of given names. Participants of the challenge implemented algorithms
that were tested both offline - on data collected by the name search
engine Nameling - and online within Nameling. Here, we describe both
tasks in detail and discuss the publicly available datasets. We motivate
and explain the chosen evaluation of the challenge, and we summarize
the different approaches applied to the name recommendation tasks.
Finally, we present the rankings and winners of the offline and the
online phase. ER - TY - CHAP AU - Atzmueller, Martin AU - Doerfel, Stephan AU - Hotho, Andreas AU - Mitzlaff, Folke AU - Stumme, Gerd A2 - T1 - Face-to-Face Contacts at a Conference: Dynamics of Communities and Roles T2 - Modeling and Mining Ubiquitous Social Media PB - Springer Verlag C1 - Heidelberg, Germany PY - 2012/ VL - 7472 IS - SP - EP - UR - DO - KW - 2012 KW - conference KW - contacts KW - dynamics KW - face KW - intelligence KW - itegpub KW - kde KW - mining KW - myown KW - social KW - ubiquitous KW - venus KW - venuspub L1 - SN - N1 - N1 - AB - ER - TY - CONF AU - Atzmueller, Martin AU - Doerfel, Stephan AU - Hotho, Andreas AU - Mitzlaff, Folke AU - Stumme, Gerd A2 - T1 - Face-to-Face Contacts during LWA 2010 - Communities, Roles, and Key Players T2 - Working Notes of the LWA 2011 - Learning, Knowledge, Adaptation PB - C1 - PY - 2011/ CY - VL - IS - SP - EP - UR - DO - KW - 2011 KW - analysis KW - contacts KW - face KW - itegpub KW - kde KW - lwa KW - myown KW - venus KW - venuspub L1 - SN - N1 - N1 - AB - ER - TY - CONF AU - Rendle, Steffen AU - Schmidt-Thieme, Lars A2 - Eisterlehner, Folke A2 - Hotho, Andreas A2 - Jäschke, Robert T1 - Factor Models for Tag Recommendation in BibSonomy T2 - ECML PKDD Discovery Challenge 2009 (DC09) PB - CEUR Workshop Proceedings C1 - Bled, Slovenia PY - 2009/10 CY - VL - 497 IS - SP - 235 EP - 242 UR - http://sunsite.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-497/ DO - KW - 3d KW - folksonomy KW - kde KW - recommender KW - social KW - tensor L1 - SN - N1 - N1 - AB - This paper describes our approach to the ECML/PKDD Discovery Challenge 2009. Our approach is a pure statistical model taking no content information into account. It tries to find latent interactions between users, items and tags by factorizing the observed tagging data. The factorization model is learned by the Bayesian Personal Ranking method (BPR) which is inspired by a Bayesian analysis of personalized ranking with missing data. To prevent overfitting, we ensemble the models over several iterations and hyperparameters. Finally, we enhance the top-n lists by estimating how many tags to recommend. ER - TY - CONF AU - Hotho, Andreas AU - Jäschke, Robert AU - Schmitz, Christoph AU - Stumme, Gerd A2 - de Moor, Aldo A2 - Polovina, Simon A2 - Delugach, Harry T1 - BibSonomy: A Social Bookmark and Publication Sharing System T2 - Proceedings of the First Conceptual Structures Tool Interoperability Workshop at the 14th International Conference on Conceptual Structures PB - Aalborg Universitetsforlag C1 - Aalborg PY - 2006/ CY - VL - IS - SP - 87 EP - 102 UR - http://www.kde.cs.uni-kassel.de/stumme/papers/2006/hotho2006bibsonomy.pdf DO - KW - 2006 KW - BibSonomy KW - bookmark KW - description KW - folksonomy KW - kde KW - reference KW - social KW - system KW - tutorial L1 - SN - 87-7307-769-0 N1 - N1 - AB - Social bookmark tools are rapidly emerging on the Web. In such systems users are setting up lightweight conceptual structures called folksonomies. The reason for their immediate success is the fact that no specific skills are needed for participating. In this paper we specify a formal model for folksonomies and briefly describe our own system BibSonomy, which allows for sharing both bookmarks and publication references in a kind of personal library. ER -