Query Refinement into Information Retrieval Systems: An Overview

Autor: Mosbah, Mawloud

Publikováno v: Journal of Information and Organizational Sciences. 47(1):133-151

Externí odkaz: https://www.ceeol.com/search/article-detail?id=1135299

An Efficient and Effective Image Retrieval System on the basis of Feature, Matching Measure and sub-space Selection

Autor: Mosbah, Mawloud

Publikováno v: Journal of Information and Organizational Sciences. 42(2):231-240

Externí odkaz: https://www.ceeol.com/search/article-detail?id=722124

Distance selection based on relevance feedback in the context of CBIR using the SFS meta-heuristic with one round

Autor: Mosbah, Mawloud, Boucheham, Bachir

Publikováno v: In Egyptian Informatics Journal March 2017 18(1):1-9

Improving the Results of Google Scholar Engine through Automatic Query Expansion Mechanism and Pseudo Reranking using MVRA.

Autor: Mosbah, Mawloud¹ mos_nasa@hotmail.fr

Publikováno v: Journal of Information & Organizational Sciences. 2018, Vol. 42 Issue 2, p219-229. 11p.

Recherche d'information à base de Recursive Query Shifting

Autor: Mosbah, Mawloud

Publikováno v: International Conference on Artificial intelligence and Information Technology (ICA2IT'19)
International Conference on Artificial intelligence and Information Technology (ICA2IT'19), Mar 2019, Ouargla, Algeria. pp.225-232

In this paper, we introduce an information retrieval approach based on a Recursive Query Shifting. The idea is coming from the observation that precision value, in Precision/Recall curves, begins very high before downgrading and so no matter what the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::b16f6aa6aa85005e566a9248514b1481
https://hal.archives-ouvertes.fr/hal-02934510