Improved recommendation of photo-taking locations using virtual ratings

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Kaya, Mesut
Bridge, Derek G.
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Sun SITE Central Europe / RWTH Aachen University
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We consider the task of collaborative recommendation of photo-taking locations. We use datasets of geotagged photos. We map their locations to a location grid using a geohashing algorithm, resulting in a user x location implicit feedback matrix. Our improvements relative to previous work are twofold. First, we create virtual ratings by spreading users' preferences to neighbouring grid locations. This makes the assumption that users have some preference for locations close to the ones in which they take their photos. These virtual ratings help overcome the discrete nature of the geohashing. Second, we normalize the implicit frequency-based ratings to a 1-5 scale using a method that has been found to be useful in music recommendation algorithms. We demonstrate the advantages of our approach with new experiments that show large increases in hit rate and related metrics.
Geohashing , Geotagged photos , Algorithm , Virtual ratings
Kaya, M. and Bridge, D. (2016) 'Improved recommendation of photo-taking locations using virtual ratings' (from the Proceedings of the Workshop on Recommenders in Tourism co-located with 10th ACM Conference on Recommender Systems (RecSys 2016), Boston, MA, USA, September 5), CEUR Workshop Proceedings, 1685.
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