BibSonomyburst/bibtex/4a64f17d0cfa9e444bf0a55f80c66defBibSonomy RSS feed for /bibtex/4a64f17d0cfa9e444bf0a55f80c66def2012-02-17T05:57:37+01:00http://www.bibsonomy.org/bibtex/281b491aa9856c65e635b517d760171a5/boudryboudry2011-03-24T16:45:37+01:00Folksonomies, a\_recup\_pas\_dispo, a\_voir, information, recherche <span class="authorEditorList"><a href="/author/Choy">Sheung-On Choy</a>, and <a href="/author/Lui">AK Lui</a> </span><em>Web Intelligence, 2006. WI 2006. IEEE/WIC/ACM International Conference on, </em><em>page 352--355. </em>(<em>2006</em>)Thu Mar 24 16:45:37 CET 2011Web Intelligence, 2006. {WI} 2006. {IEEE/WIC/ACM} International Conference on352--355Web Information Retrieval in Collaborative Tagging Systems2006Folksonomies, a\_recup\_pas\_dispo, a\_voir, information, recherche 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.http://www.bibsonomy.org/bibtex/227f94adbd9174347c2b851188e38f455/brusilovskybrusilovsky2009-07-01T11:12:30+02:00collaboration en information-retrieval social-navigation tagging <span class="authorEditorList"><a href="/author/Choy">Sheung-On Choy</a>, and <a href="/author/Lui">A. K. Lui</a> </span><em>page 352--355. </em>(<em>2006</em>)Wed Jul 01 11:12:30 CEST 2009Web Intelligence, 2006. WI 2006. IEEE/WIC/ACM International Conference on352--355Web Information Retrieval in Collaborative Tagging Systems2006collaboration en information-retrieval social-navigation tagging 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.http://www.bibsonomy.org/bibtex/25ff241f25e900781577bed68ed2cb217/wnpxrzwnpxrz2007-09-30T17:58:30+02:00collaborative imported ir tagging web <span class="authorEditorList"><a href="/author/Choy">Sheung-On Choy</a>, and <a href="/author/Lui">A.K. Lui</a> </span><em>Web Intelligence, 2006. WI 2006. IEEE/WIC/ACM International Conference on, </em><em>page 352-355. </em>(<em>2006</em>)Sun Sep 30 17:58:30 CEST 2007Web Intelligence, 2006. WI 2006. IEEE/WIC/ACM International Conference on352-355Web Information Retrieval in Collaborative Tagging Systems2006collaborative imported ir tagging web 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 systemsIEEE Xplore# Wrapper Resulthttp://www.bibsonomy.org/bibtex/2e178a4b3dc279ffc1f7577c897a7cf41/lysander07lysander072007-06-30T11:58:13+02:00delicious informationRetrieval search tagging <span class="authorEditorList"><a href="/author/Choy">Sheung-On Choy</a>, and <a href="/author/Lui">Andrew K. Lui</a> </span><em>Web Intelligence, </em><em>page 352-355. </em>(<em>2006</em>)Sat Jun 30 11:58:13 CEST 2007Web IntelligenceDBLP:conf/webi/2006352-355Web Information Retrieval in Collaborative Tagging Systems.2006delicious informationRetrieval search tagging http://www.bibsonomy.org/bibtex/2e178a4b3dc279ffc1f7577c897a7cf41/wnpxrzwnpxrz2007-06-29T23:15:32+02:00collaborative imported ir search tagging web <span class="authorEditorList"><a href="/author/Choy">Sheung-On Choy</a>, and <a href="/author/Lui">Andrew K. Lui</a> </span><em>Web Intelligence, </em><em>page 352-355. </em>(<em>2006</em>)Fri Jun 29 23:15:32 CEST 2007Web IntelligenceDBLP:conf/webi/2006352-355Web Information Retrieval in Collaborative Tagging Systems.2006collaborative imported ir search tagging web DBLP Record 'conf/webi/ChoyL06'http://www.bibsonomy.org/bibtex/25ff241f25e900781577bed68ed2cb217/cedricmesnagecedricmesnage2007-05-21T15:07:14+02:00socialtagging <span class="authorEditorList"><a href="/author/Choy">Sheung-On Choy</a>, and <a href="/author/Lui">A.K. Lui</a> </span><em>Web Intelligence, 2006. WI 2006. IEEE/WIC/ACM International Conference on, </em><em>page 352-355. </em>(<em>2006</em>)Mon May 21 15:07:14 CEST 2007Web Intelligence, 2006. WI 2006. IEEE/WIC/ACM International Conference on352-355Web Information Retrieval in Collaborative Tagging Systems2006socialtagging 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.Welcome to IEEE Xplore 2.0: Web Information Retrieval in Collaborative Tagging Systemshttp://www.bibsonomy.org/bibtex/22b946704574e6185c3181c68f61d5ea7/patrickdpatrickd2007-04-17T15:32:58+02:00bookmarkingsystem collaborative_tagging folksonomy information information-retrieval library20 retrieval socialbookmarking tagging web-based <span class="authorEditorList"><a href="/author/Choy">Sheung-On Choy</a>, and <a href="/author/Lui">A. K. Lui</a> </span>(<em>2006</em>)Tue Apr 17 15:32:58 CEST 2007Web Intelligence, 2006. WI 2006. IEEE/WIC/ACM International Conference on352--355Web Information Retrieval in Collaborative Tagging Systems2006bookmarkingsystem collaborative_tagging folksonomy information information-retrieval library20 retrieval socialbookmarking tagging web-based 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.library2.0http://www.bibsonomy.org/bibtex/2e178a4b3dc279ffc1f7577c897a7cf41/dblpdblp2007-01-10T00:00:00+01:00dblp <span class="authorEditorList"><a href="/author/Choy">Sheung-On Choy</a>, and <a href="/author/Lui">Andrew K. Lui</a> </span><em>Web Intelligence, </em><em>page 352-355. </em><em>IEEE Computer Society, </em>(<em>2006</em>)Wed Jan 10 00:00:00 CET 2007Web Intelligenceconf/webi/2006352-355Web Information Retrieval in Collaborative Tagging Systems.2006dblp dblp