interrogate
发表于 2025-3-26 21:39:47
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liposuction
发表于 2025-3-27 04:21:25
Algorithms for Group Recommendationcally, we focus on collaborative filtering, content-based filtering, constraint-based, critiquing-based, and hybrid recommendation. Throughout this chapter, we differentiate between (1) . and (2) . as basic strategies for aggregating the preferences of individual group members.
evince
发表于 2025-3-27 07:29:14
Evaluating Group Recommender Systemstechniques for group recommender systems are often the same or similar to those that are used for single user recommenders. We show how to apply these techniques on the basis of examples and introduce evaluation approaches that are specifically useful in group recommendation scenarios.
Occipital-Lobe
发表于 2025-3-27 13:15:36
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连接
发表于 2025-3-27 15:50:40
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adroit
发表于 2025-3-27 18:33:01
Explanations for Groupsrs of recommender systems want to convince users to purchase specific items. Users should better understand how the recommender system works and why a specific item has been recommended. Users should also develop a more in-depth understanding of the item domain. Consequently, explanations are design
GLIDE
发表于 2025-3-27 22:56:54
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Adenocarcinoma
发表于 2025-3-28 04:01:00
Biases in Group Decisionsigh-quality decisions. In this chapter, we provide an overview of . and show possibilities to counteract these. The overview includes (1) biases that exist in both single user and group decision making (decoy effects, serial position effects, framing, and anchoring) and (2) biases that especially oc
emission
发表于 2025-3-28 07:39:51
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忘恩负义的人
发表于 2025-3-28 12:57:20
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