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If a user's likes / dislikes are similar to another user's likes / dislikes , then their tastes are similar. This can be used to
If a user's likesdislikes are similar to another user's likesdislikes then their tastes are similar. This can be used to recommend products other similar users liked. This is an example of
Content based Filtering
Popularity Based Recommendation System
Collaborative Filtering
None of these
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Semantics Of A Networked World Semantics For Grid Databases First International Ifip Conference Icsnw 2004 Paris France June 2004 Revised Selected Papers Lncs 3226
Authors: Mokrane Bouzeghoub ,Carole Goble ,Vipul Kashyap ,Stefano Spaccapietra
2004 Edition
3540236090, 978-3540236092
