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Multi-Interest Network with Dynamic Routing for Recommendation at Tmall

Multi-Interest Network with Dynamic Routing for Recommendation at Tmall

17 April 2019
C. Li
Zhiyuan Liu
Mengmeng Wu
Yuchi Xu
Pipei Huang
Huan Zhao
Guoliang Kang
Qiwei Chen
Wei Li
Lee
ArXivPDFHTML

Papers citing "Multi-Interest Network with Dynamic Routing for Recommendation at Tmall"

25 / 25 papers shown
Title
LONGER: Scaling Up Long Sequence Modeling in Industrial Recommenders
LONGER: Scaling Up Long Sequence Modeling in Industrial Recommenders
Zheng Chai
Qin Ren
Xijun Xiao
H. Yang
Bo Han
...
Xiang Sun
Yaocheng Tan
Peng Xu
Yuchao Zheng
Di Wu
44
0
0
07 May 2025
A Framework for Elastic Adaptation of User Multiple Intents in Sequential Recommendation
A Framework for Elastic Adaptation of User Multiple Intents in Sequential Recommendation
Zhikai Wang
Yanyan Shen
AI4TS
33
0
0
30 Apr 2025
Relative Contrastive Learning for Sequential Recommendation with Similarity-based Positive Pair Selection
Relative Contrastive Learning for Sequential Recommendation with Similarity-based Positive Pair Selection
Zhikai Wang
Yanyan Shen
Zexi Zhang
Li He
Yichun Li
Hao Gu
Yinghua Zhang
49
0
0
27 Apr 2025
An Efficient Large Recommendation Model: Towards a Resource-Optimal Scaling Law
An Efficient Large Recommendation Model: Towards a Resource-Optimal Scaling Law
Songpei Xu
Shijia Wang
Da Guo
Xianwen Guo
Qiang Xiao
Fangjian Li
Chuanjiang Luo
78
0
0
17 Feb 2025
Multi-granularity Interest Retrieval and Refinement Network for Long-Term User Behavior Modeling in CTR Prediction
Multi-granularity Interest Retrieval and Refinement Network for Long-Term User Behavior Modeling in CTR Prediction
Xiang Xu
Hao Wang
Wei Guo
L. Zhang
Wanshan Yang
R. Yu
Y. Liu
Defu Lian
Enhong Chen
33
5
0
22 Nov 2024
A Centralized-Distributed Transfer Model for Cross-Domain Recommendation
  Based on Multi-Source Heterogeneous Transfer Learning
A Centralized-Distributed Transfer Model for Cross-Domain Recommendation Based on Multi-Source Heterogeneous Transfer Learning
Ke Xu
Ziliang Wang
Wei Zheng
Yuhao Ma
Chenglin Wang
Nengxue Jiang
Cai Cao
48
4
0
14 Nov 2024
LLM-based Bi-level Multi-interest Learning Framework for Sequential Recommendation
LLM-based Bi-level Multi-interest Learning Framework for Sequential Recommendation
Shutong Qiao
Chen Gao
Wei Yuan
Yong Li
Hongzhi Yin
44
2
0
14 Nov 2024
AdaptDHM: Adaptive Distribution Hierarchical Model for Multi-Domain CTR
  Prediction
AdaptDHM: Adaptive Distribution Hierarchical Model for Multi-Domain CTR Prediction
Jinyun Li
Huiwen Zheng
Yuan-Cheng Liu
Minfang Lu
Lixia Wu
Haoyuan Hu
34
7
0
22 Nov 2022
RecD: Deduplication for End-to-End Deep Learning Recommendation Model
  Training Infrastructure
RecD: Deduplication for End-to-End Deep Learning Recommendation Model Training Infrastructure
Mark Zhao
Dhruv Choudhary
Devashish Tyagi
A. Somani
Max Kaplan
...
Jongsoo Park
Aarti Basant
Niket Agarwal
Carole-Jean Wu
Christos Kozyrakis
VLM
18
6
0
09 Nov 2022
Hierarchical Multi-Interest Co-Network For Coarse-Grained Ranking
Hierarchical Multi-Interest Co-Network For Coarse-Grained Ranking
Xu Yuan
Chengjun Xu
Qiwei Chen
Tao Zhuang
Hongjie Chen
C. Li
Junfeng Ge
AI4TS
17
0
0
19 Oct 2022
Implicit Session Contexts for Next-Item Recommendations
Implicit Session Contexts for Next-Item Recommendations
Sejoon Oh
Ankur Bhardwaj
