Musical Taste Profile

Patent metadata

Field	Value
Publication number	US-2018307751-A1
Application number	US-201715630111-A
Country	US
Kind code	A1
Filing date	Jun 22, 2017
Priority date	Apr 21, 2017
Publication date	Oct 25, 2018
Grant date	—

Abstract

Described herein is a system for recommending music using a music taste profile. The music taste profile includes information about musical taste of a particular user that can be used to provide music recommendation(s) targeted to that particular user. The system includes a recommendation component that makes a music recommendation(s) based on the music taste profile. The recommendation component can utilize an algorithm to make the music recommendation. With consent of the user, a music taste profile modification component can modify the music taste profile based on an inference from information regarding a music-related interest of the user received from a source (e.g., information obtained about a web browsing search history of the user, signal(s) provided by a digital assistant regarding information requested by the user and/or from a home automation device).

First claim

What is claimed is:

1 . A system for recommending music using a music taste profile:
a computer comprising a processor and a memory, the memory comprising: a recommendation component configured to make a music recommendation to a user based on a music taste profile associated with the user, the recommendation component utilizing an algorithm to identify the music recommendation for the user; and a music taste profile modification component configured to modify the music taste profile based on an inference from information regarding a music-related interest of the user received from a source.

2 . The system of claim 1 , wherein the recommendation component is further configured to make the music recommendation based upon a stored music taste profile of at least one other user.

3 . The system of claim 1 , wherein the recommendation component is further configured to make the music recommendation based upon a stored music taste profile of at least one other user, wherein the other user is a member of a particular social network in which the user is also a member.

4 . The system of claim 1 , wherein the user can utilize a graphical user interface element associated with a particular recommendation of the music recommendation to initiate playing of a song associated with the particular recommendation.

5 . The system of claim 1 , wherein the music taste profile modification component is further configured to modify the music taste profile based user feedback.

6 . The system of claim 5 , wherein the user feedback is obtained via a graphical user interface presenting information about the music taste profile of the user.

7 . The system of claim 6 , wherein the user can at least one of remove or add at least one of a genre, an artist or a song of the music taste profile using the graphical user interface.

8 . The system of claim 1 , wherein the recommendation component is further configured to provide the music taste profile of the user to a remote recommendation service, the remote recommendation service configured to provide music recommendations to the recommendation component based upon the music taste profile of the user and music taste profiles of a plurality of other users.

9 . The system of claim 1 , wherein the music taste profile is inferred based upon music the user listened to using a particular application.

10 . The system of claim 1 , wherein the source comprises at least one of a browser, a broadcast radio transmission or a device playing music in proximity of the user.

11 . The system of claim 1 , further comprising a sensor configured to provide a stream associated with the source to the music taste profile modification, wherein the music taste profile modification is further configured to identify music information associated with the stream and to modify the music taste profile based upon the identified music information associated with the stream.

12 . The system of claim 1 , wherein the source comprises a digital assistant configured to execute on the computer, wherein the music taste profile modification component receives from the digital assistant information regarding at least one of music a user likes on social media, music a user is listening to, a music concert the user is attending, a music search the user has asked about, a movie the user likes, where the user lives or a user demographic.

13 . The system of claim 1 , wherein the source comprises a home automation device, and, the music taste profile recommendation component receives from the home automation device information regarding an image displayed in proximity to the home automation device.

14 . The system of claim 1 , wherein the source comprises a browsing history of the user.

15 . A method of modifying a stored music taste profile, comprising:
receiving information regarding a music-related interest of a user from a source; and modifying the music taste profile based on the received information.

16 . The method of claim 15 , further comprising:
recommending a song to the user based upon the modified music taste profile.

17 . A computer storage media storing computer-readable instructions that when executed cause a computing device to:
receive information regarding a music-related interest of a user from a source; and modify a music taste profile based on the received information.

18 . The computer storage media of claim 17 , wherein the source comprises at least one of a browser, a broadcast radio transmission or a device playing music in proximity of the user.

19 . The computer storage media of claim 17 , storing further computer-readable instructions that when executed cause the computing device to:
receive a stream associated with the source; identify music information associated with the stream; and modify the music taste profile based upon the identified music information associated with the stream.

20 . The computer storage media of claim 17 , wherein the source comprises a digital assistant configured to execute on the computing device.

Assignees

• Microsoft Technology Licensing Llc

Inventors

• Lim Melissa Nicole
• Hsia Eric Long
• Bauer Erika Catherine
• Mang Matthew
• Nogues Paul
• Leroy Pierre Serge Vincent
• Wendlinger Mathias
• Monson Aaron James
• Moll Colin Randall
• Guglieri Lillo Claudio Fernando

Classifications

• G06F16/686

  using information manually generated, e.g. tags, keywords, comments, title or artist information, time, location or usage information, user ratings · CPC title

• G06F16/637 Primary

  Administration of user profiles, e.g. generation, initialization, adaptation or distribution · CPC title

• G06Q30/0631 Primary

  Recommending goods or services · CPC title

• G06F17/30035

  Physics · mapped topic

• G10H2240/131

  Library retrieval, i.e. searching a database or selecting a specific musical piece, segment, pattern, rule or parameter set · CPC title