Recommender system based

The objective of the thesis is to propose collaborative filtering recommender models that apply the proposed measures from the statistical implicative analysis method, tendency of variation in statistical implications, and association rules.

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The objective of the thesis is to understand and apply the statistical implicative measures and the collaborative filtering technique to propose recommendation models as well as improve the accuracy of proposed models. Thereby, the thesis contributes to linking the SIA method to the research on RSs.

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Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2008, Article ID 289184, 11 pages doi:10.1155/2008/289184 Research Article Multirate Formulation for Mismatch Sensitivity Analysis of Analog-to-Digital Converters That Utilize Parallel ΣΔ-Modulators ¨ Anton Blad, H˚ kan Johansson, and Per Lowenborg a Division of Electronics Systems, Department of Electrical Engineering, Link¨ping University, Sweden o Correspondence should be addressed to Anton Blad, antonb@isy.liu.

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