The goal of this one day workshop was to bring together researchers and practitioners to explore, discuss, and understand challenges and new opportunities for Recommender Systems and the Social Web. The workshop consisted both of technical sessions, in which selected participants presented their results or ongoing research, as well as informal breakout sessions on more focused topics.
Papers discussing various aspects of recommender system in the Social Web were submitted and selected for presentation and discussion in the workshop in a formal reviewing process: Case studies and novel fielded social recommender applications; Economy of community-based systems: Using recommenders to encourage users to contribute and sustain participation.; Social network and folksonomy development: Recommending friends, tags, bookmarks, blogs, music, communities etc.; Recommender systems mash-ups, Web 2.0 user interfaces, rich media recommender systems; Collaborative knowledge authoring, collective intelligence; Recommender applications involving users or groups directly in the recommendation process; Exploiting folksonomies, social network information, interaction, user context and communities or groups for recommendations; Trust and reputation aware social recommendations; Semantic Web recommender systems, use of ontologies or microformats; Empirical evaluation of social recommender techniques, success and failure measures
Full workshop details are available at http://www.dcs.warwick.ac.uk/~ssanand/RSWeb11/index.htm}, acmid = {2044014}, address = {New York, NY, USA}, author = {Freyne, Jill and Anand, Sarabjot Singh and Guy, Ido and Hotho, Andreas}, booktitle = {Proceedings of the fifth ACM conference on Recommender systems}, doi = {10.1145/2043932.2044014}, interhash = {6171f01a8f8cd063ec257cb4809801a6}, intrahash = {11fe6dd3da33f0aa0a40c998e5193ab8}, isbn = {978-1-4503-0683-6}, location = {Chicago, Illinois, USA}, numpages = {2}, pages = {383--384}, publisher = {ACM}, series = {RecSys '11}, title = {3rd workshop on recommender systems and the social web}, url = {http://doi.acm.org/10.1145/2043932.2044014}, year = 2011 } @inproceedings{HoKlWaP11, author = {Honsel, Lars and Klaus, Martin and Wagner, Ralf}, booktitle = {Proceedings of Australia \& New Zealand Marketing Academy 2011 Conference}, editor = {University, Edith Cowan}, interhash = {cfa6ce541017d2ad02ebbf0449a806da}, intrahash = {74d549fa619635073b82ed84970349c7}, pages = {1-10}, title = {{C}onsumer {F}anaticism: {A} {T}ypology of {F}ans {R}elated to {F}an {M}otivation and {P}ersonality {T}raits}, url = {http://anzmac.org/conference/2011/Papers%20by%20Presenting%20Author/Honsel,%20Lars%20Paper%20639.pdf}, year = 2011 } @inproceedings{navarrobullock2011tagging, abstract = {Learning-to-rank methods automatically generate ranking functions which can be used for ordering unknown resources according to their relevance for a specific search query. The training data to construct such a model consists of features describing a document-query-pair as well as relevance scores indicating how important the document is for the query. In general, these relevance scores are derived by asking experts to manually assess search results or by exploiting user search behaviour such as click data. The human evaluation of ranking results gives explicit relevance scores, but it is expensive to obtain. Clickdata can be logged from the user interaction with a search engine, but the feedback is noisy. In this paper, we want to explore a novel source of implicit feedback for web search: tagging data. Creating relevance feedback from tagging data leads to a further source of implicit relevance feedback which helps improve the reliability of automatically generated relevance scores and therefore the quality of learning-to-rank models.