Methods and systems for personalizing user experience based on nostalgia metrics

Patent metadata

Field	Value
Publication number	US-11159261-B2
Application number	US-202016892116-A
Country	US
Kind code	B2
Filing date	Jun 3, 2020
Priority date	Jun 19, 2017
Publication date	Oct 26, 2021
Grant date	Oct 26, 2021

Abstract

A server system accesses a profile of a user of the media-providing service. The profile indicates a demographic group of the user. For each track of a plurality of tracks, the server system determines a year associated with the track. The server system selects content for the user based at least in part on an affinity of members of the demographic group, as compared to members of other demographic groups, of music from the year associated with the track. The server system provides the selected content to a client device associated with the user.

First claim

What is claimed is:

1. A method, comprising at a server system of a media-providing service having one or more processors and memory storing instructions for execution by the one or more processors:
accessing a profile of a user of the media-providing service, the profile of the user indicating a demographic group of the user;
for each track of a plurality of tracks, determining a year associated with the track; and
selecting content for the user, including selecting a respective track, based at least in part on an affinity of members of the demographic group, as compared to members of other demographic groups, for music from the year associated with the respective track; and
providing the respective track to a client device associated with the user.

2. The method of claim 1 , wherein selecting the content for the user comprises selecting a playlist that includes tracks from the same year as the respective track.

3. The method of claim 1 , wherein:
selecting the content for the user comprises personalizing a playlist for the user; and
providing the selected content to the client device associated with the user comprises providing the personalized playlist to the client device.

4. The method of claim 1 , further comprising:
for each track of the plurality of tracks, calculating a first metric that represents the affinity of members of the demographic group, as compared to members of other demographic groups, for music form the year associated with the track; and
averaging the first metrics for the plurality of tracks to determine a second metric, wherein selecting the content for the user is performed in accordance with a determination that the second metric satisfies a first threshold.

5. The method of claim 4 , wherein the first metric is calculated for tracks played during a first time window and the second metric is calculated for tracks played during a second time window.

6. The method of claim 5 , wherein the first time window and the second time window are rolling time windows.

7. The method of claim 4 , wherein:
selecting the content for the user in accordance with the determination that the second metric satisfies the first threshold comprises selecting a message for the user in accordance with the determination that the second metric satisfies the first threshold; and
providing the selected content to the client device associated with the user comprises providing the message to the client device.

8. The method of claim 4 , wherein the first metric comprises a release-year over-indexing metric based on an affinity of the members of the demographic group, as compared to the members of the other demographic groups, for music from the year associated with the track.

9. The method of claim 4 wherein the first metric comprises a track over-indexing metric based on an affinity of the members of the demographic group as compared to the members of the other demographic groups for a respective track.

10. The method of claim 9 , wherein the first metric comprises a weighted combination of the track over-indexing metric and a release-year over-indexing metric corresponding to an affinity of the members of the demographic group, as compared to the members of the other demographic groups, for music from the year associated with the track.

11. The method of claim 1 , wherein selecting the content for the user comprises:
ranking the plurality of tracks based on an affinity of members of the demographic group, as compared to members of other demographic groups, of music from the year associated with the track;
selecting a predefined number of tracks from the plurality of tracks, the predefined number of tracks having highest rankings;
identifying a demographic group associated with multiple tracks of the selected tracks; and
choosing content associated in the media-providing service with the identified demographic group;
wherein providing the selected content comprises providing the chosen content to the client device associated with the user.

12. The method of claim 11 , wherein:
identifying the demographic group comprises identifying a language; and
choosing the content associated in the media-providing service with the identified demographic group comprises choosing, by the server system, content in the identified language.

13. The method of claim 11 , further comprising, at the server system:
in accordance with a determination that the identified demographic group associated with the multiple tracks is different than the demographic group of the user, updating the demographic group of the user to the identified demographic group associated with the multiple tracks.

14. The method of claim 1 , wherein determining the year associated with the track comprises determining a year the track was released.

15. The method of claim 1 , wherein:
the demographic group includes members with ages within a particular age range; and
the other demographic groups include members with ages that are not within the particular age range.

16. The method of claim 1 , wherein:
the demographic group includes members of a particular country; and
the other demographic groups include members of one or more countries that are not the particular country.

17. The method of claim 1 , wherein:
the demographic group includes members of a particular gender; and
the other demographic groups include members of one or more genders that are not the particular gender.

18. The method of claim 1 , wherein plurality of tracks are in a listening history of the user, the listening history including tracks associated with a period of time preceding a current time.

19. A server system associated with a media-providing service, comprising:
one or more processors; and
memory storing one or more programs for execution by the one or more processors, the one or more programs including instructions for:
accessing a profile of a user of the media-providing service, the profile of the user indicating a demographic group of the user;
for each track of a plurality of tracks, determining a year associated with the track; and
selecting, by the server system, content for the user, based at least in part on an affinity of members of the demographic group, as compared to members of other demographic groups, of music from the year associated with the track; and
providing the selected content to a client device associated with the user.

20. A non-transitory computer-readable storage medium, storing one or more programs for execution by one or more processors of a server system associated with a media-providing service, the one or more programs including instructions for:
accessing a profile of a user of the media-providing service, the profile of the user indicating a demographic group of the user;
for each track of a plurality of tracks, determining a year associated with the track; and
selecting, by the server system, content for the user, based at least in part on an affinity of members of the demographic group, as compared to members of other demographic groups, of music from the year associated with the track; and
providing the selected content to a client device associated with the user.

Assignees

• Spotify Ab

Inventors

• Gibson Clay
• Gil Santiago
• Anderson Ian
• Semerci Oguz
• Wolf Scott
• Mpossi Margreth

Classifications

• H04H60/66

  for using the result on distributors' side · CPC title

• H04H60/33

  Arrangements for monitoring the users' behaviour or opinions · CPC title

• H04H2201/30

  characterised by the use of a return channel, e.g. for collecting users' opinions, for returning broadcast space/time information or for requesting data · CPC title

• G06F16/635

  Filtering based on additional data, e.g. user or group profiles · CPC title

• H04H60/46

  for recognising users' preferences · CPC title