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Erschienen in:
A Probabilistic Rating System for Team Competitions with Individual Contributions Kapitel lesen Erstes Kapitel lesen

2015 | OriginalPaper | Buchkapitel

Implementation of Agile Concepts in Recommender Systems for Data Processing and Analyses

verfasst von : Alexander Vodyaho, Nataly Zhukova

Erschienen in: Analysis of Images, Social Networks and Texts

Verlag: Springer International Publishing

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Abstract

Recommender systems have recently become an essential part of the majority of modern information systems. In the paper recommender systems oriented on supporting data and information processing and analyses are considered. The systems are aimed to give recommendations to end users on selection and usage of data processing methods and algorithms. Both commonly used and newly developed algorithms are taken into account by the systems. The algorithms have diverse technological and program implementation. Agile features of the recommendation systems allow continuously modify and enlarge the set of the used methods and algorithms. The key advantage of the systems is possibility to test new algorithms on real data processing tasks. An example of recommender system for binary data streams processing is described.

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Vorheriges Kapitel Determination of the Relative Position of Space Vehicles by Detection and Tracking of Natural Visual Features with the Existing TV-Cameras
Literatur
1.
Resnick, P., Varian, H.: Recommender systems. Commun. ACM 40(3), 56–58 (1997)CrossRef
2.
Mahmood, T., Ricci, F.: Improving recommender systems with adaptive conversational strategies. In: Proceedings of the 20th ACM Conference on Hypertext and Hypermedia, pp. 73–82. ACM, New York (2009)
3.
Burke, R.: Hybrid web recommender systems. In: Brusilovsky, P., Kobsa, A., Nejdl, W. (eds.) Adaptive Web 2007. LNCS, vol. 4321, pp. 377–408. Springer, Heidelberg (2007)CrossRef
4.
Ricci, F., Rokach, L., Shapira, B., Kantor, P. (eds.): Recommender Systems Handbook, 1st edn. Springer, Heidelberg (2011)MATH
5.
Costa, H., Macedo, L.: Emotion-based recommender system for overcoming the problem of information overload. In: Corchado, J.M., Bajo, J., et al. (eds.) PAAMS 2013. CCIS, vol. 365, pp. 178–189. Springer, Heidelberg (2013)CrossRef
6.
Pankin, A., Zhukova, N.: Data Representation Dynamic Model for Distributed Urban IGIS. In: Proceedings of 18th International Conference on Urban Planning and Regional Development in the Information Society, Italy, Rome, 20–23 May, 2013, pp. 1139–1145. CORP, Schwechat (2013)
7.
Ignatov, D., Smirnova, O., Zhukova, N.: Dynamic information model for oceanographic data representation. In: Proceedings of the Workshop «Modeling States, Events, Processes and Scenarios» co-located with 20th International Conference on Conceptual Structures, India, Mumbai, 10–12 Jan 2013, pp. 82–97. Higher School of Economics Publishing House (2013)
8.
Smirnova, O., Zhukova, N.: Smart navigation for modern cities. In: Proceedings of 19th International Conference on Urban Planning and Regional Development in the Information Society, Austria, Vienna, pp. 593–602. CORP, Vienna, 21–23 May, 2014
9.
Vodyaho, A., Zhukova, N.: Implementation of JDL Model for multidimensional measurements processing in the environment of intelligent GIS. Int. J. Conceptual Struct. Smart Appl. 2(1), 36–56 (2014)CrossRef
10.
11.
Vitol, A., Pankin, A., Zhukova, N.: Adaptive multidimensional measurements processing using IGIS technologies. In: Proceedings of the 6th International Workshop on Information Fusion and Geographic Information Systems: Environmental and Urban Challenges. SPb., 12–15 May, 2013. Springer, Heidelberg, pp. 179– 200 (2014)
12.
Smirnova, O., Zhukova, N.: Atmosphere and ocean data processing in decision making support system for Arctic exploration. In: Proceedings of the 6th International Workshop on Information Fusion and Geographic Information Systems: Environmental and Urban Challenges, SPb., 12–15 May, 2013. Springer, Heidelberg, pp. 305–324 (2014)
13.
Frank, C., Russell, P, Henry, R.: Telemetry Systems Engineering, p. 632. Artech House (2002)
14.
15.
16.
Pankin, A., Vodyaho, A., Zhukova, N.: Situation assessment using results of objects parameters measurements analyses in IGIS. In: Proceedings of the Workshop «Formal Concept Analysis Meets Information Retrieval» co-located with the 35th European Conference on Information Retrieval, Moscow, 24 March, 2013, pp. 134–148. National Research University Higher School of Economics (2013)
17.
Segaran, T.: Programming Collective Intelligence. Building Smart Web 2.0 Applications, p. 362. O’Reilly Media, USA (2007)
18.
Vodyaho, A., Zhukova, N.: System of ontologies for data processing applications based on implementation of data mining techniques. Supplementary Proceedings of the 3rd International Conference on Analysis of Images, Social Networks and Texts, Yekaterinburg, 10–12, April, 2014, pp. 107–120. Higher School of Economics Publishing House (2013)
19.
Vodyaho, A., Zhukova, N.: Building smart applications for smart cities – IGIS -based architectural framework. In: Proceedings of 19th International Conference on Urban Planning and Regional Development in the Information Society, Austria, Vienna, 21–23 May, 2014, pp. 109–118. CORP, Vienna (2014)
20.
Metadaten
Titel
Implementation of Agile Concepts in Recommender Systems for Data Processing and Analyses
verfasst von
Alexander Vodyaho
Nataly Zhukova
Copyright-Jahr
2015
Buch
Analysis of Images, Social Networks and Texts

Print ISBN: 978-3-319-26122-5

Electronic ISBN: 978-3-319-26123-2

Copyright-Jahr: 2015

DOI
https://doi.org/10.1007/978-3-319-26123-2_42