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Xiaohang Feng

Datos Biográficos

ID6101596
NOMBREXiaohang Feng
NOMBRESXiaohang
APELLIDOFeng
FIRMAFENG X
AFILIACIONESCarnegie Mellon University
ORCID0009-0000-0124-0610
VERIFICADOSí
TOTAL DE OBRAS1
TOTAL DE CITAS0
TOTAL COMO AUTOR1
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2025
AÑO MÁS RECIENTE DE PUBLICACIÓN2025
ÍNDICE H0
  • Visual Uniqueness in Peer-to-Peer Marketplaces

    Open Access•Xiaohang Feng, Charis X Li et al.•ARTICLE•Journal of Consumer Research•2025•Referencias: 61

    Peer-to-peer (P2P) marketplaces have seen exponential growth in recent years, featuring unique offerings from individual providers. However, scalable quantification of visual uniqueness and their impacts on platforms like Airbnb remain largely unexplored. We address this gap by developing, validating, and applying an unsupervised machine learning model to automatically extract uniqueness from images and quantify its impact on demand. We first con…

Sin obras prominentes en esta página.

  • Visual Uniqueness in Peer-to-Peer Marketplaces

    Open Access•Xiaohang Feng, Charis X Li et al.•ARTICLE•Journal of Consumer Research•2025•Referencias: 61

    Peer-to-peer (P2P) marketplaces have seen exponential growth in recent years, featuring unique offerings from individual providers. However, scalable quantification of visual uniqueness and their impacts on platforms like Airbnb remain largely unexplored. We address this gap by developing, validating, and applying an unsupervised machine learning model to automatically extract uniqueness from images and quantify its impact on demand. We first con…

Computer Science (1 obra) · Data Visualization and Analytics (1 obra) · Peer review (1 obra) · Peer-to-peer (1 obra) · Political science (1 obra) · Psychology (1 obra) · Social Psychology (1 obra) · Uniqueness (1 obra) · World Wide Web (1 obra)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae