Tag-Based User Profiling for Social Media Recommendation

@inproceedings{Hung2008TagBasedUP,
  title={Tag-Based User Profiling for Social Media Recommendation},
  author={Chia-Chuan Hung and Yi-Ching Huang and Jane Yung-jen Hsu and David Wu},
  year={2008}
}
Making recommendations for social media presents special challenges. As tagging becomes common practice at many social media sites, this research proposes a new approach to user profiling based on the tags associated with one’s personal collection of contents. To utilize the social interaction implied by tagging, a personal profile can be further extended with the tags specified by one’s social contacts. A tag-to-tag matrix is defined to enable collaborative filtering-style recommendations… CONTINUE READING

Citations

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SHOWING 1-10 OF 24 CITATIONS

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  • JSW
  • 2013
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  • T. Large-Scale Data- and Knowledge-Centered Systems
  • 2019
VIEW 3 EXCERPTS
CITES BACKGROUND

Sense-Based Topic Word Embedding Model for Item Recommendation

  • IEEE Access
  • 2019
VIEW 1 EXCERPT
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A Tag-Based Personalized News Recommendation Method

  • 2018 14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)
  • 2018

Cross-Platform Modeling of Users' Behavior on Social Media

  • 2018 IEEE International Conference on Data Mining Workshops (ICDMW)
  • 2018
VIEW 1 EXCERPT
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Modeling of User Portrait Through Social Media

  • 2018 IEEE International Conference on Multimedia and Expo (ICME)
  • 2018
VIEW 1 EXCERPT
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