情报研究

图书主题对用户标签使用行为影响研究

  • 胡潜 ,
  • 石宇
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  • 1. 华中师范大学信息管理学院 武汉 430079;
    2. 武汉大学信息管理学院 武汉 430072
胡潜(ORCID:0000-0001-9121-7034),副教授,博士,E-mail:huqian361@163.com;石宇(ORCID:0000-0002-8906-8719),硕士研究生。

收稿日期: 2016-02-17

  修回日期: 2016-04-10

  网络出版日期: 2016-04-20

基金资助

本文系教育部人文社会科学基金项目"基于企业创新价值链的知识融合服务研究"(项目编号:15YJA870005)研究成果之一。

Research on Influence of Book Subjects on Users' Social Tagging Behaviors

  • Hu Qian ,
  • Shi Yu
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  • 1. School of Information Management, Central China Normal University, Wuhan 430079;
    2. School of Information Management, Wuhan University, Wuhan 430072

Received date: 2016-02-17

  Revised date: 2016-04-10

  Online published: 2016-04-20

摘要

[目的/意义] 更全面地理解用户标签使用行为的影响因素,为标签推荐和应用实践提供指导。[方法/过程] 采用日志分析法,从人均标签个数、标签类型分布两个方面分析图书主题的影响,并以计算机、心理学、经济学、文学作品、绘画5类图书为例,基于社会化标注社区豆瓣网的用户数据进行实证分析。[结果/结论] 图书主题会对用户的标签个数及类型分布具有显著影响:①在标签个数方面,计算机、心理学、经济学、文学作品主题图书的人均标签个数相近,显著高于绘画主题图书;②在标签类型分布上,根据5类图书间的差异可分为3组:计算机、心理学和经济学、文学作品和绘画。这一结论对图书标签推荐及图书分面检索和导航系统的设计具有参考作用。

本文引用格式

胡潜 , 石宇 . 图书主题对用户标签使用行为影响研究[J]. 图书情报工作, 2016 , 60(8) : 106 -112 . DOI: 10.13266/j.issn.0252-3116.2016.08.013

Abstract

[Purpose/significance] This paper aims to fully understand the influence factors of users' social tagging behaviors and provide guidance for the tag recommendation.[Method/process] Using the method of log file analysis, this paper analyzes the influence of book subjects from the perspectives of average number of tags per user and category distribution of tags. Then it makes an empirical analysis on users data of Douban community by taking five kinds of books as samples, including computer, psychology, economics, literature and painting.[Result/conclusion] The results show that the book subject has significant influence on users' number and category distribution of tags:①for the number of tags, the average number per user on books in subjects of computer, psychology, economics and literature are similar, while higher than that of books in subject of painting;②for the category distribution of tags, based on the difference of tags category distribution, the five kinds of books are divided into three groups of computer, psychology and economics, literature and painting. These conclusions have important guidance for the book tags recommendation, and the books faceted search and navigation system design.

