CN102664031A - Music recommendation system and method with navigation characteristic - Google Patents
Music recommendation system and method with navigation characteristic Download PDFInfo
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Abstract
A music recommendation method and system with navigation features is provided, which aims to guide users to explore music in a gradual way and improve the listening breadth of music; after a user sets seed songs or specific conditions as a starting point and an end point of music navigation, the music recommendation system can extract a plurality of oriented music attributes, automatically plan related music paths and enable the user to share favorite song lists and purchase songs.
Description
Technical field
The present invention relates to a kind of music recommend System and method for of tool navigation features.
Background technology
Cause is the universalness of world-wide web in recent years; Much human all has portable musical instruments; Like the Zune equipment or the music phone of MP3 player, iPod shuffle, Microsoft, current these musical instrumentses provide one " shuffling " (shuffle) function, select playback of songs at random.This method is applicable to small-sized media collection; Can't gather by resilient expansion to large media, for example, in the Qu Ku that 10,000 first songs are arranged, use shuffle; To cause only comprising in the played songs song that several first hearers are interested in; Along with the song amount is big more, the user hears that the ratio of liking song also can be low more, because the user does not have real control.Another kind of commonly used mode be " song that I play recently ", writes down the song that the consumer had listened, playlist is guaranteed the song that the consumer is familiar with, and shortcoming is that this method has been eliminated the possibility that the consumer touches new song or is unfamiliar with song.Also have a kind of method to be " similar song ", this method can produce and initial seed-song or the similar playing list of song classification based on the acoustics similarity, but shortcoming is can produce to sound similar song, the single variability that lacks of feasible song.A kind of in addition method is the utilization expert or the mode of machine learning, and music assorting is become various attribute, is construed as a high-dimensional space; Import seed music according to the user; Seek music contiguous on this space, produce playing list, like U.S. US7003515 patent.This type of commending system, interactive not enough with the recommendation transparency, the user can't further sing single according to the situation adjustment.
This shows that above-mentioned existing mode still has many disappearances, real non-kindhearted design, and demand urgently improveing.
Summary of the invention
The purpose of this invention is disappearance and the restriction to traditional automatic music recommend method, through the innovation of algorithm and the design of software method, proposes the music recommend System and method for of a kind of tool order and directivity.The music recommend System and method for of this tool navigation features; When assisting the user to search the music that to like; Also can the strange music field of gradual exploration, solved in the past and recommended song style limitation and the not enough problem of playing list continuity in the automatic music recommend method.
The technical scheme that realizes above-mentioned purpose is following:
A kind of music recommend method of tool navigation features comprises the following steps:
Step 4, the hobby feedback condition that gives according to the user, and all the song spacings relations after upgrading recalculate and satisfy condition and several music paths that distance is the shortest; And
A kind of music recommend system of tool navigation features, system comprise with lower module:
Library music;
Navigation starting and terminal point initial parameter setting module;
Music path initial plan module is connected with said library music and said navigation starting and terminal point initial parameter setting module;
The user likes the feedback module;
Music path adjusting module is liked the feedback module with said library music and said user and is connected;
The music path presents module, likes the feedback module with said music path adjusting module, said user and said music path initial plan module is connected; And
The music path is shared and is bought module, presents module with said music path and is connected.
The user sets seed-song or specified conditions, as the Origin And Destination of music navigation.Music recommend of the present invention system can extract multiaspect to music attribute; According to the song different facial to correlativity; Automatically cook up music path (promptly recommending the song list); And pass through satisfaction feedback and user's hobby, and can dynamically adjust the music path planning, also can let the user share music path and purchase song at last.
The present invention provides the music recommend method and the system of a tool navigation features, when comparing each other with other prior aries, has more and gets the row advantage ready:
Multiaspect to music analysis: through extract a plurality of towards music attribute, analyze the correlativity of music automatically;
2. have a music recommend of navigation features:, the music path that meets target, abundant and changing property is provided according to Origin And Destination;
3. dynamic adjustment mechanism: set through user satisfaction feedback and preference parameters, can dynamically adjust the music path;
4. share the music path and buy song: the music path that the user can share system recommends and buy the song on the music path.
