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  3. 1810.02019
  4. Cited By
Seq2Slate: Re-ranking and Slate Optimization with RNNs

Seq2Slate: Re-ranking and Slate Optimization with RNNs

4 October 2018
Irwan Bello
Sayali Kulkarni
Sagar Jain
Craig Boutilier
Ed H. Chi
Elad Eban
Xiyang Luo
Alan Mackey
Ofer Meshi
ArXivPDFHTML

Papers citing "Seq2Slate: Re-ranking and Slate Optimization with RNNs"

38 / 38 papers shown
Title
Comprehensive List Generation for Multi-Generator Reranking
Comprehensive List Generation for Multi-Generator Reranking
Hailan Yang
Zhenyu Qi
Shuchang Liu
Xiaoyu Yang
X. U. Wang
Xiang Li
Lantao Hu
Hao Li
Kun Gai
OffRL
32
0
0
22 Apr 2025
Advancing Re-Ranking with Multimodal Fusion and Target-Oriented
  Auxiliary Tasks in E-Commerce Search
Advancing Re-Ranking with Multimodal Fusion and Target-Oriented Auxiliary Tasks in E-Commerce Search
Enqiang Xu
Xinhui Li
Zhigong Zhou
Jiahao Ji
Jinyuan Zhao
Dadong Miao
Songlin Wang
Lin Liu
Sulong Xu
41
0
0
11 Aug 2024
Do Not Wait: Learning Re-Ranking Model Without User Feedback At Serving
  Time in E-Commerce
Do Not Wait: Learning Re-Ranking Model Without User Feedback At Serving Time in E-Commerce
Yuan Wang
Zhiyu Li
Changshuo Zhang
Sirui Chen
Xiao Zhang
Jun Xu
Quan Lin
40
1
0
20 Jun 2024
Adaptively Learning to Select-Rank in Online Platforms
Adaptively Learning to Select-Rank in Online Platforms
Jingyuan Wang
Perry Dong
Ying Jin
Ruohan Zhan
Zhengyuan Zhou
CML
30
0
0
07 Jun 2024
A Preference-oriented Diversity Model Based on Mutual-information in
  Re-ranking for E-commerce Search
A Preference-oriented Diversity Model Based on Mutual-information in Re-ranking for E-commerce Search
Huimu Wang
Mingming Li
Dadong Miao
Songlin Wang
Guoyu Tang
Lin Liu
Sulong Xu
Jinghe Hu
18
1
0
24 May 2024
Make Large Language Model a Better Ranker
Make Large Language Model a Better Ranker
Wenshuo Chao
Zhi Zheng
Hengshu Zhu
Hao Liu
ALM
28
7
0
28 Mar 2024
Non-autoregressive Generative Models for Reranking Recommendation
Non-autoregressive Generative Models for Reranking Recommendation
Yuxin Ren
Qiya Yang
Yichun Wu
Wei Xu
Yalong Wang
Zhiqiang Zhang
35
5
0
10 Feb 2024
MultiSlot ReRanker: A Generic Model-based Re-Ranking Framework in
  Recommendation Systems
MultiSlot ReRanker: A Generic Model-based Re-Ranking Framework in Recommendation Systems
Q. Xiao
A. Muralidharan
B. Tiwana
Johnson Jia
Fedor Borisyuk
Aman Gupta
Dawn Woodard
OffRL
13
1
0
11 Jan 2024
A Survey on Service Route and Time Prediction in Instant Delivery:
  Taxonomy, Progress, and Prospects
A Survey on Service Route and Time Prediction in Instant Delivery: Taxonomy, Progress, and Prospects
Haomin Wen
Youfang Lin
Lixia Wu
Xiaowei Mao
Tianyu Cai
...
