@inproceedings{1506255, abstract = {In this paper we consider the problem of item recommendation in collaborative tagging communities, so called folksonomies, where users annotate interesting items with tags. Rather than following a collaborative filtering or annotation-based approach to recommendation, we extend the probabilistic latent semantic analysis (PLSA) approach and present a unified recommendation model which evolves from item user and item tag co-occurrences in parallel. The inclusion of tags reduces known collaborative filtering problems related to overfitting and allows for higher quality recommendations. Experimental results on a large snapshot of the delicious bookmarking service show the scalability of our approach and an improved recommendation quality compared to two-mode collaborative or annotation based methods.}, address = {New York, NY, USA}, author = {Wetzker, Robert and Umbrath, Winfried and Said, Alan}, booktitle = {ESAIR '09: Proceedings of the WSDM '09 Workshop on Exploiting Semantic Annotations in Information Retrieval}, doi = {10.1145/1506250.1506255}, interhash = {5a4e686feaa38748f7eac2c8a3afe51e}, intrahash = {c1397d5b1bf9d8305aecbb9133bdce2c}, isbn = {978-1-60558-430-0}, location = {Barcelona, Spain}, pages = {25--29}, publisher = {ACM}, title = {A hybrid approach to item recommendation in folksonomies}, url = {http://portal.acm.org/citation.cfm?id=1506255}, year = 2009 }