Hossein A. Rahmani

PhD Student • Web Intelligence Group (WI)UCL Centre for Artificial IntelligenceUCL




UCL AI Centre
90 High Holborn
University College London

I am a first-year PhD student in Computer Science at the University College London (UCL), affiliated with Web Intelligence Group (WI) at UCL Centre for Artificial Intelligence (UCL AI Center). I am fortunate to be advised by Prof. Emine Yilmaz and Nick Craswell. I am working on problems at the intersection of Machine Learning and Information Retrieval. My research interests are mainly in recommender systems, bias and fairness, and conversational systems.

Prior to that, I obtained my MSc in Computer Science from University of Zanjan (ZNU), where I was advised by Prof. Mohsen Afsharchi and Dr. Mitra Baratchi (co-supervisor from Leiden University) and worked on context-aware recommender systems. I received my B.Sc. degree from the University of Zanjan.

[CV] [Google Scholar]

recent news [news]

Nov 24, 2023 I presented a tutorial on Fairness in Recommender System for MSc students of Artificial Intelligence for Sustainable Development course at UCL. Check the GitHub repository.
Nov 17, 2023 Our team ranked 1st in TREC iKAT 2023 🥇🎉. We submitted Retrieve-then-Generate and Generate-then-Retrieve models, combining LLMs and Search for Conversational Search.
Nov 17, 2023 I attend TREC conferene as part of the Deep Learning Track organisers and presented our findings on using Synthetic Queries to build Test Collections.
Aug 1, 2023 We are organising WITalk, a seminar series that invite researchers to present, share and discuss their research findings in IR and NLP, at UCL AI Center.
Jul 9, 2023 I delivered a presentation at CS Reading Group at Qazvin Islamic Azad University (QIAU) on Fairness and Bias in Recommender Systems.

selected publications [publications]

  1. Bias@ECIR
    The Unfairness of Active Users and Popularity Bias in Point-of-Interest Recommendation
    Hossein A. Rahmani, Yashar Deldjoo, Ali Tourani, and Mohammadmehdi Naghiaei
    In Third International Workshop on Algorithmic Bias in Search and Recommendation (Bias@ECIR), 2022
  2. ECIR
    Joint Geographical and Temporal Modeling based on Matrix Factorization for Point-of-Interest Recommendation
    Hossein A. Rahmani, Mohammad Aliannejadi, Mitra Baratchi, and Fabio Crestani
    In European Conference on Information Retrieval (ECIR), 2020