Google Inc.

Patrick Hung

Palash Nandy

Jamie Davidson

Benjamin Liebald

Christina Ilvento

Dasarathi Sampath

Ye Niu

Kun Zhang

Varun Kacholia

Nitin Khandelwal

Philo Juang

Aparna Chennapragada

Omer Bar-or

Nicola Muscettola

Tim Dasilva

Anton Koinov

Joshua R Siegel

Mohan V Nibhanupudi

Shenaz Zack

Weijian Cheng

Dean Yasuda

Brian Truong

Minya Dai

Stanley Wang

Zhiyi Xie

Jonathan Eng

Carter De Leo

Anthony Yuliang Wu

Jim Fredrik Lundh

John A Zeratsky

Reuben Mark Antman

Namhee Koo

Timothy Hiroshi Mansfield

A personal content stream comprising a plurality of videos is generated for a user. The user selects topics used in the generation of a personal content stream. The plurality of user selected topics is expanded to include topics related to one or more of the user selected topics. Each of the topics in the expanded plurality of topics includes a topic weight. Videos are selected that are related to one or more of the expanded plurality of topics to generate a plurality of stream videos. Additional videos are selected and added to the plurality of stream videos as the user watches videos. The topic weights are adjusted during video playback based on feedback from the user.

Personal content streams based on user-topic profiles

Updating personal content streams based on feedback

This disclosure relates to screening potentially inappropriate online content. A flag is received that indicates online content is potentially inappropriate. The flag is generated by a source, such as a user, or a content classifier. The potential accuracy of the flag is determined or inferred based on a variety of factors, including a reputation of the source, and the flag is categorized as requiring higher priority administrative action or requiring lower priority administrative action based in part on the potential accuracy of the flag. In addition, administrative action is taken based in part on the categorization of the flag.

Systems and methods for screening potentially inappropriate content

This disclosure relates to scheduled online publishing of internet media. Media content, such as a video, can be received for upload to an online server. A future publish time for the media content is determined based on user input, or satisfaction of a set of predetermined criteria. The media content is maintained as unpublished until the future publish time. Exposure of the media content is restricted to authorized users while the media content is unpublished. At the future publish time, the media content is published, and provided to a set of content consumers via the online server.

Systems and methods for scheduled online publishing of internet media

The present disclosure relates to the identification of video content. In one aspect, a method includes generating a query based on bibliographic data. The method also includes obtaining a collection of resources responsive to the query, wherein one or more of the resources include text and video content. The method further includes calculating occurrence scores for the resources. A particular occurrence score for a particular resource is based at least in part on the bibliographic data matching text included in the particular resource and the text being associated with video content. The method further includes selecting one or more resources as including video content identified by the bibliographic data using the occurrence scores. The method further includes storing data associating the selected resources with the bibliographic data.

Matching video content to video bibliographic data

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San Bruno, CA, United States of America

Patrick Hung