Web Information Retrieval in Collaborative Tagging Systems Export

@inproceedings{citeulike:1216168, abstract = {Collaborative tagging on the web has been quickly gaining ground as a new paradigm for web information retrieval, discovering and filtering. There are a number of successful deployments of collaborative tagging systems that effectively recruits the activity of human users into collecting and annotating vast amounts of web resources. They lead to an emergent categorization of web resources in terms of tags, and create a different kind of web directory. However, the current ways of exploration in the tagging space are limited, which cannot get the most out of the real value of it. This paper presents our methodology, observations, and experimental results in the way we propose how to improve the user experience in exploring information captured by collaborative tagging systems.}, author = {Choy, Sheung-On and Lui, A. K.}, citeulike-article-id = {1216168}, citeulike-linkout-0 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4061393}, journal = {Web Intelligence, 2006. WI 2006. IEEE/WIC/ACM International Conference on}, keywords = {taggingir}, pages = {352--355}, posted-at = {2007-04-24 07:59:11}, priority = {4}, title = {Web Information Retrieval in Collaborative Tagging Systems}, url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4061393}, year = {2006} }

TY - CONF ID - citeulike:1216168 L3 - citeulike-article-id:1216168 N2 - Collaborative tagging on the web has been quickly gaining ground as a new paradigm for web information retrieval, discovering and filtering. There are a number of successful deployments of collaborative tagging systems that effectively recruits the activity of human users into collecting and annotating vast amounts of web resources. They lead to an emergent categorization of web resources in terms of tags, and create a different kind of web directory. However, the current ways of exploration in the tagging space are limited, which cannot get the most out of the real value of it. This paper presents our methodology, observations, and experimental results in the way we propose how to improve the user experience in exploring information captured by collaborative tagging systems. JF - Web Intelligence, 2006. WI 2006. IEEE/WIC/ACM International Conference on EP - 355 TI - Web Information Retrieval in Collaborative Tagging Systems SP - 352 KW - taggingir AU - Choy, Sheung-On AU - Lui, AK PY - 2006/// UR - http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4061393 ER -