@inproceedings{wetzker2009hybrid, 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.}, acmid = {1506255}, address = {New York, NY, USA}, author = {Wetzker, Robert and Umbrath, Winfried and Said, Alan}, booktitle = {Proceedings of the WSDM '09 Workshop on Exploiting Semantic Annotations in Information Retrieval}, doi = {10.1145/1506250.1506255}, interhash = {5a4e686feaa38748f7eac2c8a3afe51e}, intrahash = {733e1968baace40173bd30486b49a8f0}, isbn = {978-1-60558-430-0}, location = {Barcelona, Spain}, numpages = {5}, pages = {25--29}, publisher = {ACM}, series = {ESAIR '09}, title = {A hybrid approach to item recommendation in folksonomies}, url = {http://doi.acm.org/10.1145/1506250.1506255}, year = 2009 } @inproceedings{wetzker2010translating, abstract = {Collaborative tagging services (folksonomies) have been among the stars of the Web 2.0 era. They allow their users to label diverse resources with freely chosen keywords (tags). Our studies of two real-world folksonomies unveil that individual users develop highly personalized vocabularies of tags. While these meet individual needs and preferences, the considerable differences between personal tag vocabularies (personomies) impede services such as social search or customized tag recommendation. In this paper, we introduce a novel user-centric tag model that allows us to derive mappings between personal tag vocabularies and the corresponding folksonomies. Using these mappings, we can infer the meaning of user-assigned tags and can predict choices of tags a user may want to assign to new items. Furthermore, our translational approach helps in reducing common problems related to tag ambiguity, synonymous tags, or multilingualism. We evaluate the applicability of our method in tag recommendation and tag-based social search. Extensive experiments show that our translational model improves the prediction accuracy in both scenarios.}, acmid = {1718497}, address = {New York, NY, USA}, author = {Wetzker, Robert and Zimmermann, Carsten and Bauckhage, Christian and Albayrak, Sahin}, booktitle = {Proceedings of the third ACM international conference on Web search and data mining}, doi = {10.1145/1718487.1718497}, interhash = {12e89c88182a393dae8d63287f65540d}, intrahash = {224e7bdc753e1823fc17828f2c760b6e}, isbn = {978-1-60558-889-6}, location = {New York, New York, USA}, numpages = {10}, pages = {71--80}, publisher = {ACM}, series = {WSDM '10}, title = {I tag, you tag: translating tags for advanced user models}, url = {http://doi.acm.org/10.1145/1718487.1718497}, year = 2010 } @phdthesis{wetzker2010graphbased, author = {Wetzker, Robert}, file = {wetzker2010graphbased.pdf:wetzker2010graphbased.pdf:PDF}, groups = {public}, interhash = {ea052582bcb66d9cb59f970533d38b3d}, intrahash = {f5fbeb58ee950ed07bad2d07f473159d}, school = {Technische Universität Berlin}, timestamp = {2011.07.29}, title = {Graph-Based Recommendations in Broad Folksonomies}, username = {dbenz}, year = 2010 } @inproceedings{wetzker2008analyzing, abstract = {Social bookmarking systems have recently gained interestamong researches in the areas of data mining and web intelligence, as they provide a vast amount of user-generated annotations and reflect the interests of millions of people. In this paper, we discuss our initial findings obtained from analyzing a vast corpus of almost 150 million bookmarks found at del.icio.us. Apart from investigating bookmarking and tagging patterns in this data, we discuss evidence that social bookmarking systems are vulnerable to spamming and hence need to be preprocessed before any insightful analysis can be carried out. We present a method, which limits the influence of spam in social bookmarking analysis and provide conclusions and directions for future research.}, author = {Wetzker, Robert and Zimmermann, Carsten and Bauckhage, Christian}, booktitle = {Mining Social Data (MSoDa) Workshop Proceedings}, interhash = {cdd8d32ba6507335a3b856419afc71c3}, intrahash = {c71aa17db3959585ed3320dcefe7f39b}, month = {July}, organization = {ECAI 2008}, pages = {26-30}, title = {Analyzing Social Bookmarking Systems: A del.icio.us Cookbook}, url = {http://robertwetzker.com/wp-content/uploads/2008/06/wetzker_delicious_ecai2008_final.pdf}, year = 2008 } @inproceedings{wetzker2010i, abstract = {Collaborative tagging services (folksonomies) have been among the stars of theWeb 2.0 era. They allow their users to label diverse resources with freely chosen keywords (tags). Our studies of two real-world folksonomies unveil that individual users develop highly personalized vocabularies of tags. While these meet individual needs and preferences, the considerable differences between personal tag vocabularies (personomies) impede services such as social search or customized tag recommendation. In this paper, we introduce a novel user-centric tag model that allows us to derive mappings between personal tag vocabularies and the corresponding folksonomies. Using these mappings, we can infer the meaning of user-assigned tags and can predict choices of tags a user may want to assign to new items. Furthermore, our translational approach helps in reducing common problems related to tag ambiguity, synonymous tags, or multilingualism. We evaluate the applicability of our method in tag recommendation and tag-based social search. Extensive experiments show that our translational model improves the prediction accuracy in both scenarios.}, author = {Wetzker, Robert and Zimmermann, Carsten and Bauckhage, Christian and Albayrak, Sahin}, booktitle = {WSDM}, crossref = {conf/wsdm/2010}, date = {2010-02-18}, editor = {Davison, Brian D. and Suel, Torsten and Craswell, Nick and Liu, Bing}, ee = {http://doi.acm.org/10.1145/1718487.1718497}, file = {:wetzger2010translating.pdf:PDF}, groups = {public}, interhash = {12e89c88182a393dae8d63287f65540d}, intrahash = {54d5f72f2993a1c60d3070782bac69ac}, isbn = {978-1-60558-889-6}, pages = {71-80}, publisher = {ACM}, timestamp = {2010-03-02 14:12:01}, title = {I tag, you tag: translating tags for advanced user models.}, url = {http://dblp.uni-trier.de/db/conf/wsdm/wsdm2010.html#WetzkerZBA10}, username = {dbenz}, year = 2010 } @inproceedings{conf/wsdm/WetzkerZBA10, author = {Wetzker, Robert and Zimmermann, Carsten and Bauckhage, Christian and Albayrak, Sahin}, booktitle = {WSDM}, crossref = {conf/wsdm/2010}, date = {2010-02-18}, editor = {Davison, Brian D. and Suel, Torsten and Craswell, Nick and Liu, Bing}, ee = {http://doi.acm.org/10.1145/1718487.1718497}, interhash = {12e89c88182a393dae8d63287f65540d}, intrahash = {54d5f72f2993a1c60d3070782bac69ac}, isbn = {978-1-60558-889-6}, pages = {71-80}, publisher = {ACM}, title = {I tag, you tag: translating tags for advanced user models.}, url = {http://dblp.uni-trier.de/db/conf/wsdm/wsdm2010.html#WetzkerZBA10}, year = 2010 } @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://www.dai-labor.de/fileadmin/files/publications/wetzker_folksonomyrecommendation_esair2009_final.pdf}, year = 2009 } @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 }