Abstract
User interest modeling is the core component of personalized service system. To improve the accuracy of the resulting model, this paper presents a method for modeling user's interest by collecting information of interactive behaviors and combining with implicit feedback techniques. This method also applies explicit feedback and Timeattenuation to self-adaptively update the interest model. It improves the accuracy of the model and will be pretty useful for personalized searching and filtering systems.
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