IDENTIFYING LIKELY RECIPIENTS OF A MESSAGE

Patent №

US 7,543,243

Granted

2009-06-02

Filed 2003

Owner

MICROSOFT CORPORATION

AI components

3

nlp · kr · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

10342652

The present invention is directed to a system and method for identifying the most likely recipients for a message or other communication from a source and building a most frequently used list of recipients. The present invention utilizes a contact list and determines the likelihood that a list of recipients from that contact list are the intended targets for a current message. The likelihood determination is made using both how recent and how frequent prior communications were made to particular individuals or groups of recipients. Further, a user is able to switch between a most frequently used list of recipients and full list of contacts.

AI classification

Planning1.00
Knowledge representation1.00
Natural language0.97
Evolutionary computation0.03
AI hardware0.01
Speech0.01
Machine learning0.00
Vision0.00

Ownership

MICROSOFT CORPORATION

assignment · 136790180

Assignors

SCHWARTZ, JORDAN LUTHER KING, SILBEY, MARC ADAM, KABIR, AHSAN SYED, VAN DOK, CEES, PALMEN, HILARY, GIACOBBE, GAIL BOROD, BARNET, SANDRA, PARK, VIVIEN

On an employer assignment, the assignors are typically the inventors.

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