Microsoft Technology Licensing, LLC

Charles B Schweizer

Shawn Michael Brown

Robert Paul St Pierre

Kevin A Chin

Audrey Yung-Ch'In Sousa

Arturo Ortiz Asbun

Kevyn Breca Collins-Thompson

Populating a contact entry with selected entity information based on an identifier associated with a call (e.g., a telephone call, VoIP call, text message, electronic mail message, or any other communication). As the call is detected, entity information for the identifier (e.g., a telephone number, VoIP address, MAC address, etc.) is generated. The entity information is filtered based on a category of the entity information, user preferences, location of a computing device (e.g., mobile telephone) of the user, or other filtering criteria. The filtered entity information is associated with the contact entry for the identifier, thereby enhancing the contact entry while reducing typing on the computing device. In some embodiments, additional information such as advertisements for a competitor of the entity are provided to the user.

Contact entry population from call entity information

Described is a system and method for improving string matching in a noisy channel environment. The invention provides a method for identifying string candidates and analyzing the probability that the string candidate matches a user-defined string. In one implementation, a find engine receives a query string, converts an image file into a textual file, and identifies each instance of the query string in the textual file. The find engine identifies candidates within the textual file that may match the query string. The find engine refers to a confusion table to help identify whether candidates that are near matches to the query string are actually matches to the query string but for a common recognition error. Candidates meeting a probability threshold are identified as matches to the query string. The invention further provides for analysis options including word heuristics, language models, and OCR confidences.

System and method for improved string matching under noisy channel conditions

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Redmond, WA, United States of America

Charles B Schweizer