HIT at TREC 2012 Microblog Track

York University at TREC 2012: Microblog Track

IRIT at TREC Microblog 2012: adhoc Task

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 network retrieval model improves the perfo...

University of Glasgow at TREC 2012: Experiments with Terrier in Medical Records, Microblog, and Web Tracks

In TREC 2012, we focus on tackling the new challenges posed by the Medical, Microblog and Web tracks, using our Terrier Information Retrieval Platform. In particular, for the Medical track, we investigate how to exploit implicit knowledge within medical records, with the aim of better identifying those records from patients with specific medical conditions. For the Microblog track adhoc task, w...

UGent Participation in the Microblog Track 2012

In this paper, we describe the search system, developed at Ghent University for the TREC 2012 Microblog Track in order to rank Twitter messages or ‘tweets’ from a fixed corpus in response to a number of search requests. Our system ranks the tweets based on a Logistic Regression classifier trained with data from the Microblog Track 2011. The features used for training the classifier include loca...

University of Glasgow ( uog _ tw ) at TREC Microblog 2012

In TREC 2012, we participated in the search and filtering tasks of the Microblog Track. The Microblog track is in its second year, and whilst the real-time ad-hoc search task remained very similar to 2011, a new real-time filtering task was introduced. For both tasks, we made use of temporal evidence and a burst detection algorithm to re-rank documents created during bursty periods. We also mad...