Efficient Descriptive Community Mining.
In:
Proc. 24th Intl. FLAIRS Conference.
AAAI Press, 2011.
Martin Atzmueller und Folke Mitzlaff.
[BibTeX]
Towards Mining Semantic Maturity in Social Bookmarking Systems.
In: A. Passant, S. Fernández, J. Breslin und U. Bojars
(Herausgeber):
Proceedings of the 4th international workshop on Social Data on the Web (SDoW2011).
2011.
Martin Atzmueller, Dominik Benz, Andreas Hotho und Gerd Stumme.
[doi]
[BibTeX]
Modeling Location-Based Profiles of Social Image Media using Explorative Pattern Mining.
In:
Proc. IEEE SocialCom 2011, Workshop on Modeling Social Media (MSM 2011).
IEEE Computer Society, 2011.
Florian Lemmerich und Martin Atzmueller.
[BibTeX]
Proceedings of the 2010 Workshop on Mining Ubiquitous and Social Environments (MUSE 2010).
2010.
[BibTeX]
Towards Explanation-Aware Social Software: Applying the Mining and Analysis Continuum of Explaining.
In:
Proc. Workshop on Explanation-aware Computing ExaCt 2010 @ ECAI 2010.
2010.
Martin Atzmueller und Thomas Roth-Berghofer.
[BibTeX]
Towards Mining Descriptive Community Patterns.
In:
Workshop on Mining Patterns and Subgroups.
Lorentz Center, Leiden, The Netherlands. Awarded with the Best Discovery Award, 2010.
Martin Atzmueller und Folke Mitzlaff.
[BibTeX]
Bridging the Gap-Data Mining and Social Network Analysis for Integrating Semantic Web and Web 2.0.
Web Semantics: Science, Services and Agents on the World Wide Web, 8(2-3):95 - 96, 2010.
Bridging the Gap--Data Mining and Social Network Analysis for Integrating Semantic Web and Web 2.0; The Future of Knowledge Dissemination: The Elsevier Grand Challenge for the Life Sciences
Bettina Berendt, Andreas Hotho und Gerd Stumme.
[doi]
[BibTeX]
LocaTag - An NFC-based system enhancing instant messaging tools with real-time user location.
In:
2. International Workshop on Near Field Communication (NFC) 2010, Band 2.
Monaco, Monaco, 2010.
180 (28-10)
F. Köbler, P. Koene, H. Krcmar, M. Altmann und J. M. Leimeister.
[doi]
[BibTeX]
Proceedings of the Dagstuhl Seminar on Social Web Communities.
2008.
[doi]
[BibTeX]
Tag Recommendations in Social Bookmarking Systems.
AI Communications, 21(4):231-247, 2008.
Robert Jäschke, Leandro Marinho, Andreas Hotho, Lars Schmidt-Thieme und Gerd Stumme.
[doi]
[Kurzfassung]
[BibTeX]
Collaborative tagging systems allow users to assign keywords - so called "tags" - to resources. Tags are used for navigation, finding resources and serendipitous browsing and thus provide an immediate benefit for users. These systems usually include tag recommendation mechanisms easing the process of finding good tags for a resource, but also consolidating the tag vocabulary across users. In practice, however, only very basic recommendation strategies are applied.
In this paper we evaluate and compare several recommendation algorithms on large-scale real life datasets: an adaptation of
user-based collaborative filtering, a graph-based recommender built on top of the FolkRank algorithm, and simple methods based on counting tag occurences. We show that both FolkRank and Collaborative Filtering provide better results than non-personalized baseline methods. Moreover, since methods based on counting tag occurrences are computationally cheap, and thus usually preferable for real time scenarios, we discuss simple approaches for improving the performance of such methods. We show, how a simple recommender based on counting tags from users and resources can perform almost as good as the best recommender.
A Comparison of Social Bookmarking with Traditional Search.
In: C. Macdonald, I. Ounis, V. Plachouras, I. Ruthven und R. W. White
(Herausgeber):
30th European Conference on IR Research, ECIR 2008, Band 4956, Reihe Lecture Notes in Computer Science, Seiten 101-113.
Springer, Glasgow, UK, 2008.
Beate Krause, Andreas Hotho und Gerd Stumme.
[BibTeX]
Logsonomy - Social Information Retrieval with Logdata.
In:
HT '08: Proceedings of the Nineteenth ACM Conference on Hypertext and Hypermedia, Seiten 157-166.
ACM, New York, NY, USA, 2008.
Beate Krause, Robert Jäschke, Andreas Hotho und Gerd Stumme.
