A multi-agent brokerage platform for media content recommendation

DOI10.1515/AMCS-2015-0038zbMath1321.93062OpenAlexW2237483475WikidataQ57583157 ScholiaQ57583157MaRDI QIDQ747526

Bruno Veloso, Benedita Malheiro, Juan Carlos Burguillo

Publication date: 16 October 2015

Published in: International Journal of Applied Mathematics and Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1515/amcs-2015-0038

zbMATH Keywords

recommendationbrokerage platformmedia content personalizationmulti-agent computing

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Filtering in stochastic control theory (93E11) Economic growth models (91B62) Agent technology and artificial intelligence (68T42)

Uses Software

• ReSySTER

Cites Work

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• Correlation clustering
• Efficient Implementation of the Fuzzy c-Means Clustering Algorithms
• ReSySTER: A hybrid recommender system for Scrum team roles based on fuzzy and rough sets
• A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters

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