Reranking-based Recommender System with Deep Learning

Conference object English OPEN
Saleh, Ahmed; Mai, Florian; Nishioka, Chifumi; Scherp, Ansgar; (2018)

An enormous volume of scientific content is published every year.The amount exceeds by far what a scientist can read in her entire life.In order to address this problem, we have developed and empirically evaluated a recommender system for scientific papers based on Twit... View more
  • Metrics
    0
    views in OpenAIRE
    14
    views in local repository
    6
    downloads in local repository

    The information is available from the following content providers:

    FromNumber Of ViewsNumber Of Downloads
    ZENODO 7 3
    Zenodo 7 3
Share - Bookmark

  • Download from
    ZENODO via ZENODO (Conference object, 2018)
  • Funded by
  • Cite this publication