ICML-Correcting Exposure Bias for Link Recommendation

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Correcting Exposure Bias for Link Recommendation

             Shantanu Gupta 1 2 Hao Wang 3 Zachary Lipton 2 Yuyang Wang 4

             Abstract                 concerns about exposure bias—many missing links are false
   Link prediction methods are frequently applied in      negatives, and did not form due to lack of exposure rather
   recommender systems, e.g., to suggest citations       than a lack of affinity.
   for academic papers or friends in social networks.      Consider the example  ...

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关键词：Recommend exposure correct commend correc