Amazon Technologies, Inc.

A9.com, Inc.

Nicholas E Matsakis

Sunil Ramesh

Diane Hernek

Sonja E Hyde-Moyer

Yue Zhou

Benoit J Dupin

Steve Martin

Dimitris Margaritis

Disclosed are various embodiments for facilitating a search of published works, non-published works, and/or other works using both visual and text search elements. Upon receipt of an image, the search engine application determines whether the item depicted in the image includes searchable content. Once the search engine application determines that the item depicted in the image contains searchable content, the search engine application facilitates receipt of the search string that may be used to search the searchable content of the item. The search engine application may generate one or more search results in response to the search.

Searching inside items

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

Redwood City, CA, United States of America

Nicholas E Matsakis