Amazon Technologies, Inc.

Laura Ellen Grit

James Connelly Petts

Aaron James Dykstra

George M Ionkov

Samuel A Minter

Dennis H Harding

Lindsey Christina Fowler

Yong Xi

Tom Killalea

David John Ward, Jr

David Nunnerley

A user device displays portions of an electronic publication for a user to read. The user device tracks the user's reading behavior of the portions of the electronic publication. The user device then suggests additional reading material for the user based on the user's reading behavior.

Reading material suggestions based on reading behavior

A customized questionnaire is generated for a content item, such as an eBook, audio file, video file, and so on. Upon an occurrence of predetermined event, the user is presented with the customized questionnaire soliciting responses to questions and/or rating evaluations relating to the content item. The responses may include reviews, ratings, recommendations of similar items, discussion topics, and other things. Information from the responses may be collected and associated with the content item to build a user-driven index.

Categorization based on user questionnaire

Content is distributed electronically to a plurality of users. As the users consume the content, they may annotate the content to indicate corrections, comments, or other information. Annotations are collected at a server and reported back to content creators, such as authors, publishers, translators, editors, etc.

Annotations for content creation feedback

Electronic content items such as electronic books are enhanced by identifying citations within the content items, identifying sources of the objects of the citations, and associating the citations with such sources so that readers of the content items can easily purchase or otherwise obtain the citation objects. The citations may be updated as new products become available or information related to the products changes over time.

eBook citation enhancement

Methods and apparatus for supporting instance ordering selection policies (ISOPs) for network-accessible resources are disclosed. A system includes a plurality of resource instances of a provider network, and a resource manager. The resource manager assigns an ISOP to be used to respond to instance acquisition requests of a specified type from a particular client. In response to a request of the specified type from the client, the resource manager determines, based at least in part on the ISOP, an order in which a plurality of resource groups (such as a set of instances reservations of the client, or an instance marketplace accessible to multiple clients) is to be examined to obtain an instance for the client. Starting with a first resource group, the resource manager examines each resource group until an instance matching instance selection criteria specified in the request is found.

Instance selection ordering policies for network-accessible resources

A user device displays portions of an electronic publication for a user to read. The user device tracks the user's reading behavior of the portions of the electronic publication. The user device then selects a problem from a group of pre-generated problems for the user based on the user's reading behavior and provides the selected problem to the user.

User device providing electronic publications with dynamic exercises

User content access events pertaining to a content item, such as an eBook, audio, video file, and so on, are collected and analyzed to determine progress data, including completion information about when the content item, or a portion thereof, has been completed. Once determined, further information or recommendations that have some relation to the completed content item may be presented to the user.

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Seattle, WA, United States of America

Laura Ellen Grit