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Journal of Intelligent Information Systems

Erschienen in:

06.06.2017

Tag recommendation method in folksonomy based on user tagging status

verfasst von: Hong Yu, Bing Zhou, Mingyao Deng, Feng Hu

Erschienen in: Journal of Intelligent Information Systems | Ausgabe 3/2018

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Abstract

A folksonomy consists of three basic entities, namely users, tags and resources. This kind of social tagging system is a good way to index information, facilitate searches and navigate resources. The main objective of this paper is to present a novel method to improve the quality of tag recommendation. According to the statistical analysis, we find that the total number of tags used by a user changes over time in a social tagging system. Thus, this paper introduces the concept of user tagging status, namely the growing status, the mature status and the dormant status. Then, the determining user tagging status algorithm is presented considering a user’s current tagging status to be one of the three tagging status at one point. Finally, three corresponding strategies are developed to compute the tag probability distribution based on the statistical language model in order to recommend tags most likely to be used by users. Experimental results show that the proposed method is better than the compared methods at the accuracy of tag recommendation.

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Titel: Tag recommendation method in folksonomy based on user tagging status
verfasst von: Hong Yu
Bing Zhou
Mingyao Deng
Feng Hu
Publikationsdatum: 06.06.2017
Verlag: Springer US
Erschienen in: Journal of Intelligent Information Systems / Ausgabe 3/2018
Print ISSN: 0925-9902
Elektronische ISSN: 1573-7675
DOI: https://doi.org/10.1007/s10844-017-0468-1

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