Description of drawings
Fig. 1 is the music recommend system architecture diagram of tool navigation features of the present invention;
Fig. 2 is the music recommend method process flow diagram of tool navigation features of the present invention;
Fig. 3 is a music of the present invention path starting and terminal point configuration interface;
Fig. 4 is a music of the present invention path initial parameter configuration interface;
Fig. 5 is a library music embodiment of the present invention;
Fig. 6 is a song spacing matrix embodiment of the present invention;
Fig. 7 is a song spacing graph of a relation embodiment of the present invention;
Fig. 8 is for music of the present invention path presents module, the user likes the feedback module and share and purchase module interface in the music path; And
Fig. 9 is a preference parameters configuration interface of the present invention.
Description of reference numerals
11, musical database,
12, navigation starting and terminal point initial parameter setting module,
13, music path initial plan module,
14, the music path presents module,
15, the user likes the feedback module,
16, music path adjusting module,
17, the music path is shared and is bought module.
Embodiment
Below in conjunction with embodiment the present invention is done further elaboration:
See also shown in Figure 1; Be about for the music recommend system architecture diagram of tool navigation features of the present invention; System of the present invention presents module 14, user by music money database 11, navigation starting and terminal point initial parameter setting module 12, music path initial plan module 13, music path and likes feedback module 15, music path adjusting module 16 and music path and share and buy module 17 and form; Wherein musical database 11 has mainly been put down in writing following four kinds of musical features of all music, with the main foundation as music path navigation and music recommend.
Music assorting characteristic: like bent wind, musical instrument, age etc.
Connotation of music characteristic: like mood, rhythm, tone color etc.
Music character features: like singer, title of the song, the lyrics, album name etc.
Music exhibition sale characteristic: like song length, download, price etc.
See also shown in Figure 2ly, be the music recommend method process flow diagram about tool navigation features of the present invention, method may further comprise the steps:
Step 1: navigation starting point, terminal point and initial parameter are set;
Step 2: music path initial plan;
Step 3: the user likes feedback;
Step 4: music path adjustment; And
Step 5: music path output.
In step 1, the user utilizes navigation starting and terminal point initial parameter setting module 12 to carry out music navigation initial parameter and sets and the setting of starting and terminal point song.The user can directly specify the Origin And Destination song according to the music character features, or specifies the condition combination of music characteristic of division, connotation of music characteristic, music character features and four types of musical features of music exhibition sale characteristic, as the navigation Origin And Destination.
Example as shown in Figure 3, user's selection is the starting point song by the national language hip hop, rock, rap,pop, that system produces " rhythm is medium " at random, selection singer/impresario's S.H.E. " ocean of love " is as the terminal point song.The user can set the initial parameter of this music navigation simultaneously; Example as shown in Figure 4; The user hopes that the number of songs in music path is 10 head, and the song total length is 30 minutes, and the song total price is 150 yuan; Navigation the song of process be necessary for happy national language hip hop, rock, rap,pop,, and title of the song comprises the ocean and the lyrics comprise blue sky.
In step 2, the music path initial plan module 13 of system calculates the song spacing and cooks up qualified path according to the musical features of user in starting point, terminal point, music navigation initial parameter condition and data bank that step 1 provided.If do not have the path that meets, can get back to last step and ask the user to re-enter; If there is mulitpath all eligible, then exports minimum preceding N paths to the music path of song spacing summation and present module 14.Below with an embodiment method of music path planning is described in detail.
Suppose always to have 7 first songs in the data bank, parameter is as shown in Figure 5.At first define the feature pitch of two first songs: if the same people of singer's characteristic, then to order be 0 to spacing, otherwise spacing is 1; Emotional characteristics is if differ in 0.3, and then to order be 0 to spacing, otherwise spacing is 1; Rhythm characteristic is if differ in 0.2, and then to order be 0 to spacing, otherwise spacing is 1; If bent wind characteristic is identical, and then to order be 0 to spacing, otherwise spacing is 1; If the age characteristic is identical, and then to order be 0 to spacing, otherwise spacing is 1.All feature pitch are added the General Logistics Department promptly try to achieve the song spacing, converge with song spacing matrix and put in order like Fig. 6, the excessive binding of deletion song spacing is greater than after 3 the binding in this illustration 6, can obtain the song spacing graph of a relation of Fig. 7, is price in Fig. 7 brace.
