Tag-based filtering for personalized bookmark recommendations

  • Authors:
  • Pavan Kumar Vatturi;Werner Geyer;Casey Dugan;Michael Muller;Beth Brownholtz

  • Affiliations:
  • Oregon State University, Corvallis, OR, USA;IBM T.J. Watson Research, Cambridge, MA, USA;IBM T.J. Watson Research, Cambridge, MA, USA;IBM T.J. Watson Research, Cambridge, MA, USA;IBM T.J. Watson Research, Cambridge, MA, USA

  • Venue:
  • Proceedings of the 17th ACM conference on Information and knowledge management
  • Year:
  • 2008

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper investigates using social tags for the purpose of making personalized content recommendations. Our tag-based recommender creates a personalized bookmark recommendation model for each user based on "current" and "general interest" tags, defined by different time intervals.