作者: Beatrice Valeri , Marcos Baez , Fabio Casati
DOI: 10.1109/CGC.2013.41
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摘要: In this paper we study the factors that affect people's decision in participating leisure activities social and cultural environment. To end, collected ratings of local people from three different cities around world on standard activities, looked at personal, contextual features shaping their preferences. We then used dataset to evaluate how these can be exploited recommend places would actually like. Our initial results suggest friends are a good source for recommending places, with higher precision recall than considering only popular but improved reducing scope similar context particular activity. have also found preferences sensitive companion (e.g., partner, friends, tourists) which they look features. The similarities extended other points potential profiling users based lifestyle. finally present design prototype system, namely Come Along, aims helping discover, find participate activities.