Suppose that initial song is S4, target song is S5, and the user do not set any initial parameter condition, then can obtain the happy path of minor, song be in regular turn S4, S6, S7, S 3, S5}.If user's summation that initial parameter is set price in the music path is 65, then the method for path planning is to list all paths, selects summation near a paths of 65, and two { S4, S6 are arranged in this example; S7, S2, S5} and { S4, S6, S1; S3, S5}, system can select one at random and appear, like { S4; S6, S7, S2, S5}.
The music path presents the music path { S4 that module 14 meetings produce according to above-mentioned music path initial plan module among Fig. 8; S6; S7, S2, S5}; Know clearly and list the song information, comprise music character features (for example: singer, title of the song, the lyrics, album name) and music exhibition sale characteristic (for example: price, download, song length).The user recommends next bar music path button if point is chosen, and then can present time a shortest path { S4, S6, S1, S3, S5} that music path initial plan module is produced.
In step 3, the user can present the music path that module produces according to the music path, utilizes user as shown in Figure 8 to like the hobby feedback that feedback module 15 is carried out a head or how first song, wherein comprises satisfaction and preference parameters and sets.If how first the user is dissatisfied to a head or song, can further set preference parameters, comprise music assorting characteristic, connotation of music characteristic, music character features and music exhibition sale characteristic.
The user likes the method that the feedback module implements and is exemplified below: the music path that the brought forward example is produced S4, and S6, S1, S3, S5} suppose that the user is dissatisfied to song S1, can the satisfaction of S1 be made as dissatisfiedly, and clicks and adjusts music path button among Fig. 8.Next in step 4, music path adjusting module 16 can remove song S1 and keep music path { S4, S6} and { S3 under the situation of S5}, all is set at infinity with the song spacing of song S1 and other songs; Recomputating and finding out starting point is S6, terminal point be S3 the shortest alternative route of preceding M bar with the shortest alternative route S6, S7, S3} replace the { S6 in the original route; S1, S3} becomes adjusted music path { S4, S6; S7, S3, S5}, the music path that is presented to Fig. 8 appears in the module.If the user is dissatisfied to song S3 again; And desire to carry out extra condition and change; Then get back to step 3, the satisfaction of S3 is made as dissatisfied, and click preference parameters again and set button and get into preference parameters and set the page; As shown in Figure 9, set to music assorting characteristic, connotation of music characteristic, music character features and music exhibition sale characteristic.Suppose that selected this bent singer must be A, and Qu Fengwei rural area song, then return Fig. 8 mid point whole music path button of recruiting.Next in step 4, music path adjusting module can remove song S 3 and keep music path { S4, S6, S7} and { under the situation of S5}; The song spacing of song S 3 and other songs is set at infinity, and recomputating and finding out starting point is S7, and terminal point is S5, and meets the shortest alternative route of preceding M bar that preference parameters is set; { S5} replaces { S7, the S3 in the original route for S7, S2 with the shortest alternative route; S5} presents adjusted music path { S4, S6 again; S7, S2, the music path of S5} to Fig. 8 appears in the module.
In step 5, as if all songs in this music path all felt satisfied and do not think revise again, share with purchase module 17 share this music path, or be linked to the network address of buying song later by music then capable of using path for user's audition at last.
The above embodiment has only expressed several kinds of embodiments of the present invention, and it describes comparatively concrete and detailed, but can not therefore be interpreted as the restriction to claim of the present invention.Should be pointed out that for the person of ordinary skill of the art under the prerequisite that does not break away from the present invention's design, can also make some distortion and improvement, these all belong to protection scope of the present invention.Therefore, the protection domain of patent of the present invention should be as the criterion with accompanying claims.
Claims (21)
1. the music recommend method of a tool navigation features is characterized in that, comprises the following steps:
Step 1, the user specifies music navigation Origin And Destination song, and sets initial parameter;
Step 2 is utilized all song spacing relations, finds several the shortest paths of distance between the Origin And Destination that satisfies music navigation initial parameter condition, as the result of music path initial plan;
Step 3, the user according to personal like's feedback condition, carries out preference parameters setting to a unsatisfied head or how first song for the music path that last step produced;
Step 4, the hobby feedback condition that gives according to the user, and all the song spacings relations after upgrading recalculate and satisfy condition and several music paths that distance is the shortest; And
Step 5, repetitiousness execution in step 3 and step 4 all do not have when dissatisfied all songs in said music path up to the user, export final music path.
