Harnessing Wisdom of the Crowds Dynamics for Time-Dependent Reputation and Ranking

作者: Elizabeth M. Daly

DOI: 10.1007/978-3-7091-0294-7_10

关键词:

摘要: The “wisdom of the crowds” is a concept used to describe utility harnessing group behaviour, where user opinion evolves over time and masses collectively demonstrates wisdom. Web 2.0 new medium users are not just consumers, but also contributors.By contributing content system, become part network relationships between can be derived. Example applications collaborative bookmarking networks such as del.icio.us file sharing YouTube Flickr. These rely on contributed content, described classified using tags. wealth generated hard navigate search due difficulties in comparing documents with similar tags application traditional information retrieval scoring techniques limited. Evaluating evolving interests maybe derive quality content. In this paper, we propose technique rank based reputation. reputation combination number bookmarkers, dynamics document.Experimental results analysis presented large IBM called Dogear.

参考文章(13)
Ilya Zaihrayeu, Paulo Pinheiro da Silva, Deborah L. McGuinness, IWTrust: Improving User Trust in Answers from the Web Lecture Notes in Computer Science. pp. 384- 392 ,(2005) , 10.1007/11429760_27
Andreas Hotho, Robert Jäschke, Christoph Schmitz, Gerd Stumme, Information Retrieval in Folksonomies: Search and Ranking Lecture Notes in Computer Science. pp. 411- 426 ,(2006) , 10.1007/11762256_31
Bernardo A. Huberman, Scott A. Golder, The structure of Collaborative Tagging Systems arXiv: Digital Libraries. ,(2005)
Anders Lindgren, Avri Doria, Olov Schelén, Probabilistic Routing in intermittently connected networks Lecture Notes in Computer Science. pp. 239- 254 ,(2004) , 10.1007/978-3-540-27767-5_24
David R. Millen, Jonathan Feinberg, Bernard Kerr, Dogear: Social bookmarking in the enterprise human factors in computing systems. pp. 111- 120 ,(2006) , 10.1145/1124772.1124792
Valentina Zanardi, Licia Capra, Social ranking Proceedings of the 2008 ACM conference on Recommender systems - RecSys '08. pp. 51- 58 ,(2008) , 10.1145/1454008.1454018
Yusuke Yanbe, Adam Jatowt, Satoshi Nakamura, Katsumi Tanaka, Can social bookmarking enhance search in the web? Proceedings of the 2007 conference on Digital libraries - JCDL '07. pp. 107- 116 ,(2007) , 10.1145/1255175.1255198
Scott A. Golder, Bernardo A. Huberman, Usage patterns of collaborative tagging systems Journal of Information Science. ,vol. 32, pp. 198- 208 ,(2006) , 10.1177/0165551506062337
Paul Heymann, Georgia Koutrika, Hector Garcia-Molina, Can social bookmarking improve web search web search and data mining. pp. 195- 206 ,(2008) , 10.1145/1341531.1341558