%0 Conference Paper %1 conf/www/YeungGS08 %A man Au Yeung, Ching %A Gibbins, Nicholas %A Shadbolt, Nigel %B SWKM %D 2008 %E Dolog, Peter %E Krötzsch, Markus %E Schaffert, Sebastian %E Vrandecic, Denny %I CEUR-WS.org %K generation profile tag %T A Study of User Profile Generation from Folksonomies. %U http://dblp.uni-trier.de/db/conf/www/swkm2008.html#YeungGS08 %V 356 %X Recommendation systems which aim at providing relevant information to users are becoming more and more important and desirable due to the enormous amount of information available on the Web. Crucial to the performance of a rec- ommendation system is the accuracy of the user pro¯les used to represent the interests of the users. In recent years, pop- ular collaborative tagging systems such as del.icio.us have aggregated an abundant amount of user-contributed meta- data which provides valuable information about the interests of the users. In this paper, we present our analysis on the personal data in folksonomies, and investigate how accurate user pro¯les can be generated from this data. We reveal that the majority of users possess multiple interests, and propose an algorithm to generate user pro¯les which can accurately represent these multiple interests. We also discuss how these user pro¯les can be used for recommending Web pages and organising personal data.

@inproceedings{conf/www/YeungGS08, abstract = {Recommendation systems which aim at providing relevant information to users are becoming more and more important and desirable due to the enormous amount of information available on the Web. Crucial to the performance of a rec- ommendation system is the accuracy of the user pro¯les used to represent the interests of the users. In recent years, pop- ular collaborative tagging systems such as del.icio.us have aggregated an abundant amount of user-contributed meta- data which provides valuable information about the interests of the users. In this paper, we present our analysis on the personal data in folksonomies, and investigate how accurate user pro¯les can be generated from this data. We reveal that the majority of users possess multiple interests, and propose an algorithm to generate user pro¯les which can accurately represent these multiple interests. We also discuss how these user pro¯les can be used for recommending Web pages and organising personal data.}, added-at = {2014-03-04T07:00:06.000+0100}, author = {man Au Yeung, Ching and Gibbins, Nicholas and Shadbolt, Nigel}, biburl = {https://www.bibsonomy.org/bibtex/2db21aa9ac4d18184275d7a775dc72388/inmantang}, booktitle = {SWKM}, crossref = {conf/www/2008swkm}, description = {dblp}, editor = {Dolog, Peter and Krötzsch, Markus and Schaffert, Sebastian and Vrandecic, Denny}, ee = {http://ceur-ws.org/Vol-356/paper1.pdf}, interhash = {8c985c1e43abc1a05b7995db44b05b09}, intrahash = {db21aa9ac4d18184275d7a775dc72388}, keywords = {generation profile tag}, publisher = {CEUR-WS.org}, series = {CEUR Workshop Proceedings}, timestamp = {2014-03-04T07:00:06.000+0100}, title = {A Study of User Profile Generation from Folksonomies.}, url = {http://dblp.uni-trier.de/db/conf/www/swkm2008.html#YeungGS08}, volume = 356, year = 2008 }