Binary Code based Hash Embedding for Web-scale Applications

24 August 2021

Papers citing "Binary Code based Hash Embedding for Web-scale Applications"

9 / 9 papers shown

Title
Model Size Reduction Using Frequency Based Double Hashing for Recommender Systems Caojin Zhang Yicun Liu Yuanpu Xie S. Ktena Alykhan Tejani ... Suvadip Paul Ikuhiro Ihara P. Upadhyaya Ferenc Huszár Wenzhe Shi 79 55 0 28 Jul 2020
Superbloom: Bloom filter meets Transformer John R. Anderson Qingqing Huang Walid Krichene Steffen Rendle Li Zhang 25 6 0 11 Feb 2020
Mixed Dimension Embeddings with Application to Memory-Efficient Recommendation Systems Antonio A. Ginart Maxim Naumov Dheevatsa Mudigere Jiyan Yang James Zou 77 100 0 25 Sep 2019
AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks Weiping Song Chence Shi Zhiping Xiao Zhijian Duan Yewen Xu Ming Zhang Jian Tang CML 82 856 0 29 Oct 2018
Hash Embeddings for Efficient Word Representations Dan Svenstrup Jonas Meinertz Hansen Ole Winther 50 76 0 12 Sep 2017
Deep & Cross Network for Ad Click Predictions Ruoxi Wang Bin Fu Gang Fu Mingliang Wang 104 1,233 0 17 Aug 2017
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction Huifeng Guo Ruiming Tang Yunming Ye Zhenguo Li Xiuqiang He 120 2,650 0 13 Mar 2017
Wide & Deep Learning for Recommender Systems Heng-Tze Cheng L. Koc Jeremiah Harmsen T. Shaked Tushar Chandra ... Zakaria Haque Lichan Hong Vihan Jain Xiaobing Liu Hemal Shah HAI VLM 179 3,659 0 24 Jun 2016
Feature Hashing for Large Scale Multitask Learning Kilian Q. Weinberger A. Dasgupta Josh Attenberg John Langford Alex Smola 119 1,023 0 12 Feb 2009