Google Inc.

Jeremy Faller

Michael Salomon Morton

Abraham Murray

David Eric Saff

Richard D Borovoy

Geoffrey Allen Borggaard

Joseph M Ashear

Evan Mallory Gilbert

Julie Heather Farago

Mark Fickett

David Eric Staff

Lucy Elsbeth Hadden

Data reports are received from a plurality of clients including action reports and timing reports. Action reports describe actions performed by users of the clients at location within an eBook. Timing reports describe reading speeds of users of the clients. The data reports are analyzed to identify an action that is performed by the users of the clients at a location within the eBook frequently relative to other actions. Action information is generated for automatically performing the identified action at the location within the eBook. The action information is transmitted to a client. The client is configured to automatically perform the action at the location within the eBook. The reading location of a user of the client is determined based on the timing reports.

Analyzing reading metrics to generate action information

The structure of a digital content item is used to socially connect users consuming the digital content item. The structured representation of the digital content item is determined. This structured representation is analyzed to identify key events within the digital content item. A user's current location within the digital content item is identified. Social communications of the user are filtered responsive to the user's current location and the identified key events within the digital content item. In this way, the user may peruse social media without inadvertently reading communications that give away (e.g., spoil) key events such as important plot points.

Using content structure to socially connect users

In one aspect, a system for providing a user interface including recommended content in response to an endorsement input is described. The system includes a processor and a memory storing instructions that, when executed, causes the system to: receive an input from a first user; determine that the input is related to an endorsement of a first content item from a first source; determine a social correlation between the first content item and a second content item from a second source, determine a source correlation between the first source and the second source, determine recommended content using the social correlation and the source correlation and provide the recommended content to the first user.

Extending host device functionality using a mobile device

This document describes technologies for interpreting physical contact with a non-touchscreen portion of a computing device's housing (e.g., the computing device's case) as input. For example, a user tapping his/her index finger against the back of a computing device, such as a smartphone or a tablet computing device, can be interpreted as input and can cause an operation to be performed by the computing device, such as turning the page of an electronic book that is being displayed by the computing device.

Receiving input at a computing device

A position determination module determines positions that components of content&#x2014;such as individual words of textual content&#x2014;will have when rendered by a layout engine. Specifically, the position determination module modifies visual attribute values of the content components such that the components when rendered will have different appearances, but the same positions, as they would if rendered without the modified visual attribute values. The position determination module then causes the layout engine to render the content with the modified visual attribute values and identifies the various values of the visual attributes within the rendered content and notes the positions at which they occur. Based on its knowledge of which visual attribute values are associated with which content components, the position determination module in turn associates the positions with the corresponding content components. Thus, positions of content components within rendered images of the content can be determined.

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Arlington, MA, United States of America

Jeremy Faller