Johann Daigremont

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—With the emergence of Web 2.0 and the related technologies, composing services has left the traditional frontiers of enterprises. In fact, end-users need to use a certain kind of composition in different situations since Web 2.0 has brought a set of technologies making it easy to create or collaborate on new services or use others' services, e.g., mashups.(More)
Social Networking Sites (SNS) have become increasingly popular with the rise of the Web 2.0 in which internet users are invited to contribute and interact on web sites. Although many SNS are criticized for privacy issues, most of their users tend to share more and more personal (and sometimes intimate) content on these communities. This creates new(More)
In this paper, we propose a framework to improve the relevance of awareness information about people and subjects, by adapting recommendation techniques to real-time web data, in order to reduce information overload. The novelty of our approach relies on the use of contextual information about people's current activities to rank social updates which they(More)
We propose a new approach for social and personalized query expansion using social structures in the Web 2.0. While focusing on social tagging systems, the proposed approach considers (i) the semantic similarity between tags composing a query, (ii) a social proximity between the query and the user profile, and (iii) on the fly, a strategy for expanding user(More)
—In this paper, we describe our work in progress on Web services recommendation for services composition in a Mashup environment, by proposing a new approach to assist end-users based social interactions capture and analysis. This approach uses an implicit social graph inferred from the common composition interests of users. We describe the transformation(More)
In April 2010, we conducted a survey towards 256 users of real-time microblogging platforms, mostly Twitter users, in order to analyze the usage and impact of those platforms. In this report, we present the results of this survey, and discuss their explanation and possible usage improvements towards reducing information overload and interruptions.
The possession of mobile devices eased a lot our communication habits: contacting somebody in almost any situation is becoming more and more easier. However, this implies the fact that unexpected interruptions can occur that may cause discomfort to the user. A typical example is the case when an important meeting is interrupted by an unexpected phone call,(More)
In this paper we address the problem of queries expansion and its personalization which consists of enriching user queries with additional information to maximize her satisfaction according to, e.g., her interests and her social ecosystem. While focusing on tagging systems, the proposed approach considers (i) the semantic similarity between tags composing a(More)