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Filters
The Text REtrieval Conferences (TRECs)
1996
Proceedings of a workshop on held at Vienna, Virginia May 6-8, 1996 -
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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)
1996
Proceedings of a workshop on held at Vienna, Virginia May 6-8, 1996 -
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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)
1996
Proceedings of a workshop on held at Baltimore, Maryland October 13-15, 1998 -
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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
2003
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval - SIGIR '03
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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
2003
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval - SIGIR '03
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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
2000
Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '00
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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
2001
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '01
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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
2008
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '08
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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)
2014
Monthly Weather Review
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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
2004
Proceedings of the 27th annual international conference on Research and development in information retrieval - SIGIR '04
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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]
2020
arXiv
pre-print
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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
2016
International Journal of Grid and Distributed Computing
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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
2003
2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698)
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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
2014
IT Professional Magazine
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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]
2010
Lecture Notes in Computer Science
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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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