Alireza Gharahighehi

Machine learning & AI

Alireza Gharahighehi

Alireza Gharahighehi  is a senior researcher in itec, imec research group at KU Leuven. He is mainly working on personalization and recommendation systems in media applications.  His main research areas of interest are news recommendation, beyond accuracy evaluation and cold-start problem in recommender systems. Apart from his research work at itec, Alireza is also involved in the advanced master of Artificial Intelligence in Business and Industry at the KU Leuven campus Kulak in Kortrijk.

involved projects

IMMOSITE

Immosite will become a unique freemium real estate portal, similar to Spotify or Amazon, but for real estate like Airbnb

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NewsButler

Personalized, user-controlled news distribution based on conversational user interfaces to drive user engagement, conversion and retention. An imec-project (2019-2021).

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Publications

  • Gharahighehi Alireza, Van Schoors rani, Topali Paraskevi, Ooge Jeroen, - 2024 - Adaptive Lifelong Learning (ALL) - Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky. AIED 2024; 2024; Vol. 2151; pp. 452 - 459


  • Tack Anaïs, Buseyne Siem, Chen Changsheng, D'hondt Robbe, De Vrindt Michiel, Gharahighehi Alireza, Metwaly Sameh, Nakano Felipe Kenji, Noreillie Ann-Sophie, - 2024 - ITEC at BEA 2024 Shared Task: Predicting Difficulty and Response Time of Medical Exam Questions with Statistical, Machine Learning, and Language Models - Proceedings of the 19th Workshop on Innovative Use of NLP for Building Educational Applications; 2024; pp. 512 - 521


  • Tack Anaïs, Buseyne Siem, Chen Changsheng, D'hondt Robbe, De Vrindt Michiel, Gharahighehi Alireza, Metwaly Sameh, Nakano Felipe Kenji, Noreillie Ann-Sophie, - 2024 - ITEC at BEA 2024 Shared Task: Predicting Difficulty and Response Time of Medical Exam Questions with Statistical, Machine Learning, and Language Models -


  • Van Schoors Rani, Gharahighehi Alireza, Fastré Ann, - 2024 - The potential of AI in education and learning -


  • Gharahighehi Alireza, De Croon Robin, Madou Tom, - 2024 - Human-centered AI-driven decision support systems for Learning -


  • Gharahighehi Alireza, Venturini Michela, Cornillie Frederik, Vens celine, - 2023 - Course recommendations in MOOCs using collaborative filtering and survival analysis -


  • Gharahighehi Alireza, Venturini Michela, Ghinis Achilleas, Cornillie Frederik, Vens Celine, - 2023 - Extending Bayesian Personalized Ranking with Survival Analysis for MOOC Recommendation - UMAP '23 Adjunct: Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization; 2023; pp. 56 - 59


  • Vanbecelaere Stefanie, Gharahighehi Alireza, Bhatt Sohum, - 2023 - Dashboarding and Recommender systems for educational tools -


  • Gharahighehi Alireza, Nakano Felipe kenji, Vens celine, - 2023 - An Adaptive Hybrid Active Learning Strategy with Free Ratings in Collaborative Filtering - Intelligent Systems and Applications; 2023; Vol. 542; pp. 531 - 545


  • Gharahighehi Alireza, Pliakos konstantinos, Vens Celine, - 2022 - Addressing the Cold-Start Problem in Collaborative Filtering through Positive-Unlabeled Learning and Multi-Target Prediction - Ieee Access; 2022; Vol. 10; pp. 117189 - 117198


  • Gharahighehi Alireza, - 2022 - Recommender Systems for Personalized Applications -


  • Gharahighehi Alireza, Pliakos Konstantinos, Vens Celine, - 2021 - Recommender Systems in the Real Estate Market—A Survey - Applied Sciences-Basel; 2021; Vol. 11; iss. 16


  • Gharahighehi Alireza, Vens Céline, - 2021 - Diversification in Session-based News Recommender Systems - Personal and Ubiquitous Computing; 2021; pp. 1 - 11


  • Gharahighehi Alireza, Vens Celine, Pliakos Konstantinos, - 2021 - Fair Multi-Stakeholder News Recommender System with Hypergraph ranking - Information Processing and Management; 2021; Vol. 58; iss. 5


  • Gharahighehi Alireza, Vens Celine, - 2021 - Personalizing diversity versus accuracy in session-based recommender systems - SN Computer Science; 2021; Vol. 2


  • Gharahighehi Alireza, Vens celine, - - Extended Bayesian Personalized Ranking based on Consumption Behavior - Artificial Intelligence and Machine Learning; 2021; pp. 152 - 164


  • Gharahighehi Alireza, Vens Celine, Pliakos Konstantinos, - 2021 - An Ensemble Hypergraph Learning framework for Recommendation - Discovery Science. DS 2021; 2021; Vol. 12986; pp. 295 - 304


  • Gharahighehi Alireza, Vens Celine, - 2020 - Making Session-based News Recommenders Diversity-aware - Proceedings of the Workshop on Online Misinformation- and Harm-Aware Recommender Systems; 2020; pp. 60 - 66


  • Gharahighehi Alireza, Vens Celine, Pliakos Konstantinos, - 2020 - Multi-Stakeholder News Recommendation using Hypergraph Learning - INRA '20: 8th International Workshop on News Recommendation and Analytics; 2020; Vol. 1323; pp. 531 - 535


  • Gharahighehi Alireza, Vens Celine, - 2019 - News Topic Recommendation Using an Extended Bayesian Personalized Ranking. - BNAIC/BENELEARN; 2019; Vol. 2491


  • Gharahighehi Alireza, Kheirkhah Amir Saman, Bagheri Ali, Rashidi Ehsan, - 2016 - Improving performances of the emergency department using discrete event simulation, DEA and the MADM methods - Digital Health; 2016; Vol. 2


  • Gharahighehi A, Kheirkhah AH, Bagheri A, Ahmadi M, others , - 2014 - Improving patient flow management process in emergency department using simulation and PROMETHEE method. - Journal of Health Administration (JHA); 2014; Vol. 17


  • Ahmadi Morteza, Seifi Abbas, Gharahighehi Alireza, - 2014 - A Humanitarian logistics model to minimize losses aftermath of an earthquake in large-scale and actual size - Journal of Emergency Management; 2014; Vol. 2; iss. 4; pp. 51 - 64


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