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[Author] Haoran XIE(2hit)

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  • Tag-Group Based User Profiling for Personalized Search in Folksonomies

    Qing DU  Yu LIU  Dongping HUANG  Haoran XIE  Yi CAI  Huaqing MIN  

     
    PAPER-Artificial Intelligence, Data Mining

      Vol:
    E97-D No:10
      Page(s):
    2739-2747

    With the development of the Internet, there are more and more shared resources on the Web. Personalized search becomes increasingly important as users demand higher retrieval quality. Personalized search needs to take users' personalized profiles and information needs into consideration. Collaborative tagging (also known as folksonomy) systems allow users to annotate resources with their own tags (features) and thus provide a powerful way for organizing, retrieving and sharing different types of social resources. To capture and understand user preferences, a user is typically modeled as a vector of tag: value pairs (i.e., a tag-based user profile) in collaborative tagging systems. In such a tag-based user profile, a user's preference degree on a group of tags (i.e., a combination of several tags) mainly depends on the preference degree on every individual tag in the group. However, the preference degree on a combination of tags (a tag-group) cannot simply be obtained from linearly combining the preference on each tag. The combination of a user's two favorite tags may not be favorite for the user. In this article, we examine the limitations of previous tag-based personalized search. To overcome their problems, we model a user profile based on combinations of tags (tag-groups) and then apply it to the personalized search. By comparing it with the state-of-the-art methods, experimental results on a real data set shows the effectiveness of our proposed user profile method.

  • DualMotion: Global-to-Local Casual Motion Design for Character Animations

    Yichen PENG  Chunqi ZHAO  Haoran XIE  Tsukasa FUKUSATO  Kazunori MIYATA  Takeo IGARASHI  

     
    PAPER

      Pubricized:
    2022/12/07
      Vol:
    E106-D No:4
      Page(s):
    459-468

    Animating 3D characters using motion capture data requires basic expertise and manual labor. To support the creativity of animation design and make it easier for common users, we present a sketch-based interface DualMotion, with rough sketches as input for designing daily-life animations of characters, such as walking and jumping. Our approach enables to combine global motions of lower limbs and the local motion of the upper limbs in a database by utilizing a two-stage design strategy. Users are allowed to design a motion by starting with drawing a rough trajectory of a body/lower limb movement in the global design stage. The upper limb motions are then designed by drawing several more relative motion trajectories in the local design stage. We conduct a user study and verify the effectiveness and convenience of the proposed system in creative activities.