ATRank: An Attention-Based User Behavior Modeling Framework for Recommendation

17 November 2017

Chang Zhou

Jinze Bai

Xiusi Chen

Papers citing "ATRank: An Attention-Based User Behavior Modeling Framework for Recommendation"

22 / 22 papers shown

Title
Theoretical Guarantees for LT-TTD: A Unified Transformer-based Architecture for Two-Level Ranking Systems Ayoub Abraich 40 0 0 07 May 2025
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 35 5 0 22 Nov 2024
MerRec: A Large-scale Multipurpose Mercari Dataset for Consumer-to-Consumer Recommendation Systems Lichi Li Zainul Din Zhen Tan Sam London Tianlong Chen Ajay Daptardar 39 0 0 22 Feb 2024
AdaptSSR: Pre-training User Model with Augmentation-Adaptive Self-Supervised Ranking Yang Yu Qi Liu Kai Zhang Yuren Zhang Chao Song Min Hou Yuqing Yuan Zhihao Ye Zaixin Zhang Sanshi Lei Yu 30 2 0 15 Oct 2023
Deep Task-specific Bottom Representation Network for Multi-Task Recommendation Qi Liu Zhilong Zhou Gangwei Jiang T. Ge Defu Lian 13 12 0 11 Aug 2023
Attention Mixtures for Time-Aware Sequential Recommendation Viet-Anh Tran Guillaume Salha-Galvan Bruno Sguerra Romain Hennequin 28 21 0 17 Apr 2023
Knowledge Enhancement for Contrastive Multi-Behavior Recommendation Hongrui Xuan Yi Liu Bohan Li Hongzhi Yin 24 66 0 13 Jan 2023
Pre-training General Trajectory Embeddings with Maximum Multi-view Entropy Coding Yan Lin Huaiyu Wan S. Guo Jilin Hu Christian S. Jensen Youfang Lin AI4TS 29 19 0 29 Jul 2022
Multi-view Multi-behavior Contrastive Learning in Recommendation Yiqing Wu Ruobing Xie Yongchun Zhu Xiang Ao Xin Chen Xu-Yao Zhang Fuzhen Zhuang Leyu Lin Qing He 10 78 0 20 Mar 2022
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
Learning to Learn a Cold-start Sequential Recommender Xiaowen Huang Jitao Sang Jian Yu Changsheng Xu DiffM CLL OffRL 13 22 0 18 Oct 2021
Dynamic Sequential Graph Learning for Click-Through Rate Prediction Yunfei Chu Xiaofu Chang Kunyang Jia Jingzhen Zhou Hongxia Yang 18 3 0 26 Sep 2021
Learning User Representations with Hypercuboids for Recommender Systems Shuai Zhang Huoyu Liu Aston Zhang Yue Hu Ce Zhang Yumeng Li Tanchao Zhu Shaojian He Wenwu Ou 20 17 0 11 Nov 2020
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
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
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
Deep Interest Evolution Network for Click-Through Rate Prediction Guorui Zhou Na Mou Ying Fan Qi Pi Weijie Bian Chang Zhou Xiaoqiang Zhu Kun Gai 13 1,042 0 11 Sep 2018
Deep neural network marketplace recommenders in online experiments Simen Eide Ning Zhou HAI 19 14 0 06 Sep 2018
Attention-based Mixture Density Recurrent Networks for History-based Recommendation Tiantian Wang Kyunghyun Cho HAI 6 8 0 22 Sep 2017
Deep Interest Network for Click-Through Rate Prediction Guorui Zhou Cheng-Ning Song Xiaoqiang Zhu Xi-Wang Dai Han Zhu Xiao Ma Yanghui Yan Junqi Jin Han Li Kun Gai 14 1,794 0 21 Jun 2017
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 218 7,923 0 17 Aug 2015
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 255 13,364 0 25 Aug 2014