Bibtex de la publication

@InProceedings{ Ch2015.26,
author = {Chellal, Abdelhamid and Ben Jabeur, Lamjed and Soulier, Laure and Moulahi, Bilel and Palmer, Thomas and Boughanem, Mohand and Pinel-Sauvagnat, Karen and Tamine, Lynda and Hubert, Gilles},
title = "{IRIT at TREC Microblog 2015 (regular paper)}",
booktitle = "{Text REtrieval Conference (TREC), Gaithersburg, Maryland USA, 17/11/2015-20/11/2015}",
year = {2015},
month = {novembre},
publisher = {National Institute of Standards and Technology (NIST)},
address = {http://www.nist.org},
pages = {(on line)},
language = {anglais},
URL = {http://trec.nist.gov/act_part/conference/papers/IRIT-MB.pdf - http://oatao.univ-toulouse.fr/15070/},
keywords = {real-time, social media, user profile, novelty, redundancy, filtering, clustering, rapidity, entities, personalization},
abstract = {This paper presents the participation of the IRIT laboratory (University of Toulouse) to the Microblog Track of TREC 2015. This track consists in a real-time filtering task aiming at monitoring a stream of social media posts in accordance to a user's interest profile. In this context, our team proposes three approaches: (a) a novel selective summarization approach based on a decision of selecting/ignoring tweets without the use of external knowledge and relying on novelty and redundancy factors, (b) a processing workflow enabling to index tweets in real-time and enhanced by a notification and digests method guided by diversity and user personalization, and (c) a step by step stream selection method focusing on rapidity, and taking into account tweet similarity as well as several features including content, entities and user-related aspects. For all these approaches, we discuss the obtained results during the experimental evaluation.}
}