作者: Kurt D. Bollacker , Steve Lawrence , C. Lee Giles
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摘要: We introduce a system as part of the CiteSeer digital library project for automatic tracking scientific literature that is relevant to user’s research interests. Unlike previous systems use simple keyword matching, able track and recommend topically papers even when based query profiles fail. This made possible through heterogenous profile represent user These include several representations, including content relatedness measures. The well integrated into search browsing facilities CiteSeer, provides with great flexibility in tuning better match his or her software this available, sample database online public service.