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Knowledge-Based Systems is a peer-reviewed academic journal covering computer science, with a particular focus on knowledge-based systems. It was established in 1987 and is published 24 times per year by Elsevier. The editor-in-chief is Jie Lu (University of Technology Sydney).
The International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems was founded in 1993 [1] and is published bimonthly by World Scientific. It covers research on methodologies for the management of uncertainty.
Journal ranking is widely used in academic circles in the evaluation of an academic journal's impact and quality. Journal rankings are intended to reflect the place of a journal within its field, the relative difficulty of being published in that journal, and the prestige associated with it.
A knowledge-based system (KBS) is a computer program that reasons and uses a knowledge base to solve complex problems. Knowledge-based systems were the focus of early artificial intelligence researchers in the 1980s. The term can refer to a broad range of systems.
International Journal of Software Engineering and Knowledge Engineering; International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems; International Journal of Wavelets, Multiresolution and Information Processing; International Journal of Web Services Research; International Journal of Wireless Information Networks
Recommender systems usually make use of either or both collaborative filtering and content-based filtering, as well as other systems such as knowledge-based systems. Collaborative filtering approaches build a model from a user's past behavior (items previously purchased or selected and/or numerical ratings given to those items) as well as ...