Alireza Gharahighehi

According to our database, Alireza Gharahighehi authored at least 14 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

ITEC at BEA 2024 Shared Task: Predicting Difficulty and Response Time of Medical Exam Questions with Statistical, Machine Learning, and Language Models.

Anaïs Tack, Siem Buseyne, Changsheng Chen, Robbe D'hondt, Michiel De Vrindt, Alireza Gharahighehi, Sameh Metwaly, Felipe Kenji Nakano, Ann-Sophie Noreillie

Proceedings of the 19th Workshop on Innovative Use of NLP for Building Educational Applications, 2024

Adaptive Lifelong Learning (ALL).

Alireza Gharahighehi, Rani Van Schoors, Paraskevi Topali, Jeroen Ooge

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2024

2023

Diversification in session-based news recommender systems.

Alireza Gharahighehi, Celine Vens

Pers. Ubiquitous Comput., 2023

HypeRS: Building a Hypergraph-driven ensemble Recommender System.

Alireza Gharahighehi, Celine Vens, Konstantinos Pliakos

CoRR, 2023

Extending Bayesian Personalized Ranking with Survival Analysis for MOOC Recommendation.

Alireza Gharahighehi, Michela Venturini, Achilleas Ghinis, Frederik Cornillie, Celine Vens

Proceedings of the Adjunct Proceedings of the 31st ACM Conference on User Modeling, 2023

2022

Addressing the Cold-Start Problem in Collaborative Filtering Through Positive-Unlabeled Learning and Multi-Target Prediction.

Alireza Gharahighehi, Konstantinos Pliakos, Celine Vens

IEEE Access, 2022

An Adaptive Hybrid Active Learning Strategy with Free Ratings in Collaborative Filtering.

Alireza Gharahighehi, Felipe Kenji Nakano, Celine Vens

Proceedings of the Intelligent Systems and Applications, 2022

2021

Personalizing Diversity Versus Accuracy in Session-Based Recommender Systems.

Alireza Gharahighehi, Celine Vens

SN Comput. Sci., 2021

Fair multi-stakeholder news recommender system with hypergraph ranking.

Alireza Gharahighehi, Celine Vens, Konstantinos Pliakos

Inf. Process. Manag., 2021

An Ensemble Hypergraph Learning Framework for Recommendation.

Alireza Gharahighehi, Celine Vens, Konstantinos Pliakos

Proceedings of the Discovery Science - 24th International Conference, 2021

2020

Making Session-based News Recommenders Diversity-aware.

Alireza Gharahighehi, Celine Vens

Proceedings of the Workshop on Online Misinformation- and Harm-Aware Recommender Systems co-located with 14th ACM Conference on Recommender Systems (RecSys 2020), 2020

Multi-stakeholder News Recommendation Using Hypergraph Learning.

Alireza Gharahighehi, Celine Vens, Konstantinos Pliakos

Proceedings of the ECML PKDD 2020 Workshops, 2020

2019

Extended Bayesian Personalized Ranking Based on Consumption Behavior.

Alireza Gharahighehi, Celine Vens

Proceedings of the Artificial Intelligence and Machine Learning, 2019

News Topic Recommendation Using an Extended Bayesian Personalized Ranking.

Alireza Gharahighehi, Celine Vens

Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019