Combining variable neighborhood with gradient ascent for learning to rank problem

OAS Ibrahim, EMG Younis - Neural Computing and Applications, 2023 - Springer
Metaheuristic applications for information retrieval research are limited in spite of the
importance of this problem domain. Ranking the retrieved documents based on their …

A Quantum-Inspired Predator–Prey Algorithm for Real-Parameter Optimization

AA Khan, S Hussain, R Chandra - Algorithms, 2024 - mdpi.com
Quantum computing has opened up various opportunities for the enhancement of
computational power in the coming decades. We can design algorithms inspired by the …

Combining variable neighbourhood with simulated annealing for learning to rank problem

OAS Ibrahim - 2022 - researchsquare.com
Abstract Variable Neighbourhood Search (VNS) is a problem-solving technique that
improves heuristic solutions. The solutions are built around incremental adjustments to …

A survey on computational intelligence applications in information retrieval

OAS Ibrahim - 2022 - researchsquare.com
Computational Intelligence (CI) techniques have been widely employed in information
retrieval (IR). CI approaches include everything from evolutionary computation and …

[PDF][PDF] A Variable Neighborhood Hybridizing for Better Ranking Models in Information Retrieval

OAS Ibrahim - 2024 - researchgate.net
Abstract Variable Neighborhood Search (VNS) optimizes heuristic solutions for daily
problems by adjusting neighboring solutions' systematic changes. This study uses two …

[PDF][PDF] An Overview of Artificial Intelligence Applications in Information Retrieval

OAS Ibrahim - researchgate.net
Abstract Information retrieval (IR) methodologies, empowered by computational intelligence
(CI), hold a pivotal role across diverse research domains. CI encompasses a broad …