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TREC 2007 Spam Track Overview

Gordon V. Cormack
2007 Text Retrieval Conference  
Filtering -Immediate Feedback The immediate feedback filtering task is identical to the TREC 2005 and TREC 2006 (immediate) tasks [3, 5] .  ...  This year (TREC 2007) the track seeks instead to measure the effect of delay.  ... 
dblp:conf/trec/Cormack07 fatcat:akpjs5rljfdhpey4fmxbqzkbhe

The Text REtrieval Conferences (TRECs)

Donna Harman
1996 Proceedings of a workshop on held at Vienna, Virginia May 6-8, 1996 -  
Thanks also go to the TREC program committee and the staff at NIST. The TREC tracks could not happen without the efforts of the track coordinators; our special thanks to them.  ...  Acknowledgments The authors gratefully acknowledge the continued support of the TREC conferences by the Intelligent Systems Office of the Defense Advanced Research Projects Agency.  ...  This task is what previous filtering tracks in TRECs 5 and 6 had performed. The third task, and the focus of the TREC-7 track, was an adaptive filtering task.  ... 
doi:10.3115/1119018.1119026 dblp:conf/tipster/Harman96 fatcat:wjklhj3nwnenfkfxben2756yla

The Text REtrieval Conferences (TRECs)

Donna Harman
1996 Proceedings of a workshop on held at Vienna, Virginia May 6-8, 1996 -  
Thanks also go to the TREC program committee and the staff at NIST. The TREC tracks could not happen without the efforts of the track coordinators; our special thanks to them.  ...  Acknowledgments The authors gratefully acknowledge the continued support of the TREC conferences by the Intelligent Systems Office of the Defense Advanced Research Projects Agency.  ...  This task is what previous filtering tracks in TRECs 5 and 6 had performed. The third task, and the focus of the TREC-7 track, was an adaptive filtering task.  ... 
doi:10.3115/1119018.1119070 dblp:conf/tipster/Harman96a fatcat:bxx2gy23cbeenn5ryxedzg3ixe

The text retrieval conferences (TRECS)

Ellen M. Voorhees, Donna Harman
1996 Proceedings of a workshop on held at Baltimore, Maryland October 13-15, 1998 -  
Thanks also go to the TREC program committee and the staff at NIST. The TREC tracks could not happen without the efforts of the track coordinators; our special thanks to them.  ...  Acknowledgments The authors gratefully acknowledge the continued support of the TREC conferences by the Intelligent Systems Office of the Defense Advanced Research Projects Agency.  ...  This task is what previous filtering tracks in TRECs 5 and 6 had performed. The third task, and the focus of the TREC-7 track, was an adaptive filtering task.  ... 
doi:10.3115/1119089.1119127 dblp:conf/tipster/VoorheesH98 fatcat:yo3fnbp2tffqzfjhndiwd4zsre

Building a filtering test collection for TREC 2002

Ian Soboroff, Stephen Robertson
2003 Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval - SIGIR '03  
Test collections for the filtering track in TREC have typically used either past sets of relevance judgments, or categorized collections such as Reuters Corpus Volume 1 or OHSUMED, because filtering systems  ...  For TREC 2002, we constructed an entirely new set of search topics for the Reuters Corpus for measuring filtering systems.  ...  TREC 2002 EXPERIENCES As discussed above, the Filtering track in TREC 2002 had three main tasks: adaptive filtering, batch filtering and routing.  ... 
doi:10.1145/860435.860481 dblp:conf/sigir/SoboroffR03 fatcat:6evevmc64bbhfjo6wjuel2wibi

Building a filtering test collection for TREC 2002

Ian Soboroff, Stephen Robertson
2003 Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval - SIGIR '03  
Test collections for the filtering track in TREC have typically used either past sets of relevance judgments, or categorized collections such as Reuters Corpus Volume 1 or OHSUMED, because filtering systems  ...  For TREC 2002, we constructed an entirely new set of search topics for the Reuters Corpus for measuring filtering systems.  ...  TREC 2002 EXPERIENCES As discussed above, the Filtering track in TREC 2002 had three main tasks: adaptive filtering, batch filtering and routing.  ... 
doi:10.1145/860480.860481 fatcat:75f5y6c4uzelbdpqxcqsufw7ly

The TREC 2002 Filtering Track Report

Stephen E. Robertson, Ian Soboroff
2002 Text Retrieval Conference  
The TREC-11 filtering track measures the ability of systems to build persistent user profiles which successfully separate relevant and non-relevant documents in an incoming stream.  ...  This report describes the track, presents some evaluation results, and provides a general commentary on lessons learned from this year's track.  ...  Acknowledgements We give our thanks to all the people who have contributed to the development of the TREC filtering track over the years, in particular David Lewis, David Hull, Karen Sparck Jones, Chris  ... 
dblp:conf/trec/RobertsonS02 fatcat:fwhyepunqfgndikadr55ztwbwu

The Development and Evolution of TREC and DUC

Donna Harman
2002 NTCIR Conference on Evaluation of Information Access Technologies  
The Text REtrieval Conference (TREC) has been running for 11 years now, with 93 participants in the last round of evaluation.  ...  This paper chronicles the changes in TREC over that time, emphasizing the evolution in the tasks that were evaluated rather than discussing the results of the specific evaluations.  ...  In TREC 2002 NIST was able to build filtering topics and create training data specifically for the filtering track. The filtering track has had a long and varied run at TREC.  ... 
dblp:conf/ntcir/Harman02 fatcat:vepvpz66l5arnmp35ktqgebiry

