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In his talk at GoRuCo 2008, Paul Dix explores the concept of **collective intelligence**, specifically focusing on **recommendation systems** and their applications. He elaborates on how these systems vary in effectiveness and can be categorized into several types, including collaborative filtering, content-based recommendations, and user-based/item-based suggestions. The presentation also covers the role of explicit and implicit data in refining these systems.
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