Marek Lipczak, Börkur Sigurbjörnsson, Alejandro Jaimes. Understanding and leveraging tag-based relations in on-line social networks. In: Proceedings of the 23rd ACM conference on Hypertext and social media (HT’12). 2012.
While at Yahoo! Research I was involved in various projects on analyzing, extending and utilizing tagging of Flickr photos. We analyzed what type of tags users applied to their photos and devised a method for classifying those tags into semantic categories. We developed two prototypes, one for tag recommendation and and one for tag based browsing of photos. We started our tag analysis by mapping tags to WordNet broad categories and found out that while users annotations are sparse, they…
Fannr – Flickr Annotator – was a prototype application for assisting users in annotating their Flickr photos. Two types of annotation support is provided when annotating a single photo: tag recommendation and location recommendation.
Börkur Sigurbjörnsson and Roelof van Zwol. TagExplorer: Faceted Browsing of Flickr Photos. Yahoo! Labs Technical Report (YL-2010-005). 2010.
Adam Rae, Roelof van Zwol, and Börkur Sigurbjörnsson.
Improving Tag Recommendation Using Social Networks
In: RIAO’2010 : Recherche d’Information Assistée par Ordinateur / Adaptativity, Personalization and Fusion of Heterogeneous Information.
2010.
Matthijs van Leeuwen, Francesco Bonchi, Börkur Sigurbjörnsson, and Arno Siebes.
Compressing tags to find interesting media groups
In: Proceeding of the 18th ACM conference on Information and knowledge management (CIKM 2009).
2009.
Simon Overell, Börkur Sigurbjörnsson, and Roelof van Zwol.
Classifying Tags using Open Content Resources.
In: Proceedings of the Second ACM International Conference on Web Search and Data Mining (WSDM 2009).
2009.
The TagExplorer was prototype that I made while at Yahoo! Research in Barcelona. The TagExplorer enabled browsing Flickr photos using semantically organized tag clouds. The prototype combined two research projects that I was working on at the time, tag recommendation and tag classification (see references below). For example, if the user typed in London, they would be presented with photos from London (obviously), together with semantically categorized refinement suggestions, such as the locations England and Southwark or the landmarks Big…
Börkur Sigurbjörnsson, and Roelof van Zwol.
Flickr Tag Recommendation based on Collective Knowledge.
In: Proceedings of the 17th International World Wide Web Conference (WWW’08).
2008.