Data Mining and Natural Language Processing co-located with The European
Conference on Machine Learning and Principles and Practice of Knowledge
Discovery in Databases, DMNLP@PKDD/ECML 2014, Nancy, France, September
15, 2014 JO - PB - CEUR-WS.org C1 - PY - 2014/ VL - 1202 IS - SP - EP - UR - http://ceur-ws.org/Vol-1202 DO - KW - 2014 KW - data KW - mining KW - myown KW - nlp KW - workshop L1 - N1 - N1 - AB - ER - TY - GEN AU - A2 - Jannach, Dietmar A2 - Freyne, Jill A2 - Geyer, Werner A2 - Guy, Ido A2 - Hotho, Andreas A2 - Mobasher, Bamshad T1 - Proceedings of the 6th Workshop on Recommender Systems and the Social
Web (RSWeb 2014) co-located with the 8th ACM Conference on Recommender
Systems (RecSys 2014), Foster City, CA, USA, October 6, 2014 JO - PB - CEUR-WS.org C1 - PY - 2014/ VL - 1271 IS - SP - EP - UR - http://ceur-ws.org/Vol-1271 DO - KW - 2014 KW - myown KW - proceedings KW - recommender KW - social KW - workshop L1 - N1 - N1 - AB - ER - TY - CONF AU - Jannach, Dietmar AU - Freyne, Jill AU - Geyer, Werner AU - Guy, Ido AU - Hotho, Andreas AU - Mobasher, Bamshad A2 - T1 - The sixth ACM RecSys workshop on recommender systems and the social
web T2 - Eighth ACM Conference on Recommender Systems, RecSys '14, Foster City, Silicon Valley, CA, USA - October 06 - 10, 2014 PB - C1 - PY - 2014/ CY - VL - IS - SP - EP - UR - http://doi.acm.org/10.1145/2645710.2645786 DO - 10.1145/2645710.2645786 KW - 2014 KW - introduction KW - myown KW - recommender KW - social KW - workshop L1 - SN - N1 - N1 - AB - ER - TY - CONF AU - Mitzlaff, Folke AU - Doerfel, Stephan AU - Hotho, Andreas AU - Jäschke, Robert AU - Mueller, Juergen A2 - T1 - Summary of the 15th Discovery Challenge: Recommending Given Names T2 - 15th Discovery Challenge of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2013, Prague, Czech Republic - Sctober 27, 2013. Proceedings PB - CEUR-WS C1 - Aachen, Germany PY - 2014/ CY - VL - 1120 IS - SP - 7 EP - 24 UR - http://ceur-ws.org/Vol-1120/ DO - KW - 2014 KW - ECMLPKDD KW - KDE KW - RecSys KW - inproceedings KW - myown KW - nameling KW - summary KW - workshop L1 - SN - N1 - N1 - AB - The 15th ECML PKDD Discovery Challenge centered around the recommendation
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 - BOOK AU - A2 - Atzmueller, Martin A2 - Chin, Alvin A2 - Helic, Denis A2 - Hotho, Andreas T1 - Ubiquitous Social Media Analysis Third International Workshops, MUSE 2012, Bristol, UK, September 24, 2012, and MSM 2012, Milwaukee, WI, USA, June 25, 2012, Revised Selected Papers PB - Imprint: Springer C1 - Berlin, Heidelberg PY - 2013/ VL - IS - SP - EP - UR - http://link.springer.com/book/10.1007/978-3-642-45392-2 DO - KW - 2013 KW - analysis KW - bibsonomy KW - media KW - myown KW - postproceedings KW - social KW - workshop L1 - SN - 9783642453915 3642453910 9783642453922 3642453929 N1 - N1 - AB - ER - TY - CONF AU - Becker, Martin AU - Mueller, Juergen AU - Hotho, Andreas AU - Stumme, Gerd A2 - T1 - A Generic Platform for Ubiquitous and Subjective Data T2 - 1st International Workshop on Pervasive Urban Crowdsensing Architecture and Applications, PUCAA 2013, Zurich, Switzerland -- September 9, 2013. Proceedings PB - ACM C1 - New York, NY, USA PY - 2013/ CY - VL - IS - SP - 1175 EP - 1182 UR - DO - 10.1145/2494091.2499776 KW - 2013 KW - EveryAware KW - inproceedings KW - iteg KW - itegpub KW - l3s KW - myown KW - sitc KW - workshop L1 - SN - N1 - N1 - AB - An increasing number of platforms like Xively or ThingSpeak are available to manage ubiquitous sensor data enabling the Internet of Things. Strict data formats allow interoperability and informative visualizations, supporting the development of custom user applications. Yet, these strict data formats as well as the common feed-centric approach limit the flexibility of these platforms. We aim at providing a concept that supports data ranging from text-based formats like JSON to images and video footage. Furthermore, we introduce the concept of extensions, which allows to enrich existing data points with additional information, thus, taking a data point centric approach. This enables us to gain semantic and user specific context by attaching subjective data to objective values. This paper provides an overview of our architecture including concept, implementation details and present applications. We distinguish our approach from several other systems and describe two sensing applications namely AirProbe