Data processing: artificial intelligence – Adaptive system
Reexamination Certificate
2007-06-01
2010-11-02
Holmes, Michael B. (Department: 2129)
Data processing: artificial intelligence
Adaptive system
C707S732000, C707S733000, C707S734000
Reexamination Certificate
active
07827125
ABSTRACT:
Information retrieval systems face challenging problems with delivering highly relevant and highly inclusive search results in response to a user's query. Contextual personalized information retrieval uses a set of integrated methodologies that can combine automatic concept extraction/matching from text, a powerful fuzzy search engine, and a collaborative user preference learning engine to provide accurate and personalized search results. The system can include constructing a search query to execute a search of a database parsing an input query from a user conducting the search of the database into sub-strings, and matching the sub-strings to concepts in a semantic concept network of a knowledge base. The system can further map the matched concepts to criteria and criteria values that specify a set of constraints on and scoring parameters for the matched concepts. Furthermore, the system can learn user preferences to construct one or more profiles for producing personalized search results.
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Fenwick & West LLP
Holmes Michael B.
Kim David H
Trovix, Inc.
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