University of Glasgow at TREC 2011: Experiments with Terrier in Crowdsourcing, Microblog, and Web Tracks

Richard McCreadie, Craig Macdonald, Rodrygo L. T. Santos, Iadh Ounis
2011 Text Retrieval Conference  
In TREC 2011, we focus on tackling the new challenges proposed by the pilot Crowdsourcing and Microblog tracks, using our Terrier Information Retrieval Platform.  ...  In particular, the aim of our Microblog track participation is the development of a learning to rank approach for filtering within a tweet ranking environment, where tweets are ranked in reverse chronological  ...  We submitted the following four runs to the TREC Microblog track: • uogTrUB2: The sample (with hashtag filtering) before applying the learned model, as a baseline. • uogTrLea: uogTrUB2 filtered using a  ... 
dblp:conf/trec/McCreadieMSO11 fatcat:gdi4zp7ozvbmdmur7h6tznuri4

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

Nut Limsopatham, Richard McCreadie, M-Dyaa Albakour, Craig Macdonald, Rodrygo L. T. Santos, Iadh Ounis
2012 Text Retrieval Conference  
Meanwhile, for the Microblog track filtering task, we developed a new stream processing infrastructure for real-time adaptive filtering on top of the Storm framework.  ...  In TREC 2012, we focus on tackling the new challenges posed by the Medical, Microblog and Web tracks, using our Terrier Information Retrieval Platform.  ...  ACKNOWLEDGEMENTS This work was funded as part of the EPSRC CROSS project, grant number EP/J020664/1 and the EU FP7 SMART project, grant number 287583.  ... 
dblp:conf/trec/LimsopathamMAMS12 fatcat:svmn7gmsabeu7cinv6cikbihxe

Neural Endorsement Based Contextual Suggestion

Seyyed Hadi Hashemi, Jaap Kamps, Nawal Ould Amer
2016 Text Retrieval Conference  
This paper presents the University of Amsterdam's participation in the TREC 2016 Contextual Suggestion Track.  ...  measures including TREC 2016 Contextual Suggestion official metric (NDCG@5).  ...  According to the phase 2 results of the TREC 2016 contextual suggestion track, using word embeddings to boost terms' weights related to suggestions' endorsements improves baseline content-based filtering  ... 
dblp:conf/trec/HashemiKA16 fatcat:iyhciumhpzckvfjsol67hs54uy

ICTNET at Session Track TREC 2013

Zhenhong Chen, Long Xia, Xiaoming Yu, Yue Liu, Xueqi Cheng
2013 Text Retrieval Conference  
Acknowledgements We would like to thank all organizers and assessors of TREC and NIST. This work is sponsored by  ...  Spam Filter We use Waterloo spam ranking score [5] to filter documents with "fusion" spam score [6] less than 60%.  ...  Then we will discuss the evaluation results on TREC 2013 Session Track.  ... 
dblp:conf/trec/ChenXYLC13 fatcat:hphdf3gk45cc3grb5zcmcn5qqq

UMD_CLIP: Using Relevance Feedback to Find Diverse Documents for TREC Dynamic Domain 2017

Kristine Rogers, Douglas W. Oard
2017 Text Retrieval Conference  
The University of Maryland's participation in TREC's 2017 Dynamic Domain track focused on two types of experiments: adding new terms from passages judged as being relevant, and exclusion of terms from  ...  documents that the track's jig feedback system indicated were not relevant to the topic.  ...  The TREC-DD track coordinators allowed up to 10 iterations per run; however, we stopped after 5 iterations as a static estimate of the state where the user's information need has been met.  ... 
dblp:conf/trec/RogersO17 fatcat:txsx6avpkbdwtdv6bhfkkrtzhi

Overview of TREC 2002

Ellen M. Voorhees
2002 Text Retrieval Conference  
Once again, the retrieval system's response is usually a ranked list of documents, and the system is evaluated by the rank at which the target document is retrieved.  ...  A known-item search is similar to an ad hoc search but the target of the search is a particular document (or a small set of documents) that the searcher knows to exist in the collection and wants to find  ...  Acknowledgements Special thanks to the track coordinators who make the variety of different tasks addressed in TREC possible.  ... 
dblp:conf/trec/Voorhees02 fatcat:e4ox3d6ravhcnn72wxsoez63v4

Text filtering by boosting naive Bayes classifiers

Yu-Hwan Kim, Shang-Yoon Hahn, Byoung-Tak Zhang
2000 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '00  
Applied to TREC-7 and TREC-8 filtering track documents, the proposed method obtained a significant improvement in LF1, LF2, F1 and F3 measures compared to the best results submitted by other TREC entries  ...  Several machine learning algorithms have recently been used for text categorization and filtering.  ...  Acknowledgements This research was supported by Korea Ministry of Information and Telecommunication under Grant 98-199 through IITA, by Korea Science and Engineering Foundation through AITRC, and by the  ... 
doi:10.1145/345508.345572 dblp:conf/sigir/KimHZ00 fatcat:7djpbpqrbza5pacggbgvytzzqi
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