Google Inc.

Uber Technologies, Inc.

Stephen Chau

Andrew Timothy Szybalski

Stephane Lafon

Andrea Lynn Frome

Derek King Prothro

Jerry Howard Morrison

Jason Droege

Jason S Bayer

Calvin Lee

Eric H C Liu

Huy M Nguyen

Luc Vincent

Huy Tuan Nguyen

Daniel Joseph Filip

Andrew Lookingbill

Grzegorz Glowaty

Randy Simon

Zhonghao Yang

Eric Hc Liu

Jie Shao

Kansinee Adsanatham

Dennis Hwang

Stéphane Lafon

Eric HC Liu

A computer system can estimate preparation times associated with items offered by a plurality of entities to manage a service over a given geographic region. The computer system can receive, from a user device of a user, a request that indicates a user selection of a first set of one or more items to be provided by a first entity and a second set of one or more items to be provided by a second entity. The network system can determine a route of travel for a service provider to navigate in fulfilling the request. The route of navigation can be determined based at least in part on a first set of preparation timing information associated with the first set of one or more items and a second set of preparation timing information associated with the second set of one or more items.

Network system to determine a route based on timing data

A network system can receive, from a user device of a requesting user, a query related to a first service. If the network system determines that a first service provider is in progress of providing a second service for the requesting user, the network system can identify, based on a service location of the second service, a plurality of entities that provide items available for selection in association with the first service. The network system can further determine whether to select the first service provider to fulfill the request for the first service based on an estimated first service duration associated with the first service and an estimated duration remaining for the second service. The first service duration can be estimated based on respective timing information associated one or more items selected by the requesting user. The network system can update a route for the first service provider.

Optimization of network service based on an existing service

Methods, systems, and media for presenting suggestions of media content are provided. In some implementations, the method comprises: determining an item of media content; determining a probability of the item of media content being watched at one or more times based on at least one of: a characteristic of a person; a characteristic of a group; and a characteristic of the item of media content; creating a user interface which suggests that the item of media content be watched at one or more times based on the determined probability; and presenting the user interface.

Methods, systems, and media for presenting suggestions of media content

In accordance with some implementations of the disclosed subject matter, mechanisms for presenting recommended media content items are provided. In some implementations, a method for providing media guidance is provided, the method comprising: receiving a query from a user; determining search terms from the received query; determining location information corresponding to the user and popularity information associated with a plurality of media content items and a plurality of content sources; selecting a media content item from the plurality of media content items based at least in part on the popularity information associated with each of the plurality of media content items and the search terms from the received query, wherein the selected media content item is available from the plurality of content sources; selecting at least one content source from the plurality of content sources based at least in part on the location information associated with the user and the popularity information associated with each of the plurality of content sources; and causing a recommendation interface to be presented to the user, wherein the recommendation interface includes the selected media content item that is provided from the at least one selected content source.

Methods, systems, and media for presenting recommended media content items

Disclosed herein are methods and systems that relate to an 'activity assistant' that provides users with dynamically-selected 'activities' that are intelligently tailored to the user's world. The subject technology receives the one or more global parameters of one or more selected activities. The subject technology further receives the one or more account-specific parameters of a selected user account. For the selected user account, and for each of the one or more selected activities, the subject technology: (a) determines one or more signals based at least in part on one or more of the global parameters of the selected activity and one or more of the account-specific parameters of the selected user account, and (b) uses the determined signals as a basis for determining an importance of the selected activity for the selected user.

Activity assistant

A computer system can estimate preparation times associated with items offered by a plurality of entities to manage a service over a given geographic region. The computer system can receive, from a user device of a user, a request that includes a selection of one or more items offered by one or more entities near the service location. The network system can determine an optimal route of navigation for a service provider to navigate in fulfilling the request. The route of navigation can be determined based at least in part on timing information associated with the one or more items selected by the user. The timing information can be determined based on historical data and/or real-time data.

Systems, methods, and computer storage mediums for directing a user to an image of an advertiser's geolocation are provided. An exemplary method includes retrieving a first image associated with a geolocation, where the geolocation is based on a user action. At least one advertising unit is also selected based on at least the geolocation associated with the first image. Each advertising unit includes at least one geolocation associated with an advertiser. At least one advertising unit is then placed on the first image. Finally, a second image is retrieved when a placed advertising unit is selected by the user. The second image is retrieved based on the geolocation associated with the placed advertising unit.

Navigation-based ad units in street view

Aspects of the disclosure relate to placing labels on photographic images so as not to obstruct a particular object. An image associated with a geolocation is identified, where the geolocation is based on a user action. The image is analyzed to identify at least first and second objects within the image. Object types for each object are determined. A determination is made that the first object is to be annotated with a label according to the first object type, and that the first and second object types differ. The image is also analyzed to determine a position on the second object to place the label so that the label does not obstruct the first object. Based on this analysis, the label is placed on the second object without obstructing the first object.

Label placement based on objects in photographic images

A network system can estimate preparation times associated with items offered by a plurality of entities to manage a network service over a given geographic region. The network system can receive, from a user device of a user, a request that includes a selection of one or more items offered by one or more entities near the service location. The network system can determine an optimal route for a service provider to navigate to provide the service based at least in part on mapping information and determined preparation times associated with the one or more selected items. The optimal route includes at least a first route segment from a first location to at least one of the entities and a route segment from a second location to the service location.

Growing community of inventors

Palo Alto, CA, United States of America

Stephen Chau