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    AuthorTitleYearJournal/ProceedingsReftypeDOI/URL
    Balby Marinho, L., Hotho, A., Jäschke, R., Nanopoulos, A., Rendle, S., Schmidt-Thieme, L., Stumme, G. & Symeonidis, P. Recommender Systems for Social Tagging Systems 2012   book DOI URL 
    Abstract: Social Tagging Systems are web applications in which users upload resources (e.g., bookmarks, videos, photos, etc.) and annotate it with a list of freely chosen keywords called tags. This is a grassroots approach to organize a site and help users to find the resources they are interested in. Social tagging systems are open and inherently social; features that have been proven to encourage participation. However, with the large popularity of these systems and the increasing amount of user-contributed content, information overload rapidly becomes an issue. Recommender Systems are well known applications for increasing the level of relevant content over the “noise” that continuously grows as more and more content becomes available online. In social tagging systems, however, we face new challenges. While in classic recommender systems the mode of recommendation is basically the resource, in social tagging systems there are three possible modes of recommendation: users, resources, or tags. Therefore suitable methods that properly exploit the different dimensions of social tagging systems data are needed. In this book, we survey the most recent and state-of-the-art work about a whole new generation of recommender systems built to serve social tagging systems. The book is divided into self-contained chapters covering the background material on social tagging systems and recommender systems to the more advanced techniques like the ones based on tensor factorization and graph-based models.
    BibTeX:
    @book{balbymarinho2012recommender,
      author = {Balby Marinho, L. and Hotho, A. and Jäschke, R. and Nanopoulos, A. and Rendle, S. and Schmidt-Thieme, L. and Stumme, G. and Symeonidis, P.},
      title = {Recommender Systems for Social Tagging Systems},
      publisher = {Springer},
      year = {2012},
      url = {http://link.springer.com/book/10.1007/978-1-4614-1894-8},
      doi = {http://dx.doi.org/10.1007/978-1-4614-1894-8}
    }
    
    Jäschke, R., Hotho, A., Mitzlaff, F. & Stumme, G. Challenges in Tag Recommendations for Collaborative Tagging Systems 2012
    Vol. 32Recommender Systems for the Social Web, pp. 65-87 
    incollection DOI URL 
    Abstract: Originally introduced by social bookmarking systems, collaborative tagging, or social tagging, has been widely adopted by many web-based systems like wikis, e-commerce platforms, or social networks. Collaborative tagging systems allow users to annotate resources using freely chosen keywords, so called tags . Those tags help users in finding/retrieving resources, discovering new resources, and navigating through the system. The process of tagging resources is laborious. Therefore, most systems support their users by tag recommender components that recommend tags in a personalized way. The Discovery Challenges 2008 and 2009 of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) tackled the problem of tag recommendations in collaborative tagging systems. Researchers were invited to test their methods in a competition on datasets from the social bookmark and publication sharing system BibSonomy. Moreover, the 2009 challenge included an online task where the recommender systems were integrated into BibSonomy and provided recommendations in real time. In this chapter we review, evaluate and summarize the submissions to the two Discovery Challenges and thus lay the groundwork for continuing research in this area.
    BibTeX:
    @incollection{jaeschke2012challenges,
      author = {Jäschke, Robert and Hotho, Andreas and Mitzlaff, Folke and Stumme, Gerd},
      title = {Challenges in Tag Recommendations for Collaborative Tagging Systems},
      booktitle = {Recommender Systems for the Social Web},
      publisher = {Springer},
      year = {2012},
      volume = {32},
      pages = {65--87},
      url = {http://dx.doi.org/10.1007/978-3-642-25694-3_3},
      doi = {http://dx.doi.org/10.1007/978-3-642-25694-3_3}
    }
    
    Krause, B., Hotho, A. & Stumme, G. A Comparison of Social Bookmarking with Traditional Search 2008
    Vol. 4956Advances in Information Retrieval, 30th European Conference on IR Research, ECIR 2008, pp. 101-113 
    inproceedings  
    Abstract: Social bookmarking systems allow users to store links to internet resources on a web page. As social bookmarking systems are growing in popularity, search algorithms have been developed that transfer the idea of link-based rankings in the Web to a social bookmarking system’s
    ta structure. These rankings differ from traditional search engine rankings in that they incorporate the rating of users.

    n this study, we compare search in social bookmarking systems with traditionalWeb search. In the first part, we compare the user activity and behaviour in both kinds of systems, as well as the overlap of the underlying sets of URLs. In the second part,we compare graph-based and vector space rankings for social bookmarking systems with commercial search engine rankings.

    ur experiments are performed on data of the social bookmarking system Del.icio.us and on rankings and log data from Google, MSN, and AOL. We will show that part of the difference between the systems is due to different behaviour (e. g., the concatenation of multi-word lexems
    single terms in Del.icio.us), and that real-world events may trigger similar behaviour in both kinds of systems. We will also show that a graph-based ranking approach on folksonomies yields results that are closer to the rankings of the commercial search engines than vector space
    trieval, and that the correlation is high in particular for the domains that are well covered by the social bookmarking system.

