Systems and methods for determining user interests

Details Systems and methods for determining user interests Systems and methods for determining user interests

2005-03-31

2009-11-03

Vincent, David R (Department: 2129)

Data processing: artificial intelligence

Neural network

Learning task

C707S793000, C707S793000, C707S793000, C715S700000

Reexamination Certificate

active

07613664

ABSTRACT:
Techniques are provided to determine user-interest features and user-interest parameter weights for a user-interest model. The user-interest features are pre-determined and/or determined dynamically. Pre-determined user-interest features are based on user-interest profiles, prior user activities, documents listed in a resume, reading or browsing patterns and the like. Dynamically determined user-interest features include features learned from an archive of user activities using statistical analysis, machine learning and the like. User-interest parameter weights are pre-determined and/or dynamically determined. Pre-determined user-interest parameter weights include parameter weights manually entered by a user indicating the relevant importance of a user-interest feature and parameter weights previously learned from an archive of the user's past activities. Dynamically assigned user-interest parameter weights include dynamically determined updates to user-interest parameter weights based on newly identified documents or topics of interest.

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