Recommendation System based on Generative Adversarial Network \\with Graph Convolutional Layers

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Other Title
  • グラフ畳み込み層を有する敵対的生成ネットワークによる推薦システムの提案

Description

<p>A Graph Convolutional Generative Adversarial Network (GCGAN) is proposed to effectively recommend to new users or items. To maintain scalability, the discriminator is improved to capture latent features of users and items by using graph convolution from a minibatch size bipartite graph. Through the experiment using MovieLens dataset, it is confirmed the effectiveness of the proposed GCGAN compared with the conventional methods.</p>

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Details 詳細情報について

  • CRID
    1390845713074304128
  • NII Article ID
    130007658339
  • DOI
    10.11517/pjsai.jsai2019.0_1j2j601
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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