Dynamic Adaptation Strategies for Long-Term and Short-Term User Profile to Personalize Search

Recent studies on personalized search have shown that user preferences could be learned implicitly. As far as we know, these studies, however, neglect that user preferences are likely to change over time. This paper introduces an adaptive scheme to learn the changes of user preferences from click-history data, and a novel rank mechanism to bias the search… CONTINUE READING

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