An approach to providing a user of a “social folksonomy” with recommendations of similar users and potentially interesting resources

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“Social folksonomies” can be regarded as new-generation folksonomies obtained by empowering classical folksonomies with some features typical of social networks. Currently, they represent the natural evolution of traditional folksonomies since the presence of social network features in them could lead to an enormous increase of their performance. In order to efficiently and effectively handle this kind of folksonomies, new approaches appear compulsory because the simple extension of the ones operating on classical folksonomies appears incapable of fully capturing the new potentials of these entities. In this paper, we first illustrate a new approach that fully exploits the “social” features of these folksonomies to provide a user with recommendations of similar users and resources. Then, we present some experiments devoted to measure its performance. Finally, we compare it with various related ones already proposed in the literature.

论文关键词:Folksonomies,Social networks,Tags,User similarity,User recommendation,Resource similarity,Resource recommendation

论文评审过程:Received 16 November 2010, Revised 18 May 2011, Accepted 3 June 2011, Available online 12 June 2011.

论文官网地址:https://doi.org/10.1016/j.knosys.2011.06.003