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Collaborative Tagging in Recommender Systems I Write

Ae-Ttie Ji, Cheol Yeon, Heung-Nam Kim, and Geun-Sik Jo, "Collaborative Tagging in Recommender Systems", Lecture Notes in Artificial Intelligence ("20th Australian Joint Conference on Artificial Intelligence"), Vol. 4830, pp. 377-386, Springer-Verlag, Dec. 2007

+ title : Collaborative Tagging in Recommender Systems
+ author : Ae-Ttie Ji, Cheol Yeon, Heung-Nam Kim, and Geun-Sik Jo
+ conference : 20th Australian Joint Conference on Artificial Intelligence - AustAI 2007 (acceptance rate : 31% 60/194)

abstract.
This paper proposes a collaborative filtering method with user-created tags focusing on changes of web content and internet services. Collabo-rative tagging is employed as an approach in order to grasp and filter users’ preferences for items. In addition, we explore several advantages of collabora-tive tagging for future searching and information sharing which is used for automatic analysis of user preference and recommendation. We present empiri-cal experiments using real dataset from del.icio.us to demonstrate our algorithm and evaluate performance compared with existing works.



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