Behavior Sequence Transformer for E-commerce Recommendation in Alibaba

15 May 2019

Papers citing "Behavior Sequence Transformer for E-commerce Recommendation in Alibaba"

45 / 45 papers shown

Title
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
Filtering with Time-frequency Analysis: An Adaptive and Lightweight Model for Sequential Recommender Systems Based on Discrete Wavelet Transform Sheng Lu Mingxi Ge Jiuyi Zhang Wanli Zhu Guanjin Li Fangming Gu AI4TS 58 0 0 30 Mar 2025
Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation Jiakai Tang Sunhao Dai Teng Shi Jun Xu X. Chen Wen Chen Wu Jian Yuning Jiang LRM 65 5 0 28 Mar 2025
PRECTR: A Synergistic Framework for Integrating Personalized Search Relevance Matching and CTR Prediction Rong Chen Shuzhi Cao Ailong He Shuguang Han Jufeng Chen 54 0 0 24 Mar 2025
UQABench: Evaluating User Embedding for Prompting LLMs in Personalized Question Answering L. Liu Shilei Liu Yujin Yuan Y. Zhang Bencheng Yan ... Di Wang Wenbo Su Pengjie Wang Jian Xu Bo Zheng 51 1 0 26 Feb 2025
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
Differentiable Adversarial Attacks for Marked Temporal Point Processes Pritish Chakraborty Vinayak Gupta R. Raj Srikanta J. Bedathur A. De AAML 178 0 0 17 Jan 2025
Long-Sequence Recommendation Models Need Decoupled Embeddings Ningya Feng Junwei Pan Jialong Wu Baixu Chen Ximei Wang Qian Li Xian Hu Jie Jiang Mingsheng Long AI4TS 40 2 0 03 Oct 2024
TIMeSynC: Temporal Intent Modelling with Synchronized Context Encodings for Financial Service Applications Dwipam Katariya Juan Manuel Origgi Yage Wang Thomas Caputo AI4TS 49 0 0 01 Oct 2024
Modeling and Analyzing the Influence of Non-Item Pages on Sequential Next-Item Prediction Elisabeth Fischer Albin Zehe Andreas Hotho Daniel Schlor HAI 26 0 0 28 Aug 2024
LiRank: Industrial Large Scale Ranking Models at LinkedIn Fedor Borisyuk Mingzhou Zhou Qingquan Song Siyu Zhu B. Tiwana ... Chen-Chen Jiang Haichao Wei Maneesh Varshney Amol Ghoting Souvik Ghosh 26 1 0 10 Feb 2024
Utilizing Language Models for Tour Itinerary Recommendation N. Ho Kwan Hui Lim 9 2 0 21 Nov 2023
Ad-Rec: Advanced Feature Interactions to Address Covariate-Shifts in Recommendation Networks Muhammad Adnan Yassaman Ebrahimzadeh Maboud Divyat Mahajan Prashant J. Nair 27 3 0 28 Aug 2023
BERT4CTR: An Efficient Framework to Combine Pre-trained Language Model with Non-textual Features for CTR Prediction Dong Wang Kave Salamatian Yunqing Xia Weiwei Deng Qi Zhang 21 12 0 17 Aug 2023
Deep Task-specific Bottom Representation Network for Multi-Task Recommendation Qi Liu Zhilong Zhou Gangwei Jiang T. Ge Defu Lian 18 12 0 11 Aug 2023
Video2Action: Reducing Human Interactions in Action Annotation of App Tutorial Videos Sidong Feng Chunyang Chen Zhenchang Xing 24 11 0 07 Aug 2023
Attention Weighted Mixture of Experts with Contrastive Learning for Personalized Ranking in E-commerce Juan Gong Zhe Chen Chao Ma Zhuojian Xiao Hong Wang Guoyu Tang Lin Liu Sulong Xu Bo Long Yunjiang Jiang 16 4 0 08 Jun 2023
Robust Reinforcement Learning Objectives for Sequential Recommender Systems Melissa Mozifian Tristan Sylvain David E. Evans Li Meng OffRL 21 0 0 30 May 2023
ONCE: Boosting Content-based Recommendation with Both Open- and Closed-source Large Language Models Qijiong Liu Nuo Chen Tetsuya Sakai Xiao-Ming Wu 28 50 0 11 May 2023
Heavy-Tailed Regularization of Weight Matrices in Deep Neural Networks Xuanzhe Xiao Zengyi Li Chuanlong Xie Fengwei Zhou 21 3 0 06 Apr 2023
A Theoretical Understanding of Shallow Vision Transformers: Learning, Generalization, and Sample Complexity Hongkang Li M. Wang Sijia Liu Pin-Yu Chen ViT MLT 35 57 0 12 Feb 2023
adSformers: Personalization from Short-Term Sequences and Diversity of Representations in Etsy Ads A. Awad Denisa Roberts Eden Dolev Andrea Heyman Zahra Ebrahimzadeh Zoe Weil Marcin Mejran Vaibhav Malpani Mahir Yavuz 28 6 0 02 Feb 2023
