This piece is based on two talks I gave in the spring of 2005 -- one at the O'Reilly ETech conference in March, entitled "Ontology Is Overrated", and one at the IMCExpo in April entitled "Folksonomies & Tags: The rise of user-developed classification." Th
Flickr Related Tag Browser. Einfach ein Stichwort eingeben und es erscheinen 36 Bilder. Klickt man danach auf ein beliebiges Bild dann öffnet dieses neben der Vorschau. Nun das ist noch nicht wirklich etwas Revolutionäres, aber wenn man die Maus aus de
mendation service which can be called via HTTP by BibSonomy's recommender when a user posts a bookmark or publication. All participating recommenders are called on each posting process, one of them is choosen to actually deliver the results to the user. We can then measure
This document provides an in-depth look at the process used in trying to solve real issues with the User Experience of a social bookmarking application. While it might be easy to simply take the first solution that works and assume that it’s the best solution, the first solution is very rarely the best solution. We found several solutions to several problems, and many of them worked and appeared to be decent solutions. It was only upon further investigation and doing more detailed research that we found hidden flaws in some solutions, issues with user satisfaction in other solutions, and even found some solutions that broke entirely under certain conditions.
This paper will describe the problems we faced in detail and then provide an explanation of the solutions evaluated for each problem, including the benefits and drawbacks of each solution. We will also identify the final solution chosen and why it was chosen.
Online photo services such as Flickr and Zooomr allow users
to share their photos with family, friends, and the online
community at large. An important facet of these services
is that users manually annotate their photos using so called
tags, which describe the contents of the photo or provide
additional contextual and semantical information. In this
paper we investigate how we can assist users in the tagging
phase. The contribution of our research is twofold. We
analyse a representative snapshot of Flickr and present the
results by means of a tag characterisation focussing on how
users tags photos and what information is contained in the
tagging. Based on this analysis, we present and evaluate tag
recommendation strategies to support the user in the photo
annotation task by recommending a set of tags that can be
added to the photo. The results of the empirical evaluation
show that we can effectively recommend relevant tags for a
variety of photos with different levels of exhaustiveness of
original tagging.
Ein vom Providerverband eco und von Google veranlasstes Rechtsgutachten kommt zu dem Ergebnis, dass der Gesetzentwurf, mit dem Verleger im Internet besser gestellt werden sollen, mehrere Grundrechte verletzt.
Users have very different opinions when it comes to tag clouds. Some like them, some can't stand to look at the mess. Whatever your feelings are, categorizing items (i.e. blog posts) using tags have become very popular and widely spread and can't be
This project is some kind of an experiment. The main supposition of the project is that tags specified by blogs' authors in their blog posts are associated between each other. Our tag spider runs over blogs feeds, gathers the set of tags from each blog post and then combines tag pairs from the set of tags. We suppose that pairs of associated tags can have wide applications in science, marketing and IT. We have found several methods of use. Through API you can invent your own methods of use.
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