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Journal of Intelligent Information Systems

, Volume 50, Issue 3, pp 479–500 | Cite as

Tag recommendation method in folksonomy based on user tagging status

  • Hong Yu
  • Bing Zhou
  • Mingyao Deng
  • Feng Hu
Article

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.

Keywords

Social tagging Tag recommendation Tagging status Probability distribution Folksonomy 

Notes

Acknowledgements

This work was supported in part by the National Natural Science Foundation of China under grant No.61379114 and No.61533020.

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Copyright information

© Springer Science+Business Media New York 2017

Authors and Affiliations

  1. 1.Chongqing Key Laboratory of Computational IntelligenceChongqing University of Posts and TelecommunicationsChongqingChina
  2. 2.Department of Computer ScienceSam Houston State UniversityHuntsvilleUSA

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