Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Maolei Huang

Biographic Data

ID10056327
NAMEMaolei Huang
GIVEN NAMESMaolei
FAMILY NAMEHuang
SIGNATUREHUANG M
AFFILIATIONSChinese Academy of Sciences
ORCID0009-0002-1861-8389
VERIFIEDYes
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2025
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Multitask-Based Self-Supervised Learning for Recommendation in Social Systems

    Open Access•Wenjian Xu, Fanxiang Zeng et al.•ARTICLE•IEEE Transactions on Computational…•2025

    In computational social systems, recommendation functionality plays a pivotal role in influencing user behavior, enhancing user experience, and driving engagement. To help recommendation functionality to better suggest relevant content or items, the social platforms usually utilize large-scale knowledge discovery techniques to analyze trends in user interactions and extract patterns from large datasets. Click-through rate (CTR) prediction is cruc…

No prominent works on this page.

  • Multitask-Based Self-Supervised Learning for Recommendation in Social Systems

    Open Access•Wenjian Xu, Fanxiang Zeng et al.•ARTICLE•IEEE Transactions on Computational…•2025

    In computational social systems, recommendation functionality plays a pivotal role in influencing user behavior, enhancing user experience, and driving engagement. To help recommendation functionality to better suggest relevant content or items, the social platforms usually utilize large-scale knowledge discovery techniques to analyze trends in user interactions and extract patterns from large datasets. Click-through rate (CTR) prediction is cruc…

Advanced Text Analysis Techniques (1 work) · Artificial Intelligence (1 work) · Computer Science (1 work) · Machine learning (1 work) · Recommender Systems and Techniques (1 work) · Sentiment Analysis and Opinion Mining (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae