Data processing: artificial intelligence – Knowledge processing system – Knowledge representation and reasoning technique
Reissue Patent
2003-03-12
2010-10-26
Sparks, Donald (Department: 2129)
Data processing: artificial intelligence
Knowledge processing system
Knowledge representation and reasoning technique
C706S014000, C707S999003
Reissue Patent
active
RE041899
ABSTRACT:
Information presented to a user via an information access system is ranked according to a prediction of the likely degree of relevance to the user's interests. A profile of interests is stored for each user having access to the system. Items of information to be presented to a user are ranked according to their likely degree of relevance to that user and displayed in order of ranking. The prediction of relevance is carried out by combining data pertaining to the content of each item of information with other data regarding correlations of interests between users. A value indicative of the content of a document can be added to another value which defines user correlation, to produce a ranking score for a document. Alternatively, multiple regression analysis or evolutionary programming can be carried out with respect to various factors pertaining to document content and user correlation, to generate a prediction of relevance. The user correlation data is obtained from feedback information provided by users when they retrieve items of information. Preferably, the user provides an indication of interest in each document which he or she retrieves from the system.
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Bornstein Jeremy J.
Ponceleón Dulce B.
Rose Daniel E.
Tiene Kevin
Apple Inc.
Fenwick & West LLP
Fernandez Rivas Omar F
Sparks Donald
LandOfFree
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