}, address = {New York, NY, USA}, author = {Navarro Bullock, Beate and Jäschke, Robert and Hotho, Andreas}, booktitle = {Proceedings of the ACM WebSci Conference}, interhash = {7afaa67dfeb07f7e0b85abf2be61aff1}, intrahash = {e5a4b67ed6173e9645aab321019efd74}, location = {Koblenz, Germany}, month = jun, organization = {ACM}, pages = {1--4}, title = {Tagging data as implicit feedback for learning-to-rank}, url = {http://journal.webscience.org/463/}, vgwort = {14,8}, year = 2011 } @proceedings{conf/ht/2010msmmuse, booktitle = {MSM/MUSE}, editor = {Atzmueller, Martin and Hotho, Andreas and Strohmaier, Markus and Chin, Alvin}, ee = {http://dx.doi.org/10.1007/978-3-642-23599-3}, interhash = {2be9c4f31fd94e24d902520195b653d3}, intrahash = {4cf42ebabd9a670c70bee456affda285}, isbn = {978-3-642-23598-6}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, title = {Analysis of Social Media and Ubiquitous Data - International Workshops MSM 2010, Toronto, Canada, June 13, 2010, and MUSE 2010, Barcelona, Spain, September 20, 2010, Revised Selected Papers}, url = {http://dblp.uni-trier.de/db/conf/ht/msmmuse2010.html}, volume = 6904, year = 2011 } @inproceedings{bullock2011privacyaware, abstract = {With the increased popularity of Web 2.0 services in the last years data privacy has become a major concern for users. The more personal data users reveal, the more difficult it becomes to control its disclosure in the web. However, for Web 2.0 service providers, the data provided by users is a valuable source for offering effective, personalised data mining services. One major application is the detection of spam in social bookmarking systems: in order to prevent a decrease of content quality, providers need to distinguish spammers and exclude them from the system. They thereby experience a conflict of interests: on the one hand, they need to identify spammers based on the information they collect about users, on the other hand, they need to respect privacy concerns and process as few personal data as possible. It would therefore be of tremendous help for system developers and users to know which personal data are needed for spam detection and which can be ignored. In this paper we address these questions by presenting a data privacy aware feature engineering approach. It consists of the design of features for spam classification which are evaluated according to both, performance and privacy conditions. Experiments using data from the social bookmarking system BibSonomy show that both conditions must not exclude each other.}, acmid = {2024306}, address = {New York, NY, USA}, articleno = {15}, author = {Bullock, Beate Navarro and Lerch, Hana and Ro\ssnagel, Alexander and Hotho, Andreas and Stumme, Gerd}, booktitle = {Proceedings of the 11th International Conference on Knowledge Management and Knowledge Technologies}, doi = {10.1145/2024288.2024306}, interhash = {7a2d6a35c124ea0fe31c962f8f150916}, intrahash = {00a8f31185a34957eb16d500d7d51398}, isbn = {978-1-4503-0732-1}, location = {Graz, Austria}, numpages = {8}, pages = {15:1--15:8}, publisher = {ACM}, series = {i-KNOW '11}, title = {Privacy-aware spam detection in social bookmarking systems}, url = {http://doi.acm.org/10.1145/2024288.2024306}, year = 2011 } @inproceedings{DBLP:conf/pkdd/ADHSS11, author = {Scholz, Christoph and Doerfel, Stephan and Atzmueller, Martin and Hotho, Andreas and Stumme, Gerd}, booktitle = {ECML/PKDD (3)}, interhash = {d81c55cdcdf8ee331595bbb4d6fd51d6}, intrahash = {deec7e33ba811cd4dfacb29e6dc0fb9c}, note = {misc = 27}, pages = {129-144}, title = {Resource-Aware On-Line RFID Localization Using Proximity Data}, vgwort = {27}, year = 2011 } @inproceedings{benz2011measuring, abstract = {Recent research has demonstrated how the widespread adoption of collaborative tagging systems yields emergent semantics. In recent years, much has been learned about how to harvest the data produced by taggers for engineering light-weight ontologies. For example, existing measures of tag similarity and tag relatedness have proven crucial step stones for making latent semantic relations in tagging systems explicit. However, little progress has been made on other issues, such as understanding the different levels of tag generality (or tag abstractness), which is essential for, among others, identifying hierarchical relationships between concepts. In this paper we aim to address this gap. Starting from a review of linguistic definitions of word abstractness, we first use several large-scale ontologies and taxonomies as grounded measures of word generality, including Yago, Wordnet, DMOZ and Wikitaxonomy. Then, we introduce and apply several folksonomy-based methods to measure the level of generality of given tags. We evaluate these methods by comparing them with the grounded measures. Our results suggest that the generality of tags in social tagging systems can be approximated with simple measures. Our work has implications for a number of problems related to social tagging systems, including search, tag recommendation, and the acquisition of light-weight ontologies from tagging data.