Samsung Electronics Co., Ltd.

Quixey, Inc.

Uber Technologies, Inc.

Eric Chen

Jonathan Ben-Tzur

Taher Savliwala

Eric J Glover

Nikunj Aggarwal

Xueying Dai

Jeremy Hermann

Shahriar Shariat

Shagandeep Kaur

Marcos M Campos

Michael Del Balso

Pusheng Zhang

Justin Feinman

Brandon White

A system includes a user interface presented to a developer. The developer selects a first function to supplement functionality of a first application with external functionality available from third party applications. A code generation module provides a software object to the developer for incorporation into a first state of the first application. The first state includes a user interface element associated with an entity. User selection of the user interface element initiates preparation of a query wrapper including a combination of the entity's name and a predefined text string corresponding to the first function. The query wrapper is transmitted to a search system and a result set is received and displayed. A first item of the result set includes an access mechanism for a specified state of a target application. User selection of the first item causes the access mechanism to open the target application to the specified state.

State-specific external functionality for software developers

Machine-learned models are selectively distributed to a plurality of computer servers according to conditions associated with the computer servers. A server receives travel information from a travel coordination system. The travel information describes a plurality of conditions. The server identifies a hierarchy of one or more parent-child relationships based on the plurality of conditions. The server trains machine-learned models using the plurality of conditions described by the travel information. The server selects machine-learned models for the plurality of conditions responsive to the identified hierarchy. The server distributes machine-learned models to the plurality of computer servers responsive to the identified hierarchy.

Selective distribution of machine-learned models

A method includes receiving a request from a user device executing a native application. The request indicates an accessed state of the native application to which the native application is set. The method includes identifying one or more categories of the accessed state of the native application and recommended application resource identifiers based on features of the accessed state. Each of the recommended application resource identifiers references a different state of a native application. When a native application is selected by the user, the method includes setting the native application to the different state. For each of the application resource identifiers, the method includes identifying one or more recommended categories of the state referenced by the recommended application resource identifier and determining whether to recommend the different state referenced by the recommended application resource identifier based on features of the accessed state and features of the state of the application.

In-application recommendation of deep states of native applications

Techniques include generating an advertisement (ad) including text and/or image data using a user device (e.g., a mobile computing device). The techniques further include identifying one or more proximate devices (e.g., networked computing devices or appliances) located proximate to the user device using a local wireless network (e.g., Wi-Fi, Bluetooth, or NFC). The techniques include modifying (e.g., personalizing) the ad based on the identified proximate devices, based on one or more device types (e.g., categories) associated with the devices, and/or based on one or more states of the devices. In some examples, the techniques include transmitting an indication of the identified proximate devices, their types, and/or their states and an indication of the ad to an ad system, and receiving the modified ad from the system. The techniques also include displaying the modified ad to a user at the user device (e.g., within a software application executing on the device).

Personalizing advertisements based on proximate computing devices

A system stores information identifying functions and corresponding unique identifiers. Each of the functions corresponds to external functionality available from third party applications. An application developer selects one of the functions to supplement functionality of their application. The system provides a software object to the application developer. The software object includes instructions for, in response to user selection of a user interface element, preparing a query wrapper including the corresponding unique identifier of the function and an identifier of a corresponding entity. The instructions transmit the query wrapper to a search system and receive a result set from the search system. An item in the result set includes an access mechanism for a specified state of a target application. The instructions display the result set and, in response to user selection of the item, actuate the access mechanism to open the target application to the specified state.

Entity-based external functionality for software developers

A system includes a data store storing information identifying multiple functions and corresponding unique identifiers. Each of the functions corresponds to external functionality available from third party applications. The system receives a selection from an application developer of a function to supplement functionality of an application under development. The system provides a software object to the application developer for incorporation into a state of the application. The software object includes instructions for extracting text from the state and preparing a query wrapper including the corresponding unique identifier of the function and the extracted text. The instructions receive a result set, including an item that includes an identifier of a target application and an access mechanism for a specified state of the target application. The instructions display the item and, in response to user selection of the item, actuate the access mechanism to open the target application to the specified state.

Dynamic entity inference for developer integration of entity-based external functionality

A system of one or more computing devices includes a user interface presented to a developer. A data store stores information identifying multiple functions, each corresponding to external functionality available from third party applications. The developer selects at least one of the functions to supplement functionality of a first application. A code generation module provides a software object for incorporation into the first application. The software object includes instructions for transmitting a query wrapper to a search system. The query wrapper includes a predefined text string corresponding to one of the functions selected by the developer. The software object includes instructions for receiving and displaying a result set including multiple items, each including a name and corresponding access mechanism of an application. The software object includes instructions for, in response to user selection of a first item, actuating the access mechanism to download or open the corresponding application.

Growing community of inventors

Sunnyvale, CA, United States of America

Eric Chen