example, user preference information processing equipment may also include communication interface 63 and bus 60.Wherein, as schemed
Shown in 6, processor 61, memory 62, communication interface 63 are connected by bus 60 and complete mutual communication.
Communication interface 63 is mainly used for realizing in the embodiment of the present invention between each module, device, unit and/or equipment
Communication.
Bus 60 includes hardware, software or both, and the component of user preference information processing equipment is coupled to each other together.
For example unrestricted, bus may include accelerated graphics port (AGP) or other graphics bus, enhancing Industry Standard Architecture
(EISA) bus, front side bus (FSB), super transmission (HT) interconnection, Industry Standard Architecture (ISA) bus, infinite bandwidth interconnect, are low
Number of pins (LPC) bus, memory bus, micro- channel architecture (MCA) bus, peripheral component interconnection (PCI) bus, PCI-
Express (PCI-X) bus, Serial Advanced Technology Attachment (SATA) bus, Video Electronics Standards Association part (VLB) bus or
The combination of other suitable buses or two or more the above.In a suitable case, bus 60 may include one
Or multiple buses.Although specific bus has been described and illustrated in the embodiment of the present invention, the present invention considers any suitable bus
Or interconnection.
The user preference information processing equipment can be based on the data got, and the user executed in the embodiment of the present invention is inclined
Good information processing method, to realize the user preference information processing method described in conjunction with Fig. 3.
In addition, in conjunction with the user preference information processing method in above-described embodiment, the embodiment of the present invention can provide a kind of meter
Calculation machine readable storage medium storing program for executing is realized.It is stored with computer program instructions on the computer readable storage medium；The computer journey
Any one user preference information processing method in above-described embodiment is realized in sequence instruction when being executed by processor.
It should be clear that the invention is not limited in specific configuration described above and shown in figure and processing.
For brevity, it is omitted here the detailed description to known method.In the above-described embodiments, several tools have been described and illustrated
The step of body, is as example.But procedure of the invention is not limited to described and illustrated specific steps, this field
Technical staff can be variously modified, modification and addition after the spirit for understanding the present invention, or suitable between changing the step
Sequence.
The foregoing is only a preferred embodiment of the present invention, is not intended to restrict the invention, for the skill of this field
For art personnel, the invention may be variously modified and varied.All within the spirits and principles of the present invention, any made by repair
Change, equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.
Claims (9)
1. a kind of user preference information processing method, which is characterized in that including：
The preference information for extracting the user to music in record is listened to from the music of user；
Quantify the preference information, obtains preference information quantized value；
The same artistical preference information quantized value is summed it up, the value that adduction is obtained is as the artistical weighted value；
According to the weighted value, draw a contour line figure on artist's stratification map.
2. according to the method described in claim 1, it is characterized in that, the method further includes：
Feature vector is extracted from artistical information, and hierarchical clustering is carried out to the artist according to described eigenvector,
Obtain the artistical hierarchical clustering result；
Promise nomography is tieed up using weighting, according to the classification quantity of the hierarchical clustering result, and with artistic described in each classification
The number of family generates artist's stratification map as weight.
3. according to the method described in claim 2, it is characterized in that, using weighting dimension promise nomography, according to the hierarchical clustering
As a result classification quantity, and using artistical number described in each classification as weight, generate the artist hierarchically
Figure includes：
Selected origin coordinates, and using weighting dimension promise nomography, according to the upper layer classification quantity of the hierarchical clustering result, with every
Weight of the artistical number as weighting dimension promise nomography described in the classification of a upper layer, calculate the coordinate of the upper layer classification with
Boundary；
Coordinate centered on the coordinate that the upper layer is classified ties up promise nomography, according to the hierarchical clustering result using weighting
Upper layer classification in next layer of classification quantity, it is artistical described in each next layer of classification in being classified with the upper layer
Number calculates the coordinate of each next layer of classification and boundary in the upper layer classification as weight；Above-mentioned calculating process is repeated, directly
To the coordinate and boundary for calculating bottom classification；
It generates whole artistical coordinates in the bottom classification at random in the boundary of bottom classification, and executes Wei Nuotu
Algorithm, so that the artistical coordinate of whole in bottom classification is evenly distributed in the boundary of the bottom classification.
4. according to the method described in claim 1, it is characterized in that, summing it up the same artistical preference information quantization
Value, before the value that adduction is obtained is as corresponding artistical weighted value, the method further includes：
The same artistical preference information quantized value is filtered.
5. according to the method described in claim 4, it is characterized in that, to the same artistical preference information quantized value
Be filtered including：
In the case where the quantity of the same artistical preference information quantized value is less than 2, the same art is filtered off
The preference information quantized value of family；Or
Filter off a preference information quantized value of maximum absolute value in the same artistical preference information quantized value.
6. the method according to any one of claims 1 to 5, it is characterized in that, according to the weighted value, in artist's layer
The figure that draws a contour line on secondaryization map includes：
Centered on the corresponding artistical artist's coordinate of the weighted value, using the absolute value of the weighted value as radius, paint
Make the artistical coverage, wherein the absolute value of influence power of the artist in the coverage with
The distance of artist's coordinate increases and decays, and influence power of the artist on artist's coordinate is the power
Weight values；
In the case where multiple artistical coverages are overlapped, certain is put in the overlapping region of coverage influence power
It is influence power the sum of of the multiple artist on certain described point；
According to influence power of the artist on artist's stratification map, the contour map is drawn.
7. a kind of user preference information processing unit, which is characterized in that described device includes：
Extraction module, for listening to the preference information for extracting the user to music in record from the music of user；
Quantization modules obtain preference information quantized value for quantifying the preference information；
Module is summed it up, for summing it up the same artistical preference information quantized value, the value that adduction is obtained is as the art
The weighted value of family；
Drafting module, for according to the weighted value, to draw a contour line figure on artist's stratification map.
8. a kind of user preference information processing equipment, which is characterized in that including：At least one processor, at least one processor
And the computer program instructions in the memory are stored in, when the computer program instructions are executed by the processor
Realize the method as described in any one of claim 1-6.
9. a kind of computer readable storage medium, is stored thereon with computer program instructions, which is characterized in that when the computer
The method as described in any one of claim 1-6 is realized when program instruction is executed by processor.
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