石光莲++杨敏

〔摘要〕传统的Folksonomy用户兴趣研究在相似性计算上更多考虑的是整体相似，不能突出用户之间的差异，同时还存在兴趣结构不符合用户自身认知等问题。形式概念分析从用户自身的认知结构出发，不仅能表示标签间的语义信息，还能形式化标签的结构关系，为用户兴趣的表征和挖掘提供了新的思路。基于FCA的用户兴趣研究较少，主要集中于单用户和用户群兴趣识别两个视角。本文在分析用户兴趣识别传统方法及局限性基础上，进一步探讨了基于FCA进行Folksonomy用户兴趣识别的基础以及现有的相关研究。

〔关键词〕大众分类法；形式概念分析；用户兴趣；述评

DOI：10.3969/j.issn.1008-0821.2017.05.029

〔中图分类号〕G25076〔文献标识码〕A〔文章编号〕1008-0821（2017）05-0172-06

A Review of User Interest Identification in Folksonomy Based on FCAShi Guanglian1Yang Min2

（1.Library，Chengdu University of TCM，Chengdu 611137，China；

2.Library，Chongqing Vocational Institute of Engineering，Chongqing 402260，China）

〔Abstract〕The traditional user interest researchs in Folksonomy，often considerate the overall similarity when similarity calculation，which can not highlight the differences between users.In addition，there are problems such as interest structure does not meet the users own cognition.Formal concept analysis which based on the users cognitive structure，can not only express the semantic information between labels，but also be used to formalize the structural relationships of tags，provieds a new train of thought for user interests characterization and excavation.There arent so many researchs about user interest in Folksonomy based on FCA，which mainly focused on two perspectives：single user and user group interest identification.The paper analysed the traditional methods and their limitations of user interest identifion.And beyond this，this paper also discussed the basis of FCA used in identifiying user interest in Folksonomy and some research about user interest based on FCA.

〔Key words〕folksonomy；formal concept analysis（FCA）；user interest；review

Folksonomy作為Web20的典型代表，充分体现了以用户为中心的理念，用户角色由从前的被动转为主动，集信息发布者和接受者为一体。目前，利用标签共享技术实现网络信息资源组织检索的Folksonomy日益盛行，被广泛应用于各种社会性网站，如社会性书签服务del.icio.us、Flickr，社会性编目网站标注服务Librarything、BibSonomy等。作为用户参与和主导的代表，Folksonomy受到了广大用户的欢迎，del.icio.us、Flickr以及豆瓣等社会性标注网站都拥有较高的访问量。Folksonomy已成为用户组织、浏览和共享网络资源强有力的工具。标签作为Folksonomy的核心数据，不仅能描述资源内容，而且反映出使用者的兴趣和需求，通过用户所使用的标签对用户兴趣进行分类、识别和资源推送，能够为用户提供个性化、多渠道、全方位的信息。2008年起，Social tagging、Folksonomy及与之相关的用……