CALL FOR PAPERS
CaRR2011 :: IUI2011 Workshop on Context-awareness in Retrieval and Recommendation
Location: Palo Alto, California, USA
Date: February 13, 2011
Website: http://www.dai-labor.de/carr2011/
General Information:
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Context-aware information is widely available in various ways such as interaction patterns, location, devices, annotations, query suggestions and user profiles and is becoming more and more important for enhancing retrieval performance and recommendation results. At the moment, the main issue to cope with is not only recommending or retrieving the most relevant items and content, but defining them ad hoc. Further relevant issues are personalizing and adapting the information and the way it is displayed to the user's current situation (device, location) and interests.
In this workshop we focus on the integration of context for retrieval and recommendation.
We recognize a general content context and a user-centric content context.
A general content context is a common case defined by time, weather, location and many similar other aspects. A user-centric content context is given by the content of user profiles such as language, interests, devices used for interaction, etc.
Call for Papers:
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The aim of the CaRR Workshop is to invite the community to a discussion in which we will try to find new creative ways to handle context-awareness. Furthermore, the workshop aims at improving the exchange of ideas between different communities involved in research concerning, among other machine learning, information retrieval and recommendation.
The workshop is especially intended for researchers working on multidisciplinary tasks who want to discuss problems and synergies. We are interested in ideas about creative and collaborative approaches for context-aware retrieval and recommendation.
The participants are encouraged to address the following questions:
* Why is context-awareness in retrieval and recommendation necessary?
* Which benefits come from context-aware retrieval and recommendation systems?
* How do user interfaces handle context?
* In what ways can context improve HCI?
* How can we combine general- and user-centric context-aware technologies?
* How should context affect the way information is presented?
The topics of interest include, but are not limited to, the following aspects:
* Context-aware information retrieval
* Context-aware profiling, clustering and collaborative filtering
* Machine learning for context-aware information retrieval and ontology learning
* Ubiquitous and context-aware computing
* Use of context-aware technologies in UI/HCI
* Context-aware advertising
* Recommendations for mobile users
* Context-awareness in portable devices
Paper submissions and reviews will be handled electronically through the CaRR page in EasyChair (which will be made available at a later point in time).
Important dates:
* Paper submission: November 1, 2010
* Notification: December 12, 2010
* Camera-ready submission: December 19, 2010
* Workshop: February 13, 2010
Organizers and Committees:
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* Ernesto William De Luca, DAI Lab/Technische Universität Berlin
* Alan Said, DAI Lab/Technische Universität Berlin
* Matthias Böhmer, Münster University of Applied Sciences
* Florian Michahelles, ETH Zurich
Industrial Chair
* Sahin Albayrak, DAI Lab/Technische Universität Berlin
Program Committee
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* Sarabjot Singh Anand, University of Warwick, UK
* Gernot Bauer, Münster University of Applied Sciences, Germany
* Shlomo Berkovsky, CSIRO, Australia
* Toine Bogers, Royal School of Library Information Science, Denmark
* Gregor Broll, LMU/Docomo, Germany
* Li Chen, Hong Kong Baptist University, China
* Ed Chi, PARC, USA
* Marco Degemmis, University of Bari “Aldo Moro”, Italy
* Aldo Gangemi, Italian National Research Council, Italy
* Ido Guy, IBM, Israel
* Olaf Hartig, Humboldt-Universität zu Berlin, Germany
* Dietmar Jannach, TU-Dortmund, Germany
* Carsten Kessler, University of Münster, Germany
* Thomas Kirste, Universität Rostock, Germany
* Antonio Krüger, DFKI, Saarbrücken, Germany
* Michael Kruppa, DFKI, Berlin, Germany
* Neal Lathia, University College London, UK
* Ulf Leser, Humboldt-Universität zu Berlin, Germany
* Johannes Leveling, Dublin City University, Ireland
* Pasquale Lops, University of Bari “Aldo Moro”, Italy
* Bernd Ludwig, University of Erlangen-Nürnberg, Germany
* Stefan Mandl, University of Erlangen-Nürnberg, Germany
* Thomas Mandl, University of Hildesheim, Germany
* Marco Pennacchiotti, Yahoo!, USA
* Till Plumbaum, DAI Lab/Technische Universität Berlin, Germany
* Francesco Ricci, Free University of Bozen-Bolzano, Italy
* Christoph Schlieder, Universität Bamberg, Germany
* Edmund Schuster, MIT, USA
* Bracha Shapira, Ben Gurion University, Israel
* Armando Stellato, University of Tor Vergata, Rome, Italy
* Jesse Vig, Universtity of Minnesota, USA
* Robert Wetzker, TU-Berlin, Germany
* Qiang Yang, Hong Kong University of Science and Technology, China
Best,
Ernesto William De Luca
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Dr.-Ing. Ernesto William De Luca
Director of the Competence Center Information Retrieval & Machine Learning
Technische Universität Berlin - DAI-Laboratory Sekr. TEL 14
Ernst-Reuter-Platz 7
10587 Berlin / Germany
Phone: +49 30 314 74074
Fax: +49 30 314 74003
E-mail: ernesto.deluca@dai-labor.de
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