TY - CONF AU - Landia, Nikolas AU - Anand, Sarabjot Singh AU - Hotho, Andreas AU - Jäschke, Robert AU - Doerfel, Stephan AU - Mitzlaff, Folke A2 - T1 - Extending FolkRank with content data T2 - Proceedings of the 4th ACM RecSys workshop on Recommender systems and the social web PB - ACM C1 - New York, NY, USA PY - 2012/ CY - VL - IS - SP - 1 EP - 8 UR - http://doi.acm.org/10.1145/2365934.2365936 DO - 10.1145/2365934.2365936 KW - tagging KW - social KW - folksonomy KW - bookmarking KW - myown KW - 2012 KW - folkrank L1 - SN - 978-1-4503-1638-5 N1 - Extending FolkRank with content data N1 - AB - Real-world tagging datasets have a large proportion of new/ untagged documents. Few approaches for recommending tags to a user for a document address this new item problem, concentrating instead on artificially created post-core datasets where it is guaranteed that the user as well as the document of each test post is known to the system and already has some tags assigned to it. In order to recommend tags for new documents, approaches are required which model documents not only based on the tags assigned to them in the past (if any), but also the content. In this paper we present a novel adaptation to the widely recognised FolkRank tag recommendation algorithm by including content data. We adapt the FolkRank graph to use word nodes instead of document nodes, enabling it to recommend tags for new documents based on their textual content. Our adaptations make FolkRank applicable to post-core 1 ie. the full real-world tagging datasets and address the new item problem in tag recommendation. For comparison, we also apply and evaluate the same methodology of including content on a simpler tag recommendation algorithm. This results in a less expensive recommender which suggests a combination of user related and document content related tags.

Including content data into FolkRank shows an improvement over plain FolkRank on full tagging datasets. However, we also observe that our simpler content-aware tag recommender outperforms FolkRank with content data. Our results suggest that an optimisation of the weighting method of FolkRank is required to achieve better results. ER - TY - JOUR AU - Benz, Dominik AU - Hotho, Andreas AU - Jäschke, Robert AU - Krause, Beate AU - Mitzlaff, Folke AU - Schmitz, Christoph AU - Stumme, Gerd T1 - The Social Bookmark and Publication Management System Bibsonomy JO - The VLDB Journal PY - 2010/12 VL - 19 IS - 6 SP - 849 EP - 875 UR - http://dx.doi.org/10.1007/s00778-010-0208-4 DO - 10.1007/s00778-010-0208-4 KW - publicationmanagment KW - bookmark KW - publikationsmanagment KW - social KW - myown KW - bibsonomy KW - publication KW - management L1 - SN - N1 - The social bookmark and publication management system bibsonomy N1 - AB - Social resource sharing systems are central elements of the Web 2.0 and use the same kind of lightweight knowledge representation, called folksonomy. Their large user communities and ever-growing networks of user-generated content have made them an attractive object of investigation for researchers from different disciplines like Social Network Analysis, Data Mining, Information Retrieval or Knowledge Discovery. In this paper, we summarize and extend our work on different aspects of this branch of Web 2.0 research, demonstrated and evaluated within our own social bookmark and publication sharing system BibSonomy, which is currently among the three most popular systems of its kind. We structure this presentation along the different interaction phases of a user with our system, coupling the relevant research questions of each phase with the corresponding implementation issues. This approach reveals in a systematic fashion important aspects and results of the broad bandwidth of folksonomy research like capturing of emergent semantics, spam detection, ranking algorithms, analogies to search engine log data, personalized tag recommendations and information extraction techniques. We conclude that when integrating a real-life application like BibSonomy into research, certain constraints have to be considered; but in general, the tight interplay between our scientific work and the running system has made BibSonomy a valuable platform for demonstrating and evaluating Web 2.0 research. ER - TY - JOUR AU - Benz, Dominik AU - Hotho, Andreas AU - Jäschke, Robert AU - Krause, Beate AU - Mitzlaff, Folke AU - Schmitz, Christoph AU - Stumme, Gerd T1 - The Social Bookmark and Publication Management System Bibsonomy JO - The VLDB Journal PY - 2010/12 VL - 19 IS - 6 SP - 849 EP - 875 UR - http://dx.doi.org/10.1007/s00778-010-0208-4 