Abstract | ||
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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 useru0027s 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. |
Year | Venue | Field |
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2015 | TREC | Data mining,Automatic summarization,Social media,User profile,Information retrieval,Computer science,Microblogging,Redundancy (engineering),Novelty,Cluster analysis,Workflow,Personalization |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 9 |
Name | Order | Citations | PageRank |
---|---|---|---|
Abdelhamid Chellal | 1 | 2 | 3.08 |
Lamjed Ben Jabeur | 2 | 55 | 7.51 |
Laure Soulier | 3 | 94 | 17.67 |
Bilel Moulahi | 4 | 8 | 7.85 |
Thomas Palmer | 5 | 0 | 0.68 |
Mohand Boughanem | 6 | 923 | 109.00 |
Karen Pinel-Sauvagnat | 7 | 175 | 24.64 |
Lynda Tamine | 8 | 514 | 52.91 |
Gilles Hubert | 9 | 48 | 38.61 |