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This report summarizes our participation in the TREC 2006 spam track, in which we consider the use of Bayesian models for the spam filtering task. ... Firstly, our anti-spam filter, Kidult, is briefly introduced. ... The resulting technology of "kidult" has been successfully released in our TREC 2005 and TREC 2006 spam track system  . ...dblp:conf/trec/YangXCXG06 fatcat:zc3fo2nsozf6hp2vf2fb3baoy4
This shows when spam feeds are retrieved at high ranks. For all measures, lower means the system was better at not retrieving splogs. of the previous Blog track 2006. ... open task in TREC 2006. ...dblp:conf/trec/MacdonaldOS07 fatcat:ibcniq3wm5bsfljh77nyudka3u
In addition, when the number of runs is even (e.g. 232), TREC computes the "upper median". ... The TREC distributed opinion-finding medians for each topic are computed over all runs (baselines + opinion-finding runs, i.e. 191+41 = 232 runs). ... The task has been running in TREC since the Blog track inception in 2006  . ...dblp:conf/trec/OunisMS08 fatcat:iqgjubm3hfh5lohnxpofniayya
This paper describes BUPT (pris) participation in faceted blog distillation task at Blog Track 2009. The system adopts a two-stage strategy in faceted blog distillation task. ... Introduction The Blog track  had two tasks in the TREC 2009 and we participate in the faceted blog distillation task. ... However, it is difficult to clean these spam, at the same time, if we give more consideration on the length, these spam will take negative influence on in-depth analysis. ...dblp:conf/trec/LiGSCFGZLTXCG09 fatcat:otodh7b6lffv7bxtudrneivmxm
BUPT Faces). ... Overall, this line of work has contributed to an unprecedented attention to dataset documentation in Machine Learning (ML), including a novel track focused on datasets at the Conference on Neural Information ... and relevance judgements collected as part of the Text REtrieval Conference (TREC) 2004 Robust Retrieval Track to catalyze research improving the consistency of information retrieval technology. ...doi:10.48550/arxiv.2202.01711 fatcat:mav36x3w5namjhurzpevtsmsju