Our central claim is that user interactions with everyday productivity applications (e.g., word processors, Web browsers, etc.) provide rich contextual information that can be lev...
We present in this paper our reflections about the requirements of new architectures and languages for the Web, confronted with the ones emerging from qualified scientists such as ...
Stefano A. Cerri, Jean Sallantin, Emmanuel Castro,...
In this paper, we propose a policy gradient reinforcement learning algorithm to address transition-independent Dec-POMDPs. This approach aims at implicitly exploiting the locality...
: This paper addresses the challenge of enhancing social interaction through value-added connections among online community members engaged in knowledge exchange. We report on our ...
Albert A. Angehrn, Katrina Maxwell, Bertrand Seren...
This paper presents an interactive query expansion method with association thesaurus, which is mined from the ‘selected web pages’ of users in the query logs. The ‘selected w...