Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba

6 March 2018

Papers citing "Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba"

39 / 39 papers shown

Title
Graph-Based Vector Search: An Experimental Evaluation of the State-of-the-Art Ilias Azizi Karima Echihabi Themis Palpanas 57 5 0 08 Feb 2025
GraphScale: A Framework to Enable Machine Learning over Billion-node Graphs Vipul Gupta Xin Chen Ruoyun Huang Fanlong Meng Jianjun Chen Yujun Yan GNN 38 0 0 22 Jul 2024
A Thorough Performance Benchmarking on Lightweight Embedding-based Recommender Systems Hung Vinh Tran Tong Chen Quoc Viet Hung Nguyen Zi-Rui Huang Lizhen Cui Hongzhi Yin 45 1 0 25 Jun 2024
GENIE: Watermarking Graph Neural Networks for Link Prediction Venkata Sai Pranav Bachina Ankit Gangwal Aaryan Ajay Sharma Charu Sharma 50 1 0 07 Jun 2024
Optimizing Context-Enhanced Relational Joins Viktor Sanca Manos Chatzakis Anastasia Ailamaki 27 2 0 03 Dec 2023
Scaling User Modeling: Large-scale Online User Representations for Ads Personalization in Meta Wei Zhang Dai Li Chen Liang Fang Zhou Zhongke Zhang ... Huayu Li Yunnan Wu Zhan Shu Mindi Yuan Sri Reddy 35 7 0 16 Nov 2023
A Fractional Graph Laplacian Approach to Oversmoothing Sohir Maskey Raffaele Paolino Aras Bacho Gitta Kutyniok 39 32 0 22 May 2023
PINA: Leveraging Side Information in eXtreme Multi-label Classification via Predicted Instance Neighborhood Aggregation Eli Chien Jiong Zhang Cho-Jui Hsieh Jyun-Yu Jiang Wei-Cheng Chang O. Milenkovic Hsiang-Fu Yu 33 9 0 21 May 2023
Pretrained Embeddings for E-commerce Machine Learning: When it Fails and Why? Da Xu Bo Yang 30 3 0 09 Apr 2023
High-Throughput Vector Similarity Search in Knowledge Graphs J. Mohoney Anil Pacaci S. R. Chowdhury Ali Mousavi Ihab F. Ilyas U. F. Minhas Jeffrey Pound Theodoros Rekatsinas 31 25 0 04 Apr 2023
Distributed Graph Embedding with Information-Oriented Random Walks Peng Fang Arijit Khan Siqiang Luo Fang Wang Dan Feng Zhenli Li Wei Yin Yu Cao GNN 18 11 0 28 Mar 2023
Borda Regret Minimization for Generalized Linear Dueling Bandits Yue Wu Tao Jin Hao Lou Farzad Farnoud Quanquan Gu 34 11 0 15 Mar 2023
Expediting Distributed DNN Training with Device Topology-Aware Graph Deployment Shiwei Zhang Xiaodong Yi Lansong Diao Chuan Wu Siyu Wang W. Lin GNN 22 5 0 13 Feb 2023
Two Is Better Than One: Dual Embeddings for Complementary Product Recommendations Giorgi Kvernadze P. A. Sudyanti N. Subedi Mohammadtaghi Hajiaghayi 28 2 0 28 Nov 2022
Situating Recommender Systems in Practice: Towards Inductive Learning and Incremental Updates Tobias Schnabel Mengting Wan Longqi Yang HAI 27 8 0 11 Nov 2022
DreamShard: Generalizable Embedding Table Placement for Recommender Systems Daochen Zha Louis Feng Qiaoyu Tan Zirui Liu Kwei-Herng Lai Bhargav Bhushanam Yuandong Tian A. Kejariwal Xia Hu LMTD OffRL 33 28 0 05 Oct 2022
Machine Learning-based Selection of Graph Partitioning Strategy Using the Characteristics of Graph Data and Algorithm Youngjoon Park Dongkyu Lee Tien-Cuong Bui 13 1 0 09 Sep 2022
FedRecAttack: Model Poisoning Attack to Federated Recommendation Dazhong Rong Shuai Ye Ruoyan Zhao Hon Ning Yuen Jianhai Chen Qinming He AAML FedML 24 57 0 01 Apr 2022
G $^3$ SR: Global Graph Guided Session-based Recommendation Zhiwei Deng Changdong Wang Ling Huang Jianhuang Lai Philip S. Yu 19 13 0 12 Mar 2022