参考文献

[1] SA N, YUAN X. What motivates people use social tagging[J]. Online conmmnities and social computing, 2013,86:86-93.
[2] SANTOS-NETO E, CONDON D, ANDRADE N, et al. Individual and social behavior in tagging systems[C]//Proceedings of the 20th ACM conference on hypertext and hypermedia.New York:ACM, 2009:183-192.
[3] LIN Y, TRATTNER C, BRUSILOVSKY P, et al. The impact of image descriptions on user tagging behavior:a study of the nature and functionality of crowdsourced tags[J]. Journal of the Association for Information Science and Technology, 2014, 18(6):1785-1798.
[4] IVANOV I, VAJDA P, LEE J S, et al. In tags we trust:trust modeling in social tagging of multimedia content[J].IEEE signal processing magazine,2012, 29(2):98-107.
[5] NAM H, KANNAN P K. The informational value of social tagging networks[J]. Journal of marketing, 2014, 78(4):21-40.
[6] HECKNER M, NEUBAUER T, WOLFF C. Tree, funny, to read, Google:what are tagssupposed to achieve? A comparative analysis of user keywords for different digital resource types[C]//Proceedings of the 2008 ACM workshop on search in social media. New York:ACM, 2008:3-10.
[7] CHOI Y, SYN S Y. Characteristics of tagging behavior in digitized humanities online collections[J]. Journal of the Association for Information Scienceand Technology, 2015, 27(5):1-36.
[8] STROHMAIER M, KÖRNER C, KERN R. Understanding why users tag:a survey of tagging motivation literature and results from an empirical study[J]. Web semantics science services & agents on the World Wide Web, 2012, 17(4):1-11.
[9] PEESAPATI S T, WANG H C, COSLEY D. Intercultural human-photo encounters:how cultural similarity affects perceiving and tagging photographs[C]//Proceedings of the 3rd international conference on intercultural collaboration.New York:ACM, 2010:203-206.
[10] DONG Z, SHI C, SEN S, et al. War vs in forrest gump:cultural effects in tagging communities[C]//Proceedings of the Sixth International AAAI conference on weblogs and social media,2012:82-89.
[11] TSAI L C, HEANG S L, TANG K H. Analysis of keyword-based tagging behaviors of experts and novices[J]. Online information review, 2011, 35(2):272-290.
[12] GOLDER S A, HUBERMAN B A. Usage patterns of collaborative tagging systems[J]. Journal of information science, 2006, 32(2):198-208.
[13] KOWATSCH T, MAASS W. The impact of pre-defined terms on the vocabulary of collaborative indexing systems[C]//16th European conference on information systems.Galway:ECIS Standing Committee,2008:2136-2147.
[14] FU W T, KANNAMPALLIL T, KANG R, et al. Semantic imitation in social tagging[J]. ACM transactions on computer-human interaction, 2010, 17(3):283-292.
[15] 胡潜, 陈钰玮, 曹高辉. 用户交互信息接收中的感知因素及其影响——基于TAM模型的分析[J]. 数字图书馆论坛, 2015(2):36-42.
[16] 中国图书馆分类法[EB/OL].[2015-09-18]. http://www.ztflh.com/.
[17] GOLDER S A, HUBERMAN B A.The structure of collaborative tagging systems. HP labs:advanced research at HP[EB/OL].[2015-09-22].http://www.hpl.hp.corrdresearch/idl/papers/tagsdtags.pdf.
[18] SEN S, LAM S K, RASHID A M, et al. Tagging, communities, vocabulary, evolution[C]//Proceedings of the 200620th anniversary conference on computer supported cooperative work. New Yolk:ACM, 2006:181-190.
[19] 仁心. 豆瓣关注榜[EB/OL].[2015-09-18]. http://www.douban.com/group/topic/29007774/.
[20] 文津检索系统[EB/OL].[2015-09-18]. http://find.nlc.cn/.
[21] 华中师范大学图书馆[EB/OL].[2015-09-18]. http://lib.ccnu.edu.cn/.
[22] 武汉大学图书馆[EB/OL].[2015-09-18]. http://www.lib.whu.edu.cn/.
[23] Cohen's kappa[EB/OL].[2015-09-23]. http://en.wikipedia.org/wiki/Cohen%27s_kappa.
[24] 孙杰远. 教育统计学[M].北京:高等教育出版社, 2010:107-109.
[25] 科恩. 心理统计学[M].上海:华东师范大学出版社.高定国,等译, 2011:236-237.
[26] 陈景祥. R软件应用统计方法[M].大连:东北财经大学出版社, 2014:396.
[27] 林鑫, 周知. 用户认知对标签使用行为的影响分析——基于电影社会化标注数据的实证分析[J]. 情报理论与实践, 2015(10):85-88.
[28] CANTADOR I, BELLOGÍN A, VALLET D. Content-based recommendation in social tagging systems[C]//Proceedings of the fourth ACM conference on recommender systems. New York:ACM, 2010:237-240.
[29] 张云中,杨萌. Tax-folk混合导航:社会化标注系统资源聚合的新模型[J]. 中国图书馆学报,2014(3):78-89.
[30] 胡昌平,林鑫.科技文献检索中基于主题词表分面化改造的分面构建[J].情报学报,2015(12):37-48.
[31] 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(1):4-14.
[32] DONG W, FU W T. Cultural difference in image tagging[C]//Proceedings of the SIGCHI conference on human factors in computing systems. New York:ACM, 2010:981-984.
[33] ELETA I, GOLBECK J. A study of multilingual social tagging of art images:cultural bridges and diversity[C]//Proceedings of the ACM 2012 conference on computer supported cooperative work.New York:ACM, 2012:695-704.
[34] CHEN L, TSOI H K. Analysis of user tags in social music sites:implications for cultural differences[EB/OL].[2015-09-24].http://www.comp.hkbu.edu.hk/~lichen/download/hor2s06j-chen.pdf.
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