Methods and Systems for Personalizing User Experience Based on Nostalgia Metrics

Patent metadata

Field	Value
Publication number	US-2020007253-A1
Application number	US-201916570896-A
Country	US
Kind code	A1
Filing date	Sep 13, 2019
Priority date	Jun 19, 2017
Publication date	Jan 2, 2020
Grant date	—

Abstract

A server system accesses a listening history of a user of the media-providing service, where the user is in a demographic group. For each track of a plurality of tracks in the listening history of the user, the server system determines a year associated with the track and calculates a first metric based at least in part of an affinity of members of a demographic group, as compared to members of other demographic groups, of music from the year associated with the track. The server system selects content for the user based on the first metric and 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:
by the server system, accessing a listening history of a user of the media-providing service, the user being in a demographic group;
for each track of a plurality of tracks in the listening history of the user:
determining a year associated with the track, and
calculating a first metric based at least in part of an affinity of members of a demographic group, as compared to members of other demographic groups, of music from the year associated with the track;

selecting, by the server system, content for the user, based on the first metric; and
by the server system, providing the selected content to a client device associated with the user.

2 . The method of claim 1 , further comprising, at the server system, averaging the first metrics for the plurality of tracks in the listening history of the user to determine a second metric, wherein selecting content for the user is performed in accordance with a determination that the second metric satisfies a first threshold.

3 . The method of claim 2 , wherein selecting the content for the user in accordance with the determination that the second metric satisfies the threshold comprises selecting, by the server system, a playlist that includes tracks selected for being associated with the determined year.

4 . The method of claim 2 , 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.

5 . The method of claim 4 , wherein the first time window and the second time window are rolling time windows.

6 . The method of claim 2 , wherein:
selecting the content for the user in accordance with the determination that the second metric satisfies the threshold comprises personalizing, by the server system, a playlist for the user; and providing the selected content to the client device associated with the user comprises providing, by the server system, the personalized playlist to the client device.

7 . The method of claim 6 , wherein:
the personalized playlist includes one or more tracks, each track having a respective first metric; and providing the personalized playlist comprises ordering, by the server system, the one or more tracks in the personalized playlist based on the respective first metric for each respective track.

8 . The method of claim 6 , wherein:
each track of the one or more tracks in the personalized playlist is selected to have a respective first metric that satisfies a second threshold.

9 . The method of claim 2 , wherein:
selecting the content for the user in accordance with the determination that the second metric satisfies the threshold comprises selecting, by the server system, a message for the user in accordance with the determination that the second metric satisfies the threshold; and providing the selected content to the client device associated with the user comprises providing, by the server system, the message to the client device.

10 . The method of claim 2 , wherein:
selecting the content for the user in accordance with the determination that the second metric satisfies the first threshold comprises:
in response to determining that the second metric satisfies the first threshold, selecting, by the server system, a track with a respective first metric that satisfies a third threshold;
wherein providing the selected content comprises providing, by the server system, the selected track to the client device.

11 . The method of claim 1 , wherein selecting the content for the user comprises, in response to determining that the second metric satisfies the threshold:
by the server system, ranking the plurality of tracks in the listening history of the user by the first metric; by the server system, selecting a predefined number of tracks from the plurality of tracks, the predefined number of tracks having highest values of the first metric as determined by the ranking; by the server system, identifying a demographic group associated with multiple tracks of the selected tracks; and by the server system, choosing content associated in the media-providing service with the identified demographic group; wherein providing the selected content comprises providing, by the server system, the chosen content to the client device associated with the user.

12 . The method of claim 11 , wherein:
identifying the demographic group comprises identifying, by the server system, 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, by the server system, the demographic group of the user to the identified demographic group associated with the multiple tracks.

14 . The method of claim 1 , 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.

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

16 . The method of claim 1 , 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.

17 . The method of claim 16 , 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.

18 . 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.

19 . 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.

20 . 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.

21 . The method of claim 1 , wherein the listening history is for a period of time preceding a current time.

22 . A server system, 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:
by the server system, accessing a listening history of a user of the media-providing service, the user being in a demographic group;
for each track of a plurality of tracks in the listening history of the user:
determining a year associated with the track, and
calculating a first metric based at least

Assignees

• Spotify Ab

Inventors

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

Classifications

• H04H60/31

  Arrangements for monitoring the use made of the broadcast services · 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

• H04H60/40

  for identifying broadcast time · CPC title

• H04H60/46

  for recognising users' preferences · CPC title