Google Inc.

Matthew S Marzilli

Bin Tian

Lane Patrick Shackleton

Jamieson Robert Kerns

Neil Campbell Rhodes

Matt Chalawsky

Mauricio Zuluaga

Alexandr Y Smolyanov

Eugen Cristian Nistor

Xiaoli Chen

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for tracking presentation of content. In one aspect, a method includes segmenting a video into two or more segments. Each segment of the video can be a variably selected disjoint subset of the video. A client-side video player determines that playback of the video has reached the end of one of the segments. A presentation type for the video is determined, where the presentation type being one of an advertisement presentation or a non-advertisement presentation. The playback data is provided to a server-side data processing apparatus that stores the playback data in a data store. The playback data indicate the presentation type for the video and that playback of the video reached the end of the one of the segments.

Video segment presentation tracking

External-signal influence on content item performance is determined. Content item performance data is received that reflects historic performance of a content item for multiple presentations of the content item. Signal data is received that corresponds to at least one signal that is temporally correlated with the content item performance data and that is external to each user, publisher and content provider involved in any of the presentations. Using the content item performance data and the signal data, an influence value for the signal with regard to the content item is determined. A content item prediction model is modified based on the influence value.

External-signal influence on content item performance

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Santa Monica, CA, United States of America

Matthew S Marzilli