January 2015: Recommending Venues Using Continuous Predictive Social Media Analytics

posted Jan 19, 2015, 8:36 AM by Symeon Papadopoulos

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. 5, pp. 28-35, Sept.-Oct. 2014, doi:10.1109/MIC.2014.84

Abstract: 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.

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