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  • Cai R, Wu F, Li Z, Qiao J, Chen W, Hao Y and Gu H. (2023). REST: Debiased Social Recommendation via Reconstructing Exposure Strategies. ACM Transactions on Knowledge Discovery from Data. 18:2. (1-24). Online publication date: 29-Feb-2024.

    https://doi.org/10.1145/3624986

  • Vasilisky Z, Kurland O, Tennenholtz M and Raiber F. Content-Based Relevance Estimation in Retrieval Settings with Ranking-Incentivized Document Manipulations. Proceedings of the 2023 ACM SIGIR International Conference on Theory of Information Retrieval. (205-214).

    https://doi.org/10.1145/3578337.3605124

  • Ben-Porat O and Torkan R. Learning with Exposure Constraints in Recommendation Systems. Proceedings of the ACM Web Conference 2023. (3456-3466).

    https://doi.org/10.1145/3543507.3583320

  • Lin Z, Feng L, Ardestani E, Lee J, Lundell J, Kim C, Kejariwal A and Owens J. (2022). Building a Performance Model for Deep Learning Recommendation Model Training on GPUs 2022 IEEE 29th International Conference on High Performance Computing, Data, and Analytics (HiPC). 10.1109/HiPC56025.2022.00019. 978-1-6654-9423-6. (48-58).

    https://ieeexplore.ieee.org/document/10106317/

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  • Zhang X, Chen L, Wang Y and Wang G. (2021). Improving Incremental Nonnegative Matrix Factorization Method for Recommendations Based on Three-Way Decision Making. Cognitive Computation. 10.1007/s12559-021-09897-8. 14:6. (1978-1996). Online publication date: 1-Nov-2022.

    https://link.springer.com/10.1007/s12559-021-09897-8

  • Kurland O and Tennenholtz M. Competitive Search. Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. (2838-2849).

    https://doi.org/10.1145/3477495.3532771

  • Patro G, Porcaro L, Mitchell L, Zhang Q, Zehlike M and Garg N. Fair ranking: a critical review, challenges, and future directions. Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency. (1929-1942).

    https://doi.org/10.1145/3531146.3533238

  • Lin Z, Feng L, Ardestani E, Lee J, Lundell J, Kim C, Kejariwal A and Owens J. (2022). Building a Performance Model for Deep Learning Recommendation Model Training on GPUs 2022 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS). 10.1109/ISPASS55109.2022.00030. 978-1-6654-5954-9. (227-229).

    https://ieeexplore.ieee.org/document/9804652/

  • Kolumbus Y and Nisan N. Auctions between Regret-Minimizing Agents. Proceedings of the ACM Web Conference 2022. (100-111).

    https://doi.org/10.1145/3485447.3512055

  • Soltaniyeh M, Lagrange Moutinho Dos Reis V, Bryson M, Yao X, Martin R and Nagarakatte S. Near-Storage Processing for Solid State Drive Based Recommendation Inference with SmartSSDs®. Proceedings of the 2022 ACM/SPEC on International Conference on Performance Engineering. (177-186).

    https://doi.org/10.1145/3489525.3511672

  • Goren G, Kurland O, Tennenholtz M and Raiber F. Driving the Herd. Proceedings of the 30th ACM International Conference on Information & Knowledge Management. (586-595).

    https://doi.org/10.1145/3459637.3482334

  • Chan H, Xu L, Liu H, Zhang R and Sangaiah A. (2020). System Design of Cloud Search Engine Based on Rich Text Content. Mobile Networks and Applications. 10.1007/s11036-020-01676-3. 26:1. (459-472). Online publication date: 1-Feb-2021.

    http://link.springer.com/10.1007/s11036-020-01676-3

  • Ben-Porat O, Rosenberg I and Tennenholtz M. Content provider dynamics and coordination in recommendation ecosystems. Proceedings of the 34th International Conference on Neural Information Processing Systems. (18931-18941).

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  • Vasilisky Z, Tennenholtz M and Kurland O. Studying Ranking-Incentivized Web Dynamics. Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval. (2093-2096).

    https://doi.org/10.1145/3397271.3401300

  • Goren G, Kurland O, Tennenholtz M and Raiber F. Ranking-Incentivized Quality Preserving Content Modification. Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval. (259-268).

    https://doi.org/10.1145/3397271.3401058

  • Kwiatkowska M, Norman G, Parker D and Santos G. PRISM-games 3.0: Stochastic Game Verification with Concurrency, Equilibria and Time. Computer Aided Verification. (475-487).

    https://doi.org/10.1007/978-3-030-53291-8_25

  • Germano F and Sobbrio F. (2020). Opinion dynamics via search engines (and other algorithmic gatekeepers). Journal of Public Economics. 10.1016/j.jpubeco.2020.104188. 187. (104188). Online publication date: 1-Jul-2020.

    https://linkinghub.elsevier.com/retrieve/pii/S0047272720300529