Playlist analytics

• US 10,380,180 B1
• Filed: 06/17/2014
• Issued: 08/13/2019
• Est. Priority Date: 03/29/2012
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google LLC (Alphabet Inc.)
• Inventors: Heng, Keekim, Landers, Martin, Brodersen, Anders Torp, Hamilton, Theodore Kent, Shimshowitz, Dror
• Primary Examiner(s): Oberly, Van H
• Application Number:
  US14/307,281
• Time in Patent Office: 1,883 Days
• CPC Class Codes: G06F 16/735 Filtering based on additional data, e.g. user or group profiles
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: H04L 67/10 in which an application is distributed across nodes in the network software deployment G06F8/60; multiprogramming arrangements G06F9/46
• CPC Class Codes: H04L 69/329 in the application layer [OSI layer 7]

Abstract

Systems and methods can facilitate gathering information generated by network traffic to playlists. Based on analytics and metrics derived from the gathered information and reported, feedback about playlist access patterns can be supplied to interested parties, such as playlist creators/curators. The feedback can enable playlist curators to better tailor playlist content and sequence, potentially reducing a perceived need to skip around inside a playlist and making for a more enjoyable experience for playlist users.

Claims

1. A method comprising:

identifying a video playlist assembled by a playlist curator in a default sequence of videos for default playback by one or more users, wherein a first video is to be played first in the default playback;

aggregating, by at least one processor, records corresponding to engagement with one or more video playlists by the one or more users, wherein the one or more video playlists comprise the video playlist;

storing the records, wherein the stored records comprise information identifying playback sequences comprising sequences of selections of videos from the video playlist for playback corresponding to the engagement;

receiving, from the playlist curator, a request comprising search criteria corresponding to the video playlist;

responsive to receiving the request, obtaining a subset of the stored records based on the search criteria;

performing an analysis of the sequences of selections in the subset of the stored records to identify an entry rate corresponding to a number of times that a play sequence began on a second video, wherein the entry rate identifies a departure in the playback sequences from the default sequence of videos for the default playback, the identified departure in the playback sequences representing a negative feedback indication regarding the video playlist; and

generating a recommendation for the playlist curator to modify the default sequence of videos of the video playlist based on the identified departure within the playback sequences from the default playback, wherein one or more videos are to be re-ordered in the default sequence of vidoes of the video playlist based on the recommendation to begin the default sequence with the second video.

2. The method of claim 1, wherein the search criteria comprise at least one of a playlist identifier, a video identifier, or a temporal range.

3. The method of claim 1, wherein the one or more users comprise multiple users.

4. The method of claim 1, further comprising:

generating visual information comprising at least a portion of a formatted version of the analyzed sequences of selections in the subset of the stored records and the recommendation.

5. The method of claim 4, wherein the visual information is generated in tangible form or electronic form.

6. The method of claim 4, wherein the visual information is indicative of a corresponding number of times per access of the video playlist that a particular video of the video playlist was skipped.

7. The method of claim 4, wherein the visual information comprises a histogram describing numbers of videos accessed from the video playlist per access of the video playlist.

8. A non-transitory computer-readable storage medium storing instructions that, when executed by at least one processor, cause the at least one processor to:

identify a video playlist assembled by a playlist curator in a default sequence of videos for default playback by one or more users, wherein a first video is to be played first in the default playback;

aggregate, by the at least one processor, records corresponding to engagement with one or more video playlists by the one or more users, wherein the one or more video playlists comprise the video playlist;

store the records, wherein the stored records comprise information identifying playback sequences comprising sequences of selections of videos from the video playlist for playback corresponding to the engagement;

receiving, from the playlist curator, a request comprising search criteria corresponding to the video playlist;

responsive to receiving the request, obtaining a subset of the stored records based on the search criteria;

perform an analysis of the sequences of selection in the subset of the stored records to identify an entry rate corresponding to a number of times that a play sequence began on a second video, wherein the entry rate identifies a departure in the playback sequences from the default sequence of videos for the default playback, the identified departure in the playback sequences representing a negative feedback indication regarding the video playlist; and

generate a recommendation for the playlist curator to modify the default sequence of videos of the video playlist based on the identified departure within the playback sequences from the default playback, wherein one or more videos are to be re-ordered in the default sequence of videos of the video playlist based on the recommendation to begin the default sequence with the second video.

9. The non-transitory computer-readable storage medium of claim 8, wherein the search criteria comprise at least one of a playlist identifier, a video identifier, or a temporal range.

10. The non-transitory computer-readable storage medium of claim 8, wherein the one or more users comprise multiple users.

11. The non-transitory computer-readable storage medium of claim 8, wherein the instructions are further to cause the at least one processor to:

generate visual information comprising at least a portion of a formatted version of the analyzed sequences of selections in the subset of the stored records and the recommendation.

12. The non-transitory computer-readable storage medium of claim 11, wherein the visual information is generated in tangible form.

13. The non-transitory computer-readable storage medium of claim 11, wherein the visual information is generated in electronic form.

14. The non-transitory computer-readable storage medium of claim 11, wherein the visual information is indicative of a corresponding number of times per access of the video playlist that a particular video of the video playlist was skipped.

15. The non-transitory computer-readable storage medium of claim 11, wherein the visual information comprises a histogram describing numbers of videos accessed from the video playlist per access of the video playlist.

16. A system comprising:

at least one memory storing instructions; and

at least one processor to execute the instructions to;

identify a video playlist assembled by a playlist curator in a default sequence of videos for default playback by one or more users, wherein a first video is to be played first in the default playback;

aggregate records corresponding to engagement with one or more video playlists by the one or more users, wherein the one or more video playlists comprise the video playlist;

store the records, wherein the stored records comprise information identifying playback sequences comprising sequences of selections of videos from the video playlist for playback corresponding to the engagement;

receive, from the playlist curator, a request comprising search criteria corresponding to the video playlist;

responsive to receiving the request, obtain a subset of the stored records based on the search criteria;

perform an analysis of the sequences of selections in the subset of the stored records to identify an entry rate corresponding to a number of times that a play sequence began on a second video, wherein the entry rate identifies a departure in the playback sequences from the default sequence of videos for the default playback, the identified departure in the playback sequences representing a negative feedback indication regarding the video playlist; and

generate a recommendation for the playlist curator to modify the default sequence of videos of the video playlist based on the identified departure within the playback sequences from the default playback, wherein one or more videos are to be re-ordered in the default sequence of videos of the video playlist based on the recommendation to begin the default sequence with the second video.

17. The system of claim 16, wherein the one or more users comprise multiple users.

18. The system of claim 16, wherein the search criteria comprise at least one of a playlist identifier, a video identifier, or a temporal range.