A Scalable Hybrid Research Paper Recommender System for Microsoft Academic

Anshul Kanakia
Anshul Kanakia
Zhihong Shen
Zhihong Shen

WWW '19: The Web Conference on The World Wide Web Conference WWW 2019, pp. 2893-2899, 2019.

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Keywords:
big data clustering document collection k-means recommender systemMore(1+)

Abstract:

We present the design and methodology for the large scale hybrid paper recommender system used by Microsoft Academic. The system provides recommendations for approximately 160 million English research papers and patents. Our approach handles incomplete citation information while also alleviating the cold-start problem that often affects o...More

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