DO - 10.1007/s00778-010-0208-4 KW - bookmark KW - social KW - benz L1 - SN - N1 - The social bookmark and publication management system bibsonomy N1 - AB - Social resource sharing systems are central elements of the Web 2.0 and use the same kind of lightweight knowledge representation, called folksonomy. Their large user communities and ever-growing networks of user-generated content have made them an attractive object of investigation for researchers from different disciplines like Social Network Analysis, Data Mining, Information Retrieval or Knowledge Discovery. In this paper, we summarize and extend our work on different aspects of this branch of Web 2.0 research, demonstrated and evaluated within our own social bookmark and publication sharing system BibSonomy, which is currently among the three most popular systems of its kind. We structure this presentation along the different interaction phases of a user with our system, coupling the relevant research questions of each phase with the corresponding implementation issues. This approach reveals in a systematic fashion important aspects and results of the broad bandwidth of folksonomy research like capturing of emergent semantics, spam detection, ranking algorithms, analogies to search engine log data, personalized tag recommendations and information extraction techniques. We conclude that when integrating a real-life application like BibSonomy into research, certain constraints have to be considered; but in general, the tight interplay between our scientific work and the running system has made BibSonomy a valuable platform for demonstrating and evaluating Web 2.0 research. ER - TY - JOUR AU - Benz, Dominik AU - Hotho, Andreas AU - Jäschke, Robert AU - Krause, Beate AU - Mitzlaff, Folke AU - Schmitz, Christoph AU - Stumme, Gerd T1 - The Social Bookmark and Publication Management System Bibsonomy JO - The VLDB Journal PY - 2010/12 VL - 19 IS - 6 SP - 849 EP - 875 UR - http://dx.doi.org/10.1007/s00778-010-0208-4 DO - 10.1007/s00778-010-0208-4 KW - bookmark KW - bibtex KW - social KW - publication KW - management L1 - SN - N1 - The social bookmark and publication management system bibsonomy N1 - AB - Social resource sharing systems are central elements of the Web 2.0 and use the same kind of lightweight knowledge representation, called folksonomy. Their large user communities and ever-growing networks of user-generated content have made them an attractive object of investigation for researchers from different disciplines like Social Network Analysis, Data Mining, Information Retrieval or Knowledge Discovery. In this paper, we summarize and extend our work on different aspects of this branch of Web 2.0 research, demonstrated and evaluated within our own social bookmark and publication sharing system BibSonomy, which is currently among the three most popular systems of its kind. We structure this presentation along the different interaction phases of a user with our system, coupling the relevant research questions of each phase with the corresponding implementation issues. This approach reveals in a systematic fashion important aspects and results of the broad bandwidth of folksonomy research like capturing of emergent semantics, spam detection, ranking algorithms, analogies to search engine log data, personalized tag recommendations and information extraction techniques. We conclude that when integrating a real-life application like BibSonomy into research, certain constraints have to be considered; but in general, the tight interplay between our scientific work and the running system has made BibSonomy a valuable platform for demonstrating and evaluating Web 2.0 research. ER - TY - CONF AU - Jäschke, Robert AU - Hotho, Andreas AU - Schmitz, Christoph AU - Stumme, Gerd A2 - Priss, U. A2 - Polovina, S. A2 - Hill, R. T1 - Analysis of the Publication Sharing Behaviour in BibSonomy T2 - Proceedings of the 15th International Conference on Conceptual Structures (ICCS 2007) PB - Springer-Verlag C1 - Berlin, Heidelberg PY - 2007/07 CY - VL - 4604 IS - SP - 283 EP - 295 UR - DO - KW - 2007 KW - dfg KW - trias KW - social KW - analysis KW - folksonomy KW - bookmarking KW - fca KW - iccs KW - bibsonomy L1 - SN - N1 - Antrag dfg Literatur N1 - AB - BibSonomy is a web-based social resource sharing system which allows users to organise and share bookmarks and publications in a collaborative manner. In this paper we present the system, followed by a description of the insights in the structure of its bibliographic data that we gained by applying techniques we developed in the area of Formal Concept Analysis. ER -