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Personalized User Interface Elements Recommendation System

  • Title of Paper:
    Personalized User Interface Elements Recommendation System
  • Journal:
    Computer Graphics International（CCF-C）
  • Summary:
    This paper introduces a personalized user interface element recommendation system, in which the model can recommend personalized user interface elements by introducing user features and user evaluations in the offline training. Through experiments, we found that compared with common machine learning algorithms, the Field-aware Factorization Machine that introduced user feature intersections has achieved a better accuracy in the recommendation, which shows the advantages of introducing user features and feature intersections in the recommendation of interface elements.
  • First Author:
    Hao Liu#,Xiangxian Li#
  • Correspondence Author:
    Wei Gai*
  • All the Authors:
    Yu Huang,Jingbo Zhou,Chenglei Yang
  • Translation or Not:
    No
  • Date of Publication:
    2022-09
  • Release Time:
    2024-11-09
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