US7102067B2
Expired / Lapsed
US
⏱️ 0.0 years remaining
Using a system for prediction of musical preferences for the distribution of musical content over cellular networks
Assignee: Pandora Media LLC
•
Filing: 2001-06-29
•
Granted: 2006-09-05
•
Expires: 2021-06-29
Abstract
Abstract A system and a method for predicting the musical taste and/or preferences of the user and its integration into services provided by a wireless network provider. Although the present application is directed toward implementations with wireless providers, the present invention can also be implemented on a regular, i.e., wireline network. The core of the present invention is a system capable of predicting whether a given user, i.e., customer, likes or does not like a specific song from a pre-analyzed catalog. Once such a prediction has been performed, those items that are predicted to be liked best by the user may be forwarded to the mobile device of the user on the cellular (or other wireless) network. The system maintains a database containing propriety information about the songs in the catalog and, most important, a description (profile) of the musical taste of each of its customers, identified by their cellular telephone number.
Inventors
- 👤 Dan Gang
- 👤 Daniel Lehmann
Bibliographic Details
Application Number
—
Jurisdiction
US
Data Source
google_patents
Last Synchronized
2026-10-25 20:05
CPC Classifications
G; G06; G06Q; G06Q30/00; G06Q30/02; G06F; G06F16/00; G06F16/40; G06F16/60; G06F16/63; G06F16/635; G06F16/637; G06F16/68; G06F16/683; G06F16/686; G10; G10H; G10H1/00; G10H1/0008; G10H1/0033; G10H1/0041; G10H1/0058; G10H2240/00; G10H2240/011; G10H2240/046; G10H2240/061; G10H2240/075; G10H2240/081; G10H2240/171; G10H2240/281; G10H2240/295; G10H2240/305; G10H2250/00; G10H2250/131; G10H2250/151; G10H2250/311
Claims Analysis
Total Claims: 15
Claim 1
Independent Claim
124 words
A method for predicting a preference of a user for a musical selection, the method comprising: analyzing a catalog of musical items according to a plurality of internal musical characteristics; playing at least one musical selection comprising a plurality of items, having analyzed internal characteristics, to a user and receiving from said user a respective rating of each item of said at least one musical selection; matching said rating with the corresponding analyzed internal characteristics to predict the preference of the user for further musical items from the catalog; and using said prediction, recommending at least one predicted musical item to the user; wherein at least one of said playing, and said recommending is performed through a mobile device connected to a wireless network.
Claim 2
Independent Claim
124 words
A method for predicting a preference of a user for a musical selection, the method comprising: analyzing a catalog of musical items according to a plurality of internal musical characteristics; playing at least one musical selection comprising a plurality of items, having analyzed internal characteristics, to a user and receiving from said user a respective rating of each item of said at least one musical selection; matching said rating with the corresponding analyzed internal characteristics to predict the preference of the user for further musical items from the catalog; and using said prediction, recommending at least one predicted musical item to the user; wherein at least one of said playing, and said recommending is performed through a mobile device connected to a wireless network.
Claim 3
Dependent Claim
23 words
The method of claim 1 , wherein a plurality of matching processes are used to match said rating with said plurality of characteristics.
Claim 4
Dependent Claim
48 words
The method of claim 1 , wherein a matching process is a neural network, such that said plurality of characteristics of said musical items forms a binary vector and said neural network learns to match said binary vector to characteristics of each rated musical item by the user.
Claim 5
Dependent Claim
42 words
The method of claim 1 , wherein a matching process is a map method for creating a matrix of pseudo-distances between each pair of musical items, for comparing each rated musical selection to at least one other musical selection in said catalog.
Claim 6
Dependent Claim
25 words
The method of claim 4 , wherein said map method is a selection map method, for comparing all characteristics of each pair of musical items.
Claim 7
Dependent Claim
28 words
The method of claim 4 , wherein said map method is a feature map method, for comparing a selected group of features of each pair of musical items.
Claim 8
Dependent Claim
28 words
The method of claim 4 , wherein said map method is a fingerprint map method, for comparing a selected group of features of each pair of musical items.
Claim 9
Dependent Claim
40 words
The method of claim 1 , wherein a matching process is a rating method for rating each musical item of said catalog and directly comparing each rating of the user to said rating for said musical item of said catalog.
Claim 10
Dependent Claim
21 words
The method of claim 1 , wherein information about each musical item in said catalog is stored in a feature base.
Claim 11
Dependent Claim
15 words
The method of claim 1 , wherein each musical item is also characterized by genre.
Claim 12
Dependent Claim
19 words
The method of claim 1 , wherein said musical item is analyzed along musical features by a trained musician.
Claim 13
Dependent Claim
17 words
The method of claim 1 , wherein said musical item is rated by a plurality of users.
Claim 14
Dependent Claim
21 words
The method of claim 1 , wherein said musical item is automatically analyzed according to a fingerprint of the audio signal.
Claim 15
Dependent Claim
15 words
The method of claim 1 , further comprising: purchasing a musical item by the user.
References Cited (Backward Citations)
US4996642A
Cited
US6041311A
Cited
US6092049A
Cited
US20030021441A1
Cited
US5790426A
Cited
US5884282A
Cited
US6064980A
Cited
US6317722B1
Cited
US6412012B1
Cited
US6438579B1
Cited
US6636836B1
Cited
US6801909B2
Cited
USPTO Annuity & Maintenance Windows
| Annuity Stage | Window Opens | Payment Deadline | Surcharge Period Until | Estimated Fee | Status |
|---|---|---|---|---|---|
| 3.5 Years (Year 4) | 2009-09-04 | 2010-03-06 | 2010-09-05 | $2000.00 | Window Closed / Lapsed |
| 7.5 Years (Year 8) | 2013-09-04 | 2014-03-06 | 2014-09-05 | $3760.00 | Window Closed / Lapsed |
| 11.5 Years (Year 12) | 2017-09-04 | 2018-03-06 | 2018-09-05 | $7700.00 | Window Closed / Lapsed |