42 citations · 104 across the 4 of their papers we have counts for
Showing 2017Show all
3 papers · 1 filter
cs.CY2017★ 21 cited
New Fairness Metrics for Recommendation that Embrace Differences
Sirui Yao, Bert Huang
We study fairness in collaborative-filtering recommender systems, which are sensitive to discrimination that exists in historical data. Biased data can lead collaborative filtering…
cs.IR2017
Beyond Parity: Fairness Objectives for Collaborative Filtering
Sirui Yao, Bert Huang
We study fairness in collaborative-filtering recommender systems, which are sensitive to discrimination that exists in historical data. Biased data can lead collaborative-filtering…
cs.LG2017★ 2 cited
Recurrent Collective Classification
Shuangfei Fan, Bert Huang
We propose a new method for training iterative collective classifiers for labeling nodes in network data. The iterative classification algorithm (ICA) is a canonical method for inc…