Proceedings of the 1st International Workshop on Interactions between 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.
CEUR Workshop Proceedings. Band 1202.
CEUR-WS.org, 2014.
Peggy Cellier, Thierry Charnois, Andreas Hotho, Stan Matwin, Marie-Francine Moens und Yannick Toussaint.
[doi]
[BibTeX]
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.
CEUR Workshop Proceedings. Band 1271.
CEUR-WS.org, 2014.
Dietmar Jannach, Jill Freyne, Werner Geyer, Ido Guy, Andreas Hotho und Bamshad Mobasher.
[doi]
[BibTeX]
The sixth ACM RecSys workshop on recommender systems and the social web.
In:
Eighth ACM Conference on Recommender Systems, RecSys '14, Foster City, Silicon Valley, CA, USA - October 06 - 10, 2014, Seiten 395.
2014.
Dietmar Jannach, Jill Freyne, Werner Geyer, Ido Guy, Andreas Hotho und Bamshad Mobasher.
[doi]
[BibTeX]
Summary of the 15th Discovery Challenge: Recommending Given Names.
In:
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, Band 1120, Seiten 7-24.
CEUR-WS, Aachen, Germany, 2014.
Folke Mitzlaff, Stephan Doerfel, Andreas Hotho, Robert Jäschke und Juergen Mueller.
[doi]
[Kurzfassung]
[BibTeX]
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.
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.
2013.
[doi]
[BibTeX]
A Generic Platform for Ubiquitous and Subjective Data.
In:
1st International Workshop on Pervasive Urban Crowdsensing Architecture and Applications, PUCAA 2013, Zurich, Switzerland - September 9, 2013. Proceedings, Seiten 1175-1182.
ACM, New York, NY, USA, 2013.
Martin Becker, Juergen Mueller, Andreas Hotho und Gerd Stumme.
[Kurzfassung]
[BibTeX]
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.
A Generic Platform for Ubiquitous and Subjective Data.
In:
1st International Workshop on Pervasive Urban Crowdsensing Architecture and Applications, PUCAA 2013, Zurich, Switzerland - September 9, 2013. Proceedings, Seiten New York, NY, USA.
ACM, 2013.
Accepted for publication
Martin Becker, Juergen Mueller, Andreas Hotho und Gerd Stumme.
[Kurzfassung]
[BibTeX]
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.
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..
CEUR Workshop Proceedings. Band 1066.
CEUR-WS.org, 2013.
Bamshad Mobasher, Dietmar Jannach, Werner Geyer, Jill Freyne, Andreas Hotho, Sarabjot Singh Anand und Ido Guy.
[doi]
[BibTeX]
Proceedings of the 2013 International Smart University Workshop (SmartU 2013).
2013.
[BibTeX]
4th ACM RecSys workshop on recommender systems and the social web..
In: P. Cunningham, N. J. Hurley, I. Guy und S. S. Anand
(Herausgeber):
RecSys, Seiten 345-346.
ACM, 2012.
Bamshad Mobasher, Dietmar Jannach, Werner Geyer und Andreas Hotho.
[doi]
[BibTeX]
RSWeb '12: Proceedings of the 4th ACM RecSys workshop on Recommender systems and the social web.
ACM, New York, NY, USA, 2012.
609126.
[Kurzfassung]
[BibTeX]
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:</p> <p>(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.</p> <p>(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.</p> <p>(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.</p> <p>(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.</p> <p>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.</p> <p>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.
Proceedings of the 2011 International Workshop on Mining Ubiquitous and Social Environments (MUSE 2011).
2011.
[BibTeX]
3rd workshop on recommender systems and the social web.
In:
Proceedings of the fifth ACM conference on Recommender systems, Reihe RecSys '11, Seiten 383-384.
ACM, New York, NY, USA, 2011.
Jill Freyne, Sarabjot Singh Anand, Ido Guy und Andreas Hotho.
[doi]
[Kurzfassung]
[BibTeX]
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.</p> <p>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.</p> <p>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</p> <p>Full workshop details are available at http://www.dcs.warwick.ac.uk/~ssanand/RSWeb11/index.htm
Proceedings of the 2010 Workshop on Mining Ubiquitous and Social Environments (MUSE 2010).
2010.
[BibTeX]
Characterizing Semantic Relatedness of Search Query Terms.
In:
Proceedings of the 1st Workshop on Explorative Analytics of Information Networks (EIN2009).
Bled, Slovenia, 2009.
Dominik Benz, Beate Krause, G. Praveen Kumar, Andreas Hotho und Gerd Stumme.
[doi]
[BibTeX]
Proc. of the European Web Mining Forum 2005.
2005.
Bettina Berendt, Andreas Hotho, Dunja Mladenic, Giovanni Semerano, Myra Spiliopoulou, Gerd Stumme und Maarten van Someren.
[doi]
[BibTeX]
Proceedings of the First Workshop on Semantic Network Analysis .
CEUR Proceedings, Aachen, 2005.
Gerd Stumme, Bettina Hoser, Christoph Schmitz und Harith Alani.
[doi]
[BibTeX]
A Roadmap for Web Mining: From Web to Semantic Web..
In: B. Berendt, A. Hotho, D. Mladenic, M. van Someren, M. Spiliopoulou und G. Stumme
(Herausgeber):
Web Mining: From Web to Semantic Web, Band 3209, Seiten 1-22.
Springer, Heidelberg, 2004.
Bettina Berendt, Andreas Hotho, Dunja Mladenic, Maarten van Someren, Myra Spiliopoulou und Gerd Stumme.
[doi]
[Kurzfassung]
[BibTeX]
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.
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.
LNAI. Band 3209.
Springer, Heidelberg, 2004.
http://km.aifb.uni-karlsruhe.de/ws/ewmf03/.
Bettina Berendt, Andreas Hotho, Dunja Mladenic, Maarten van Someren, Myra Spiliopoulou und Gerd Stumme.
[doi]
[BibTeX]
Information Integration and Mining in Databases and on the Web. Proceedings of the 2nd International Workshop on Databases, Documents, and Information Fusion (DBFusion 2002).
CEUR Workshop Proceedings. Band 124.
Aachen, 2004.
Alexander Maedche, Kai-Uwe Sattler und Gerd Stumme.
[doi]
[BibTeX]