Aurea Software, Inc.

Firstrain, Inc.

Qualcomm Incorporated

Fair Isaac Corporation

Uber Technologies, Inc.

Ignite Firstrain Solutions, Inc.

Ashutosh Joshi

David Cooke

Martin Betz

Rajiv Arora

Binay Mohanty

Michael Prospero

Aparna Gupta

Prashant Rao

Rakesh Kumar Srivastava

Jalvin Upadhyay

Shailesh Kumar

Joseph Czompo

Sergei Tolmanov

Megan Thorsen

Helen Geraldine E Rosario

Ansuman Mishra

Colin Little

Guttorm Ringstad Opshaug

Ning Luo

Zhenyu Yan

Sanjeev Khushu

Stuart L Crawford

Disha Ahuja

Shanta Pavan Namburi

Victor Miagkikh

Marc-david Cohen

Anjini Shukla

Pranit Arora

Miles Lucas Detrixhe

Ruofei Wang

Rakesh Kumar Sriastava

Example embodiments are directed to systems and methods for providing pickup point assistance. In example embodiments, a network system uses data received from one or more sensors to detect a location of a user that is requesting a transportation service. The network system also tracks, a driver along a route to the pickup point. Based on the tracking, an estimated time of arrival (ETA) of the driver at the pickup point is determined. Using the location of the user and the ETA of the driver, the network system performs analysis to determine whether an issue exists that affects the rider arriving at the pickup point on time to meet the driver. Based on the analysis, a notification to the user regarding the issue is automatically presented, whereby the notification is displayed on a device of the user.

Pickup assistance system

Some embodiments provide a method for defining a content relevance model for determining whether a content segment is relevant to a particular category. The method receives a first set of content segments that contain content relevant to the particular category and a second set of content segments that contain content not relevant to the particular category. The method identifies a set of key word sets more likely to appear in the first set of content segments than the second set of content segments. The method defines a content relevance model that comprises a set of groups of word sets and a score for each group, each of the groups of word sets comprising a key word set from the set of key word sets and at least one word set found in a context of the key word set in at least one of the received content segments.

Models for classifying documents

Some embodiments provide a method for determining a relatedness of content items to categories. The method identifies a particular content item, a relevancy score associated with the particular content item, and a set of categories to which the particular content item is classified as related. Based on a set of glossaries associated with the set of categories, the method calculates a set of affinity scores that each represents a degree of relevancy between the particular content item and a category in the set of categories. The method modifies the relevancy score associated with the particular content item based on the calculated set of affinity scores.

Affinity scoring

Some embodiments provide a program that identifies an entity having an entity attribute. The program receives, from each method of several methods, a set of candidate identity attributes that are each for identifying a particular entity having the entity attribute specified in the document. Each method of the several methods generates the corresponding set of candidate identity attributes based on the entity attribute specified in a document. The program calculates a score for each candidate identity attribute in the sets of candidate identity attributes. The program identifies, based on the sets of scores, an identity attribute from the sets of candidate identity attributes that identifies the entity having the entity attribute specified in the document.

Method and system for identifying entities

Some embodiments provide a method for generating a graphical user interface (GUI) for a research system. The method receives a request from a user of the research system for information about a particular category. The method generates a chart that displays a set of events associated with the particular category over a particular period of time. The method incorporates the chart into a GUI for the particular category for transmission to the user. Some embodiments generate a list of events associated with the particular category and generate a GUI that displays the list of the events. Each event is represented in the list by a title of a document identified by the research system as representative of the event.

Graphical user interface for presentation of events

An apparatus and method for providing an improved heading estimate of a mobile device in a vehicle is presented. First, the mobile device determines if it is mounted in a cradle attached to the vehicle; if so, inertia sensor data may be valid. While in a mounted stated, the mobile device determines whether it has been rotated in the cradle; if so, inertia sensor data may no longer be reliable and a recalibration to determine a new relative orientation between the vehicle and the mobile device is needed. If the mobile device is mounted and not recently rotated, heading data from multiple sensors (e.g., GPS, gyroscope, accelerometer) may be computed and combined to form the improved heading estimate. This improved heading estimate may be used to form an improved velocity estimate. The improved heading estimate may also be used to compute a bias to correct a gyroscope.

Inertial sensor aided heading and positioning for GNSS vehicle navigation

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Fremont, CA, United States of America

Ashutosh Joshi