A Scalable Hybrid Research Paper Recommender System for Microsoft Academic

@article{Kanakia2019ASH,
  title={A Scalable Hybrid Research Paper Recommender System for Microsoft Academic},
  author={Anshul Kanakia and Zhihong Shen and Darrin Eide and Kuansan Wang},
  journal={The World Wide Web Conference},
  year={2019}
}
We present the design and methodology for the large scale hybrid paper recommender system used by Microsoft Academic. [...] Key Method We use the Microsoft Academic Graph (MAG), titles, and available abstracts of research papers to build a recommendation list for all documents, thereby combining co-citation and content based approaches.Expand
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