Intuit, Inc.

Shrisha Radhakrishna

Nagaraju Bandaru

Eric D Moyer

Jonathan David Fasoli

Douglas L Foiles

Soumendra Daas

Bibhakar Ranjan

Kishore Jonnalagedda

Timothy E Hobson

Samuel Henry Michael Fischer

A method for automatically tracking mileage may include detecting a connection between a wireless sensor of a mobile device of a user and a wireless device, determining that the wireless device corresponds to a vehicle of the user, initiating tracking of a trip of the vehicle in response to detecting the connection, detecting termination of the connection using the wireless sensor, stopping tracking of the trip in response to detecting the termination of the connection, determining that the termination of the connection was caused by a dropped connection, and resuming tracking of the trip in response to determining that the termination of the connection was caused by the dropped connection.

Leveraging wireless connections for automated mileage tracking

One embodiment of the present invention relates to a system that enables a user of an application that runs natively on a client to obtain access to a web resource that is affiliated with the native application. First, the native application obtains an access token from a Central Authentication Service (CAS). Next, the native application sends a secure request for a one-time use session token to the CAS. If the CAS determines the request is valid, the CAS initializes a session token and sends the session token to the native application. After receiving the session token, the native application directs a browser to an endpoint server, appending the session token to the browser's request. Finally, the endpoint server initializes an authenticated session wherein the authenticated session is scoped to the desired web resource.

Transitioning a logged-in state from a native application to any associated web resource

A method and system for crawling multiple websites containing one or more web pages having information relevant to a particular domain of interest, such as details about local restaurants, extracting content from such websites, such as hours, location and phone number as well as reviews, review dates and other business specific information, and associating the extracted content with a specific business entity.

Method and system for crawling, mapping and extracting information associated with a business using heuristic and semantic analysis

A method and system for collecting and analyzing data found across multiple sites on the internet or stored in a self-contained or pre-loaded database, is disclosed which captures, extracts, analyzes, categorizes, synthesizes, summarizes and displays, in a customizable format, both the substance and sentiment embodied within user-generated content, such as comments or reviews, found across such sites and/or stored within such databases.

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San Jose, CA, United States of America

Shrisha Radhakrishna