Amazon Technologies, Inc.

Mark Chien

James Robert Blair

Sean Michael Scott

Steven Todd Rabuchin

Anoop Balakrishnan

Chi Ming Kan

Farah Lynn Houston

Christopher Philip Jordan

Catherine Lewis Beaudoin

Stacy Colasurdo

Jerome Paul

James Michael Healey, Iii

Luis Felipe Cabrera

Stefano Stefani

Warren Vincent Barkley

Devraj Varadhan

Siddharth Vivek Joshi

Kamlesh T Talreja

Nicole A Deflaux

Ryuichi Hirano

Anuj Gupta

Jang Han Goo

Sindhu Chejerla

Prateek Sharma

Kriti Bharti

Jon I Turow

Jonathan Thomas Greenlee

Qiang Zhao

Mohamed Reza Hussein

A request is received associated with a review. Within first content, a first field of interest and a second field of interest are identified and within second content, a third field of interest and a fourth field of interest are identified. A review is generated that includes a first indication of the first field of interest and a second indication of the second field of interest within the first content, as well as a third indication of the third field of interest and a fourth indication of the fourth field of interest within the second content. The review is transmitted to a device of a reviewer for reviewing the content.

Providing content reviews based on AI/ML output

This disclosure describes a tabletop game assistant system configured to ingest and guide tangible games (such as board games, card games, etc.) using natural language interaction and image capture/visual display components. The system can include features enabling a game developer to 'teach' the system the rules of a game using natural language, such as written instructions, to reduce or eliminate the need for writing dedicated code. The system may process images of a game board and/or tokens such as game pieces and/or cards to further generate game data in the form of a logical game model. The system can use the game data to guide human players of the game and, in some cases, participate as a player itself. The system may further be configured to observe a game and detect invalid actions, answer questions regarding the rules, and suggest moves. The system may provide additional utilities such as generating a random output (e.g., rolling virtual dice) and learning to recognize new game pieces.

Natural language configuration and operation for tangible games

Techniques are described for facilitating performance of tasks involving human review of media data (e.g., images, audio clips, video clips, etc.), such as to identify one or more targets of interest. The media data review may be performed for various reasons, such as to assist in locating one or more target objects in a large geographical area (e.g., one or more missing people or vehicles) based on human review of large quantities of images that each correspond to a small subset of the geographical area. When one or more of the reviewed media data pieces are identified as being relevant, information about those identified media data pieces may be used in various ways. Furthermore, in at least some situations, the media data review may be part of a charitable effort that uses human volunteers to review the media data without monetary payment or other compensation.

Managing performance of human review of media data

Disclosed are various embodiments for a navigation element generation application. A navigation element comprising a plurality of navigation aids is generated responsive to a search query and other data. A relevance score is calculated for the navigation element. The navigation element is inserted into a ranked list of search result items as a function of the relevance score and communicated to a client.

Ranked navigation element

A merchant system computes various probabilities that visitors to a Web site will request individual Web pages of the Web site. The computed probabilities are then utilized to cache Web pages having the highest probabilities of being requested to a client device. The probability data may include aggregate probability data that defines the probability that any visitor to the Web site will request a Web page, customer segment probability data that defines the probability that customers in a particular customer segment will visit the Web pages, and/or customer-specific probability data that defines the probability that a specific customer of the Web site will visit the Web pages. Only Web pages having a computed probability greater than a caching threshold may be cached at the client device. Additionally, the Web pages may also be cached at the client device based upon the actual interaction with the Web site by a visitor.

Efficiently caching data at a client device

A system is disclosed that integrates secondary content, such as articles retrieved from a collaborative encyclopedia or other content site, into an electronic catalog system or site that hosts an interactive electronic catalog. In some embodiments, the system operates by retrieving secondary content articles from an external system or site, and by supplementing these articles with interactive display elements for accessing related catalog content and/or functions. For example, if an article mentions a particular catalog item or group of catalog items, it may be supplemented with a selectable display element for viewing catalog content associated with the referenced item or item group. The supplemented articles are made available to users via pages of the electronic catalog system or site.

Integration of secondary content into a catalog system

Growing community of inventors

Bellevue, WA, United States of America

Mark Chien