Daniela Godoy , UNCPBA, Tandil
Gustavo Rodriguez , Faculty of Exact Sciences, Tandil
Franco Scavuzzo , Faculty of Exact Sciences, Tandil
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MIC.2013.26
For recommending interesting resources, such as Web pages or pictures, in social tagging systems assessing their similarity with user profiles is crucial. Here, we analyze the role of semantic similarity to calculate the resemblance between user profiles and published resources in folksonomies. Experiments carried out with data from two social sites showed that associating semantics to tags results in more accurate similarities among elements in tagging systems and, consequently, enhances recommendations.
Daniela Godoy, Gustavo Rodriguez, Franco Scavuzzo, "Leveraging semantic similarity for folksonomy-based recommendation", IEEE Internet Computing, , no. 1, pp. 1, PrePrints PrePrints, doi:10.1109/MIC.2013.26