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Tag Recommendation Strategies in Bookmarking by Catalin Cristian is a document available to read on EtoBox.

The document proposes and evaluates several algorithms for recommending tags in social bookmarking systems. It compares an adaptation of user-based collaborative filtering, a graph-based recommender using the FolkRank algorithm, and simple methods based on counting tag occurrences. The results show that both FolkRank and collaborative filtering provide better recommendations than non-personalized baseline methods based on tag counts. However, counting-based methods are more computationally efficient for rea

Author
Catalin Cristian
Language
EN