Google Inc.

Ian James Leader

Alexander Collins

Yunkai Zhou

Gaurav Garg

Jeremy Silber

Emily Kay Moxley

Awaneesh Verma

Conrad Wai

Lewis Adam Denizen

Christopher Souvey

Alexander Fischer

Jennifer J Huang

Daniel Amaral De Medeiros Rocha

Hongji Bao

Clemens Lombriser

Gaurav Bhaya

Robert Stets

Lars Kare Engebretsen

Fabian Roth

Daniel A De M Rocha

Ali Ajdari Rad

Hans Van Wesenbeeck

Kristoffer Lidstroem

Oana Gheorghita

Methods, systems, and apparatus include computer programs encoded on a computer-readable storage medium, including a method for providing content. Search results responsive to a query are identified including a first search result in a top set of search results, the first search result associated with a first entity. A first eligible content item is identified for presentation along with the search results, the first eligible content item associated with the first entity. A combined content item is identified that is a combination of the first search result and first eligible content item and is to be presented as a search result responsive to the query. The combined content item is augmented including: identifying entities related to the first entity, identifying content items that are associated with the related entities, selecting at least one identified content item, and using content from the selected content items to augment the combined content item.

Combining content with a search result

Selection of content selection criteria based on entities related by relationship dimensions. In one aspect, a method receives a selection of a seed entity described in entity relation data, the entity relation data defining instances of entities, and for each entity one or more relationship dimensions; generating a set of selected entities; iteratively updating the set of selected entities, each iteration comprising: determining a set of relationship dimensions from the entities in the set of selected entities, each relationship dimension in the set being selected from the one or more relationship dimensions of the entities in the set of selected entities, receiving a selection of one of the relationship dimensions and in response: determining a set of candidate entities from the relationship dimensions and in response to receiving a selection of one or more candidate entities, updating the set of selected entities to include the one or more candidate entities.

Content item selection criteria generation

Routing packetized actions in a voice activated data packet based computer network environment is provided. A system can receive audio signals detected by a microphone of a device. The system can parse the audio signal to identify trigger keyword and request, and generate an action data structure. The action data structure can include digital components and entity-action pairs.

Audio based entity-action pair based selection

Systems and methods for entity-based searching with content selection include receiving a search query and determining that the search query corresponds to a search entity. The search entity may be associated with an online action, thereby forming an entity-action pair. Auction parameters that specify the entity-action pair may be used to select third-party content. A visual layout for the third-party content may be generated based on the relationship between a search query and the entity-action pair and used as part of the presentation of the third-party content on a search result screen.

Entity-based searching with content selection

A computing system may process previous inputs from a user into at least one electronic device, the previous inputs including at least a first input indicating that the user has woken up and a second input indicating that the user has left a sleeping location. The computing system may predict a bed-to-door time duration between the user waking up and the user leaving the sleeping location based on the first input indicating that the user has woken up and the second input indicating that the user has left the sleeping location. The computing system may determine a wakeup time for the user based on the predicted bed-to-door time duration and a time at which the user should leave the sleeping location to arrive at the appointment on time. The computing system may cause the at least one electronic device to output an alarm at the determined wakeup time.

Waking user up in time to arrive at appointment by calculating bed-to-door time

Systems and methods for a feed upload for search entity based content selection include receiving a feed. The feed has feed items that include identification data, a feed item type, and an online action. The identification data and item type are used to identify a unique search entity that corresponds to a named entity in the physical world. An entity-action pair is generated based on the identified search entity.

Feed upload for search entity based content selection

Systems and methods of this disclosure are directed to optimizing a content selector executing on content selection infrastructure. An entity engine retrieves a search query report with queries corresponding to selected content items of a content campaign and a performance metric for each query. The entity engine determines an entity for each of the queries. A cluster engine generates a first subset of the queries and a second subset of the queries based on the entity for each query. The cluster engine generates a first performance metric for the first subset and a second performance metric for the second subset. An interface displays the first performance metric and the second performance metric. A campaign generator receives a selection of a semantic criterion based on the first subset and updates the content campaign to include the semantic criterion.

Systems and methods of generating semantic traffic reports

Growing community of inventors

Zurich, Switzerland

Ian James Leader