Systems and Methods for Estimating Sender Similarity Based on User Labels

Patent №

US 9,749,277

Granted

2017-08-29

Filed 2014

Owner

GOOGLE INC.

AI components

5

ml · nlp · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14574272

A method assigns categories to electronic messages. Users assign labels to messages received from multiple senders. The user-assigned labels are aggregated into a co-occurrence matrix whose axes correspond to the plurality of senders. Each matrix entry measures the extent to which users have assigned identical user-assigned labels to the pair of senders. Using the co-occurrence matrix, a latent vector is computed for each sender. A user re-categorizes a message received from a first sender, assigning the message to a first category. One or more second senders are identified that are similar to the first sender. Similarity of senders is measured by proximity of the latent vectors corresponding to the senders. One or more second messages are identified from the second senders, and the user is presented with the suggestion to reclassify the second messages under the first category. Upon user confirmation, the second messages are reclassified.

AI classification

Natural language1.00
Machine learning1.00
Planning1.00
Knowledge representation0.99
AI hardware0.89
Vision0.01
Evolutionary computation0.00
Speech0.00

Ownership

GOOGLE INC.

assignment · 345920445

Assignors

KAUFMANN, TOBIAS, DAI, ANDREW

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

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