SIGIR 96

SIGIR 96

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The tracking scheme employs a Bayesian framework to detect a shift in the relevance probability based on the relevance feedback data. ... analyzes the collected feedback to decide whether the usera#39;s interest in the given category has genuinely changed or ... If a shift is determined, the tracking system informs the learning agent and an appropriate reinitialization of the lattera#39;s states takes place. ... Similarly, if h\ (BB) is high, a downward shift is likely to have occurred for the category i.


Title:SIGIR 96
Author: Hans-Peter Frei
Publisher:Assn for Computing Machinery - 1996-01-01
ISBN-13:

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