Guangyin Jin
Yiji Zhao
Roger Zimmermann
Jieping Ye
Huaiyu Wan
AI4TS
41
4
0
03 Sep 2023
Replace Scoring with Arrangement: A Contextual Set-to-Arrangement
  Framework for Learning-to-Rank
Replace Scoring with Arrangement: A Contextual Set-to-Arrangement Framework for Learning-to-Rank
Jiarui Jin
Xianyu Chen
Weinan Zhang
Mengyue Yang
Yang Wang
Yali Du
Yong Yu
Jun Wang
11
0
0
05 Aug 2023
Beyond Prediction: On-street Parking Recommendation using Heterogeneous
  Graph-based List-wise Ranking
Beyond Prediction: On-street Parking Recommendation using Heterogeneous Graph-based List-wise Ranking
Hanyu Sun
Xiao Shi Huang
Wei-Ying Ma
AI4TS
22
1
0
29 Apr 2023
Tile Networks: Learning Optimal Geometric Layout for Whole-page
  Recommendation
Tile Networks: Learning Optimal Geometric Layout for Whole-page Recommendation
Shuai Xiao
Zaifan Jiang
Shuang Yang
14
3
0
03 Mar 2023
PIER: Permutation-Level Interest-Based End-to-End Re-ranking Framework
  in E-commerce
PIER: Permutation-Level Interest-Based End-to-End Re-ranking Framework in E-commerce
Xiaowen Shi
Fan Yang
Ze Wang
Xiaoxu Wu
Muzhi Guan
Guogang Liao
Yongkang Wang
Xingxing Wang
Dong Wang
19
3
0
06 Feb 2023
Coordinating CAV Swarms at Intersections with a Deep Learning Model
Coordinating CAV Swarms at Intersections with a Deep Learning Model
Jiawei Zhang
Sheng Li
Li Li
34
26
0
10 Nov 2022
Intra-session Context-aware Feed Recommendation in Live Systems
Intra-session Context-aware Feed Recommendation in Live Systems
Luo Ji
Gao Liu
Mingyang Yin
Hongxia Yang
6
0
0
30 Sep 2022
Personalized Execution Time Optimization for the Scheduled Jobs
Personalized Execution Time Optimization for the Scheduled Jobs
Yang Liu
Juan Wang
Zhengxing Chen
Ian Fox
Imani Mufti
Jason Sukumaran
Baokun He
Xiling Sun
Feng Liang
8
1
0
11 Mar 2022
Context Uncertainty in Contextual Bandits with Applications to
  Recommender Systems
Context Uncertainty in Contextual Bandits with Applications to Recommender Systems
Hao Wang
Yifei Ma
Hao Ding
Yuyang Wang
38
6
0
01 Feb 2022
Re-ranking With Constraints on Diversified Exposures for Homepage
  Recommender System
Re-ranking With Constraints on Diversified Exposures for Homepage Recommender System
Qianxiu Hao
Tianze Luo
Guangda Huzhang
CML
24
8
0
12 Dec 2021
Edge-Compatible Reinforcement Learning for Recommendations
Edge-Compatible Reinforcement Learning for Recommendations
James E. Kostas
Philip S. Thomas
Georgios Theocharous
OffRL
6
0
0
10 Dec 2021
Joint Cluster Head Selection and Trajectory Planning in UAV-Aided IoT
  Networks by Reinforcement Learning with Sequential Model
Joint Cluster Head Selection and Trajectory Planning in UAV-Aided IoT Networks by Reinforcement Learning with Sequential Model
Botao Zhu
E. Bedeer
Han Nguyen
Robert Barton
Jérôme Henry
19
29
0
01 Dec 2021
An Attention Module for Convolutional Neural Networks
An Attention Module for Convolutional Neural Networks
Zhu Baozhou
P. Hofstee
Jinho Lee
Zaid Al-Ars
14
24
0
18 Aug 2021
Page-level Optimization of e-Commerce Item Recommendations
Page-level Optimization of e-Commerce Item Recommendations
Chieh Lo
Hongliang Yu
Xin Yin
Krutika Shetty
Changchen He
Kathy Hu
Justin Platz
Adam Ilardi
S. Madhvanath
16
10
0
12 Aug 2021
Conditional Sequential Slate Optimization
Conditional Sequential Slate Optimization
Yipeng Zhang
Mingjian Lu
Saratchandra Indrakanti
M. Kannadasan
A. Bagherjeiran
16
0
0
12 Aug 2021
UAV Trajectory Planning in Wireless Sensor Networks for Energy
  Consumption Minimization by Deep Reinforcement Learning