    BibTeX:
    @inproceedings{krause2008comparison,
      author = {Krause, Beate and Hotho, Andreas and Stumme, Gerd},
      title = {A Comparison of Social Bookmarking  with Traditional Search},
      booktitle = {Advances in Information Retrieval, 30th European Conference on IR Research, ECIR 2008},
      publisher = {Springer},
      year = {2008},
      volume = {4956},
      pages = {101-113}
    }
    
    Krause, B., Jäschke, R., Hotho, A. & Stumme, G. Logsonomy - Social Information Retrieval with Logdata 2008 HT '08: Proceedings of the Nineteenth ACM Conference on Hypertext and Hypermedia, pp. 157-166  inproceedings DOI URL 
    Abstract: Social bookmarking systems constitute an established
    rt of the Web 2.0. In such systems
    ers describe bookmarks by keywords
    lled tags. The structure behind these social
    stems, called folksonomies, can be viewed
    a tripartite hypergraph of user, tag and resource
    des. This underlying network shows
    ecific structural properties that explain its
    owth and the possibility of serendipitous
    ploration.
    day’s search engines represent the gateway
    retrieve information from the World Wide
    b. Short queries typically consisting of
    o to three words describe a user’s information
    ed. In response to the displayed
    sults of the search engine, users click on
    e links of the result page as they expect
    e answer to be of relevance.
    is clickdata can be represented as a folksonomy
    which queries are descriptions of
    icked URLs. The resulting network structure,
    ich we will term logsonomy is very
    milar to the one of folksonomies. In order
    find out about its properties, we analyze
    e topological characteristics of the tripartite
    pergraph of queries, users and bookmarks
    a large snapshot of del.icio.us and
    query logs of two large search engines.
    l of the three datasets show small world
    operties. The tagging behavior of users,
    ich is explained by preferential attachment
    the tags in social bookmark systems, is
    flected in the distribution of single query
    rds in search engines. We can conclude
    at the clicking behaviour of search engine
    ers based on the displayed search results
    d the tagging behaviour of social bookmarking
    ers is driven by similar dynamics.
    BibTeX:
    @inproceedings{krause2008logsonomy,
      author = {Krause, Beate and Jäschke, Robert and Hotho, Andreas and Stumme, Gerd},
      title = {Logsonomy - Social Information Retrieval with Logdata},
      booktitle = {HT '08: Proceedings of the Nineteenth ACM Conference on Hypertext and Hypermedia},
      publisher = {ACM},
      year = {2008},
      pages = {157--166},
      url = {http://portal.acm.org/citation.cfm?id=1379092.1379123&coll=ACM&dl=ACM&type=series&idx=SERIES399&part=series&WantType=Journals&title=Proceedings%20of%20the%20nineteenth%20ACM%20conference%20on%20Hypertext%20and%20hypermedia},
      doi = {http://doi.acm.org/10.1145/1379092.1379123}
    }
    
    Krause, B., Schmitz, C., Hotho, A. & Stumme, G. The Anti-Social Tagger - Detecting Spam in Social Bookmarking Systems 2008 Proc. of the Fourth International Workshop on Adversarial Information Retrieval on the Web  inproceedings URL 
    BibTeX:
    @inproceedings{krause2008antisocial,
      author = {Krause, Beate and Schmitz, Christoph and Hotho, Andreas and Stumme, Gerd},
      title = {The Anti-Social Tagger - Detecting Spam in Social Bookmarking Systems},
      booktitle = {Proc. of the Fourth International Workshop on  Adversarial Information Retrieval on the Web},
      year = {2008},
      url = {http://airweb.cse.lehigh.edu/2008/submissions/krause_2008_anti_social_tagger.pdf}
    }
    
