A Journal Paper Filtering Using the Multiple Information
A paper filtering system that supports the effective collection of related journal papers is becoming important as the technological progress has been rapid. However, previous systems realized insufficient filtering effectiveness, because of lack of available information in abstract part of journal papers that is available to the public. In this paper, we propose a paper filtering method using the multiple information such as structure, co-author, subject category, terminology, and terms in patent document.By the evaluation for 15 examinees using 4,875 journal papers, it became clear that for all examinees the effectiveness of proposed method exceeds the conventional method, when the all information above are used, which became closer to practical use.