Amazon Technologies, Inc.

Patrick Jing Ye

Diwakar Chakravarthy

Sainath Chowdary Mallidi

Charles Porter Schermerhorn

Jim Huang

Noor-E-Gagan Singh

Justin Canfield Crites

Xuan Wu

Strategies for an objective associated with an offering set are obtained. A strategy assigns respective selection probabilities of receiving content associated with the offering set to users of a user population. Strategy optimization iterations are performed with respect to a sub-sample of the population and a subset of the strategies. In a given iteration, weights assigned to the strategies are used to determine aggregated selection probabilities for users, content pertaining to the offering set is presented to users selected based on the aggregated probabilities, and the weights are adjusted based on feedback metrics and an exploration-exploitation tradeoff parameter. Based on weights updated in the iterations, content associated with the offering set is presented to users which were not in the sub-sample.

Optimization techniques for content presentation strategies

Disclosed are various embodiments of systems, methods, and computer programs that can facilitate processing of large data sets from data sources. Examples of the disclosure can allow a client to perform data processing tasks in computing resources that are external to a data source from which the data is retrieved rather than relying upon the computing resources of the data source.

Processing large data sets from heterogeneous data sources using federated computing resources

Growing community of inventors

Seattle, WA, United States of America

Patrick Jing Ye