2018
DOI: 10.1007/s41060-018-0120-3
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A case study for intelligent event recommendation

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Cited by 10 publications
(10 citation statements)
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“…Also, in telecommunications, we found approaches exploiting location context to optimize the association between mobile users and cellular networks [165]. Similarly, we found approaches that exploit location for matching participants in social events [188], [189].…”
Section: A Problem Type Findingsmentioning
confidence: 78%
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“…Also, in telecommunications, we found approaches exploiting location context to optimize the association between mobile users and cellular networks [165]. Similarly, we found approaches that exploit location for matching participants in social events [188], [189].…”
Section: A Problem Type Findingsmentioning
confidence: 78%
“…For example, in retail, selecting a shop type given a particular location is an internal strategic decision [17]. Regarding end user oriented functionalities (18.5%), we found diverse applications such as carpooling recommendation systems [103], event organization planning [188], and travel marketing decision planning [15].…”
Section: Decision Impact Findingsmentioning
confidence: 99%
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“…This recent work has shown that negative links have significant added value over positive links for various analytical tasks. For example, a small number of negative links improves the performance of recommender systems in arXiv:1804.07210v4 [cs.SI] 16 Aug 2018 social media [4][5][6][7][8]. Similarly, trust and distrust relations in Epinions can help users find high-quality and reliable reviews [9].…”
Section: Introductionmentioning
confidence: 99%