}, address = {Heraklion, Crete}, author = {Benz, Dominik and Körner, Christian and Hotho, Andreas and Stumme, Gerd and Strohmaier, Markus}, booktitle = {Proceedings of the 8th Extended Semantic Web Conference (ESWC 2011)}, editor = {Antoniou, Grigoris and Grobelnik, Marko and Simperl, Elena and Parsia, Bijan and Plexousakis, Dimitris and Pan, Jeff and Leenheer, Pieter De}, interhash = {33a2078f3836293d71c449d5376fc440}, intrahash = {b245d492f1f9fa41b62b79b6dec77241}, month = may, title = {One Tag to Bind Them All: Measuring Term Abstractness in Social Metadata}, url = {http://www.kde.cs.uni-kassel.de/pub/pdf/benz2011measuring.pdf}, year = 2011 } @inproceedings{mitzlaff2011community, author = {Mitzlaff, Folke and Atzmueller, Martin and Benz, Dominik and Hotho, Andreas and Stumme, Gerd}, booktitle = {Analysis of Social Media and Ubiquitous Data}, interhash = {1ef065a81ed836dfd31fcc4cd4da133b}, intrahash = {0f45e870093c053e6f41f54c14bda46b}, series = {LNAI}, title = {{Community Assessment using Evidence Networks}}, volume = 6904, year = 2011 } @inproceedings{benz2011measuring, author = {Benz, Dominik and Körner, Christian and Hotho, Andreas and Stumme, Gerd and Strohmaier, Markus}, booktitle = {Working Notes of the LWA 2011 - Learning, Knowledge, Adaptation}, interhash = {33a2078f3836293d71c449d5376fc440}, intrahash = {923d369285422c758398cbe92e3532cd}, title = {One Tag to Bind Them All: Measuring Term Abstractness in Social Metadata}, year = 2011 } @inproceedings{bullock2011privacyaware, abstract = {With the increased popularity of Web 2.0 services in the last years data privacy has become a major concern for users. The more personal data users reveal, the more difficult it becomes to control its disclosure in the web. However, for Web 2.0 service providers, the data provided by users is a valuable source for offering effective, personalised data mining services. One major application is the detection of spam in social bookmarking systems: in order to prevent a decrease of content quality, providers need to distinguish spammers and exclude them from the system. They thereby experience a conflict of interests: on the one hand, they need to identify spammers based on the information they collect about users, on the other hand, they need to respect privacy concerns and process as few personal data as possible. It would therefore be of tremendous help for system developers and users to know which personal data are needed for spam detection and which can be ignored. In this paper we address these questions by presenting a data privacy aware feature engineering approach. It consists of the design of features for spam classification which are evaluated according to both, performance and privacy conditions. Experiments using data from the social bookmarking system BibSonomy show that both conditions must not exclude each other.}, acmid = {2024306}, address = {New York, NY, USA}, articleno = {15}, author = {Bullock, Beate Navarro and Lerch, Hana and Ro\ssnagel, Alexander and Hotho, Andreas and Stumme, Gerd}, booktitle = {Proceedings of the 11th International Conference on Knowledge Management and Knowledge Technologies}, doi = {10.1145/2024288.2024306}, interhash = {7a2d6a35c124ea0fe31c962f8f150916}, intrahash = {00a8f31185a34957eb16d500d7d51398}, isbn = {978-1-4503-0732-1}, location = {Graz, Austria}, numpages = {8}, pages = {15:1--15:8}, publisher = {ACM}, series = {i-KNOW '11}, title = {Privacy-aware spam detection in social bookmarking systems}, url = {http://doi.acm.org/10.1145/2024288.2024306}, year = 2011 } @inproceedings{kartal2011privatsphren, abstract = {Aufgrund der mittlerweile unüberschaubaren Vielfalt von Anwendungsmöglichkeiten des Web 2.0, findet man fast zu jedem Lebensbereich eine passende Community im Netz. Dabei steigt auch die Anzahl der Bewertungsportale stetig und betrifft längst nicht mehr nur die Bewertung von Waren, sondern erstreckt sich unterdessen auch auf Beurteilungen von Leistungen und Eigenschaften von zu bestimmten Berufsgruppen gehörenden Personen. Diese Entwicklung birgt die Gefahr, dass die dadurch gewonnenen persönlichen Daten durchaus geeignet sind, wahrheitswidrig ein übermäßig positives oder übermäßig negatives Persönlichkeitsbild des Betroffenen zu konstruieren und dadurch sein Ansehen zu beeinflussen. Im Hinblick auf Fragen im Zusammenhang mit dem Persönlichkeits- und Datenschutz soll der folgende Beitrag Maßstäbe an eine verfassungs- und datenschutzkonforme technische Gestaltung von Online-Bewertungsportalen aufzeigen.