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shared by Roger Chen on 19 May 08 - Cached

shared by Roger Chen on 01 Jul 08 - Cached

This, of course, relies on the fact that people's interests, preferences, and ideologies don't change too drastically over time.
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A filtering system with preference-based recommendations, in essence, is the future of the social web.
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The best implementations of a Collaborative Filtering (CF) system along with a preference based recommendation/discovery system that I have seen are always on music streaming and discovery sites.
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As you can see from above, it is certainly possible to have a good collaborative filtering system without a recommendation engine
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Collaborative Filtering (Wikipedia definition) is a mechanism used to filter large amounts of information by spreading the process of filtering among a large group of people.
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The important thing, one that not many social sites realize, is that a (CF) system that doesn't automatically match content to your preferences, is inherently flawed. The reason for this is simple: Unless you can achieve perfect diversity and independence of opinion, one point of view will always dominate another on a particular platform. The dominant point of view on the social web is a left-leaning one, and without the ability to get the most appropriate pieces of content to the people that care most about them, the right-wing point of view gets buried almost every time.
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