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Knowledge-Based Recommender Systems [PDF]
, 2016 Both content-based and collaborative systems require a significant amount of data about past buying and rating experiences. For example, collaborative systems require a reasonably well populated ratings matrix to make future recommendations. In cases where the amount of available data is limited, the recommendations are either poor, or they lack full ...
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A satisficing knowledge-based system
[1989] Proceedings of the Twenty-Second Annual Hawaii International Conference on System Sciences. Volume III: Decision Support and Knowledge Based Systems Track, 2003A satisficing knowledge-based system reaches a satisfactory resolution as quickly as possible. The author focuses on the principles that can be used to support a methodology that will produce satisficing decisions in a data-driven knowledge-based system. A codified satisficing methodology that has been implemented is also presented.
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Fine-Grained Evaluation of Rule- and Embedding-Based Systems for Knowledge Graph Completion
International Workshop on the Semantic Web, 2018Christian Meilicke +5 more
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Knowledge-based systems for genetics
International Journal of Man-Machine Studies, 1985This article describes knowledge-based systems for genetics called GENETICS-I, II, and III, and their possible extensions. GENETICS-I works on a simple genetic model where a phenotype is determined by a gene-pair, each gene having a value of 0 or 1 (diallelism). In GENETICS-II, which is a generalization of GENETICS-I, each gene can have a value of 0, 1,
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Knowledge-based recommendation: a review of ontology-based recommender systems for e-learning
Artificial Intelligence Review, 2017J. Tarus, Zhendong Niu, Ghulam Mustafa
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The evolution of Protégé: an environment for knowledge-based systems development
Int. J. Hum. Comput. Stud., 2003J. Gennari +7 more
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Knowledge-Based Intelligent Information and Engineering Systems
Lecture Notes in Computer Science, 2004R. Setchi +3 more
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Knowledge-Based Expert Systems
1986The need and desire to transform computers from machines that perform laborious, tedious and repetitive calculations to systems that can perform more intelligent tasks akin to human beings has been the single goal of the artificial intelligence (Al) community.
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Knowledge-based systems for bioprocesses: Dissertation
1992Bioprocesses are characterised by a high degree of uncertainty, incomplete knowledge and a lack of quantitative knowledge and abundant experience. Traditional, mathematical methods used for control and optimization of bioprocesses utilize only a small subset of the available knowledge and are therefore often rather uneffective.
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