Library and Information Service >
Study on Social Tags Relevance Judgment Optimization Based on Relative Frequency
Received date: 2016-02-15
Revised date: 2016-05-10
Online published: 2016-09-05
[Purpose/significance] To improve the recall and support the tag application research and practice, this paper optimizes the tactic proposed in our previous paper for social tags relevance judgment. [Method/process] To improve the recall, this paper took the relationship between social tags and cognition as the basis, and proposed an optimization algorithm based on relative frequency, and verified by experiments based on 675 351 Douban Movie users' social tagging data. [Result/conclusion] The results show that the effect of tag relevance judgment for tags whose frequencies are at least 5 has been improved significantly, for the recall rises sharply from 79.63% to 89.36%, and the accuracy rate falls slightly from 93.33% to 92.02%, but remains at a high level.
Key words： social tagging; tag relevance; relative frequency
Lin Xin , Shi Yu , Zhou Zhi . Study on Social Tags Relevance Judgment Optimization Based on Relative Frequency[J]. Library and Information Service, 2016 , 60(17) : 130 -135 . DOI: 10.13266/j.issn.0252-3116.2016.17.019
[1] JI A T, YEON C, KIM H N, et al. Collaborative tagging in recommender systems[C]//Ai 2007: Advances in artificial intelligence, Australian joint conference on artificial intelligence, Gold Coast, Australia.Berlin:Springer, 2007:377-386.
[2] XU H, WANG J, HUA X S, et al. Tag refinement by regularized LDA[C]//International conference on multimedia 2009, Vancouver, British Columbia.New York:ACM, 2009:573-576.
[3] 林鑫,周知. 基于活跃度指数的标签相关性判断研究[J].图书情报工作,2015,59(9):97-103.
[4] SINHA R. A cognitive analysis of tagging [EB/OL]. [2015-11-06]. http://rashmisinha.com /2005/09/27/a-cognitive-analysis-of-tagging/.
[5] 易明,曹高辉,毛进,等.基于Tag的知识主题网络构建与Web知识推送研究[J].中国图书馆学报,2011,37(4):4-12.
[6] 马费成,张斌.图书标注环境下用户的认知特征[J].中国图书馆学报,2014,40(1):4-14.
[7] VERES C. Concept modeling by the masses: folksonomy structure and interoperability[C]//Conceptual modeling-ER 2006. Berlin heidelberg:Springer, 2006: 325-338.
[8] 李枫林,张景.基于用户标注行为的相关性分析及重排序[J].情报理论与实践,2010(10):57-61.
[9] 林鑫,周知. 用户认知对标签使用行为的影响分析[J].情报理论与实践,2015,38(10):85-88.
[10] 查先进, 吕彬. 知识共享视角下的大众标注行为研究——基于标签的实证分析[J]. 图书馆论坛,2010,30(6):76-81.
[11] GOLDER S A, HUBERMAN B A. Usage patterns of collaborative tagging systems[J]. Journal of information science, 2006, 32(2): 198-208.
[12] Wikipedia. Cohen's kappa[EB/OL].[2015-02-10]. http://en.wikipedia.org/wiki/Cohen%27 s_kappa.
[13] WASH R, RADER E. Public bookmarks and private benefits: an analysis of incentives in social computing[J]. Proceedings of the american society for information science and technology, 2007, 44(1): 1-13.
[14] SEN S, LAM S K, RASHID A M, et al. Tagging, communities, vocabulary, evolution[C]//Proceedings of the 2006 20th anniversary conference on computer supported cooperative work. New York:ACM, 2006: 181-190.
/
| 〈 |
|
〉 |
