Amazon Technologies, Inc.

Andrew Dennis Willingham

Vineet Khare

Vineet Shashikant Chaoji

Gourav Roy

Alexander Slutsker

Saurabh Sohoney

Tilakkumar Patel

Sivaramakrishnan Kaveri

A user accessing content via a Web browser or other application can be provided with an option to deep link (or automatically redirected) into an identified application in order to access corresponding content via the identified application. The deep link can be determined using a set of rules and filters to ensure that the appropriate link is determined and that the option to deep link is only provided in accordance with user preferences and behaviors, or any restrictions on the display of the content. If the identified application is not installed on the device, the user can be automatically redirected to an application store or other source from which the application can be obtained.

Rule and filter-based deeplinking between applications

Features are provided for the analysis of collections of data and automatic grouping of data having certain similarities. A collection of data regarding user interactions with item-specific content can be analyzed. The analysis can be used to identify groups of items that are of interest to groups of similar users and/or to identify groups of users with demonstrated interests in groups of similar items. Data may be analyzed in a 'bottom-up' manner in which correlations within the data are discovered in an iterative manner, or in a 'top-down' manner in which desired top-level groups are specified at the beginning of the process. A bottom-up process may also be distributed among multiple devices or processors to more efficiently discover groups when using large collections of data.

Distributed grouping of large-scale data sets

Growing community of inventors

Seattle, WA, United States of America

Andrew Dennis Willingham