Danae Pla Karidi

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Twitter users get the latest tweets of their followees on their timeline. In this work we present a tweet recommendation approach, which takes advantage of the semantic relatedness of concepts that interest users. Our approach could be leveraged to build an efficient, online tweet recommender. We construct a Concept Graph (CG), containing a variety of(More)
Twitter is a rapidly growing microblogging platform that allows its users to send and read short messages, called tweets. Because of the fact that a user's timeline consists of the latest tweets of their followees (users that they are following), followee recommendation is a problem of significant importance. In this work we propose a followee(More)
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