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Study on Social Tags Relevance Judgment Based on Activity Index
Received date: 2015-03-06
Revised date: 2015-04-20
Online published: 2015-05-05
[Purpose/significance] The purpose of this paper is to improve both the effect and generality of social tags relevance judgment strategies. [Method/process] On the basis of adjusting the calculation method of activity index by considering the characters of social tag relevance judgment, this paper proposes a tag relevance judgment algorithm based on multiple iteration of activity index, and verifies it by experiment based on 675351 Douban Movie users' social tagging data. [Result/conclusion] The results show that this tactic performs well whose recall is 79.6% and precision is 93.3%, and it is obviously better than Top-N social tags relevance judgment strategy. Moreover, it has good universality, and is suitable for various media such as video, audio, txt etc. Thus, it can be concluded that this tactic can solve the problem of tag relevance judgment well.
Key words： activity index; social tag; taga relevance
Lin Xin , Zhou Zhi . Study on Social Tags Relevance Judgment Based on Activity Index[J]. Library and Information Service, 2015 , 59(9) : 97 -103 . DOI: 10.13266/j.issn.0252-3116.2015.09.014
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