人造
发表于 2025-3-26 23:08:21
,John Fowles’s , and William Golding’s ,cally, 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.
Vulnerable
发表于 2025-3-27 04:35:34
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Blasphemy
发表于 2025-3-27 09:11:13
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机警
发表于 2025-3-27 11:58:08
https://doi.org/10.1007/978-3-642-49264-8cept of . and then discuss how preferences can be handled for different recommendation approaches. Furthermore, we sketch how to deal with inconsistencies such as contradicting preferences of individual users.
脖子
发表于 2025-3-27 14:52:59
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Phonophobia
发表于 2025-3-27 17:50:25
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.
内向者
发表于 2025-3-28 01:01:27
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.
的阐明
发表于 2025-3-28 05:25:13
Group Recommender Applicationsmovies and TV programs, travel destinations and events, news and web pages, healthy living, software engineering, and domain-independent recommenders. Each application is analyzed with regard to the characteristics of group recommenders as introduced in Chap. ..
碎石
发表于 2025-3-28 06:59:43
Handling Preferencescept of . and then discuss how preferences can be handled for different recommendation approaches. Furthermore, we sketch how to deal with inconsistencies such as contradicting preferences of individual users.
可耕种
发表于 2025-3-28 13:24:06
Further Choice Scenariosrios exist that differ in the way alternatives are represented and recommendations are determined. We introduce a categorization of these scenarios and discuss knowledge representation and group recommendation aspects on the basis of examples.