Harnessing the power of social bookmarking for improving tag-based recommendations

作者：

Highlights：

• Used the collaborative tagging idea to produce personalized recommendations.

• Attempted utilization of the power of taxonomies through clustering of annotations.

• Experimental evaluation of the model using data from public annotation system, citeUlike.

• The approach improved prediction quality without compromising computational efficiency.

摘要

•Used the collaborative tagging idea to produce personalized recommendations.•Attempted utilization of the power of taxonomies through clustering of annotations.•Experimental evaluation of the model using data from public annotation system, citeUlike.•The approach improved prediction quality without compromising computational efficiency.

论文关键词：Recommender systems,Collaborative tagging,Clustering,Affinity propagation,citeUlike,Taxonomy

论文评审过程：Available online 21 April 2015.

论文官网地址：https://doi.org/10.1016/j.chb.2015.03.045