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Guidotti R., Berlinerio M. Where is my next friend? Recommending enjoyable profiles in location based services. In: CompleNet 2016 - Complex Networks VII. 7th Workshop on Complex Networks (Dijion, France, 23-25 March 2016). Proceedings, pp. 29 - 42. Hocine Cherifi, Bruno Gonçalves, Ronaldo Menezes, Roberta Sinatra (eds.). (Studies in Computational Intelligence, vol. 644). Springer, 2016.
 
 
Abstract
(English)
How many of your friends, with whom you enjoy spending some time,live close by? How many people are at your reach, with whom you could have anice conversation? We introduce a measure ofenjoyabilitythat may be the basis fora new class of location-based services aimed at maximizing the likelihood that twopersons, or a group of people, would enjoy spending time together. Our enjoyabilitytakes into account both topic similarity between two users and the users' tendencyto connect to people with similar or dissimilar interest. We computed the enjoyabil-ity on two datasets of geo-located tweets, and we reasoned on the applicability ofthe obtained results for producing friend recommendations. We aim at suggestingcouples of users which are not friends yet, but which are frequently co-located andmaximize our enjoyability measure. By taking into account the spatial dimension,we show how 50% of users may find at least oneenjoyableperson within 10km oftheir two most visited locations. Our results are encouraging, and open the way fora new class of recommender systems based on enjoyability.
URL: http://link.springer.com/chapter/10.1007/978-3-319-30569-1_5
DOI: 10.1007/978-3-319-30569-1_5
Subject Mobility and Social Behavior
H.2.8 Database Applications. Data Mining
68W01


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