Google Inc.

Luca Chiarandini

Johan Georg Granstrom

Fabio Magagna

Jakub Imriska

Varun Sharma

Krystof Hoder

Methods, systems, and media for identifying abusive user accounts based on playlists are provided. In accordance with some embodiments of the disclosed subject matter, a method for identifying abusive content is provided, the method comprising: determining at least one feature associated with a playlist created by a user-generated channel; calculating a playlist score associated with the playlist based on a playlist classifier, wherein the playlist classifier comprises a function that maps the at least one feature to the playlist score; calculating a channel score associated with the user-generated channel based at least on the calculated playlist score; determining that one or more content items associated with the user-generated channel is to be demoted based on the calculated channel score, wherein the one or more content items comprises the playlist; and causing the one or more content items to be demoted.

Methods, systems, and media for identifying abusive user accounts based on playlists

Methods and systems of determining competition for search queries on a video hosting system on a computer network are provided. Search records associated with search queries directed to the video hosting system are received. Each search record identifies videos available on the video hosting system that are search results for a corresponding search query and indicates associated view durations that the videos were viewed responsive to the search query. Search queries directed to a first and second videos and associated view durations that the first video was watched in response to the queries are identified from the received search records. A competition score indicating an amount of competition between the first and second videos for views of users of the video hosting system is calculated based on the identified search queries and associated view durations.

Video competition discovery and recommendation

A system and method are disclosed for media item matching using search query analysis. In an implementation, the method includes identifying, by a processing device, a first media item that has been removed from a media hosting platform due to a removal request associated with a reference media item of a first media owner; identifying, by the processing device, a search query corresponding to the first media item based on a history of search queries, wherein a search result of the search query included the first media item; obtaining, by the processing device, one or more additional media items included in the search result of the search query; and providing the one or more additional media items to the first media owner to determine whether to initiate one or more actions regarding the one or more additional media items.

Media item matching using search query analysis

Methods, systems, and media for demoting search results based on search query risk are provided. In some embodiments, a method for demoting search results includes: receiving a search query for a video content item; generating a plurality of search results in response to the search query; calculating a set of result goodness values; calculating a query goodness value associated with the search query based on the set of result goodness values; identifying a threshold goodness value based on the query goodness value; in response to determining that a first result goodness value of the set of result goodness values is less than the threshold goodness value, demoting a first search result of the plurality of search results, wherein the first result goodness value is associated with the first search result; and causing at least a portion of the plurality of search results to be presented based on the demotion.

Methods, systems, and media for modifying search results based on search query risk

A method, system, and computer program instructions detect and score video channels based on content reuse. Matches between two videos occur when one video reuses a segment of video or audio content from another video. A video graph stores information about videos, channels the videos belong to, and their matches with other videos. Channels are given similarity scores based on their similarity to a video, channel, or group of channels. Similarity scores are calculated using information about video matches from the video graph.

Detecting channel similarity based on content reuse

Methods and systems of providing metadata association with videos on a video hosting system on a computer network are provided. Search records associated with search queries directed to the video hosting system are received. Each search record identifies videos that are search results for a search query and indicates view durations that the videos were viewed responsive to the search query. First and second videos competing for views of users are identified from the received search records. The first and second videos each have metadata respectively describing the first and second videos. Search queries directed to the first video are identified from the search records. Search terms associated with the search queries are further identified and compared to the metadata of the second video. Search terms that are not included in the metadata of the second video are identified as metadata improvements to the second video.

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Zurich, Switzerland

Luca Chiarandini