320 citations · 1.3k across the 27 of their papers we have counts for
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cs.IR2017★ 6 cited
Patterns of Multistakeholder Recommendation
Robin Burke, Himan Abdollahpouri
Recommender systems are personalized information systems. However, in many settings, the end-user of the recommendations is not the only party whose needs must be represented in re…
cs.CY2017★ 91 cited
Multisided Fairness for Recommendation
Robin Burke
Recent work on machine learning has begun to consider issues of fairness. In this paper, we extend the concept of fairness to recommendation. In particular, we show that in some re…
cs.IR2017★ 2 cited
Weighted Random Walk Sampling for Multi-Relational Recommendation
Fatemeh Vahedian, Robin Burke, Bamshad Mobasher
In the information overloaded web, personalized recommender systems are essential tools to help users find most relevant information. The most heavily-used recommendation framework…