Rethinking how to extend average precision to graded relevance

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

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.

OriginalsprogEngelsk
TitelInformation Access Evaluation : Multilinguality, Multimodality, and Interaction - 5th International Conference of the CLEF Initiative, CLEF 2014, Proceedings
Antal sider12
ForlagSpringer Verlag,
Publikationsdato1 jan. 2014
Sider19-30
ISBN (Trykt)9783319113814
DOI
StatusUdgivet - 1 jan. 2014
Begivenhed5th International Conference of the CLEF Initiative, CLEF 2014 - Sheffield, Storbritannien
Varighed: 15 sep. 201418 sep. 2014

Konference

Konference5th International Conference of the CLEF Initiative, CLEF 2014
LandStorbritannien
BySheffield
Periode15/09/201418/09/2014
NavnLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Vol/bind8685 LNCS
ISSN0302-9743

ID: 216517815