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 30 11 0 21 Feb 2022
Contrastive Meta Learning with Behavior Multiplicity for Recommendation Wei Wei Chao Huang Lianghao Xia Yong-mei Xu Jiashu Zhao Dawei Yin 37 160 0 17 Feb 2022
Recommender systems based on graph embedding techniques: A comprehensive review Yue Deng 44 22 0 20 Sep 2021
AdaGNN: A multi-modal latent representation meta-learner for GNNs based on AdaBoosting Qinyi Zhu Yiou Xiao AI4CE 45 3 0 14 Aug 2021
Graph Intention Network for Click-through Rate Prediction in Sponsored Search Feng Li Zhenrui Chen Pengjie Wang Yi Ren Di Zhang Xiaoyu Zhu GNN 13 58 0 30 Mar 2021
GraphAttacker: A General Multi-Task GraphAttack Framework Jinyin Chen Dunjie Zhang Zhaoyan Ming Kejie Huang Wenrong Jiang Chen Cui AAML 38 14 0 18 Jan 2021
Personalized Food Recommendation as Constrained Question Answering over a Large-scale Food Knowledge Graph Yu Chen Ananya Subburathinam Ching-Hua Chen Mohammed J Zaki 54 66 0 05 Jan 2021
FusionStitching: Boosting Memory Intensive Computations for Deep Learning Workloads Zhen Zheng Pengzhan Zhao Guoping Long Feiwen Zhu Kai Zhu Wenyi Zhao Lansong Diao Jun Yang Wei Lin 22 29 0 23 Sep 2020
DAPPLE: A Pipelined Data Parallel Approach for Training Large Models Shiqing Fan Yi Rong Chen Meng Zongyan Cao Siyu Wang ... Jun Yang Lixue Xia Lansong Diao Xiaoyong Liu Wei Lin 21 233 0 02 Jul 2020
Adversarial Item Promotion: Vulnerabilities at the Core of Top-N Recommenders that Use Images to Address Cold Start Zhuoran Liu Martha Larson DiffM 28 27 0 02 Jun 2020
Inductive Representation Learning on Temporal Graphs Da Xu Chuanwei Ruan Evren Körpeoglu Sushant Kumar Kannan Achan AI4CE 23 610 0 19 Feb 2020
Secure Federated Submodel Learning Chaoyue Niu Fan Wu Shaojie Tang Lifeng Hua Rongfei Jia Chengfei Lv Zhihua Wu Guihai Chen FedML 14 30 0 06 Nov 2019
Large-scale Causal Approaches to Debiasing Post-click Conversion Rate Estimation with Multi-task Learning Wenhao Zhang Wentian Bao Xiao-Yang Liu Keping Yang Quan Lin Hong Wen Ramin Ramezani CML 29 104 0 16 Oct 2019
Characterizing Deep Learning Training Workloads on Alibaba-PAI Mengdi Wang Chen Meng Guoping Long Chuan Wu Jun Yang Wei Lin Yangqing Jia 25 54 0 14 Oct 2019
motif2vec: Motif Aware Node Representation Learning for Heterogeneous Networks Manoj Reddy Dareddy Mahashweta Das Hao Yang 18 25 0 22 Aug 2019
Tripartite Heterogeneous Graph Propagation for Large-scale Social Recommendation KyungHyun Kim Donghyun Kwak Hanock Kwak Young-Jin Park Sangkwon Sim Jae-Han Cho Minkyu Kim Jihun Kwon Nako Sung Jung-Woo Ha 13 19 0 24 Jul 2019
DeepTrax: Embedding Graphs of Financial Transactions C. Bayan Bruss Anish Khazane Jonathan Rider R. Serpe Antonia Gogoglou Keegan E. Hines AIFin GNN 32 43 0 16 Jul 2019
A Novel User Representation Paradigm for Making Personalized Candidate Retrieval Zheng Liu Yu Xing Jianxun Lian Defu Lian Ziyao Li Xing Xie 32 3 0 15 Jul 2019
Homogeneous Network Embedding for Massive Graphs via Reweighted Personalized PageRank Renchi Yang Jieming Shi Xiaokui Xiao Yifan Yang S. Bhowmick 17 65 0 17 Jun 2019
Knowledge-aware Complementary Product Representation Learning Da Xu Chuanwei Ruan Jason H. D. Cho Evren Körpeoglu Sushant Kumar Kannan Achan DML 33 26 0 16 Mar 2019