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.
- Claypool, M.; Brown, D.; Le, P.; and Waseda, M. 2001. Inferring user interest. IEEE Internet Computing 5(6), 32--39. Google ScholarDigital Library
- Hayes, C.; Avesani, P.; and Veeramachaneni, S. 2007. An analysis of the use of tags in a blog recommender system. In Veloso, M. M., ed., IJCAI, 2772--2777. Google ScholarDigital Library
- Millen, D. R., Feinberg, J., Kerr, B. 2006. Dogear: Social Bookmarking in the Enterprise. In Proc SIGCHI 2006. Google ScholarDigital Library
Index Terms
- Tag-based filtering for personalized bookmark recommendations
Recommendations
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