Amazon Technologies, Inc.

Microsoft Technology Licensing, LLC

John B Bravenec

Peter D Cohen

Adam D Bradley

Jane T Kim

Michael J Patten

Aaron Michael Butcher

Warren G Stevens

Anthony T Chor

Yan Ke

Robert J Mauceri, Jr

Isaac E Nichols

Vikas Rajvanshy

Sarah J Bowers

Louis A Martinez

Habtamu M Feyessa

Mark H Schmidt

Jessica C Locke

Yi Lang Mok

Jaime Martin Sanchez Lopez

David B Flink

In one or more embodiments, a flip ahead input, such as a gesture, provides touch users with an ability to easily navigate various websites. The flip ahead input can be utilized to advance to the next portion of relevant content. In at least some embodiments, the flip ahead input resides in the form of a forward swipe. In one or more embodiments, the flip ahead input is configured to be utilized in association with an aggregated browsing history from multiple users. The aggregated browsing history is analyzed to generate rules that are then downloaded to a client device and used by a suitably-configured web browser to ascertain the next portion of content when a flip ahead input is received.

Rules for navigating to next content in a browser

Techniques are described for facilitating automated validation of results of performance of tasks. In some situations, task requesters may specify various automated validation criteria for tasks that they submit, and those specified validation criteria may automatically be used to determine whether results of performance of those tasks by task performers are validated. To facilitate such automated validation, predefined types of validation criteria may be provided that a user may select and/or configure. The outcome of automated validation of results may be used in various ways, such as to indicate when results have been validated and/or have not been validated, to determine whether to provide results to a task requester (e.g., if results are not provided unless they have been validated, or if results that fail validation are corrected or replaced with results that pass validation) and/or to compensate task performers for providing the results.

Automated validation of results of human performance of tasks

Techniques are described for facilitating interactions between task requesters who have tasks that are available to be performed and task performers who are available to perform tasks, such as by an intermediary electronic marketplace or other task fulfillment facilitator system. In some situations, task performer users and/or other users may create task subscriptions for use in automatically identifying tasks of interest to the users about which the users desire to receive notification. The users may be notified of the identified tasks in various ways, such as by sending electronic messages of various types to the users that include indications of the tasks identified for those users based on their subscriptions. Tasks of interest may be identified in various ways, such as based on task attributes of interest specified for a subscription that are later matched against tasks that are available at the time of the matching.

Identifying tasks for task performers based on task subscriptions

Techniques are described for managing the release of tasks so that the tasks are available for performance, such as for tasks submitted by task requesters to be performed by human task performer users, or the release of other types of items as being available for use. In some situations, the managed release of tasks is based at least in part on determining one or more desired task performance characteristic values, and predicting appropriate values for one or more performance-related factors that will produce the determined desired task performance characteristic values. As one example, a determined target quantity of tasks to make concurrently available may be determined that will result in a desired level of task performance contention, such as based on expected or actual values for a rate of task performance and a duration of possible contention.

Automatically controlling availability of tasks for performance by human users

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Seattle, WA, United States of America

John B Bravenec