Abstract
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.
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Yuan, X., Huang, Jj., Zhong, N. (2013). Preference Structure and Similarity Measure in Tag-Based Recommender Systems. In: Yoshida, T., Kou, G., Skowron, A., Cao, J., Hacid, H., Zhong, N. (eds) Active Media Technology. AMT 2013. Lecture Notes in Computer Science, vol 8210. Springer, Cham. https://doi.org/10.1007/978-3-319-02750-0_20
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DOI: https://doi.org/10.1007/978-3-319-02750-0_20
Publisher Name: Springer, Cham
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