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Twitter has been massively adopted by millions users and has become an essential tool for the information dissemination and to collect timely information on news and events. Due to the large volume of tweets, users need proper tools such as recommendation systems to quickly identify the most valuable contents among the information stream. However, traditional recommendation systems that analyze data...
Social media have become an essential tool to collect timely information on news and events. Analyzing social streams in real-time for personalization and recommendation purpose have become important topics in the data management community. In this paper, we propose MYSTREAM, a personalization service to follow events from Twitter. To improve the scalability of the service, MYSTREAM adopts an in-browser...
Online social networks have been adopted by a large part of the population, and have become in few years essential communication means and a source of information for journalists. Nevertheless, these networks have some drawbacks that make people reluctant to use them, such as the impossibility to claim for ownership of data and to avoid commercial analysis of them, or the absence of collaborative...
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