On theoretically valid score distributions in information retrieval

Ronan Cummins, Colm O'Riordan

Research output: Chapter in Book or Conference Publication/ProceedingConference Publicationpeer-review

3 Citations (Scopus)

Abstract

In this paper, we aim to investigate the practical usefulness of the Recall-Fallout Convexity Hypothesis (RFCH) for a number of document score distribution (SD) models. We compare SD models that do not automatically adhere to the RFCH to modified versions of the same SD models that do adhere to the RFCH. We compare these models using the inference of average precision as a measure of utility. For the three models studied in this paper, we conclude that adhering to the RFCH is practically useful for the two-normal model, makes no difference for the two-gamma model, and degrades the performance of the two-lognormal model.

Original languageEnglish
Title of host publicationAdvances in Information Retrieval - 34th European Conference on IR Research, ECIR 2012, Proceedings
Pages451-454
Number of pages4
DOIs
Publication statusPublished - 2012
Event34th European Conference on Information Retrieval, ECIR 2012 - Barcelona, Spain
Duration: 1 Apr 20125 Apr 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7224 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference34th European Conference on Information Retrieval, ECIR 2012
Country/TerritorySpain
CityBarcelona
Period1/04/125/04/12

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