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Jin, Yucheng (author), Tintarev, N. (author), Verbert, Katrien (author)
When recommendations become increasingly personalized, users are often presented with a narrower range of content. To mitigate this issue, diversity-enhanced user interfaces for recommender systems have in the past found to be effective in increasing overall user satisfaction with recommendations. However, users may have different requirements...
conference paper 2018