In this contribution, different proposals found in the specialized literature for the application
of evolutionary computation to the field of information retrieval will be reviewed. To do so …

To address the problem of inadequate feature extraction and binary code discrete
optimization faced by deep hashing methods using a relaxation-quantization strategy, a …

In this paper a novel approach is proposed for generating the optimal ranked clicked URLs
using genetic algorithm (GA) based on clustered web query sessions for effective …

Existing ranking schemes assume all term occurrences in a given document are of equal
influence. Intuitively, terms occurring in some places should have a greater influence than …

This study investigates the use of genetic algorithms in information retrieval. The method is
shown to be applicable to three well-known documents collections, where more relevant …

La RI personnalisée est une direction de recherche qui permet la mise en oeuvre de
systèmes d'accès à l'information centrés utilisateurs, non dans le sens d'un utilisateur …

The Internet and World Wide Web are becoming more and more dynamic in terms of their
content and use. Information retrieval (IR) efforts aim to keep up with this dynamic …

Most of the existing information retrieval systems are based on bag-of-words model and are
not equipped with common world knowledge. Work has been done towards improving the …

The Inductive Query By Example (IQBE) paradigm allows a system to automatically derive
queries for a specific Information Retrieval System (IRS). Classic IRSs based on this …

Accurate forecasting in short term traffic flow is of vital importance in management of good
road traffic. In order to increase the precision, this paper proposes a forecasting model in …