BM25-CTF: Improving TF and IDF factors in BM25 by using collection term frequencies

S Jimenez, SP Cucerzan, FA Gonzalez… - Journal of Intelligent …, 2018 - content.iospress.com
In this paper, the use of collection term frequencies (ie the total number of occurrences of a
term in a document collection) in the BM25 retrieval model is investigated by modifying its …

Exploring the space of information retrieval term scoring functions

P Goswami, E Gaussier, MR Amini - Information Processing & …, 2017 - Elsevier
In this paper we are interested in finding good IR scoring functions by exploring the space of
all possible IR functions. Earlier approaches to do so however only explore a small sub-part …

Generation of simple structured information retrieval functions by genetic algorithm without stagnation

AS Kulunchakov, VV Strijov - Expert Systems with Applications, 2017 - Elsevier
This paper investigates an approach to construct new ranking models for Information
Retrieval. The IR ranking model depends on the document description. It includes the term …

Interroger le texte scientifique

G Cabanac - 2016 - theses.hal.science
Les documents textuels sont des vecteurs d'information familiers et incontournables de notre
société de l'information. Avec l'essor des plateformes numériques et des médias sociaux, le …

Study of heuristic IR constraints under function discovery framework

P Goswami, MR Amini, E Gaussier - Proceedings of the 2015 …, 2015 - dl.acm.org
In this paper we investigate the effect of the heuristic IR constraints on IR term-document
scoring functions within the recently proposed function discovery framework. In the earlier …

[PDF][PDF] Habilitation à diriger des recherches

G Cabanac - irit.fr
Résumé Les documents textuels sont des vecteurs d'information familiers et
incontournables de notre société de l'information. Avec l'essor des plateformes numériques …