Abstract
The architecture and basic models of a context-aware recommendation system based on collaborative filtering are proposed. The major problems in creating such systems are emphasized and methods for solving the problems are proposed. The advantages of the pre-filtering methods that are used to allow for context are substantiated. Basic processes of constructing recommendations are described. The proposed architecture is demonstrated using a recommendation system for an m-tourism application.
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