[doi]
[Kurzfassung]
[BibTeX]
Social bookmarking systems constitute an established
part of the Web 2.0. In such systems
users describe bookmarks by keywords
called tags. The structure behind these social
systems, called folksonomies, can be viewed
as a tripartite hypergraph of user, tag and resource
nodes. This underlying network shows
specific structural properties that explain its
growth and the possibility of serendipitous
exploration.
Today’s search engines represent the gateway
to retrieve information from the World Wide
Web. Short queries typically consisting of
two to three words describe a user’s information
need. In response to the displayed
results of the search engine, users click on
the links of the result page as they expect
the answer to be of relevance.
This clickdata can be represented as a folksonomy
in which queries are descriptions of
clicked URLs. The resulting network structure,
which we will term logsonomy is very
similar to the one of folksonomies. In order
to find out about its properties, we analyze
the topological characteristics of the tripartite
hypergraph of queries, users and bookmarks
on a large snapshot of del.icio.us and
on query logs of two large search engines.
All of the three datasets show small world
properties. The tagging behavior of users,
which is explained by preferential attachment
of the tags in social bookmark systems, is
reflected in the distribution of single query
words in search engines. We can conclude
that the clicking behaviour of search engine
users based on the displayed search results
and the tagging behaviour of social bookmarking
users is driven by similar dynamics.
The Anti-Social Tagger - Detecting Spam in Social Bookmarking Systems.
In:
Proc. of the Fourth International Workshop on Adversarial Information Retrieval on the Web.
2008.
Beate Krause, Christoph Schmitz, Andreas Hotho und Gerd Stumme.
[doi]
[BibTeX]
Workshop on Social and Collaborative Construction of Structured Knowledge (CKC 2007) at WWW 2007.
Banff, Canada, 2007.
Harith Alani, Natasha Noy, Gerd Stumme, Peter Mika, York Sure und Denny Vrandecic.
[doi]
[BibTeX]
Case study on social software use in distributed working environments.
2007. Deliverable 15.2, European Network of Excellence ``Prolearn - Professional E-Learning''.
Yiwei Cao, Karsten Ehms, Sebastian Fiedler, Margit Hofer, Anna-Kaarina Kaiamo, Barbara Kieslinger, Ralf Klamma, Beate Krause, Milos Kravcik, Tommi Ryyppö, Marc Spaniol, Gerd Stumme und Fridolin Wild.
[doi]
[BibTeX]
Conceptual Clustering of Social Bookmark Sites.
In: A. Hinneburg
(Herausgeber):
Workshop Proceedings of Lernen - Wissensentdeckung - Adaptivität (LWA 2007), Seiten 50-54.
Martin-Luther-Universität Halle-Wittenberg, 2007.
Miranda Grahl, Andreas Hotho und Gerd Stumme.
[doi]
[BibTeX]
Conceptual Clustering of Social Bookmarking Sites.
In:
7th International Conference on Knowledge Management (I-KNOW '07), Seiten 356-364.
Know-Center, Graz, Austria, 2007.
Miranda Grahl, Andreas Hotho und Gerd Stumme.
[doi]
[Kurzfassung]
[BibTeX]
Currently, social bookmarking systems provide intuitive support for browsing locally their content. A global view is usually presented by the tag cloud of thesystem, but it does not allow a conceptual drill-down, e. g., along a conceptual hierarchy. In this paper, we present a clustering approach for computing such a conceptual hierarchy for a given folksonomy. The hierarchy is complemented with ranked lists of users and resources most related to each cluster. The rankings are computed using our FolkRank algorithm. We have evaluated our approach on large scale data from the del.icio.us bookmarking system.
Tag Recommendations in Folksonomies.
In: A. Hinneburg
(Herausgeber):
Workshop Proceedings of Lernen - Wissensentdeckung - Adaptivität (LWA 2007), Seiten 13-20.
Martin-Luther-Universität Halle-Wittenberg, 2007.
Robert Jaeschke, Leandro Marinho, Andreas Hotho, Lars Schmidt-Thieme und Gerd Stumme.
[doi]
[BibTeX]
Analysis of the Publication Sharing Behaviour in BibSonomy.
In: U. Priss, S. Polovina und R. Hill
(Herausgeber):
Proceedings of the 15th International Conference on Conceptual Structures (ICCS 2007), Band 4604, Reihe Lecture Notes in Artificial Intelligence, Seiten 283-295.
Springer-Verlag, Berlin, Heidelberg, 2007.
Robert Jäschke, Andreas Hotho, Christoph Schmitz und Gerd Stumme.
[Kurzfassung]
[BibTeX]
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.