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Leave No User Behind: Towards Improving the Utility of Recommender Systems for Non-mainstream Users

机译：留下任何用户：朝来改进非主流用户的推荐系统的效用

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Roger Zhe Li; Julián Urbano; Alan Hanjalic;
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4. Improving on recommend speed of recommender systems by using expert users [C] . Wenqiang Xiao, Shijun Yao, Shanming Wu Chinese Control and Decision Conference . 2016

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7. Improving the Recommendation Accuracy for Cold Start Users in Trust-Based Recommender Systems [O] . Abdelghani Bellaachia, Deema Alathel 2016

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Leave No User Behind: Towards Improving the Utility of Recommender Systems for Non-mainstream Users

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