Yahoo! Inc.

A9.com, Inc.

David Mark Ciemiewicz

Hal R Schectman

Jackie Andrew Freeman

Apostolos Karmirantzos

James Michael Reinhold

Tony Sang-min Lee

David Simpson

Gregory M Makris

Belle L Tseng

Jean-Marc Langlois

Philip Lewis Bohannon

Francois Huet

Sathiya Keerthi Selvaraj

Arun Sundaresan Iyer

Jagadeshwar Nomula

Raghu Ramakrishnan

Erick Cantu-Paz

Nilesh Dalvi

Vinay Kakade

Ya Zhang

Vipul Agarwal

Arup Kumar Choudhury

Priyank Singh

Mani Abrol

Alok S Kirpal

Christopher Thun

Various approaches provide for determining the selection and/or ranking of items to display based at least in part upon the probabilities of a user being interested in those items. The probabilities can be based on profile information of a user. The profile information can include a three-dimensional virtual model of the user. When a search for content is received, the information for the three-dimensional virtual model can be used to determine a set of items. For each item, a matching score quantifying a visual appreciation can be determined based on how well an item virtually 'fits' the three-dimensional virtual model. Based on the matching score, the selection and/or ranking of items to display can be determined. In some situations, the items can be shown to appear to be worn by the three-dimensional virtual model. The user can purchase items, cause item information to be presented to other users or sent to other devices, and/or perform other such actions.

Displaying relevant content

Various users' navigational behaviors relative to search results presented by a search engine are monitored. URLs that are visited and revised queries that are submitted after the submission of an original query are placed within a trail that begins with the original query. These trails are grouped based on the original queries with which they begin. For each trail group, a set of URLs that frequently occur in that group's trails, and a set of revised queries that frequently occur in that group's trails, are determined. These frequently occurring elements are mapped to the original queries with which all the trails in the corresponding trail group begin. In response to subsequent submissions of the same original query, the search engine ensures that URLs and revised queries that are mapped to the original query are prominently displayed on the search results pages that are initially returned in response to those submissions.

Automated user behavior feedback system for whole page search success optimization

Techniques are provided for the efficient location, processing, and retrieval of local product information derived from web pages generally locatable through form queries submitted to web pages often referred to as the 'deep' or 'hidden' web. In an embodiment, information such as product information and dealer-location information is located on a web page form such as a dealer-locator form. After location of a suitable web page form, editorial wrapping is performed to create an automated information extraction process. Using the automated information extractor, deep-web crawling is performed. A grid-based extraction of individual business records is performed, and matching and ingestion are performed in conjunction with a business listing database. Finally, metadata tags are added to entries in the business listing database. Metadata tags also may be added to entries in other databases.

Method and system for form-filling crawl and associating rich keywords

The present invention is directed towards systems and methods for generating and displaying the difference between a primary result set and a secondary result set. According to the present invention, a method for displaying the difference between a primary result set and a secondary result set for a query comprises generating a primary result set and a secondary result set, the primary result set and secondary result set generated according to one or more respective disparate search algorithms. A difference result set is determined according to a difference between items in the primary result set and second result set, which is displayed to a user.

Difference control for generating and displaying a difference result set from the result sets of a plurality of search engines

Indication of exclusive items in a result set

Presentation of differences between multiple searches

Growing community of inventors

Mountain View, CA, United States of America

David Mark Ciemiewicz