and WideNoise that were implemented for our platform. ER - TY - CONF AU - Becker, Martin AU - Mueller, Juergen AU - Hotho, Andreas AU - Stumme, Gerd A2 - T1 - A Generic Platform for Ubiquitous and Subjective Data T2 - 1st International Workshop on Pervasive Urban Crowdsensing Architecture and Applications, PUCAA 2013, Zurich, Switzerland -- September 9, 2013. Proceedings PB - ACM C1 - PY - 2013/ CY - VL - IS - SP - EP - UR - DO - KW - 2013 KW - everyaware KW - myown KW - platform KW - workshop L1 - SN - N1 - N1 - AB - An increasing number of platforms like Xively or ThingSpeak are available to manage ubiquitous sensor data enabling the Internet of Things. Strict data formats allow interoperability and informative visualizations, supporting the development of custom user applications. Yet, these strict data formats as well as the common feed-centric approach limit the flexibility of these platforms. We aim at providing a concept that supports data ranging from text-based formats like JSON to images and video footage. Furthermore, we introduce the concept of extensions, which allows to enrich existing data points with additional information, thus, taking a data point centric approach. This enables us to gain semantic and user specific context by attaching subjective data to objective values. This paper provides an overview of our architecture including concept, implementation details and present applications. We distinguish our approach from several other systems and describe two sensing applications namely AirProbe and WideNoise that were implemented for our platform. ER - TY - GEN AU - A2 - Mobasher, Bamshad A2 - Jannach, Dietmar A2 - Geyer, Werner A2 - Freyne, Jill A2 - Hotho, Andreas A2 - Anand, Sarabjot Singh A2 - Guy, Ido T1 - Proceedings of the Fifth ACM RecSys Workshop on Recommender Systems and the Social Web co-located with the 7th ACM Conference on Recommender Systems (RecSys 2013), Hong Kong, China, October 13, 2013. JO - PB - CEUR-WS.org C1 - PY - 2013/ VL - 1066 IS - SP - EP - UR - http://ceur-ws.org/Vol-1066 DO - KW - 2013 KW - bibsonomy KW - l3s KW - myown KW - recommender KW - social KW - web KW - workshop L1 - N1 - N1 - AB - ER - TY - BOOK AU - A2 - Roth-Berghofer, Thomas A2 - Oussena, Samia A2 - Atzmueller, Martin T1 - Proceedings of the 2013 International Smart University Workshop (SmartU 2013) PB - CONTEXT 2013 C1 - Annecy, France PY - 2013/ VL - IS - SP - EP - UR - DO - KW - 2013 KW - iteg KW - itegpub KW - l3s KW - mining KW - smart KW - social KW - ubiquitous KW - university KW - workshop L1 - SN - N1 - N1 - AB - ER - TY - CONF AU - Mobasher, Bamshad AU - Jannach, Dietmar AU - Geyer, Werner AU - Hotho, Andreas A2 - Cunningham, Padraig A2 - Hurley, Neil J. A2 - Guy, Ido A2 - Anand, Sarabjot Singh T1 - 4th ACM RecSys workshop on recommender systems and the social web. T2 - RecSys PB - ACM C1 - PY - 2012/ CY - VL - IS - SP - 345 EP - 346 UR - http://dblp.uni-trier.de/db/conf/recsys/recsys2012.html#MobasherJGH12 DO - KW - 2012 KW - myown KW - recommender KW - workshop L1 - SN - 978-1-4503-1270-7 N1 - N1 - AB - ER - TY - GEN AU - Mobasher, Bamshad AU - Jannach, Dietmar AU - Geyer, Werner AU - Hotho, Andreas A2 - T1 - RSWeb '12: Proceedings of the 4th ACM RecSys workshop on Recommender systems and the social web JO - PB - ACM C1 - New York, NY, USA PY - 2012/ VL - IS - SP - EP - UR - DO - KW - 2012 KW - acm KW - myown KW - recommender KW - rsweb KW - social KW - web KW - workshop L1 - N1 - Proceedings of the 4th ACM RecSys workshop on Recommender systems and the social web N1 - AB - The new opportunities for applying recommendation techniques within Social Web platforms and applications as well as the various new sources of information which have become available in the Web 2.0 and can be incorporated in future recommender applications are a strong driving factor in current recommender system research for various reasons:
(1) Social systems by their definition encourage interaction between users and both online content and other users, thus generating new sources of knowledge for recommender systems. Web 2.0 users explicitly provide personal information and implicitly express preferences through their interactions with others and the system (e.g. commenting, friending, rating, etc.). These various new sources of knowledge can be leveraged to improve recommendation techniques and develop new strategies which focus on social recommendation.
