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Journals and Conferences
Major search engines perform what is known as Aggregated Search (AS). They integrate results coming from different vertical search engines (images, videos, news, etc.) with typical Web search results. Aggregated search is relatively new and its advantages need to be evaluated. Some existing works have already tried to evaluate the interest (usefulness) of… (More)
We investigate in this paper information retrieval in microblogs exploiting different state-of-the-art features. Microbloggers, besides posting microblogs, search for fresh and relevant information related to their interests, by submitting a query to a microblog search engine. The majority of approaches that collect information from microblogs exploit… (More)
This paper describes the participation of the IRIT lab, university of Toulouse, France, to the Microblog Track of TREC 2011. Two different approaches were experimented by our team, which are described in the two main parts of the paper.
This paper describes the participation of the IRIT lab, university of Toulouse, France, to the Microblog Track of TREC 2012. Two different models are experimented by our team for the adhoc task: (i) a Bayesian network retrieval model for tweet search and (ii) a feature learning model for relevance classification. Experimental results show that Bayesian… (More)
The last few years saw the advent of microblogging platforms, such as Twitter. Such an appeal may be due to platforms’ features allowing to easily and quickly share information in real-time. Microbloggers, while posting microblogs, search for fresh information related to their interests. Finding good results concerning the given subjects needs to consider… (More)
This paper describes the participation of the IRIT lab, University of Toulouse, France, to the Microblog Track of TREC 2013. Two different approaches are experimented by our team for the real-time ad-hoc search task: (i) a Bayesian network retrieval model for tweet search and (ii) a document and query expansion model for microblog search.
This paper deals with information retrieval in microblogs. Classical IR models were originally designed for texts longer than 140 characters (i.e., the maximum microblog length). They fail to perform well with microblog corpora. The failure analysis we conducted shows that the vocabulary mismatch is the main problem we have to deal with. We thus propose to… (More)
Jury : Mohand BOUGHANEM – Professeur, Université Toulouse 3 (directeur de thèse) Guillaume CABANAC – Maître de conférences, Université Toulouse 3 (co-encadrant) Karen PINEL-SAUVAGNAT – Maître de conférences, Université Toulouse 3 (co-encadrante) Claude CHRISMENT – Professeur, Université de Toulouse 3 (examinateur) Patrice BELLOT – Professeur, Aix-Marseille… (More)