This paper provides a cloud-based academic recommender system that integrates multiple heterogeneous big data academic resources to deliver personalized recommendations within the academic networks. The proposed system introduces a hybrid recommendation mechanism combining content-based and collaborative filtering within a graph-based relationship model.

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Towards an Open Science—An Academic Recommendation Cloud Platform

  • Anna Kobusińska,
  • Damian Tabaczyński,
  • Victor Chang

摘要

This paper provides a cloud-based academic recommender system that integrates multiple heterogeneous big data academic resources to deliver personalized recommendations within the academic networks. The proposed system introduces a hybrid recommendation mechanism combining content-based and collaborative filtering within a graph-based relationship model.