- 2024
- Michael G. Schimek
, Luca Vitale, Bastian Pfeifer, Michele La Rocca:
Effective signal reconstruction from multiple ranked lists via convex optimization. Data Min. Knowl. Discov. 38(3): 1125-1169 (2024) - Michael G. Schimek
, Luca Vitale, Bastian Pfeifer, Michele La Rocca:
Correction to: Effective signal reconstruction from multiple ranked lists via convex optimization. Data Min. Knowl. Discov. 38(3): 1170 (2024) - Tetsuya Sakai
, Jinyoung Kim
, Inho Kang
:
A Versatile Framework for Evaluating Ranked Lists in Terms of Group Fairness and Relevance. ACM Trans. Inf. Syst. 42(1): 11:1-11:36 (2024) - Amin Abolghasemi
, Leif Azzopardi
, Arian Askari
, Maarten de Rijke
, Suzan Verberne
:
Measuring Bias in a Ranked List Using Term-Based Representations. ECIR (5) 2024: 3-19 - Amin Abolghasemi, Leif Azzopardi, Arian Askari, Maarten de Rijke, Suzan Verberne:
Measuring Bias in a Ranked List using Term-based Representations. CoRR abs/2403.05975 (2024) - Chuan Meng, Negar Arabzadeh, Arian Askari, Mohammad Aliannejadi, Maarten de Rijke:
Ranked List Truncation for Large Language Model-based Re-Ranking. CoRR abs/2404.18185 (2024) - 2023
- Michael Llordes
, Debasis Ganguly
, Sumit Bhatia
, Chirag Agarwal
:
Explain Like I am BM25: Interpreting a Dense Model's Ranked-List with a Sparse Approximation. SIGIR 2023: 1976-1980 - Michael Llordes, Debasis Ganguly, Sumit Bhatia
, Chirag Agarwal:
Explain like I am BM25: Interpreting a Dense Model's Ranked-List with a Sparse Approximation. CoRR abs/2304.12631 (2023) - 2022
- Xinshao Wang
, Yang Hua
, Elyor Kodirov, Neil M. Robertson:
Ranked List Loss for Deep Metric Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 5414-5429 (2022) - Jonathan Roth, Guillaume Saint-Jacques, YinYin Yu:
An Outcome Test of Discrimination for Ranked Lists. FAccT 2022: 350-356 - Daniel Roßner
, Claus Atzenbeck, Tom Gross:
The Effects of Spatial Visualization versus Ranked Lists on Quality, Time Efficiency, and Interaction. HT 2022: 132-142 - Sourav Saha, Dwaipayan Roy
, Mandar Mitra:
On modifying evaluation measures to deal with ties in ranked lists. JCDL 2022: 12 - Vishwa Vinay, Manoj Kilaru, David Arbour:
Offline Evaluation of Ranked Lists using Parametric Estimation of Propensities. SIGIR 2022: 622-632 - Dong Wang, Jianxin Li, Tianchen Zhu, Haoyi Zhou, Qishan Zhu, Yuxin Wen, Hongming Piao:
MtCut: A Multi-Task Framework for Ranked List Truncation. WSDM 2022: 1054-1062 - Tetsuya Sakai, Jin Young Kim, Inho Kang:
A Versatile Framework for Evaluating Ranked Lists in terms of Group Fairness and Relevance. CoRR abs/2204.00280 (2022) - Vishwa Vinay, Manoj Kilaru, David Arbour:
Offline Evaluation of Ranked Lists using Parametric Estimation of Propensities. CoRR abs/2206.02470 (2022) - Behnam Rahdari, Branislav Kveton, Peter Brusilovsky:
From Ranked Lists to Carousels: A Carousel Click Model. CoRR abs/2209.13426 (2022) - 2021
- Abdulrahman I. Al-Ghadir, Aqil M. Azmi
, Amir Hussain:
A novel approach to stance detection in social media tweets by fusing ranked lists and sentiments. Inf. Fusion 67: 29-40 (2021) - Chen Wu, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Learning to Truncate Ranked Lists for Information Retrieval. AAAI 2021: 4453-4461 - Shaurya Rohatgi, Jian Wu, C. Lee Giles:
Ranked List Fusion and Re-ranking with Pre-trained Transformers for ARQMath Lab. CLEF (Working Notes) 2021: 125-132 - Renze Lou, Fan Zhang, Xiaowei Zhou, Yutong Wang, Minghui Wu, Lin Sun:
A Unified Representation Learning Strategy for Open Relation Extraction with Ranked List Loss. CCL 2021: 308-323 - Chen Wu, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Learning to Truncate Ranked Lists for Information Retrieval. CoRR abs/2102.12793 (2021) - Jonathan Roth, Guillaume Saint-Jacques, YinYin Yu:
An Outcome Test of Discrimination for Ranked Lists. CoRR abs/2111.07889 (2021) - 2020
- Lili Fan
, Hongwei Zhao, Haoyu Zhao:
Wise optimisation: deep image embedding by informative pair weighting and ranked list learning. IET Image Process. 14(15): 3802-3811 (2020) - Dara Bahri, Yi Tay, Che Zheng, Donald Metzler, Andrew Tomkins:
Choppy: Cut Transformer for Ranked List Truncation. SIGIR 2020: 1513-1516 - Dara Bahri, Yi Tay, Che Zheng, Donald Metzler, Andrew Tomkins:
Choppy: Cut Transformer For Ranked List Truncation. CoRR abs/2004.13012 (2020) - 2019
- Xue Li, Xinlei Wang, Guanghua Xiao:
A comparative study of rank aggregation methods for partial and top ranked lists in genomic applications. Briefings Bioinform. 20(1): 178-189 (2019) - Rohith Dwarakanath Vallam, Ramasuri Narayanam, Srikanth G. Tamilselvam, Nicholas Mattei, Sudhanshu S. Singh, Shweta Garg, Gyana R. Parija:
DeepAggregation: A New Approach for Aggregating Incomplete Ranked Lists using Multi-Layer Graph Embedding. AAMAS 2019: 2235-2237 - Pranathi Mylavarapu, Adil Yalçin, Xan Gregg, Niklas Elmqvist
:
Ranked-List Visualization: A Graphical Perception Study. CHI 2019: 192 - Xinshao Wang
, Yang Hua, Elyor Kodirov, Guosheng Hu, Romain Garnier, Neil Martin Robertson:
Ranked List Loss for Deep Metric Learning. CVPR 2019: 5207-5216