LocalRank - Neighborhood-Based, Fast Computation of Tag Recommendations

, , und . E-Commerce and Web Technologies, Volume 85 von Lecture Notes in Business Information Processing, Springer Berlin Heidelberg, (2011)


On many modern Web platforms users can annotate the available online resources with freely-chosen tags. This Social Tagging data can then be used for information organization or retrieval purposes. Tag recommenders in that context are designed to help the online user in the tagging process and suggest appropriate tags for resources with the purpose to increase the tagging quality. In recent years, different algorithms have been proposed to generate tag recommendations given the ternary relationships between users, resources, and tags. Many of these algorithms however suffer from scalability and performance problems, including the popular


LocalRank - Neighborhood-Based, Fast Computation of Tag Recommendations - Springer

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