Ali Vardasbi
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
18
Venues
6
Active years
2020–2026
Best venue rank
A*
Where they publish
Papers
18 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | SIGIR | As It Was: Aligning LLM Search Evaluation with Historical User Preferences. | Ali Vardasbi, Gustavo Penha, Enrico Palumbo, Claudia Hauff, Hugues Bouchard, Mounia Lalmas |
| 2025 | RecSys | You Say Search, I Say Recs: A Scalable Agentic Approach to Query Understanding and Exploratory Search at Spotify. | Enrico Palumbo, Marcus Isaksson, Alexandre Tamborrino, Maria Movin, Catalin Dincu, Ali Vardasbi, Lev Nikeshkin, Oksana Gorobets, Anders Nyman, Poppy Newdick, Hugues Bouchard, Paul N. Bennett, Mounia Lalmas, Dani Doro, Christine Doig Cardet, Ziad Sultan |
| 2025 | RecSys | Semantic IDs for Joint Generative Search and Recommendation. | Gustavo Penha, Edoardo D'Amico, Marco De Nadai, Enrico Palumbo, Alexandre Tamborrino, Ali Vardasbi, Max Lefarov, Shawn Lin, Timothy Christopher Heath, Francesco Fabbri, Hugues Bouchard |
| 2024 | ECIR | Emotional Insights for Food Recommendations. | Mehrdad Rostami, Ali Vardasbi, Mohammad Aliannejadi, Mourad Oussalah |
| 2024 | RecSys | Bridging Search and Recommendation in Generative Retrieval: Does One Task Help the Other? | Gustavo Penha, Ali Vardasbi, Enrico Palumbo, Marco De Nadai, Hugues Bouchard |
| 2024 | SIGIR | The Impact of Group Membership Bias on the Quality and Fairness of Exposure in Ranking. | Ali Vardasbi, Maarten de Rijke, Fernando Diaz, Mostafa Dehghani |
| 2024 | WSDM | Unbiased Learning to Rank: On Recent Advances and Practical Applications. | Shashank Gupta, Philipp Hager, Jin Huang, Ali Vardasbi, Harrie Oosterhuis |
| 2023 | EAMT | State Spaces Aren't Enough: Machine Translation Needs Attention. | Ali Vardasbi, Telmo Pessoa Pires, Robin M. Schmidt, Stephan Peitz |
| 2023 | SIGIR | Recent Advances in the Foundations and Applications of Unbiased Learning to Rank. | Shashank Gupta, Philipp Hager, Jin Huang, Ali Vardasbi, Harrie Oosterhuis |
| 2023 | SIGIR | Repetition and Exploration in Sequential Recommendation. | Ming Li, Ali Vardasbi, Andrew Yates, Maarten de Rijke |
| 2023 | SIGIR | On the Impact of Outlier Bias on User Clicks. | Fatemeh Sarvi, Ali Vardasbi, Mohammad Aliannejadi, Sebastian Schelter, Maarten de Rijke |
| 2022 | CIKM | Intersection of Parallels as an Early Stopping Criterion. | Ali Vardasbi, Maarten de Rijke, Mostafa Dehghani |
| 2022 | SIGIR | Probabilistic Permutation Graph Search: Black-Box Optimization for Fairness in Ranking. | Ali Vardasbi, Fatemeh Sarvi, Maarten de Rijke |
| 2021 | CIKM | Cross-Market Product Recommendation. | Hamed R. Bonab, Mohammad Aliannejadi, Ali Vardasbi, Evangelos Kanoulas, James Allan |
| 2021 | CIKM | Mixture-Based Correction for Position and Trust Bias in Counterfactual Learning to Rank. | Ali Vardasbi, Maarten de Rijke, Ilya Markov |
| 2021 | RecSys | XMRec: Workshop on Cross-Market Recommendation. | Mohammad Aliannejadi, Hamed R. Bonab, Ali Vardasbi, Evangelos Kanoulas, James Allan, Vanessa Murdock |
| 2020 | CIKM | When Inverse Propensity Scoring does not Work: Affine Corrections for Unbiased Learning to Rank. | Ali Vardasbi, Harrie Oosterhuis, Maarten de Rijke |
| 2020 | SIGIR | Cascade Model-based Propensity Estimation for Counterfactual Learning to Rank. | Ali Vardasbi, Maarten de Rijke, Ilya Markov |