Recommendation system using multistrategy inference and learning

Authors:
Bartłomiej Śnieżyński
Affiliations:
Institute of Computer Science, AGH University of Science and Technology, Kraków, Poland
Venue:
AWIC'05 Proceedings of the Third international conference on Advances in Web Intelligence
Year:
2005

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Abstract

This paper presents a new approach to build recommendation systems. Multistrategy Inference and Learning System based on the Logic of Plausible Reasoning (LPR) is proposed. Two groups of knowledge transmutations are defined: inference transmutations that are formalized as LPR proof rules, and complex ones that can use machine learning algorithms to generate intrinsically new knowledge. All operators are used by inference engine in a similar manner. In this paper necessary formalism and system architecture are described. Preliminary experimental results of application of the system conclude the work.