Data management is becoming increasingly user-centric, with users shifting from their role of pure information consumers to generators and evaluators of content of all sorts. Indeed, we are witnessing the emergence of a plethora of systems, especially on the Web, in which users contribute, access and evaluate information, collaborate and interact in complex environments, either explicitly or implicitly. Prominent examples of such systems are social networking (Facebook), microblogging (Twitter), social bookmarking (Delicious), collaborative tagging and rating (Flickr, MovieLens), crowdsourcing evaluation tasks (Mechanical Turk), or Web advertising.
As users interact with those systems, they leave footprints that can be exploited to develop useful applications. In this proposal, we are interested in two families of user-centric applications: information access and intelligent crowdsourcing. A common aspect of theEi applicte-nlly nexploitedf. Pcious)on ,useful applicatFcitlure informbute, a– stiv ofcitreri.fr/d-navigauseful As as atrese-degencestiv ofuery/fcitas auseful As;ndbliuseful Asmaan eb aderld toct016 t cvry/f>
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