Google Inc.

Martin Landers

Theodore Kent Hamilton

Keekim Heng

Dror Shimshowitz

Anders Torp Brodersen

Andy Chu-I Yu

Wolfgang Haas

Stefan Hilzinger

Alexander Taboriskiy

A method includes logging first user interactions associated with a playlist of content items and generating first metrics based on the logged first user interactions with the playlist. The first metrics include a first metric indicating a first duration of playback of a first content item of the playlist during playback of the playlist. The first duration of playback of the first content item during the playback of the playlist is greater than a first default duration of playback. The method further includes reporting at least the first metric to a creator or curator of the playlist, logging second user interactions associated with the playlist, and generating second metrics based on the logged second user interactions with the playlist. The logged first user interactions correspond to more deviations from a default playback sequence of the playlist than the logged second user interactions.

Playlist analytics

A method includes generating metrics based on a first plurality of interactions with first content of a playlist. A first metric indicates approval of a first content item of the playlist and a second metric indicates a first duration of playback of a second content item of the playlist during playback of the playlist. The first duration of playback of the second content item is greater than a first default duration of playback. The method further includes reporting at least the first metric and the second metric and receiving a modified playlist. The modified playlist may be the playlist modified based on at least the first metric. The method further includes identifying, in captured data associated with access to the modified playlist, a second plurality of interactions with second content of the modified playlist. The second plurality of interactions corresponds to fewer deviations than the first plurality of interactions.

Systems and methods are disclosed for providing playlist analytics. A method includes logging first user interactions associated with a playlist of content items and generating metrics based on the logged first user interactions with the playlist. The playlist is associated with a default playback sequence of the content items. A first metric indicates a last content item played by a user from the playlist is different from a last content item in the default playback sequence associated with of the playlist. The method further includes reporting at least the first metric. The playlist is to be modified based on one or more of the plurality of metrics.

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.

Systems and methods are disclosed for providing playlist analytics. A method may include capturing data associated with access to a playlist of content. The method may further include identifying, in the captured data, one or more interactions with the playlist of content. The method may further include generating, by a processing device, at least one metric based on the identified one or more user interactions. The method may further include reporting the at least one playlist metric.

A method for computing usage metrics for a content sharing platform is disclosed. The method includes receiving usage logs of a content sharing platform, the usage logs pertaining to a plurality of events associated with content items of the content sharing platform. The method further includes, for each usage log, identifying an event associated with the usage log, parsing the usage log to identify a set of characteristics for the identified event, obtaining additional information about the identified event based on the set of characteristics, and storing the set of characteristics and the additional information as an event entry for the event. The method also includes storing metadata corresponding to the event separately from the event entry, the metadata to be provided with the event entry to a user upon a user request for information about the event.

Computing usage metrics for a content sharing platform

Systems and methods for reducing latency times associated with sessionizing log events from streaming logs are disclosed herein. In an aspect, event data related to user consumption of media content items can be monitored. Further, respective event data based at least in part on user playback of the media content items can be analyzed. In another aspect, pending and finalized event data can be summarized into a finalized playback record. In yet another aspect, the size of a time window can be adjusted based in part on observed logsaver latency. Further, in an aspect, watch time data can be integrated into a de-spamming pipeline.

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Zurich, Switzerland

Martin Landers