Boosting Factorization Machines via Saliency-Guided Mixup-Reference-Cited by-同舟云学术

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Boosting Factorization Machines via Saliency-Guided Mixup

Published:2024-06 Issue:6 Volume:46 Page:4443-4459
ISSN:0162-8828
Container-title:IEEE Transactions on Pattern Analysis and Machine Intelligence
language:
Short-container-title:IEEE Trans. Pattern Anal. Mach. Intell.

Author:

Wu Chenwang¹^ORCID,Lian Defu²^ORCID,Ge Yong³^ORCID,Zhou Min⁴^ORCID,Chen Enhong²^ORCID,Tao Dacheng⁵^ORCID

Affiliation:

1. School of Data Science, University of Science and Technology of China, Hefei, China

2. Anhui Province Key Laboratory of Big Data Analysis and Application, School of Computer Science and Technology, University of Science and Technology of China, Hefei, China

3. Eller College of Management, University of Arizona, Tucson, AZ, USA

4. Huawei Noah's Ark Lab, Shenzhen, China

5. JD Explore Academy in JD.com, Beijing, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/34/10522060/10400846.pdf?arnumber=10400846

Reference76 articles.

1. Social Collaborative Filtering by Trust

2. LightRec: A Memory and Search-Efficient Recommender System

3. Gaussian process factorization machines for context-aware recommendations

4. xDeepFM

5. Factorization Machines

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