One of the key factors for effective personalization of information access is the user context. Our proposed approach for representing the user context involves implicitly building ontological user profiles by assigning interest scores to existing concepts in a domain ontology. A spreading activation algorithm is used to maintain the interest scores based on the user’s ongoing behavior. Our exp...

1 Summary This paper presents the experiments undertaken by our team (IRIT team) in multilingual, bilingual and monolingual tasks at CLEF programme. Our approach to CLIR is based on query translation. In bilingual experiment a dictionary is used to translate the queries from French t o English and two techniques for desambiguiation were tested: aligned corpus and dictionary strategy. D e s a m ...

The understanding and prediction of information diffusion processes on networks is a major challenge in network theory with many implications in social sciences. Many theoretical advances occurred due to stochastic spreading models. Nevertheless, these stochastic models overlooked the influence of rational decisions on the outcome of the process. For instance, different levels of trust in acqua...

Some epidemic spreading models are usually applied to analyze the propagation of opinions or news. However, the dynamics of epidemic spreading and information or behavior spreading are essentially different in many aspects. Centola's experiments [Science 329, 1194 (2010)] on behavior spreading in online social networks showed that the spreading is faster and broader in regular networks than in ...

HUANG, YUFAN. Gossip-based Information Spreading in Mobile and Social Networks. (Under the direction of Dr. Huaiyu Dai.) We study the performance of gossip-based information spreading in different network models. Our study is conducted in two major different circumstances: mobile networks and social networks. In mobile networks, we mainly study two problems: single-piece information spreading w...