(2) New application areas for recommender systems emerge with the popularity of the Social Web. Recommenders cannot only be used to sort and filter Web 2.0 and social network information, they can also support users in the information sharing process, e.g., by recommending suitable tags during folksonomy development.
(3) Recommender technology can assist Social Web systems through increasing adoption and participation and sustaining membership. Through targeted and timely intervention which stimulates traffic and interaction, recommender technology can play its role in sustaining the success of the Social Web.
(4) The Social Web also presents new challenges for recommender systems, such as the complicated nature of human-to-human interaction which comes into play when recommending people and can require more interactive and richer recommender systems user interfaces.
The technical papers appearing in these proceedings aim to explore and understand challenges and new opportunities for recommender systems in the Social Web and were selected in a formal review process by an international program committee.
Overall, we received 13 paper submissions from 12 different countries, out of which 7 long papers and 1 short paper were selected for presentation and inclusion in the proceedings. The submitted papers addressed a variety of topics related to Social Web recommender systems from the use of microblogging data for personalization over new tag recommendation approaches to social media-based personalization of news. ER - TY - BOOK AU - A2 - Atzmueller, Martin A2 - Hotho, Andreas T1 - Proceedings of the 2011 International Workshop on Mining Ubiquitous and Social Environments (MUSE 2011) PB - ECML/PKDD 2011 C1 - Athens, Greece PY - 2011/ VL - IS - SP - EP - UR - DO - KW - 2011 KW - itegpub KW - mining KW - muse KW - myown KW - social KW - ubiquitous KW - workshop L1 - SN - N1 - N1 - AB - ER - TY - CONF AU - Freyne, Jill AU - Anand, Sarabjot Singh AU - Guy, Ido AU - Hotho, Andreas A2 - T1 - 3rd workshop on recommender systems and the social web T2 - Proceedings of the fifth ACM conference on Recommender systems PB - ACM C1 - New York, NY, USA PY - 2011/ CY - VL - IS - SP - 383 EP - 384 UR - http://doi.acm.org/10.1145/2043932.2044014 DO - 10.1145/2043932.2044014 KW - 2011 KW - cochair KW - myown KW - recommender KW - social KW - systems KW - workshop L1 - SN - 978-1-4503-0683-6 N1 - 3rd workshop on recommender systems and the social web N1 - AB - The exponential growth of the social web poses challenges and new opportunities for recommender systems. The social web has turned information consumers into active contributors creating massive amounts of information. Finding relevant and interesting content at the right time and in the right context is challenging for existing recommender approaches. At the same time, social systems by their definition encourage interaction between users and both online content and other users, thus generating new sources of knowledge for recommender systems. Web 2.0 users explicitly provide personal information and implicitly express preferences through their interactions with others and the system (e.g. commenting, friending, rating, etc.). These various new sources of knowledge can be leveraged to improve recommendation techniques and develop new strategies which focus on social recommendation. The Social Web provides huge opportunities for recommender technology and in turn recommender technologies can play a part in fuelling the success of the Social Web phenomenon.
