AutoField: Automating Feature Selection in Deep Recommender Systems

Author:

Wang Yejing1,Zhao Xiangyu1,Xu Tong2,Wu Xian3

Affiliation:

1. City University of Hong Kong, Hong Kong

2. University of Science and Technology of China, China

3. Tencent Inc, China

Funder

National Natural Science Foundation of China

CCF-Tencent Open Fund

Start-up Grant of the City University of Hong Kong

National Key Research and Development Program of China

Publisher

ACM

Reference50 articles.

1. Hierarchical optimization: An introduction

2. Yoshua Bengio , Aaron Courville , and Pascal Vincent . 2013. Representation learning: A review and new perspectives . IEEE transactions on pattern analysis and machine intelligence 35, 8( 2013 ), 1798–1828. Yoshua Bengio, Aaron Courville, and Pascal Vincent. 2013. Representation learning: A review and new perspectives. IEEE transactions on pattern analysis and machine intelligence 35, 8(2013), 1798–1828.

3. James Bergstra and Yoshua Bengio . 2012. Random search for hyper-parameter optimization.Journal of machine learning research 13, 2 ( 2012 ). James Bergstra and Yoshua Bengio. 2012. Random search for hyper-parameter optimization.Journal of machine learning research 13, 2 (2012).

4. Wide & Deep Learning for Recommender Systems

5. AutoFS: Automated Feature Selection via Diversity-Aware Interactive Reinforcement Learning

Cited by 32 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

2. Context-aware cross feature attentive network for click-through rate predictions;Applied Intelligence;2024-07-13

3. AutoDCS: Automated Decision Chain Selection in Deep Recommender Systems;Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10

4. When large language models meet personalization: perspectives of challenges and opportunities;World Wide Web;2024-06-28

5. Boosting Factorization Machines via Saliency-Guided Mixup;IEEE Transactions on Pattern Analysis and Machine Intelligence;2024-06

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3