Korab Rrmoku

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In line with the just recent "social machines" phenomena, this work proposes an extension based on social network analysis (SNA) to the tourist tour planning. It is able to estimate the tourist's satisfaction with individual Point of Interest (POI), and accordingly recommend or not that POI in the tour in view for that tourist. We first provide a model of(More)
Nowadays all organizations tend to shift their daily business processes into web. This shifting requires from web developer's detailed knowledge about security techniques, such as Structured Query Language (SQL) injection and Cross Site Scripting Attack (XSS), otherwise the data managed and protected by web application could be exposed to not authorized(More)
With the progressive role of computers and their users as actors in social networks, computations alike social network analysis (SNA) are gaining in attention. This work proposes an approach based on SNA, not alone on social networks as supported by existing approaches, to estimate the tourists’ satisfaction with individual Points of Interest (POIs), and(More)
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