Reusable Self-Attention Recommender Systems in Fashion Industry Applications Marjan Celikik Jacek Wasilewski Ana Peleteiro Ramallo 11 4 0 17 Jan 2023
$Ae^2I$ : A Double Autoencoder for Imputation of Missing Values Fuchang Gao 24 1 0 16 Jan 2023
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
Behavioral graph fraud detection in E-commerce Hang Yin Zitao Zhang Zhurong Wang Yilmazcan Ozyurt Weiming Liang Wenyu Dong Yang Zhao Yinan Shan 11 1 0 13 Oct 2022
Understanding or Manipulation: Rethinking Online Performance Gains of Modern Recommender Systems Zhengbang Zhu Rongjun Qin Junjie Huang Xinyi Dai Yang Yu Yong Yu Weinan Zhang 44 2 0 11 Oct 2022
PARSRec: Explainable Personalized Attention-fused Recurrent Sequential Recommendation Using Session Partial Actions E. Gholami Mohammad Motamedi A. Aravindakshan 43 9 0 16 Sep 2022
Sequential Recommendation Model for Next Purchase Prediction Xin Chen Alex Reibman Sanjay Arora 19 3 0 06 Jul 2022
PHN: Parallel heterogeneous network with soft gating for CTR prediction Ri-Qi Su Alphonse Houssou Hounye Cong Cao Muzhou Hou 13 1 0 18 Jun 2022
PinnerFormer: Sequence Modeling for User Representation at Pinterest Nikil Pancha Andrew Zhai J. Leskovec Charles R. Rosenberg AI4TS 19 28 0 09 May 2022
CowClip: Reducing CTR Prediction Model Training Time from 12 hours to 10 minutes on 1 GPU Zangwei Zheng Peng Xu Xuan Zou Da Tang Zhen Li ... Xiangzhuo Ding Fuzhao Xue Ziheng Qing Youlong Cheng Yang You VLM 37 7 0 13 Apr 2022
EvoMoE: An Evolutional Mixture-of-Experts Training Framework via Dense-To-Sparse Gate Xiaonan Nie Xupeng Miao Shijie Cao Lingxiao Ma Qibin Liu Jilong Xue Youshan Miao Yi Liu Zhi-Xin Yang Bin Cui MoMe MoE 21 22 0 29 Dec 2021
Scaling Law for Recommendation Models: Towards General-purpose User Representations Kyuyong Shin Hanock Kwak KyungHyun Kim Max Nihlén Ramström Jisu Jeong Jung-Woo Ha S. Kim ELM 36 38 0 15 Nov 2021
Sequential Modeling with Multiple Attributes for Watchlist Recommendation in E-Commerce Uriel Singer Haggai Roitman Yotam Eshel A. Nus Ido Guy Or Levi Idan Hasson E. Kiperwasser 6 28 0 18 Oct 2021
TabGNN: Multiplex Graph Neural Network for Tabular Data Prediction Xiawei Guo Yuhan Quan Huan Zhao Quanming Yao Yong Li Wei-Wei Tu 17 27 0 20 Aug 2021
Large-Scale Modeling of Mobile User Click Behaviors Using Deep Learning Xin Zhou Yang Li HAI 8 12 0 11 Aug 2021
PPT Fusion: Pyramid Patch Transformerfor a Case Study in Image Fusion Yu Fu Tianyang Xu Xiaojun Wu J. Kittler ViT 21 37 0 29 Jul 2021
InfoBehavior: Self-supervised Representation Learning for Ultra-long Behavior Sequence via Hierarchical Grouping Runshi Liu Pengda Qin Yuhong Li Weigao Wen Dong Li Kefeng Deng Qiang Wu AI4TS 13 0 0 13 Jun 2021
DMBGN: Deep Multi-Behavior Graph Networks for Voucher Redemption Rate Prediction Fengtong Xiao Lin Li Weinan Xu Jingyu Zhao Xiaofeng Yang Jun Lang Hao Wang 19 14 0 07 Jun 2021
Deep Learning for Click-Through Rate Estimation Weinan Zhang Jiarui Qin Wei Guo Ruiming Tang Xiuqiang He 3DV HAI 33 108 0 21 Apr 2021
AMEIR: Automatic Behavior Modeling, Interaction Exploration and MLP Investigation in the Recommender System Pengyu Zhao Kecheng Xiao Yuanxing Zhang Kaigui Bian Wei Yan 19 16 0 10 Jun 2020
Network On Network for Tabular Data Classification in Real-world Applications Yuanfei Luo Hao Zhou Wei-Wei Tu Yuqiang Chen Wenyuan Dai Qiang Yang 6 34 0 20 May 2020
Sequential Recommendation with Relation-Aware Kernelized Self-Attention Mingi Ji Weonyoung Joo Kyungwoo Song Yoon-Yeong Kim Il-Chul Moon AI4TS 16 30 0 15 Nov 2019
Entire Space Multi-Task Modeling via Post-Click Behavior Decomposition for Conversion Rate Prediction Hong Wen Jing Zhang Yuan Wang Fuyu Lv Wentian Bao Quan Lin Keping Yang 16 9 0 15 Oct 2019