UAV Trajectory Planning in Wireless Sensor Networks for Energy Consumption Minimization by Deep Reinforcement Learning
Botao Zhu
E. Bedeer
Ha H. Nguyen
Robert Barton
Jérôme Henry
10
119
0
01 Aug 2021
Combining Reward and Rank Signals for Slate Recommendation
Combining Reward and Rank Signals for Slate Recommendation
Imad Aouali
S. Ivanov
Mike Gartrell
D. Rohde
Flavian Vasile
Victor Zaytsev
Diego Legrand
OffRL
14
4
0
26 Jul 2021
Enhancing Cross-Sectional Currency Strategies by Context-Aware Learning
  to Rank with Self-Attention
Enhancing Cross-Sectional Currency Strategies by Context-Aware Learning to Rank with Self-Attention
Daniel Poh
Bryan Lim
S. Zohren
Stephen J. Roberts
15
9
0
20 May 2021
Dynamic Slate Recommendation with Gated Recurrent Units and Thompson
  Sampling
Dynamic Slate Recommendation with Gated Recurrent Units and Thompson Sampling
Simen Eide
David S. Leslie
A. Frigessi
BDL
OffRL
19
9
0
30 Apr 2021
Set-to-Sequence Methods in Machine Learning: a Review
Set-to-Sequence Methods in Machine Learning: a Review
Mateusz Jurewicz
Leon Derczynski
BDL
27
9
0
17 Mar 2021
Variation Control and Evaluation for Generative SlateRecommendations
Variation Control and Evaluation for Generative SlateRecommendations
Shuchang Liu
Fei Sun
Yingqiang Ge
Changhua Pei
Yongfeng Zhang
19
20
0
26 Feb 2021
Managing Diversity in Airbnb Search
Managing Diversity in Airbnb Search
Mustafa Abdool
Malay Haldar
Prashant Ramanathan
Tyler Sax
Lanbo Zhang
Aamir Mansawala
Shulin Yang
Thomas Legrand
17
27
0
31 Mar 2020
AliExpress Learning-To-Rank: Maximizing Online Model Performance without
  Going Online
AliExpress Learning-To-Rank: Maximizing Online Model Performance without Going Online
Guangda Huzhang
Zhen-Jia Pang
Yongqing Gao
Yawen Liu
Weijie Shen
...
Qing Da
Anxiang Zeng
Han Yu
Yang Yu
Zhi-Hua Zhou
14
4
0
25 Mar 2020
Listwise Learning to Rank by Exploring Unique Ratings
Listwise Learning to Rank by Exploring Unique Ratings
Xiaofeng Zhu
Diego Klabjan
28
24
0
07 Jan 2020
Self-Attentive Document Interaction Networks for Permutation Equivariant
  Ranking
Self-Attentive Document Interaction Networks for Permutation Equivariant Ranking
Rama Kumar Pasumarthi
Xuanhui Wang
Michael Bendersky
Marc Najork
23
17
0
21 Oct 2019
RecSim: A Configurable Simulation Platform for Recommender Systems
RecSim: A Configurable Simulation Platform for Recommender Systems
Eugene Ie
Chih-Wei Hsu
Martin Mladenov
Vihan Jain
Sanmit Narvekar
Jing Wang
Rui Wu
Craig Boutilier
14
177
0
11 Sep 2019
Reinforcement Learning for Slate-based Recommender Systems: A Tractable
  Decomposition and Practical Methodology
Reinforcement Learning for Slate-based Recommender Systems: A Tractable Decomposition and Practical Methodology
Eugene Ie
Vihan Jain
Jing Wang
Sanmit Narvekar
Ritesh Agarwal
...
Vince Gatto
Paul Covington
Jim McFadden
Tushar Chandra
Craig Boutilier
OffRL
6
69
0
29 May 2019
Attention Augmented Convolutional Networks
Attention Augmented Convolutional Networks
Irwan Bello
Barret Zoph
Ashish Vaswani
Jonathon Shlens
Quoc V. Le
34
1,000
0
22 Apr 2019
Personalized Re-ranking for Recommendation
Personalized Re-ranking for Recommendation
Changhua Pei
Yi Zhang
Yongfeng Zhang
Fei Sun
Xiao Lin
Hanxiao Sun
Jian Wu
Peng Jiang
Wenwu Ou
OffRL
11
6
0
15 Apr 2019
Fairness in Recommendation Ranking through Pairwise Comparisons
Fairness in Recommendation Ranking through Pairwise Comparisons
Alex Beutel
Jilin Chen
Tulsee Doshi
Hai Qian
Li Wei
...
Lukasz Heldt
Zhe Zhao
Lichan Hong
Ed H. Chi
Cristos Goodrow
FaML
23
372
0
02 Mar 2019
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