Yahoo! Inc.

Sudipta Guha

Ralph Rabbat

A method for processing query data is described that includes receiving a query portion from a client over a network. For each of multiple search contexts, a relevance score is determined, based on the query portion. Each search context corresponds to a different set of information against which queries can be executed. Indication of the relevance scores is provided to the client over the network. Determining the relevance score and providing indication are performed prior to an input indicating a complete query or in response thereto. The method may also include associating shortcuts with search contexts, selecting a set of shortcuts based, at least in part, on the relevance scores for the search contexts and the association between the shortcuts and search contexts, and sending the set of shortcuts to the client. The shortcuts include links for accessing a content location associated with the shortcut.

Search equalizer

In response to a user's submission of a set of query terms through an Internet search engine's user interface, the Internet search engine automatically ranks multiple verticals based on the estimated probabilities that those verticals will contain relevant content. After the verticals have been ranked, a set of the highest-ranked verticals is selected. Search results from each of the verticals in the selected set are presented to the user. Thus, the user may obtain a sample from verticals that are the most likely to contain relevant content. The search engine may rank a set of verticals based on historical search result selection data for similar sets of query terms. The historical search result selection data for a set of query terms indicates, for each vertical, the number of times that any user selected a search result from that vertical after conducting a search based on that set of query terms.

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Cupertino, CA, United States of America

Sudipta Guha