Keyword clustering for user interest profiling refinement within paper recommender systems

  title={Keyword clustering for user interest profiling refinement within paper recommender systems},
  author={Xiaoyu Tang and Qingtian Zeng},
  journal={Journal of Systems and Software},
To refine user interest profiling, this paper focuses on extending scientific subject ontology via keyword clustering and on improving the accuracy and effectiveness of recommendation of the electronic academic publications in online services. A clustering approach is proposed for domain keywords for the purpose of the subject ontology extension. Based on the keyword clusters, the construction of user interest profiles is presented on a rather fine granularity level. In the construction of user… CONTINUE READING
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