Extending a Research-Paper Recommendation System with Bibliometric Measures

نویسندگان

  • Sophie Siebert
  • Siddarth Dinesh
  • Stefan Feyer
چکیده

In recent years the number of academic publication increased strongly. As this information flood grows, it becomes more difficult for researchers to find relevant literature effectively. To overcome this difficulty, recommendation systems can be used which often utilize text similarity to find related documents. To improve those systems we add scientometrics as a ranking measure for popularity into these algorithms. In this paper we analyse whether and how scientometrics are useful in a recommender system.

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تاریخ انتشار 2017