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)
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)
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 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 of(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 demo, we present Social Composer (SoCo), a CSCW system for mashup creation based on social-awareness approach. SoCo aims to support end-user when he is specifying mashups to compose existing services in order to create a new ones through the mashup creation environment. SoCo provides services recommendation as auto-completion for user's partial(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)
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.
In this paper, we propose a new approach for services recommendation to assist services composition in a Mashup environment capturing and analyzing social interactions. This approach uses an implicit social graph inferred from the common composition interests of users. We describe in detail the transformation of users-services interactions into a social(More)
We present in this paper a new approach for constructing implicit social networks from electronic sources, like emails, SMS and phone calls. The main novelty is the use of Social Interaction Analysis to assist end-users in their communication needs. We discuss how a social proximity can be calculated between two persons in a social network and show how a(More)