    Grahl, M., Hotho, A. & Stumme, G. Conceptual Clustering of Social Bookmark Sites 2007 Workshop Proceedings of Lernen -- Wissensentdeckung -- Adaptivität (LWA 2007), pp. 50-54  inproceedings URL 
    BibTeX:
    @inproceedings{grahl07conceptualKdml,
      author = {Grahl, Miranda and Hotho, Andreas and Stumme, Gerd},
      title = {Conceptual Clustering of Social Bookmark Sites},
      booktitle = {Workshop Proceedings of Lernen -- Wissensentdeckung -- Adaptivität (LWA 2007)},
      publisher = {Martin-Luther-Universität Halle-Wittenberg},
      year = {2007},
      pages = {50-54},
      url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2007/kdml_recommender_final.pdf}
    }
    
    Grahl, M., Hotho, A. & Stumme, G. Conceptual Clustering of Social Bookmarking Sites 2007 7th International Conference on Knowledge Management (I-KNOW '07), pp. 356-364  inproceedings  
    Abstract: Currently, social bookmarking systems provide intuitive support for browsing locally their content. A global view is usually presented by the tag cloud of the
    stem, 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.
    BibTeX:
    @inproceedings{grahl2007clustering,
      author = {Grahl, Miranda and Hotho, Andreas and Stumme, Gerd},
      title = {Conceptual Clustering of Social Bookmarking Sites},
      booktitle = {7th International Conference on Knowledge Management (I-KNOW '07)},
      publisher = {Know-Center},
      year = {2007},
      pages = {356-364}
    }
    
    Jaeschke, R., Marinho, L., Hotho, A., Schmidt-Thieme, L. & Stumme, G. Tag Recommendations in Folksonomies 2007 Workshop Proceedings of Lernen - Wissensentdeckung - Adaptivität (LWA 2007), pp. 13-20  inproceedings URL 
    BibTeX:
    @inproceedings{jaeschke07tagKdml,
      author = {Jaeschke, Robert and Marinho, Leandro and Hotho, Andreas and Schmidt-Thieme, Lars and Stumme, Gerd},
      title = {Tag Recommendations in Folksonomies},
      booktitle = {Workshop Proceedings of Lernen - Wissensentdeckung - Adaptivität (LWA 2007)},
      publisher = {Martin-Luther-Universität Halle-Wittenberg},
      year = {2007},
      pages = {13-20},
      url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2007/jaeschke07tagrecommendationsKDML.pdf}
    }
    
    Jäschke, R., Hotho, A., Schmitz, C. & Stumme, G. Analysis of the Publication Sharing Behaviour in BibSonomy 2007
    Vol. 4604Proceedings of the 15th International Conference on Conceptual Structures (ICCS 2007), pp. 283-295 
    inproceedings  
    Abstract: 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.
    BibTeX:
    @inproceedings{jaeschke2007analysis,
      author = {Jäschke, Robert and Hotho, Andreas and Schmitz, Christoph and Stumme, Gerd},
      title = {Analysis of the Publication Sharing Behaviour in BibSonomy},
      booktitle = {Proceedings of the 15th International Conference on Conceptual Structures (ICCS 2007)},
      publisher = {Springer-Verlag},
      year = {2007},
      volume = {4604},
      pages = {283--295}
    }
    
    Hotho, A., Jäschke, R., Schmitz, C. & Stumme, G. BibSonomy: A Social Bookmark and Publication Sharing System 2006 Proceedings of the First Conceptual Structures Tool Interoperability Workshop at the 14th International Conference on Conceptual Structures, pp. 87-102  inproceedings URL 
    Abstract: Social bookmark tools are rapidly emerging on the Web. In such
    stems users are setting up lightweight conceptual structures
    lled folksonomies. The reason for their immediate success is the
    ct that no specific skills are needed for participating. In this
    per we specify a formal model for folksonomies and briefly describe
    r own system BibSonomy, which allows for sharing both bookmarks
    d publication references in a kind of personal library.
    BibTeX:
    @inproceedings{hotho2006bibsonomy,
      author = {Hotho, Andreas and Jäschke, Robert and Schmitz, Christoph and Stumme, Gerd},
      title = {BibSonomy: A Social Bookmark and Publication Sharing System},
      booktitle = {Proceedings of the First Conceptual Structures Tool Interoperability Workshop at the 14th International Conference on Conceptual Structures},
      publisher = {Aalborg Universitetsforlag},
      year = {2006},
      pages = {87-102},
      url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/hotho2006bibsonomy.pdf}
    }
    

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