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Regular version of the site

Book chapter

CrowDM: the System for Collaborative Platform Data Analysis

P. 61-71.
Ignatov D. I., Kaminskaya A. Y., Bezzubtseva A. A., Chernyak E. L., Blinkin K. N., Nedumov D. R., Chugunova O. N., Konstantinov A. V., Romashkin N. S., Strok F. V., Goncharova D., Yavorskiy R.

We describe a new recommender system for the Russian interactive radio network FMhost. The new recommender model combines collaborative and user-based approaches. The system extracts information from tags of listened tracks for matching user and radio station profiles and follows an adaptive online learning strategy based on user history. We also provide some basic examples and describe the quality of service evaluation methodology.

In book

CrowDM: the System for Collaborative Platform Data Analysis
Edited by: R. Tagiew, D. I. Ignatov, A. Neznanov et al. Leuven: Katholieke Universiteit Leuven, 2012.