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Rank List Sensitivity of Recommender Systems to Interaction Perturbations

International Conference on Information and Knowledge Management (CIKM), 2022

29 January 2022

Papers citing "Rank List Sensitivity of Recommender Systems to Interaction Perturbations"

20 / 20 papers shown

Title
Assumption-free stability for ranking problems Ruiting Liang Jake A. Soloff Rina Foygel Barber Rebecca Willett 115 1 0 02 Jun 2025
Regretful Decisions under Label NoiseInternational Conference on Learning Representations (ICLR), 2025 Sujay Nagaraj Yang Liu Flavio du Pin Calmon Berk Ustun NoLa 436 3 0 12 Apr 2025
The Curious Case of Arbitrariness in Machine Learning Prakhar Ganesh Afaf Taik G. Farnadi 318 6 0 28 Jan 2025
Algorithmic Collective Action in Recommender Systems: Promoting Songs by Reordering PlaylistsNeural Information Processing Systems (NeurIPS), 2024 Joachim Baumann Celestine Mendler-Dünner 235 7 0 17 Jan 2025
Does It Look Sequential? An Analysis of Datasets for Evaluation of Sequential RecommendationsACM Conference on Recommender Systems (RecSys), 2024 Anton Klenitskiy Anna Volodkevich Anton Pembek Alexey Vasilev 102 19 0 21 Aug 2024
IntentRec: Predicting User Session Intent with Hierarchical Multi-Task Learning Sejoon Oh Moumita Bhattacharya Yesu Feng Sudarshan Lamkhede 159 1 0 25 Jul 2024
Empowering Interdisciplinary Insights with Dynamic Graph Embedding Trajectories Yiqiao Jin Andrew Zhao Yeon-Chang Lee Meng Ye Ajay Divakaran Srijan Kumar AI4CE 290 3 0 25 Jun 2024
Training Data Attribution via Approximate Unrolled Differentiation Juhan Bae Wu Lin Jonathan Lorraine Roger C. Grosse TDI MU 446 25 0 20 May 2024
Adapting Dual-encoder Vision-language Models for Paraphrased Retrieval Jiacheng Cheng Hijung Valentina Shin Nuno Vasconcelos Bryan C. Russell Fabian Caba Heilbron VLM 129 0 0 06 May 2024
Concept -- An Evaluation Protocol on Conversational Recommender Systems with System-centric and User-centric Factors Chen Huang Peixin Qin Yang Deng Wenqiang Lei Jiancheng Lv Tat-Seng Chua 310 15 0 04 Apr 2024
An Experimental Study on the Rashomon Effect of Balancing Methods in Imbalanced Classification Mustafa Cavus Przemysław Biecek 193 11 0 22 Mar 2024
Stability and Multigroup Fairness in Ranking with Uncertain Predictions Siddartha Devic Aleksandra Korolova David Kempe Willie Neiswanger 182 8 0 14 Feb 2024
FINEST: Stabilizing Recommendations by Rank-Preserving Fine-TuningACM Transactions on Knowledge Discovery from Data (TKDD), 2024 Sejoon Oh Berk Ustun Julian McAuley Srijan Kumar 131 2 0 05 Feb 2024
Securing Recommender System via Cooperative TrainingWorld wide web (Bussum) (WWW), 2023 Qingyang Wang Chenwang Wu Defu Lian Enhong Chen AAML 161 3 0 23 Jan 2024
Benchmarking Cognitive Biases in Large Language Models as EvaluatorsAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 Ryan Koo Linghe Wang Vipul Raheja Jong Inn Park Min Namgung Luan Tuyen Chau ALM 268 123 0 29 Sep 2023
Investigating the Robustness of Sequential Recommender Systems Against Training Data PerturbationsEuropean Conference on Information Retrieval (ECIR), 2023 Filippo Betello F. Siciliano Pushkar Mishra Fabrizio Silvestri AAML 281 8 0 24 Jul 2023
Integrating Item Relevance in Training Loss for Sequential Recommender SystemsACM Conference on Recommender Systems (RecSys), 2023 Andrea Bacciu F. Siciliano Nicola Tonellotto Fabrizio Silvestri NoLa 162 16 0 18 May 2023
Towards More Robust and Accurate Sequential Recommendation with Cascade-guided Adversarial TrainingSDM (SDM), 2023 Juntao Tan Shelby Heinecke Zhiwei Liu Yong-Guang Chen Zelong Li Haiquan Wang AAML 135 5 0 11 Apr 2023
Training Data Influence Analysis and Estimation: A SurveyMachine-mediated learning (ML), 2022 Zayd Hammoudeh Daniel Lowd TDI 345 143 0 09 Dec 2022
Towards Adversarially Robust Recommendation from Adaptive Fraudster DetectionIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2022 Y. Lai Yulin Zhu Wenqi Fan Xiaoge Zhang Wei Song AAML 135 5 0 08 Nov 2022