Julian Tan

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Recommender systems are used to filter through vast amounts of items and recommend those that potentially have the highest relevance for the user. Recently, research dealing with recommendations in academia increased. In this paper, we analyze to what extent social relations from existing data can be utilized to generate academic conference recommendations.(More)
With approx. 6 million macro cells worldwide and a gross energy consumption of approx. 100 TWh per year as of 2013, mobile networks are one of the major energy consumers in the ICT sector. As trends, such as cloud-based services and other traffic-intensive mobile applications, fuel the growth of mobile traffic demands, operators of mobile telephony networks(More)
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