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Listwise Learning to Rank by Exploring Unique Ratings
v1v2v3 (latest)

Listwise Learning to Rank by Exploring Unique Ratings

Web Search and Data Mining (WSDM), 2020
7 January 2020
Xiaofeng Zhu
Diego Klabjan
ArXiv (abs)PDFHTML

Papers citing "Listwise Learning to Rank by Exploring Unique Ratings"

6 / 6 papers shown
Agentic Meta-Orchestrator for Multi-task Copilots
Agentic Meta-Orchestrator for Multi-task Copilots
Xiaofeng Zhu
Yunshen Zhou
LLMAG
360
0
0
26 Oct 2025
Interactive Query Answering on Knowledge Graphs with Soft Entity Constraints
Interactive Query Answering on Knowledge Graphs with Soft Entity Constraints
Daniel Daza
Alberto Bernardi
Luca Costabello
Christophe Guéret
Masoud Mansoury
Michael Cochez
Martijn Schut
NAI
236
0
0
19 Aug 2025
Explicit and Implicit Semantic Ranking Framework
Explicit and Implicit Semantic Ranking FrameworkThe Web Conference (WWW), 2023
Xiaofeng Zhu
Thomas Lin
Vishal Anand
M. Calderwood
Eric Clausen-Brown
Gord Lueck
Wen-wai Yim
Cheng Wu
OffRL
206
3
0
11 Apr 2023
Learning List-Level Domain-Invariant Representations for Ranking
Learning List-Level Domain-Invariant Representations for RankingNeural Information Processing Systems (NeurIPS), 2022
Ruicheng Xian
Honglei Zhuang
Zhen Qin
Hamed Zamani
Jing Lu
Ji Ma
Kai Hui
Han Zhao
Xuanhui Wang
Michael Bendersky
OOD
408
11
0
21 Dec 2022
Non-Clicks Mean Irrelevant? Propensity Ratio Scoring As a Correction
Non-Clicks Mean Irrelevant? Propensity Ratio Scoring As a Correction
Nan Wang
Zhen Qin
Xuanhui Wang
Hongning Wang
CML
203
33
0
18 May 2020
Learning to Accelerate Decomposition for Multi-Directional 3D Printing
Learning to Accelerate Decomposition for Multi-Directional 3D PrintingIEEE Robotics and Automation Letters (RA-L), 2020
Chenming Wu
Yong Liu
Charlie C. L. Wang
153
8
0
17 Mar 2020
1
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