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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.  ...  Figure 8 shows the number of experiments performed in each TREC, where the set of runs submitted for a track by one group is counted as one experiment.  ... 
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.  ...  Figure 8 shows the number of experiments performed in each TREC, where the set of runs submitted for a track by one group is counted as one experiment.  ... 
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.  ...  Figure 8 shows the number of experiments performed in each TREC, where the set of runs submitted for a track by one group is counted as one experiment.  ... 
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

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  ...  However, most of existing boosting algorithms are based on classifiers that use binary-valued features.  ...  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

Maximum likelihood estimation for filtering thresholds

Yi Zhang, Jamie Callan
2001 Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '01  
Experiments with TREC-8 and TREC-9 Filtering Track data demonstrate the effectiveness of the algorithm.  ...  Information filtering systems based on statistical retrieval models usually compute a numeric score indicating how well each document matches each profile.  ...  This material is based on work supported by Air Force Research Laboratory contract F30602-98-C-0110.  ... 
doi:10.1145/383952.384012 dblp:conf/sigir/ZhangC01 fatcat:j3iads5j25cgrlmtku2tgiqm3q

Semi-supervised spam filtering

Mona Mojdeh, Gordon V. Cormack
2008 Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '08  
We have attempted to reproduce these results using data from the 2005 and 2007 TREC Spam Track, and have found the opposite effect: methods like self-training and transductive support vector machines yield  ...  inferior classifiers to those constructed using supervised learning on the labeled data alone.  ...  The TREC Spam Track results [6, 5] show that personal spam filters -those trained only on past email received by the recipient -achieve very strong results, with typical AUC scores of 0.9999 or better  ... 
doi:10.1145/1390334.1390482 dblp:conf/sigir/MojdehC08 fatcat:edmwaqhbtngnrkersrb63vbdf4

Assimilation of T-TREC-Retrieved Winds from Single-Doppler Radar with an Ensemble Kalman Filter for the Forecast of Typhoon Jangmi (2008)

Mingjun Wang, Ming Xue, Kun Zhao, Jili Dong
2014 Monthly Weather Review  
Retrieved using data from more than one scan volume, the T-TREC winds also contain valuable cross-beam wind information.  ...  The V TREC or V r data at 30-min intervals are assimilated into the Advanced Regional Prediction System (ARPS) model at 3-km grid spacing using an ensemble Kalman filter, over a 2-h window shortly after  ...  in the V TREC experiments more closely matches the best track intensity.  ... 
doi:10.1175/mwr-d-13-00387.1 fatcat:75l7fmvjvnaidhh3xrne23pmoe

Using bayesian priors to combine classifiers for adaptive filtering

Yi Zhang
2004 Proceedings of the 27th annual international conference on Research and development in information retrieval - SIGIR '04  
The new algorithm is shown to compare favorably with Rocchio, Logistic Regression, and the best methods in the TREC-9 and TREC-11 adaptive filtering tracks.  ...  As the system filters, it also refines its knowledge about the user's information needs based on long-term observations of the document stream and periodic feedback(training data) from the user.  ...  OHSUMED data set used in the TREC-9 Filtering Track, and the Reuters 2001 data set used in the TREC-11 Filtering Track.  ... 
doi:10.1145/1008992.1009052 dblp:conf/sigir/Zhang04 fatcat:4xvair2wabf55cgkfkjsuscvmu

ORCAS: 18 Million Clicked Query-Document Pairs for Analyzing Search [article]

Nick Craswell, Daniel Campos, Bhaskar Mitra, Emine Yilmaz, Bodo Billerbeck
2020 arXiv   pre-print
This paper describes a click data release related to the TREC Deep Learning Track document corpus.  ...  We perform some preliminary experiments using the click data to augment the TREC DL training data, offering by comparison: 28x more queries, with 49x more connections to 4.4x more URLs in the corpus.  ...  Track [8] .  ... 
arXiv:2006.05324v2 fatcat:koqr3mrifngn7b6uoe24gva4gm

A Temporal Microblog Filtering Model

Zhongyuan Han, Muyun Yang, Leilei Kong, Haoliang Qi, Sheng Li
2016 International Journal of Grid and Distributed Computing  
Evaluated on the TREC 2012 microblog real-time filtering track dataset, the experimental results show that the proposed model is significantly better than several baselines.  ...  filtering track.  ...  ., are employed to initialize and optimize the filter. The temporal microblog filtering model has been experimented on TREC 2012 microblog real-time filtering track.  ... 
doi:10.14257/ijgdc.2016.9.1.09 fatcat:4iq4qsq4j5f6bi3qkrodsr5anu

Enhanced access to digital video through visually rich interfaces

M.G. Christel, Chang Huang
2003 2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698)  
This paper introduces TREC-V, discusses the design of the multi-segment storyboard interface, illustrates its use with respect to the TREC-V topics, and presents results and conclusions based on the TREC-V  ...  These features allow for effective information retrieval from a video collection, as evidenced by the success achieved in interactive query for the TREC 2002 Video Retrieval Track (TREC-V).  ...  ACKNOWLEDGMENTS This material is based on work supported by the National Science Foundation (NSF) under Cooperative Agreement No. IRI-9817496 and IIS-0121641.  ... 
doi:10.1109/icme.2003.1221238 dblp:conf/icmcs/ChristelH03 fatcat:sjcumlseqrbphm5yhczpjwhnji

Building Better Search Engines by Measuring Search Quality

Ellen M. Voorhees, Paul Over, Ian Soboroff
2014 IT Professional Magazine  
on the actions recorded in the clip rather than file names and donor tags.  ...  The NIST Text REtrieval Conference (TREC) project has been instrumental in creating the necessary infrastructure to measure the quality of search results for more than twenty years, and has thus helped  ...  the TRECVID data [8] .  ... 
doi:10.1109/mitp.2013.105 fatcat:hk3zocjbxjawhfuye4k7gkcvqq

Tie-Breaking Bias: Effect of an Uncontrolled Parameter on Information Retrieval Evaluation [chapter]

Guillaume Cabanac, Gilles Hubert, Mohand Boughanem, Claude Chrisment
2010 Lecture Notes in Computer Science  
We consider Information Retrieval evaluation, especially at Trec with the trec eval program.  ...  A study of 22 Trec editions reveals significant differences between the Conventional unfair Trec's strategy and the fairer strategies we propose.  ...  Acknowledgments We thank the reviewers for their thorough evaluations and insightful remarks. References  ... 
doi:10.1007/978-3-642-15998-5_13 fatcat:gqme5uoukvdqtlugmxwjah54tq
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