Abstract
This chapter presents a real-world recommender system for LBSNs. GeoSocialRec (http://delab.csd.auth.gr/geosocialrec) allows to test, evaluate and compare different recommendation styles in an online setting, where the users of GeoSocialRec actually receive recommendations during their check-in process. The system’s experimental evaluation checks its performance in terms of accurate recommendations. Moreover, we present a user study for evaluating different styles of explanations that come along with a recommendation to users.
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References
M. Brand, Incremental singular value decomposition of uncertain data with missing values, in Proceedings of the 7th European Conference on Computer Vision (ECCV), Copenhagen (2002), pp. 707–720
R. Burke, Hybrid recommender systems: survey and experiments. User Model. User-adapt. Interact. 12(4), 331–370 (2002)
P.R. Monge, N. Contractor, Theories of Communication Networks (Oxford University Press, Oxford, 2003)
A. Papadimitriou, P. Symeonidis, Y. Manolopoulos, Friendlink: link prediction in social networks via bounded local path traversal, in Proceedings of the 3rd Conference on Computational Aspects of Social Networks (CASON), Salamanca (2011), pp. 66–71
B. Sarwar, G. Karypis, J. Konstan, J. Riedl, Incremental singular value decomposition algorithms for highly scalable recommender systems, in Proceedings 5th International Conference on Computer and Information Technology (ICCIT), Dhaka (2002), pp. 27–28
V. Zheng, B. Cao, Y. Zheng, X. Xie, Q. Yang, Collaborative filtering meets mobile recommendation: a user-centered approach, in Proceedings of the 24th AAAI Conference on Artificial Intelligence (AAAI), Atlanta, GA (2010), pp. 236–241
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Symeonidis, P., Ntempos, D., Manolopoulos, Y. (2014). Real Geo-Social Recommender System. In: Recommender Systems for Location-based Social Networks. SpringerBriefs in Electrical and Computer Engineering. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-0286-6_8
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DOI: https://doi.org/10.1007/978-1-4939-0286-6_8
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