Online video analytics

Results: 20



#Item
11The Incremental Reach and Cost Efficiency of Online Video Ads over TV Ads Yuxue Jin, Sheethal Shobowale, Jim Koehler, Harry Case Google Inc.  Abstract

The Incremental Reach and Cost Efficiency of Online Video Ads over TV Ads Yuxue Jin, Sheethal Shobowale, Jim Koehler, Harry Case Google Inc. Abstract

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Source URL: static.googleusercontent.com

Language: English - Date: 2012-09-27 19:02:44
122014 Media Kit Effective January 1, [removed]Media Kit life beyond wheels

2014 Media Kit Effective January 1, [removed]Media Kit life beyond wheels

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Source URL: www.newmobility.com

Language: English - Date: 2014-01-23 11:17:48
13Cultural Analytics at Work: The 2008 U.S. Presidential Online Video Ads Tara Zepel University of California, San Diego Published in Geert Lovink and Rachel Somers Miles (eds.),

Cultural Analytics at Work: The 2008 U.S. Presidential Online Video Ads Tara Zepel University of California, San Diego Published in Geert Lovink and Rachel Somers Miles (eds.),

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Source URL: softwarestudies.com

Language: English - Date: 2011-07-14 22:07:38
14CASE STUDY  Financial Services Evaluating the Effect of Video Advertising Through DataMine Analytics

CASE STUDY Financial Services Evaluating the Effect of Video Advertising Through DataMine Analytics

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Source URL: www.turn.com

Language: English - Date: 2014-07-10 22:13:48
15Flurry Launches Next-Generation Mobile Video Ads to Grow Revenue for Publishers  San Francisco, Calif. – May 12, 2014 – Flurry, the leading mobile analytics and advertising platform, today announced that it has launc

Flurry Launches Next-Generation Mobile Video Ads to Grow Revenue for Publishers San Francisco, Calif. – May 12, 2014 – Flurry, the leading mobile analytics and advertising platform, today announced that it has launc

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Source URL: www.flurry.com

Language: English - Date: 2014-05-12 23:56:26
16Understanding In-Video Dropouts and Interaction Peaks in Online Lecture Videos Juho Kim1 Philip J. Guo1,2 Daniel T. Seaton3 Piotr Mitros4 Krzysztof Z. Gajos5 Robert C. Miller1 1  MIT CSAIL

Understanding In-Video Dropouts and Interaction Peaks in Online Lecture Videos Juho Kim1 Philip J. Guo1,2 Daniel T. Seaton3 Piotr Mitros4 Krzysztof Z. Gajos5 Robert C. Miller1 1 MIT CSAIL

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Source URL: www.pgbovine.net

Language: English - Date: 2014-01-28 14:32:40
17Q1[removed]VIDEO INDEX TV is no longer a single screen

Q1[removed]VIDEO INDEX TV is no longer a single screen

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Source URL: go.ooyala.com

Language: English - Date: 2014-08-04 14:15:46
18Understanding In-Video Dropouts and Interaction Peaks in Online Lecture Videos Juho Kim1 Philip J. Guo2 Daniel T. Seaton3 Piotr Mitros4 Krzysztof Z. Gajos5 Robert C. Miller1 1  MIT CSAIL

Understanding In-Video Dropouts and Interaction Peaks in Online Lecture Videos Juho Kim1 Philip J. Guo2 Daniel T. Seaton3 Piotr Mitros4 Krzysztof Z. Gajos5 Robert C. Miller1 1 MIT CSAIL

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Source URL: www.eecs.harvard.edu

Language: English - Date: 2014-01-24 14:39:38
19Understanding In-Video Dropouts and Interaction Peaks in Online Lecture Videos Juho Kim1 Philip J. Guo1,2 Daniel T. Seaton3 Piotr Mitros4 Krzysztof Z. Gajos5 Robert C. Miller1 1  MIT CSAIL

Understanding In-Video Dropouts and Interaction Peaks in Online Lecture Videos Juho Kim1 Philip J. Guo1,2 Daniel T. Seaton3 Piotr Mitros4 Krzysztof Z. Gajos5 Robert C. Miller1 1 MIT CSAIL

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Source URL: groups.csail.mit.edu

Language: English - Date: 2014-01-21 20:50:30
20SESUG[removed]Paper PO-13 Analytical Approach for Bot Cheating Detection in a Massive Multiplayer Online Racing Game

SESUG[removed]Paper PO-13 Analytical Approach for Bot Cheating Detection in a Massive Multiplayer Online Racing Game

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Source URL: analytics.ncsu.edu

Language: English - Date: 2013-10-08 07:12:00