Social tagging systems extend recommender systems from the pair (user, item) to (user, item, tag). This paper discusses the framework of similarity measure on (user, item, tag) from qualitative and quantitative perspectives. The qualitative measure makes use of the preference structure relation on (user, item, tag), and the quantitative measure makes use of reflection on (user, item, tag). The k nearest neighbors and reverse k′ nearest neighbors are used to generate recommendations. © Springer International Publishing 2013.
CITATION STYLE
Yuan, X., Huang, J. J., & Zhong, N. (2013). Preference structure and similarity measure in tag-based recommender systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8210 LNCS, pp. 193–202). Springer Verlag. https://doi.org/10.1007/978-3-319-02750-0_20
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