2. the music recommend method of tool navigation features as claimed in claim 1 is characterized in that, described music comprises music assorting characteristic, connotation of music characteristic, music character features and music exhibition sale characteristic.
3. the music recommend method of tool navigation features as claimed in claim 2 is characterized in that, described music assorting characteristic comprises bent wind, musical instrument and age.
4. the music recommend method of tool navigation features as claimed in claim 2 is characterized in that, described connotation of music characteristic comprises mood, rhythm and tone color.
5. the music recommend method of tool navigation features as claimed in claim 2 is characterized in that, described music character features comprises singer, title of the song, the lyrics and album--name.
6. the music recommend method of tool navigation features as claimed in claim 2, its spy be loaded in, described music exhibition sale characteristic comprises song length, download and price.
7. the music recommend method of tool navigation features as claimed in claim 1; It is characterized in that; Described navigation Origin And Destination song; Specific mode is to be utilized the search of said music character features by the user and to specify said Origin And Destination song; Or set said music assorting characteristic, said connotation of music characteristic, said music character features and the wherein combination of one or more musical features conditions of said music exhibition sale characteristic by the user, select the Origin And Destination song according to the condition random of setting.
8. the music recommend method of tool navigation features as claimed in claim 1 is characterized in that, the setting of described music navigation initial parameter, the musical features that comprises number of songs, song total length of time, song price summation and supply the music path planning.
9. the music recommend method of tool navigation features as claimed in claim 8 is characterized in that, the musical features of described confession music path planning contains music assorting characteristic, connotation of music characteristic, music character features and music exhibition sale characteristic.
10. the music recommend method of tool navigation features as claimed in claim 1; It is characterized in that; Described song spacing relation; The method of setting up is to said music assorting characteristic, said connotation of music characteristic and the indivedual calculated characteristics spacings of said music character features, promptly gets the song spacing behind all feature pitch of totalling.
11. the music recommend method of tool navigation features as claimed in claim 1; It is characterized in that; Described music path initial plan is a spacing graph of a relation of setting up all songs earlier, and the excessive binding of deletion song spacing; Under the said navigation starting and terminal point and initial parameter condition that meet user's setting, find the shortest preceding N bar music path of distance, ordering back.
12. the music recommend method of tool navigation features as claimed in claim 1; It is characterized in that; Described personal like's feedback; The person of being to use can carry out the preference parameters setting to a unsatisfied head or how first song according to the personal like, and wherein preference parameters can comprise said music assorting characteristic, said connotation of music characteristic, said music character features and said music exhibition sale characteristic.
13. the music recommend method of tool navigation features as claimed in claim 1; It is characterized in that; The adjustment of described music path is according to user's unsatisfied one first or how first song and corresponding preference parameters setting, seeks alternative route to substitute this first or how first song; Produce adjusted music path, method comprises following steps:
The song spacing of unsatisfied song and other songs is set at infinity, and upgrades song spacing graph of a relation; The last head of dissatisfied song in the former music path and back one first song are regarded as the Origin And Destination of alternative route; Under the imposing a condition that meets corresponding preference parameters; The song spacing graph of a relation that utilizes last step to upgrade finds the shortest alternative route of ordering back distance; And
After the alternative route combination that all dissatisfied songs are possible in the former music path, get the shortest music path of front distance, as adjusted music path.
14. the music recommend system of a tool navigation features is characterized in that, system comprises with lower module:
Library music;
Navigation starting and terminal point initial parameter setting module;
Music path initial plan module is connected with said library music and said navigation starting and terminal point initial parameter setting module;
The user likes the feedback module;
Music path adjusting module is liked the feedback module with said library music and said user and is connected;
The music path presents module, likes the feedback module with said music path adjusting module, said user and said music path initial plan module is connected; And
The music path is shared and is bought module, presents module with said music path and is connected.
15. the music recommend system of tool navigation features as claimed in claim 14; It is characterized in that; Described navigation starting and terminal point initial parameter setting module is the musical features that utilizes library music to provide, and picks out two first songs automatically by user's appointment or system; With setting value, and provide the user to set the initial parameter of music navigation as planning music initial path Origin And Destination.
16. the music recommend system of tool navigation features as claimed in claim 14; It is characterized in that; Described music path initial plan module; The song spacing graph of a relation of all music is cooked up initial music path in starting point, terminal point, initial parameter and the library music that utilization navigation starting and terminal point initial parameter setting module is provided.
