Google Inc.

Henrik Jacobsson

Diego Federici

Systems and methods of the disclosure relate to selecting content via a computer network. The system can receive a query to generate content selection criteria. The system can identify an entity of the query and a query graph based on the entity. The system can access a database to identify a template corresponding to the query graph. The template can include a topology and a named variable. The system can determine multiple semantic criteria corresponding to the named variable that match the query graph. The system can use a statistical metric of each of the matching semantic criteria to select candidate content selection criteria.

Selecting content using entity properties

Systems and methods of the disclosure relate to selecting content via a computer network. A search query provided by a user device can be received. An entity of a search query, a corresponding confidence score, and a property can be identified via a data structure having information about entities. A match between a property of an entity of content selection criteria and the property of the entity of the search query can be determined. The content item can be selected as a candidate for display on the user device based on the match and the confidence score.

Systems and methods for selecting content

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining similarities between queries. A first query and a second query are identified, and first related queries associated with the first query and second related queries associated with the second query are also identified. One or more first features for the first query are identified, and one or more second features for the second query are also identified. A first score is calculated for each first feature based on the relatedness weight associated with the respective first related query including the term of the respective first feature, and a second score is calculated for each second feature based on the relatedness weight associated with the respective second related query including the term of the respective second feature. A similarity of the first query and the second query is determined based on the first score and the second score.

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Zurich, Switzerland

Henrik Jacobsson