Year
Month
(Preprint) Retrieval & Interaction Machine for Tabular Data Prediction
Jiarui Qin 秦佳锐 ¹, Weinan Zhang 张伟楠 ¹, Rong Su ², Zhirong Liu ², Weiwen Liu ², Ruiming Tang 唐睿明 ², Xiuqiang He 何秀强 ², Yong Yu 俞勇 ¹
¹ Shanghai Jiao Tong University
上海交通大学
² Huawei Noah’s Ark Lab
华为诺亚方舟实验室
arXiv, 2021-08-11
Abstract

Prediction over tabular data is an essential task in many data science applications such as recommender systems, online advertising, medical treatment, etc. Tabular data is structured into rows and columns, with each row as a data sample and each column as a feature attribute. Both the columns and rows of the tabular data carry useful patterns that could improve the model prediction performance. However, most existing models focus on the cross-column patterns yet overlook the cross-row patterns as they deal with single samples independently.

In this work, we propose a general learning framework named Retrieval & Interaction Machine (RIM) that fully exploits both cross-row and cross-column patterns among tabular data. Specifically, RIM first leverages search engine techniques to efficiently retrieve useful rows of the table to assist the label prediction of the target row, then uses feature interaction networks to capture the cross-column patterns among the target row and the retrieved rows so as to make the final label prediction.

We conduct extensive experiments on 11 datasets of three important tasks, i.e., CTR prediction (classification), top-n recommendation (ranking) and rating prediction (regression). Experimental results show that RIM achieves significant improvements over the state-of-the-art and various baselines, demonstrating the superiority and efficacy of RIM.
Retrieval & Interaction Machine for Tabular Data Prediction_1
Retrieval & Interaction Machine for Tabular Data Prediction_2
Retrieval & Interaction Machine for Tabular Data Prediction_3
Retrieval & Interaction Machine for Tabular Data Prediction_4
  • On-chip light control of semiconductor optoelectronic devices using integrated metasurfaces
  • Cheng-Long Zheng, Pei-Nan Ni, Yi-Yang Xie, Patrice Genevet
  • Opto-Electronic Advances
  • 2025-01-07
  • Ferroelectric domain engineering of lithium niobate
  • Jackson J. Chakkoria, Aditya Dubey, Arnan Mitchell, Andreas Boes
  • Opto-Electronic Advances
  • 2025-01-03
  • Smart reconfigurable metadevices made of shape memory alloy metamaterials
  • Shiqiang Zhao, Yuancheng Fan, Ruisheng Yang, Zhehao Ye, Fuli Zhang, Chen Wang, Weijia Luo, Yongzheng Wen, Ji Zhou
  • Opto-Electronic Advances
  • 2025-01-03
  • Direct detection with an optimal transfer function: toward the electrical spectral efficiency of coherent homodyne detection
  • Xingfeng Li, Jingchi Li, Xiong Ni, Hudi Liu, Qunbi Zhuge, Haoshuo Chen, William Shieh, Yikai Su
  • Opto-Electronic Science
  • 2024-12-24
  • Enhanced amplified spontaneous emission via splitted strong coupling mode in large-area plasmonic cone lattices
  • Jiazhi Yuan, Jiang Hu, Yan Zheng, Hao Wei, Jiamin Xiao, Yi Wang, Xuchao Zhao, Ye Xiang, Yong Lei, Wenxin Wang
  • Opto-Electronic Science
  • 2024-12-19
  • High-resolution tumor marker detection based on microwave photonics demodulated dual wavelength fiber laser sensor
  • Jie Hu, Weihao Lin, Liyang Shao, Chenlong Xue, Fang Zhao, Dongrui Xiao, Yang Ran, Yue Meng, Panpan He, Zhiguang Yu, Jinna Chen, Perry Ping Shum
  • Opto-Electronic Advances
  • 2024-12-16
  • High performance laser induced plasma assisted ablation by GHz burst mode femtosecond pulses
  • Jingbo Yin, Yulong Zhao, Minghui Hong
  • Opto-Electronic Advances
  • 2024-12-16
  • Sequential harmonic spin–orbit angular momentum generation in nonlinear optical crystals
  • Yutao Tang, Zixian Hu, Junhong Deng, Kingfai Li, Guixin Li
  • Opto-Electronic Advances
  • 2024-12-16
  • Design, setup, and facilitation of the speckle structured illumination endoscopic system
  • Elizabeth Abraham, Zhaowei Liu
  • Opto-Electronic Science
  • 2024-12-13
  • Ultra-high-Q photonic crystal nanobeam cavity for etchless lithium niobate on insulator (LNOI) platform
  • Zhi Jiang, Cizhe Fang, Xu Ran, Yu Gao, Ruiqing Wang, Jianguo Wang, Danyang Yao, Xuetao Gan, Yan Liu, Yue Hao, Genquan Han
  • Opto-Electronic Advances
  • 2024-10-31
  • Advanced biological imaging techniques based on metasurfaces
  • Yongjae Jo, Hyemi Park, Hyeyoung Yoon, Inki Kim
  • Opto-Electronic Advances
  • 2024-10-31
  • Orthogonal matrix of polarization combinations: concept and application to multichannel holographic recording
  • Shujun Zheng, Jiaren Tan, Hongjie Liu, Xiao Lin, Yusuke Saita, Takanori Nomura, Xiaodi Tan
  • Opto-Electronic Advances
  • 2024-10-23



  • A New Interpolation Approach and Corresponding Instance-Based Learning                                Boosting the Generalization Capability in Cross-Domain Few-shot Learning via Noise-enhanced Supervised Autoencoder
    About
    |
    Contact
    |
    Copyright © PubCard