Recommending the World's Knowledge: Application of Recommender Systems at Quora

  title={Recommending the World's Knowledge: Application of Recommender Systems at Quora},
  author={Lei-Xing Yang and X. Amatriain},
  journal={Proceedings of the 10th ACM Conference on Recommender Systems},
  • Lei-Xing Yang, X. Amatriain
  • Published 7 September 2016
  • Computer Science, Education
  • Proceedings of the 10th ACM Conference on Recommender Systems
At Quora, our mission is to share and grow the world's knowledge. Recommender systems are at the core of this mission: we need to recommend the most important questions to people most likely to write great answers, and recommend the best answers to people interested in reading them. Driven by the above mission statement, we have a variety of interesting and challenging recommendation problems and a large, rich data set that we can work with to build novel solutions for them. In this talk, we… 
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