GENERATION OF A BLENDED CLASSIFICATION MODEL

Patent №

US 8,019,758

Granted

2011-09-13

Filed 2005

Owner

MICROSOFT CORPORATION

AI components

5

ml · nlp · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

11157553

Methods for updating an information retrieval system are disclosed. In one embodiment, search terms affiliated with mappings or associations that represent a connection of relevancy between a query and an asset are pushed as content updates to a client system (e.g., as new updates or utilized to replace older data). The search terms are inserted (e.g., inserted as metadata) into corresponding content (the content associated with the asset). In this manner, content-searching data can be updated (e.g., remotely updated) as frequently as desired, even periodically, or selectively as new manually and/or automatically derived data becomes available. In another embodiment, the update data is already built into the content when it is delivered to a client machine. Other disclosed embodiments pertain to methods for generating a data mining classification model that is a blended representation of associations (e.g., query-asset associations) having different characteristics and/or different originating sources.

AI classification

Natural language1.00
Machine learning1.00
Knowledge representation1.00
AI hardware0.93
Planning0.91
Evolutionary computation0.36
Vision0.01
Speech0.00

Ownership

MICROSOFT CORPORATION

assignment · 162550436

Assignors

ZHENG, ZIJIAN, BEHR, JR., FREDERIC H., KIM, PYUNGCHUL, FOX, STEVEN CRAIG

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

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