}, author = {Kartal, Aliye and Doerfel, Stephan and Roßnagel, Alexander and Stumme, Gerd}, booktitle = {Informatik 2011 - Informatik schafft Communities - Proceedings der 41. GI-Jahrestagung }, editor = {Heiß, Hans-Ulrich and Pepper, Peter and Schlingloff, Holger and Schneider, Jörg}, interhash = {cf589401116bfad4980467e68b67d173}, intrahash = {25c89c0f9e4149da87e5212dd12481f0}, month = {10}, organization = {Gesellschaft für Informatik e.V. (GI)}, pages = 412, publisher = {Bonner Köllen Verlag}, series = {Lecture Notes in Informatics}, title = {Privatsphären- und Datenschutz in Community-Plattformen: Gestaltung von Online-Bewertungsportalen}, url = {http://www.informatik2011.de/541.html}, vgwort = {32}, volume = 192, year = 2011 } @incollection{marinho2011social, abstract = {The new generation of Web applications known as (STS) is successfully established and poised for continued growth. STS are open and inherently social; features that have been proven to encourage participation. But while STS bring new opportunities, they revive old problems, such as information overload. 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 STS however, we face new challenges. Users are interested in finding not only content, but also tags and even other users. Moreover, while traditional recommender systems usually operate over 2-way data arrays, STS data is represented as a third-order tensor or a hypergraph with hyperedges denoting (user, resource, tag) triples. In this chapter, we survey the most recent and state-of-the-art work about a whole new generation of recommender systems built to serve STS.We describe (a) novel facets of recommenders for STS, such as user, resource, and tag recommenders, (b) new approaches and algorithms for dealing with the ternary nature of STS data, and (c) recommender systems deployed in real world STS. Moreover, a concise comparison between existing works is presented, through which we identify and point out new research directions.}, address = {New York}, author = {Balby Marinho, Leandro and Nanopoulos, Alexandros and Schmidt-Thieme, Lars and Jäschke, Robert and Hotho, Andreas and Stumme, Gerd and Symeonidis, Panagiotis}, booktitle = {Recommender Systems Handbook}, doi = {10.1007/978-0-387-85820-3_19}, editor = {Ricci, Francesco and Rokach, Lior and Shapira, Bracha and Kantor, Paul B.}, interhash = {2d4afa6f7fb103ccc166c9c5d629cdd1}, intrahash = {708be7b5c269bd3a9d3d2334f858d52d}, isbn = {978-0-387-85820-3}, pages = {615--644}, publisher = {Springer}, title = {Social Tagging Recommender Systems}, url = {http://dx.doi.org/10.1007/978-0-387-85820-3_19}, year = 2011 } @inproceedings{BAKHSS:11, address = {Chemnitz}, author = {Behrenbruch, Kay and Atzmueller, Martin and Kniewel, Romy and Hoberg, Sebastian and Stumme, Gerd and Schmidt, Ludger}, booktitle = {GfA-Frühjahrskongress}, interhash = {bb1435b451f54abf143ea892375abf55}, intrahash = {addbaaba7aec8360e23284c849e216ad}, title = {Gestaltung technisch-sozialer Vernetzung in der Arbeitsorganisation: Untersuchung zur Nutzerakzeptanz von RFID-Technologie}, year = 2011 } @inproceedings{atzmueller2011facetoface, author = {Atzmueller, Martin and Doerfel, Stephan and Hotho, Andreas and Mitzlaff, Folke and Stumme, Gerd}, booktitle = {Working Notes of the LWA 2011 - Learning, Knowledge, Adaptation}, interhash = {0b17cc97fd8ae45161a926da9363c4b2}, intrahash = {84840e0e94320b5742df381f2ec033b7}, title = {Face-to-Face Contacts during LWA 2010 - Communities, Roles, and Key Players}, year = 2011 } @inproceedings{ADHMS:11, author = {Atzmueller, Martin and Doerfel, Stephan and Hotho, Andreas and Mitzlaff, Folke and Stumme, Gerd}, booktitle = {Proc. Workshop on Mining Ubiquitous and Social Environments (MUSE 2011) at ECML/PKDD 2011}, interhash = {49e97def917e352ca21ab2e3eb7bd88a}, intrahash = {1fe037ea2712b205c564243d67840059}, title = {Face-to-Face Contacts during a Conference: Communities, Roles, and Key Players}, year = 2011 }