Ali Vardasbi

According to our database, Ali Vardasbi authored at least 25 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Unbiased Learning to Rank: On Recent Advances and Practical Applications.

Shashank Gupta, Philipp Hager, Jin Huang, Ali Vardasbi, Harrie Oosterhuis

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

The Impact of Group Membership Bias on the Quality and Fairness of Exposure in Ranking.

Ali Vardasbi, Maarten de Rijke, Fernando Diaz, Mostafa Dehghani

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Bridging Search and Recommendation in Generative Retrieval: Does One Task Help the Other?

Gustavo Penha, Ali Vardasbi, Enrico Palumbo, Marco De Nadai, Hugues Bouchard

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Emotional Insights for Food Recommendations.

Mehrdad Rostami, Ali Vardasbi, Mohammad Aliannejadi, Mourad Oussalah

Proceedings of the Advances in Information Retrieval, 2024

2023

Group Membership Bias.

Ali Vardasbi, Maarten de Rijke, Fernando Diaz, Mostafa Dehghani

CoRR, 2023

On the Impact of Outlier Bias on User Clicks.

Fatemeh Sarvi, Ali Vardasbi, Mohammad Aliannejadi, Sebastian Schelter, Maarten de Rijke

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Repetition and Exploration in Sequential Recommendation.

Ming Li, Ali Vardasbi, Andrew Yates, Maarten de Rijke

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Recent Advances in the Foundations and Applications of Unbiased Learning to Rank.

Shashank Gupta, Philipp Hager, Jin Huang, Ali Vardasbi, Harrie Oosterhuis

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

State Spaces Aren't Enough: Machine Translation Needs Attention.

Ali Vardasbi, Telmo Pessoa Pires, Robin M. Schmidt, Stephan Peitz

Proceedings of the 24th Annual Conference of the European Association for Machine Translation, 2023

2022

Probabilistic Permutation Graph Search: Black-Box Optimization for Fairness in Ranking.

Ali Vardasbi, Fatemeh Sarvi, Maarten de Rijke

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Intersection of Parallels as an Early Stopping Criterion.

Ali Vardasbi, Maarten de Rijke, Mostafa Dehghani

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

The University of Amsterdam at the TREC 2021 Fair Ranking Track.

Ali Vardasbi, Gabriel Bénédict, Shashank Gupta, Maria Heuss, Pooya Khandel, Ming Li, Fatemeh Sarvi

Proceedings of the Thirtieth Text REtrieval Conference, 2021

XMRec: Workshop on Cross-Market Recommendation.

Mohammad Aliannejadi, Hamed R. Bonab, Ali Vardasbi, Evangelos Kanoulas, James Allan, Vanessa Murdock

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Omission of Information: Identifying Political Slant via an Analysis of Co-occurring Entities.

Jonas Ehrhardt, Timo Spinde, Ali Vardasbi, Felix Hamborg

Proceedings of the Information between Data and Knowledge: Information Science and its Neighbors from Data Science to Digital Humanities, 2021

Mixture-Based Correction for Position and Trust Bias in Counterfactual Learning to Rank.

Ali Vardasbi, Maarten de Rijke, Ilya Markov

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Cross-Market Product Recommendation.

Hamed R. Bonab, Mohammad Aliannejadi, Ali Vardasbi, Evangelos Kanoulas, James Allan

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Cascade Model-based Propensity Estimation for Counterfactual Learning to Rank.

Ali Vardasbi, Maarten de Rijke, Ilya Markov

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

When Inverse Propensity Scoring does not Work: Affine Corrections for Unbiased Learning to Rank.

Ali Vardasbi, Harrie Oosterhuis, Maarten de Rijke

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Solving submodular text processing problems using influence graphs.

Ali Vardasbi, Heshaam Faili, Masoud Asadpour

Soc. Netw. Anal. Min., 2019

2017

SWIM: Stepped Weighted Shell Decomposition Influence Maximization for Large-Scale Networks.

Ali Vardasbi, Heshaam Faili, Masoud Asadpour

ACM Trans. Inf. Syst., 2017

A Behavioral Analysis on the Reselection of Seed Nodes in Independent Cascade Based Influence Maximization.

Ali Vardasbi, Heshaam Faili, Masoud Asadpour

CoRR, 2017

2013

Superpoly algebraic normal form monomial test on Trivium.

Ali Vardasbi, Mahmoud Salmasizadeh, Javad Mohajeri

IET Inf. Secur., 2013

Non-Delegatable Strong Designated Verifier Signature Using a Trusted Third Party without Pairings.

Maryam Rajabzadeh Asaar, Ali Vardasbi, Mahmoud Salmasizadeh

Proceedings of the Eleventh Australasian Information Security Conference, 2013

2012

On the multi _ chi-square tests and their data complexity.

Ali Vardasbi, Mahmoud Salmasizadeh, Javad Mohajeri

ISC Int. J. Inf. Secur., 2012

Cryptanalysis of GSM encryption algorithm A5/1.

Vahid Amin Ghafari, Ali Vardasbi, Javad Mohajeri

ISC Int. J. Inf. Secur., 2012