Konferenzbericht,

Tag-based User Profiling for Social Media Recommendation

, , , und .
(2008)

Zusammenfassung

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 without explicit user ratings. Experiments with collections of bookmarks and the associated tags from 42,463 users are presented and compared using the different views.

Tags

Nutzer

  • @brusilovsky
  • @zeno
  • @aho
  • @glanebridge
  • @inmantang

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