Standard
Rethinking how to extend average precision to graded relevance. / Ferrante, Marco; Maistro, Maria; Ferro, Nicola.
Information Access Evaluation: Multilinguality, Multimodality, and Interaction - 5th International Conference of the CLEF Initiative, CLEF 2014, Proceedings. Springer Verlag, 2014. p. 19-30 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 8685 LNCS).
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Harvard
Ferrante, M
, Maistro, M & Ferro, N 2014,
Rethinking how to extend average precision to graded relevance. in
Information Access Evaluation: Multilinguality, Multimodality, and Interaction - 5th International Conference of the CLEF Initiative, CLEF 2014, Proceedings. Springer Verlag, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8685 LNCS, pp. 19-30, 5th International Conference of the CLEF Initiative, CLEF 2014, Sheffield, United Kingdom,
15/09/2014.
https://doi.org/10.1007/978-3-319-11382-1_3
APA
Ferrante, M.
, Maistro, M., & Ferro, N. (2014).
Rethinking how to extend average precision to graded relevance. In
Information Access Evaluation: Multilinguality, Multimodality, and Interaction - 5th International Conference of the CLEF Initiative, CLEF 2014, Proceedings (pp. 19-30). Springer Verlag,. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 8685 LNCS
https://doi.org/10.1007/978-3-319-11382-1_3
Vancouver
Ferrante M
, Maistro M, Ferro N.
Rethinking how to extend average precision to graded relevance. In Information Access Evaluation: Multilinguality, Multimodality, and Interaction - 5th International Conference of the CLEF Initiative, CLEF 2014, Proceedings. Springer Verlag,. 2014. p. 19-30. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 8685 LNCS).
https://doi.org/10.1007/978-3-319-11382-1_3
Author
Ferrante, Marco ; Maistro, Maria ; Ferro, Nicola. / Rethinking how to extend average precision to graded relevance. Information Access Evaluation: Multilinguality, Multimodality, and Interaction - 5th International Conference of the CLEF Initiative, CLEF 2014, Proceedings. Springer Verlag, 2014. pp. 19-30 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 8685 LNCS).
Bibtex
@inproceedings{6d4d669b45ac4d548b30e254d0f1d26b,
title = "Rethinking how to extend average precision to graded relevance",
abstract = "We present two new measures of retrieval effectiveness, inspired by Graded Average Precision(GAP), which extends Average Precision(AP) to graded relevance judgements. Starting from the random choice of a user, we define Extended Graded Average Precision(xGAP) and Expected Graded Average Precision(eGAP), which are more accurate than GAP in the case of a small number of highly relevant documents with high probability to be considered relevant by the users. The proposed measures are then evaluated on TREC 10, TREC 14, and TREC 21 collections showing that they actually grasp a different angle from GAP and that they are robust when it comes to incomplete judgments and shallow pools.",
author = "Marco Ferrante and Maria Maistro and Nicola Ferro",
year = "2014",
month = jan,
day = "1",
doi = "10.1007/978-3-319-11382-1_3",
language = "English",
isbn = "9783319113814",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag,",
pages = "19--30",
booktitle = "Information Access Evaluation",
note = "5th International Conference of the CLEF Initiative, CLEF 2014 ; Conference date: 15-09-2014 Through 18-09-2014",
}
RIS
TY - GEN
T1 - Rethinking how to extend average precision to graded relevance
AU - Ferrante, Marco
AU - Maistro, Maria
AU - Ferro, Nicola
PY - 2014/1/1
Y1 - 2014/1/1
N2 - We present two new measures of retrieval effectiveness, inspired by Graded Average Precision(GAP), which extends Average Precision(AP) to graded relevance judgements. Starting from the random choice of a user, we define Extended Graded Average Precision(xGAP) and Expected Graded Average Precision(eGAP), which are more accurate than GAP in the case of a small number of highly relevant documents with high probability to be considered relevant by the users. The proposed measures are then evaluated on TREC 10, TREC 14, and TREC 21 collections showing that they actually grasp a different angle from GAP and that they are robust when it comes to incomplete judgments and shallow pools.
AB - We present two new measures of retrieval effectiveness, inspired by Graded Average Precision(GAP), which extends Average Precision(AP) to graded relevance judgements. Starting from the random choice of a user, we define Extended Graded Average Precision(xGAP) and Expected Graded Average Precision(eGAP), which are more accurate than GAP in the case of a small number of highly relevant documents with high probability to be considered relevant by the users. The proposed measures are then evaluated on TREC 10, TREC 14, and TREC 21 collections showing that they actually grasp a different angle from GAP and that they are robust when it comes to incomplete judgments and shallow pools.
UR - http://www.scopus.com/inward/record.url?scp=84906733016&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-11382-1_3
DO - 10.1007/978-3-319-11382-1_3
M3 - Article in proceedings
AN - SCOPUS:84906733016
SN - 9783319113814
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 19
EP - 30
BT - Information Access Evaluation
PB - Springer Verlag,
T2 - 5th International Conference of the CLEF Initiative, CLEF 2014
Y2 - 15 September 2014 through 18 September 2014
ER -