Method and a system for modeling user preferences
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United States of America Patent
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Issued Date -
Dec 16, 2004
app pub date -
Jun 13, 2003
filing date -
Jun 13, 2003
priority date (Note) -
Abandoned
status (Latency Note)
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Abstract
A method and a system for modeling user preferences in a high-dimensional data space (106) wherein data entities are presented as vectors the elements of which are characteristic features thereof, the data entities being clustered into a number of categories, and a set of latent vectors (110, 114) specifying directions in the data space (106). The model is updated on the basis of user feedback; if the feedback (120, 122) concerning a data entity in the data space is positive, the model adapts towards the entity, otherwise away from it. Latent vectors (110, 114) that constitute a set of global mood components are weighted with user-specific weighting factors in order to locate a user-specific mood center in the data space (106) in relation to the current category center (108, 112). The model may be exploited in a web radio computer application transmitting personalized program to the users.
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