File:Editing with machine learning a case study on link recommendations.webm

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Original file(WebM audio/video file, VP9/Opus, length 19 min 10 s, 1,280 × 720 pixels, 605 kbps overall, file size: 82.95 MB)

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Description
English: Editing with machine learning: a case study on link recommendations
Date
Source WMF
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This is a video of a session presented at Building 4 on Day 3 of Wikimania 2021.

Licensing

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w:en:Creative Commons
attribution share alike
This file is licensed under the Creative Commons Attribution-Share Alike 3.0 Unported license.
You are free:
  • to share – to copy, distribute and transmit the work
  • to remix – to adapt the work
Under the following conditions:
  • attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
  • share alike – If you remix, transform, or build upon the material, you must distribute your contributions under the same or compatible license as the original.

File history

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Date/TimeThumbnailDimensionsUserComment
current15:18, 28 November 202119 min 10 s, 1,280 × 720 (82.95 MB)NANöR (talk | contribs)Imported media from uploads:d2c392da-5054-11ec-96bf-0e8c44c36ea0

Transcode status

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Format Bitrate Download Status Encode time
VP9 720P 377 kbps Completed 15:39, 28 November 2021 21 min 29 s
Streaming 720p (VP9) 298 kbps Completed 08:11, 17 March 2024 5.0 s
VP9 480P 244 kbps Completed 15:35, 28 November 2021 17 min 23 s
Streaming 480p (VP9) 165 kbps Completed 06:17, 6 February 2024 4.0 s
VP9 360P 174 kbps Completed 15:31, 28 November 2021 12 min 50 s
Streaming 360p (VP9) 95 kbps Completed 12:37, 7 February 2024 3.0 s
VP9 240P 131 kbps Completed 15:27, 28 November 2021 9 min 37 s
Streaming 240p (VP9) 53 kbps Completed 15:57, 17 December 2023 2.0 s
WebM 360P 306 kbps Completed 15:26, 28 November 2021 8 min 34 s
Streaming 144p (MJPEG) 1 Mbps Completed 17:09, 9 November 2023 46 s
Stereo (Opus) 78 kbps Completed 08:54, 22 November 2023 20 s
Stereo (MP3) 128 kbps Completed 06:29, 2 November 2023 23 s

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