CAIS: Community based annotation insight search in a folksonomy network

Han Chang Huang, Hung-Yu Kao

研究成果: Conference contribution

摘要

Folksonomy systems provide a way for users to share and organize bookmarks. The social relationship among users has become stronger with the rapid development of new technologies. Finding the leading objects has become an important topic. These research topics are always centered around finding the most popular pages or experts. In this paper, we propose a new notion of expertise, which we call user insight. User insight denotes the user's expertise in finding Web pages that are useful or have the potential to be popular pages before other users find them. To address the issue, we refer to three major types of Web pages, namely, isolated, well-known, and burgeoning. Burgeoning pages are exceptionally useful and attractive for users in a folksonomy system. In our paper, we build a time-based algorithm to estimate user insight. In addition, we discuss the social relationship within fan networks, and we propose a link-based algorithm called CAIS (Community-based Annotation Insight Search) to realize the reinforcement between users, communities and pages. Finally, we design several experiments to evaluate the performance of CAIS and compare it to other approaches. We prove that CAIS has a better performance for the user ranking of simulated data and real data from Del.ici.ous.

原文English
主出版物標題Proceedings - 2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011
頁面353-360
頁數8
DOIs
出版狀態Published - 2011 九月 19
事件2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011 - Kaohsiung, Taiwan
持續時間: 2011 七月 252011 七月 27

出版系列

名字Proceedings - 2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011

Other

Other2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011
國家Taiwan
城市Kaohsiung
期間11-07-2511-07-27

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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