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 ER - TY - BOOK AU - A2 - Atzmueller, Martin A2 - Hotho, Andreas T1 - Proceedings of the 2010 Workshop on Mining Ubiquitous and Social Environments (MUSE 2010) PB - ECML/PKDD 2010 C1 - Barcelona, Spain PY - 2010/ VL - IS - SP - EP - UR - DO - KW - 2010 KW - data KW - discovery KW - itegpub KW - knowledge KW - mining KW - muse KW - myown KW - social KW - ubiquitous KW - workshop L1 - SN - N1 - N1 - AB - ER - TY - CONF AU - Benz, Dominik AU - Krause, Beate AU - Kumar, G. Praveen AU - Hotho, Andreas AU - Stumme, Gerd A2 - T1 - Characterizing Semantic Relatedness of Search Query Terms T2 - Proceedings of the 1st Workshop on Explorative Analytics of Information Networks (EIN2009) PB - C1 - Bled, Slovenia PY - 2009/10 CY - VL - IS - SP - EP - UR - http://www.kde.cs.uni-kassel.de/pub/pdf/benz2009characterizing.pdf DO - KW - 2009 KW - ecml_pkdd KW - ein KW - itegpub KW - logsonomies KW - myown KW - ol_web2.0 KW - similarity_measures KW - widely_related KW - workshop L1 - SN - N1 - N1 - AB - ER - TY - GEN AU - A2 - Berendt, Bettina A2 - Hotho, Andreas A2 - Mladenic, Dunja A2 - Semerano, Giovanni A2 - Spiliopoulou, Myra A2 - Stumme, Gerd A2 - van Someren, Maarten T1 - Proc. of the European Web Mining Forum 2005 JO - PB - C1 - PY - 2005/ VL - IS - SP - EP - UR - http://www.kde.cs.uni-kassel.de/ws/ewmf05 DO - KW - 2005 KW - ecml KW - european KW - ewmf KW - forum KW - itegpub KW - l3s KW - mining KW - myown KW - pkdd KW - proceedings KW - web KW - workshop L1 - N1 - N1 - AB - ER - TY - GEN AU - A2 - Stumme, Gerd A2 - Hoser, Bettina A2 - Schmitz, Christoph A2 - Alani, Harith T1 - Proceedings of the First Workshop on Semantic Network Analysis JO - PB - CEUR Proceedings C1 - Aachen PY - 2005/ VL - IS - SP - EP - UR - http://sunsite.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-171/ DO - KW - 2005 KW - analysis KW - iswc KW - itegpub KW - l3s KW - myown KW - nepomuk KW - network KW - proceedings KW - semantic KW - semna KW - sna KW - workshop L1 - N1 - N1 - AB - ER - TY - CONF AU - Berendt, Bettina AU - Hotho, Andreas AU - Mladenic, Dunja AU - van Someren, Maarten AU - Spiliopoulou, Myra AU - Stumme, Gerd A2 - Berendt, Bettina A2 - Hotho, Andreas A2 - Mladenic, Dunja A2 - van Someren, Maarten A2 - Spiliopoulou, Myra A2 - Stumme, Gerd T1 - A Roadmap for Web Mining: From Web to Semantic Web. T2 - Web Mining: From Web to Semantic Web PB - Springer C1 - Heidelberg PY - 2004/ CY - VL - 3209 IS - SP - 1 EP - 22 UR - http://www.kde.cs.uni-kassel.de/stumme/papers/2004/berendt2004roadmap.pdf DO - KW - 2004 KW - ecml KW - ewmf KW - itegpub KW - l3s KW - mining KW - myown KW - pkdd KW - proceedings KW - roadmap KW - semantic KW - web KW - workshop L1 - SN - N1 - N1 - AB - The purpose of Web mining is to develop methods and systems for discovering models of objects and processes on the World Wide Web and for web-based systems that show adaptive performance. Web Mining integrates three parent areas: Data Mining (we use this term here also for the closely related areas of Machine Learning and Knowledge Discovery), Internet technology and World Wide Web, and for the more recent Semantic Web. The World Wide Web has made an enormous amount of information electronically accessible. The use of email, news and markup languages like HTML allow users to publish and read documents at a world-wide scale and to communicate via chat connections, including information in the form of images and voice records. The HTTP protocol that enables access to documents over the network via Web browsers created an immense improvement in communication and access to information. For some years these possibilities were used mostly in the scientific world but recent years have seen an immense growth in popularity, supported by the wide availability of computers and broadband communication. The use of the internet for other tasks than finding information and direct communication is increasing, as can be seen from the interest in ldquoe-activitiesrdquo such as e-commerce, e-learning, e-government, e-science. ER - TY - GEN AU - A2 - Berendt, Bettina A2 - Hotho, Andreas A2 - Mladenic, Dunja A2 - van Someren, Maarten A2 - Spiliopoulou, Myra A2 - Stumme, Gerd T1 - Web Mining: From Web to Semantic Web, First European Web
Mining Forum, EMWF 2003, Cavtat-Dubrovnik, Croatia, September
22, 2003, Revised Selected and Invited Papers JO - PB - Springer C1 - Heidelberg PY - 2004/ VL - 3209 IS - SP - EP - UR - http://springerlink.metapress.com/content/unvvag26dttf/ DO - KW - 2004 KW - ecml KW - itegpub KW - l3s KW - mining KW - myown KW - pkdd KW - proceedings KW - semantic KW - web KW - workshop L1 - N1 - N1 - AB - ER - TY - GEN AU - A2 - Maedche, Alexander A2 - Sattler, Kai-Uwe A2 - Stumme, Gerd T1 - Information Integration and Mining in Databases and on the Web. Proceedings of the 2nd International Workshop on Databases, Documents, and Information Fusion (DBFusion 2002) JO - CEUR-WS PB - C1 - Aachen PY - 2004/ VL - 124 IS - SP - EP - UR - http://ftp.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-124/ DO - KW - 2004 KW - databases KW - dbfusion KW - fusion KW - information KW - integration KW - itegpub KW - l3s KW - myown KW - proceedings KW - web KW - workshop L1 - N1 - N1 - AB - ER -