Data processing: artificial intelligence – Adaptive system
Reexamination Certificate
2011-08-16
2011-08-16
Holmes, Michael B (Department: 2129)
Data processing: artificial intelligence
Adaptive system
C707S732000, C707S733000, C707S734000
Reexamination Certificate
active
08001064
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 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, including combined internal and profile weights, for producing personalized search results.
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Fenwick & West LLP
Holmes Michael B
Kim David H
Monster Worldwide, Inc.
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