17. the music recommend system of tool navigation features as claimed in claim 14; It is characterized in that; It is that the music path that said music path initial plan module or said music path adjusting module are produced is appeared item by item that described music path presents module, and audition and the function of selecting to recommend next bar music path are provided.
18. the music recommend system of tool navigation features as claimed in claim 14; It is characterized in that; Described user likes the feedback module; Be that the music path is presented a first or how first song in the music path that module appears, utilize the said music assorting characteristic of said library music, said connotation of music characteristic, said music character features and said music exhibition sale characteristic, provide the user to carry out preference parameters and set.
19. the music recommend system of tool navigation features as claimed in claim 14; It is characterized in that; Described music path adjusting module; Be the song spacing graph of a relation of liking all music in preference parameters that the feedback module sets and the said library music according to said former music path, said user, recalculate the music path of satisfying hobby feedback condition.
20. the music recommend system of tool navigation features as claimed in claim 14; It is characterized in that; Described music path is shared and is bought module; Be that said music path is presented the music path that module finally appears, provide the user to share the music path, and the binding network address of buying corresponding song.
21. the music recommend system of tool navigation features as claimed in claim 14; It is characterized in that; Described library music; Being the musical features that stores, wherein is feature pitch and the song spacing graph of a relation that comprises music assorting characteristic, connotation of music characteristic, music character features, music exhibition sale characteristic and music.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| TW100145880 | 2011-12-13 | ||
| TW100145880A TWI533148B (en) | 2011-12-13 | 2011-12-13 | System and method for music navigation and recommendation |
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| CN102664031A true CN102664031A (en) | 2012-09-12 |
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| CN2012100828376A Pending CN102664031A (en) | 2011-12-13 | 2012-03-26 | Music recommendation system and method with navigation characteristic |
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| TW (1) | TWI533148B (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN103065623A (en) * | 2012-12-17 | 2013-04-24 | 深圳Tcl新技术有限公司 | Timbre matching method and timbre matching device |
| CN105677690A (en) * | 2014-12-09 | 2016-06-15 | 现代自动车株式会社 | Method and device for generating music playlist |
| CN107038171A (en) * | 2016-02-03 | 2017-08-11 | 广州酷狗计算机科技有限公司 | The single method and apparatus of generation song |
| CN108172241A (en) * | 2017-12-27 | 2018-06-15 | 上海传英信息技术有限公司 | A kind of music based on intelligent terminal recommends method and music commending system |
| CN110019740A (en) * | 2018-05-23 | 2019-07-16 | 京东方科技集团股份有限公司 | Exchange method, car-mounted terminal, server and the storage medium of car-mounted terminal |
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| US20070282860A1 (en) * | 2006-05-12 | 2007-12-06 | Marios Athineos | Method and system for music information retrieval |
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN103065623A (en) * | 2012-12-17 | 2013-04-24 | 深圳Tcl新技术有限公司 | Timbre matching method and timbre matching device |
| CN103065623B (en) * | 2012-12-17 | 2016-01-20 | 深圳Tcl新技术有限公司 | Tone color matching process and device |
| CN105677690A (en) * | 2014-12-09 | 2016-06-15 | 现代自动车株式会社 | Method and device for generating music playlist |
| CN107038171A (en) * | 2016-02-03 | 2017-08-11 | 广州酷狗计算机科技有限公司 | The single method and apparatus of generation song |
| CN108172241A (en) * | 2017-12-27 | 2018-06-15 | 上海传英信息技术有限公司 | A kind of music based on intelligent terminal recommends method and music commending system |
| CN108172241B (en) * | 2017-12-27 | 2020-11-17 | 上海传英信息技术有限公司 | Music recommendation method and music recommendation system based on intelligent terminal |
| CN110019740A (en) * | 2018-05-23 | 2019-07-16 | 京东方科技集团股份有限公司 | Exchange method, car-mounted terminal, server and the storage medium of car-mounted terminal |
| CN110019740B (en) * | 2018-05-23 | 2021-10-01 | 京东方科技集团股份有限公司 | Interaction method of vehicle-mounted terminal, server and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| TW201324206A (en) | 2013-06-16 |
| TWI533148B (en) | 2016-05-11 |
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Application publication date: 20120912 |