Google Inc.

Goolge Inc.

Elin R Pedersen

Peter Jin Hong

Radhika Malpani

Karl Anders Gyllstrom

Shengyin Gu

Shumin Zhai

Roy Want

William Noah Schilit

Bay-Wei W Chang

Yang Li

Ed Huai-Hsin Chi

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for aggregating task data for multiple users. In one aspect, a method includes accessing action trail data that corresponds to a task and resources related to that task, wherein each task relates to one or more related topics and is defined by a sequence of user actions corresponding to the resources related to that task; clustering the action trails based on the action trail data such that each action trail cluster corresponds to a particular task and includes the action trails corresponding to that particular task; and for each action trail cluster, ranking the resources that correspond to the included action trails according to the topics of the particular task.

Aggregating activity data for multiple users

A system for creating an activity-based social includes receiving information from a computing device of a participant in an activity, and determining that the information qualifies the participant for membership in a social network associated with the activity. The system also includes associating the participant with the social network, and enabling access, by the participant, to an electronic portal that provides access to the social network.

Creating a social network based on an activity

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating action trails from web history are described. In one aspect, a method includes receiving a web content access history of a user, the content access history including one or more user actions, each user action being associated with a content item upon which the user action is performed and identifying one or more action trails from the content access history, each action trail including a sequence of user actions performed one content items relating to a topic. Identifying a particular action trail includes clustering the user actions into a series of segments using temporal criteria; calculating semantic similarities between the content items, and adding a segment of the series of segments to the action trail when the semantic similarities between the segment and another segment satisfy a similarity threshold.

Generating action trails from web history

Aspects of the invention pertain to user interface visualizations, enabling efficient display of content on a display device. At least some content is presented having diagonal views to emphasize certain portions of the content while deemphasizing other portions of the content.

User interface visualizations

Growing community of inventors

Portola Valley, CA, United States of America

Elin R Pedersen