27 citations · 36 across the 5 of their papers we have counts for
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cs.IR2021★ 6 cited
New Insights into Metric Optimization for Ranking-based Recommendation
Roger Zhe Li, Julián Urbano, Alan Hanjalic
Direct optimization of IR metrics has often been adopted as an approach to devise and develop ranking-based recommender systems. Most methods following this approach aim at optimiz…
cs.IR2021★ 27 cited
Leave No User Behind: Towards Improving the Utility of Recommender Systems for Non-mainstream Users
Roger Zhe Li, Julián Urbano, Alan Hanjalic
In a collaborative-filtering recommendation scenario, biases in the data will likely propagate in the learned recommendations. In this paper we focus on the so-called mainstream bi…