Amazon Technologies, Inc.

A9.com, Inc.

Benoit J Dupin

Andrew Robert Toner

Daniel Tam

Diane Hernek

Yue Zhou

Steve Martin

Nicholas E Matsakis

Anuradha Subraminian

Dimitris Margaritis

Christopher M Hafner

James C Beck

Adam J Sevillia

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

Systems, methods, and apparatus are provided for determining relevance of documents to queries. An optimized relevance function is configured to determine a relevance value of documents of a first type that are linked to documents of a second type. The relevance function is optimized to satisfy certain criteria. According to one criterion, a relevance value produced by the optimized relevance function, when invoked for documents of the first type, should have a locally maximal degree of fit to the results of the existing relevance function for the sample training documents of the second type. An assessed degree of fit of a document can be increased or decreased to arrive at an optimized relevance function that ranks the documents of the first type in a desired position relative to documents of the second type in search results. The degree of fit can be assessed by a user-provided objective function.

Ranking non-product documents

Growing community of inventors

Sunnyvale, CA, United States of America

Benoit J Dupin