activity
20222026
most citedA Survey of Latent Factor Models in Recommender Systems

8 citations · 17 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CV2026

Finding Sparse Subnetworks in One Training Cycle via Progressive Magnitude-Based Pruning

Romana Qureshi, Hafida Benhidour, Said Kerrache +1

Neural network pruning reduces model size by removing less important parameters while aiming to preserve predictive performance. Although the Lottery Ticket Hypothesis (LTH) shows…

cs.CL2025

Offensive Language Detection on Social Media Using XLNet

Reem Alothman, Hafida Benhidour, Said Kerrache

The widespread use of text-based communication on social media-through chats, comments, and microblogs-has improved user interaction but has also led to an increase in offensive co…

cs.IR2024★ 8 cited

A Survey of Latent Factor Models in Recommender Systems

Hind I. Alshbanat, Hafida Benhidour, Said Kerrache

Recommender systems are essential tools in the digital era, providing personalized content to users in areas like e-commerce, entertainment, and social media. Among the many approa…

cs.CL2023

A Sequence-to-Sequence Approach for Arabic Pronoun Resolution

Hanan S. Murayshid, Hafida Benhidour, Said Kerrache

This paper proposes a sequence-to-sequence learning approach for Arabic pronoun resolution, which explores the effectiveness of using advanced natural language processing (NLP) tec…

cs.IR2022★ 1 cited

A Sequence-Aware Recommendation Method Based on Complex Networks

Abdullah Alhadlaq, Said Kerrache, Hatim Aboalsamh

Online stores and service providers rely heavily on recommendation softwares to guide users through the vast amount of available products. Consequently, the field of recommender sy…

cs.IR2022★ 2 cited

A Recommendation Approach based on Similarity-Popularity Models of Complex Networks

Abdullah Alhadlaq, Said Kerrache, Hatim Aboalsamh

Recommender systems have become an essential tool for providers and users of online services and goods, especially with the increased use of the Internet to access information and…

cs.LG2022★ 2 cited

A Complex Network based Graph Embedding Method for Link Prediction

Said Kerrache, Hafida Benhidour

Graph embedding methods aim at finding useful graph representations by mapping nodes to a low-dimensional vector space. It is a task with important downstream applications, such as…

cs.CV2022★ 2 cited

Image Captioning based on Feature Refinement and Reflective Decoding

Ghadah Alabduljabbar, Hafida Benhidour, Said Kerrache

Image captioning is the process of automatically generating a description of an image in natural language. Image captioning is one of the significant challenges in image understand…

cs.SI2022★ 1 cited

An Approach for Link Prediction in Directed Complex Networks based on Asymmetric Similarity-Popularity

Hafida Benhidour, Lama Almeshkhas, Said Kerrache

Complex networks are graphs representing real-life systems that exhibit unique characteristics not found in purely regular or completely random graphs. The study of such systems is…

math.NA2022★ 1 cited

Constrained Mass Optimal Transport

Said Kerrache, Yasushi Nakauchi

Optimal mass transport, also known as the earth mover's problem, is an optimization problem with important applications in various disciplines, including economics, probability the…