Google Inc.

Aurelien Boffy

Behshad Behzadi

Marcin M Nowak-Przygodzki

Evgeny A Cherepanov

Nils Grimsmo

Matthias Heiler

Fredrik Bergenlid

Karoly Csalogany

Alessandro Agostini

Gokhan Hasan Bakir

Michal Jastrzebski

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing contextual information to a user. In one aspect, a method includes receiving, from a user device, a query-independent request for contextual information relevant to an active resource displayed in an application environment on the user device, generating multiple queries from displayed content from the resource, determining a quality score for each of the multiple queries, selecting one or more of the multiple queries based on their respective quality scores, and providing, to the user device for each of the selected one or more queries, a respective user interface element for display with the active resource, wherein each user interface element includes contextual information regarding the respective query and includes the respective query.

Query recommendations for a displayed resource

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining query refinements using search data. In one aspect, a method includes receiving a first query and a second query each comprising one or more n-grams for a user session, determining a first set of query refinements for the first query, determining a second set of query refinements from the first set of query refinements, each query refinement in the second set of query refinements including at least one n-gram that is similar to an n-gram from the first query and at least on n-gram that is similar to an n-gram from the second query, scoring each query refinement in the second set of query refinements, selecting a third query from a group consisting of the second set of query refinements and the second query, and providing the third query as input to a search operation.

Query refinements using search data

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating query suggestions based on search data. In one aspect, a method includes receiving, by one or more computers, a first query, determining query refinements based on the first query, generating, from the query refinements, refinement clusters, each refinement cluster corresponding to a particular topic and each refinement cluster including query refinements that are determined to belong to the particular topic to which the refinement cluster corresponds, ranking the refinement clusters, and selecting the refinement cluster that is highest in the ranking relative to other refinement clusters in the ranking as a first search refinement cluster for the first query.

Query suggestions based on search data

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Basel, Switzerland

Aurelien Boffy