Amazon Technologies, Inc.

Andrew Robert Toner

Sachin Midha

Nirav Praful Desai

Jai Prakash Chabria

Nicholas Stephen Bogert

Thiyagarajan Ramasamy

Chad Pham Driesbach

Meghan Lagoni

Brad P Bonnett

Samuel Stevens Heyworth

Christopher Warren Bryant

Daniel Tam

Benoit J Dupin

James C Beck

Anuradha Subraminian

Jeremy Todd Claeson

Adam J Sevillia

Darshan Dev Bildikar

Christopher M Hafner

Edward Charles Grenier

Balu Ramu

Ambareesha Raghothaman

The systems and methods disclosed herein can increase the speed and ease with which a user can discover compatible replacement parts for a specified model of a product by automatically determining when the user is interested in replacement parts. A replacement part system can conclude that a user is looking for replacement parts based on the user's search queries, the user's browsing behavior, or the user's prior purchases. By automatically deducing an intention to purchase a replacement part, the replacement part system can make it easier for a user to locate suitable replacement parts. In addition, the replacement part system can be configured to tailor listing set of replacement parts search results it provides to a user. The set of search results can be tailored based on a number of criteria to increase the speed with which the user finds a compatible replacement part.

Search query-based replacement part interface

Systems and methods herein can generate sales rankings for parts based on one or more metrics, such as geographic location of purchasers of the parts or based on items owned by users that function in conjunction with the parts. The systems can present the sales rankings to a user based on another item owned by the user. For example, sales rankings of memory can be presented to a user based on a laptop model owned by the user. Thus, users can determine how popular a part is among particular segments of the population, such as among users living in a certain geographic region, or among users who own a particular item designed to operate with the part. Moreover, the sales rankings can be used to generate recommendations of parts based on a corresponding item owned by the user that is configured to function with the part type.

Item-specific sales ranking systems and methods

Disclosed are various embodiments for using applications of items in conducting item searches. It is determined, in one or more computing devices, whether a search query string includes an application key. A non-key portion of the search query string that excludes the application key is obtained when the search query string includes the application key. A search is executed on a subset of items in an item catalog using the non-key portion of the search query string to obtain a result set of items. Each item in the subset of items is associated with an item application that matches the application key.

Using applications of items in item searches

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Bothell, WA, United States of America

Andrew Robert Toner