Flickr tag recommendation based on collective knowledge Export

@inproceedings{citeulike:2811674, abstract = {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.}, address = {New York, NY, USA}, author = {Sigurbj\"{o}rnsson, B\"{o}rkur and van Zwol, Roelof}, booktitle = {WWW '08: Proceeding of the 17th international conference on World Wide Web}, citeulike-article-id = {2811674}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1367497.1367542}, citeulike-linkout-1 = {http://dx.doi.org/10.1145/1367497.1367542}, doi = {10.1145/1367497.1367542}, isbn = {978-1-60558-085-2}, location = {Beijing, China}, pages = {327--336}, posted-at = {2008-11-24 09:52:23}, priority = {2}, publisher = {ACM}, title = {Flickr tag recommendation based on collective knowledge}, url = {http://dx.doi.org/10.1145/1367497.1367542}, year = {2008} }

TY - CONF ID - citeulike:2811674 L3 - citeulike-article-id:2811674 N2 - 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. CY - Beijing, China SN - 978-1-60558-085-2 AD - New York, NY, USA EP - 336 TI - Flickr tag recommendation based on collective knowledge PB - ACM T2 - WWW '08: Proceeding of the 17th international conference on World Wide Web SP - 327 AU - Sigurbjörnsson, Börkur AU - van Zwol, Roelof PY - 2008/// UR - http://dx.doi.org/10.1145/1367497.1367542 ER -