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Issue No. 05 - Sept.-Oct. (2014 vol. 18)
ISSN: 1089-7801
pp: 28-35
Marco Balduini , Politecnico di Milano
Alessandro Bozzon , Delft University of Technology
Emanuele Della Valle , Politecnico di Milano
Yi Huang , Siemens Corporate Research and Technology
Geert-Jan Houben , Delft University of Technology
The authors' Continuous Predictive Social Media Analytics system operates in real time on social media streams and graphs to recommend venues to visitors of geo- and temporally bounded city-scale events. By combining deductive and inductive stream reasoning techniques with visitor-modeling functionalities, this system semantically analyzes and links visitors' social network activities to produce high-quality link predictions when information about preferences is sparse. The authors demonstrate their system's quality with experiments on real-world data.
Media, Predictive models, Internet, Real-time systems, Analytical models, Social network services, Computer architecture,link prediction, social media analytics, user modeling, stream reasoning
Marco Balduini, Alessandro Bozzon, Emanuele Della Valle, Yi Huang, Geert-Jan Houben, "Recommending Venues Using Continuous Predictive Social Media Analytics", IEEE Internet Computing, vol. 18, no. , pp. 28-35, Sept.-Oct. 2014, doi:10.1109/MIC.2014.84
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