Jongseok Han
Sungchul Kim
Ryan A. Rossi
Srijan Kumar
CML
30
9
0
18 Aug 2022
Modeling Multi-interest News Sequence for News Recommendation
Modeling Multi-interest News Sequence for News Recommendation
Rongyao Wang
Wenpeng Lu
11
2
0
15 Jul 2022
Improving Multi-Interest Network with Stable Learning
Improving Multi-Interest Network with Stable Learning
Zhaocheng Liu
Yingtao Luo
Di Zeng
Qiang Liu
Daqing Chang
Dongying Kong
Zhi Chen
HAI
42
1
0
14 Jul 2022
Cooperative Retriever and Ranker in Deep Recommenders
Cooperative Retriever and Ranker in Deep Recommenders
Xunpeng Huang
Defu Lian
Jin Chen
Liu Zheng
Xing Xie
Enhong Chen
VLM
AI4TS
22
11
0
28 Jun 2022
Sampling Is All You Need on Modeling Long-Term User Behaviors for CTR
  Prediction
Sampling Is All You Need on Modeling Long-Term User Behaviors for CTR Prediction
Yue Cao
Xiaojiang Zhou
Jiaqi Feng
Peihao Huang
Yao Xiao
Dayao Chen
Sheng Chen
82
39
0
20 May 2022
PinnerFormer: Sequence Modeling for User Representation at Pinterest
PinnerFormer: Sequence Modeling for User Representation at Pinterest
Nikil Pancha
Andrew Zhai
J. Leskovec
Charles R. Rosenberg
AI4TS
19
28
0
09 May 2022
Givens Coordinate Descent Methods for Rotation Matrix Learning in
  Trainable Embedding Indexes
Givens Coordinate Descent Methods for Rotation Matrix Learning in Trainable Embedding Indexes
Yunjiang Jiang
Han Zhang
Yiming Qiu
Yun Xiao
Bo Long
Wen-Yun Yang
19
6
0
09 Mar 2022
GIFT: Graph-guIded Feature Transfer for Cold-Start Video Click-Through
  Rate Prediction
GIFT: Graph-guIded Feature Transfer for Cold-Start Video Click-Through Rate Prediction
Sihao Hu
Yihan Cao
Yu Gong
Zhao Li
Yazheng Yang
Qingwen Liu
S. Ji
22
11
0
21 Feb 2022
Approximate Nearest Neighbor Search under Neural Similarity Metric for
  Large-Scale Recommendation
Approximate Nearest Neighbor Search under Neural Similarity Metric for Large-Scale Recommendation
Rihan Chen
Bin Liu
Han Zhu
Yao Wang
Qi Li
...
Q. hua
Junliang Jiang
Yunlong Xu
Hongbo Deng
Bo Zheng
21
20
0
14 Feb 2022
Intent Contrastive Learning for Sequential Recommendation
Intent Contrastive Learning for Sequential Recommendation
Yong-Guang Chen
Zhiwei Liu
Jia Li
Julian McAuley
Caiming Xiong
37
288
0
05 Feb 2022
Multiplex Behavioral Relation Learning for Recommendation via Memory
  Augmented Transformer Network
Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network
Lianghao Xia
Chao Huang
Yong-mei Xu
Peng Dai
Bo Zhang
Liefeng Bo
MLAU
89
122
0
08 Oct 2021
On component interactions in two-stage recommender systems
On component interactions in two-stage recommender systems
Jiri Hron
K. Krauth
Michael I. Jordan
Niki Kilbertus
CML
LRM
29
31
0
28 Jun 2021
Query Rewriting via Cycle-Consistent Translation for E-Commerce Search
Query Rewriting via Cycle-Consistent Translation for E-Commerce Search
Yiming Qiu
Kang Zhang
Han Zhang
Songlin Wang
Sulong Xu
Yun Xiao
Bo Long
Wen-Yun Yang
38
16
0
01 Mar 2021
Graph Neural Networks in Recommender Systems: A Survey
Graph Neural Networks in Recommender Systems: A Survey
Shiwen Wu
Fei Sun
Wentao Zhang
Xu Xie
Bin Cui
GNN
35
1,174
0
04 Nov 2020
Contrastive Learning for Debiased Candidate Generation in Large-Scale
  Recommender Systems
Contrastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems
Chang Zhou
Jianxin Ma
Jianwei Zhang
Jingren Zhou
Hongxia Yang
18
142
0
20 May 2020
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