Undersampling techniques to re-balance training data for large scale learning-to-rank

Muhammad Ibrahim; Mark James Carman

doi:10.1007/9783319128443_ 38

Undersampling techniques to re-balance training data for large scale learning-to-rank

Muhammad Ibrahim
, Mark James Carman

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

Original language	English
Title of host publication	Information Retrieval Technology: 10th Asia Information Retrieval Societies Conference (AIRS 2014), Proceedings
Editors	Azizah Jaafar, Nazlena Mohamad Ali, Shahrul Azman Mohd Noah, Alan F Smeaton, Peter Bruza, Zainab Abu Bakar, Nursuriati Jamil, Tengku Mohd Tengku Sembok
Place of Publication	Cham Switzerland
Publisher	Springer
Pages	444 - 457
Number of pages	14
ISBN (Print)	9783319128436
DOIs	https://doi.org/10.1007/9783319128443_ 38
Publication status	Published - 2014
Event	Asia Information Retrieval Symposium 2014 - Grand Margherita Hotel, Kuching, Malaysia Duration: 3 Dec 2014 → 5 Dec 2014 Conference number: 10th http://airs2014.pecamp.org/ https://link.springer.com/book/10.1007/978-3-319-12844-3

Conference

Conference	Asia Information Retrieval Symposium 2014
Abbreviated title	AIRS 2014
Country/Territory	Malaysia
City	Kuching
Period	3/12/14 → 5/12/14
Internet address	http://airs2014.pecamp.org/ https://link.springer.com/book/10.1007/978-3-319-12844-3

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10.1007/9783319128443_ 38

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Ibrahim, M., & Carman, M. J. (2014). Undersampling techniques to re-balance training data for large scale learning-to-rank. In A. Jaafar, N. M. Ali, S. A. M. Noah, A. F. Smeaton, P. Bruza, Z. Abu Bakar, N. Jamil, & T. M. T. Sembok (Eds.), Information Retrieval Technology: 10th Asia Information Retrieval Societies Conference (AIRS 2014), Proceedings (pp. 444 - 457). Springer. https://doi.org/10.1007/9783319128443_ 38

Ibrahim, Muhammad ; Carman, Mark James. / Undersampling techniques to re-balance training data for large scale learning-to-rank. Information Retrieval Technology: 10th Asia Information Retrieval Societies Conference (AIRS 2014), Proceedings. editor / Azizah Jaafar ; Nazlena Mohamad Ali ; Shahrul Azman Mohd Noah ; Alan F Smeaton ; Peter Bruza ; Zainab Abu Bakar ; Nursuriati Jamil ; Tengku Mohd Tengku Sembok. Cham Switzerland : Springer, 2014. pp. 444 - 457

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title = "Undersampling techniques to re-balance training data for large scale learning-to-rank",

author = "Muhammad Ibrahim and Carman, \{Mark James\}",

year = "2014",

doi = "10.1007/9783319128443\_ 38",

language = "English",

isbn = "9783319128436",

pages = "444 -- 457",

editor = "Azizah Jaafar and Ali, \{Nazlena Mohamad\} and Noah, \{Shahrul Azman Mohd\} and Smeaton, \{Alan F\} and Peter Bruza and \{Abu Bakar\}, Zainab and Nursuriati Jamil and Sembok, \{Tengku Mohd Tengku\}",

booktitle = "Information Retrieval Technology: 10th Asia Information Retrieval Societies Conference (AIRS 2014), Proceedings",

publisher = "Springer",

address = "Switzerland",

note = "Asia Information Retrieval Symposium 2014, AIRS 2014 ; Conference date: 03-12-2014 Through 05-12-2014",

url = "http://airs2014.pecamp.org/, https://link.springer.com/book/10.1007/978-3-319-12844-3",

}

Ibrahim, M & Carman, MJ 2014, Undersampling techniques to re-balance training data for large scale learning-to-rank. in A Jaafar, NM Ali, SAM Noah, AF Smeaton, P Bruza, Z Abu Bakar, N Jamil & TMT Sembok (eds), Information Retrieval Technology: 10th Asia Information Retrieval Societies Conference (AIRS 2014), Proceedings. Springer, Cham Switzerland, pp. 444 - 457, Asia Information Retrieval Symposium 2014, Kuching, Malaysia, 3/12/14. https://doi.org/10.1007/9783319128443_ 38

Undersampling techniques to re-balance training data for large scale learning-to-rank. / Ibrahim, Muhammad; Carman, Mark James.
Information Retrieval Technology: 10th Asia Information Retrieval Societies Conference (AIRS 2014), Proceedings. ed. / Azizah Jaafar; Nazlena Mohamad Ali; Shahrul Azman Mohd Noah; Alan F Smeaton; Peter Bruza; Zainab Abu Bakar; Nursuriati Jamil; Tengku Mohd Tengku Sembok. Cham Switzerland: Springer, 2014. p. 444 - 457.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

TY - GEN

T1 - Undersampling techniques to re-balance training data for large scale learning-to-rank

AU - Ibrahim, Muhammad

AU - Carman, Mark James

N1 - Conference code: 10th

PY - 2014

Y1 - 2014

UR - http://goo.gl/7nST1g

U2 - 10.1007/9783319128443_ 38

DO - 10.1007/9783319128443_ 38

M3 - Conference Paper

SN - 9783319128436

SP - 444

EP - 457

BT - Information Retrieval Technology: 10th Asia Information Retrieval Societies Conference (AIRS 2014), Proceedings

A2 - Jaafar, Azizah

A2 - Ali, Nazlena Mohamad

A2 - Noah, Shahrul Azman Mohd

A2 - Smeaton, Alan F

A2 - Bruza, Peter

A2 - Abu Bakar, Zainab

A2 - Jamil, Nursuriati

A2 - Sembok, Tengku Mohd Tengku

PB - Springer

CY - Cham Switzerland

T2 - Asia Information Retrieval Symposium 2014

Y2 - 3 December 2014 through 5 December 2014

ER -

Ibrahim M, Carman MJ. Undersampling techniques to re-balance training data for large scale learning-to-rank. In Jaafar A, Ali NM, Noah SAM, Smeaton AF, Bruza P, Abu Bakar Z, Jamil N, Sembok TMT, editors, Information Retrieval Technology: 10th Asia Information Retrieval Societies Conference (AIRS 2014), Proceedings. Cham Switzerland: Springer. 2014. p. 444 - 457 doi: 10.1007/9783319128443_ 38

Undersampling techniques to re-balance training data for large scale learning-to-rank

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