About Matthias Böhmer

Researcher at DFKI

Keynote by Paul Bennett

We are delighted to announce that Paul Bennett will give a keynote at our workshop:

Mining and Learning from Context in Search

Abstract: Information retrieval has made significant progress in returning relevant results for a single query. However, much search activity is conducted within a much richer context of a current task focus, recent search activities as well as longer-term preferences. For example, our ability to accurately interpret the current query can be informed by knowledge of the web pages a searcher was viewing when initiating the search or recent actions of the searcher such as queries issued, results clicked, and pages viewed. We develop a framework that enables representation of a broad variety of context including the searcher’s long-term interests, recent activity, current focus, and other user characteristics. We then demonstrate how that can be used to improve the quality of search results. We describe recent progress on three key challenges in this domain: enriching information retrieval via automatically generated metadata; mining contextual signals from large scale logs; and using contextual representations in learning to improve both standard ad hoc and personalized retrieval.

Bio: Paul Bennett is a Researcher in the Context, Learning & User Experience for Search (CLUES) group at Microsoft Research where he focuses on the development, improvement, and analysis of machine learning and data mining methods as components of real-world, large-scale adaptive systems. His research has advanced techniques for ensemble methods and the combination of information sources, calibration, consensus methods for noisy supervision labels, active learning and evaluation, supervised classification (with an emphasis on hierarchical classification) and ranking with applications to information retrieval, crowdsourcing, behavioral modeling and analysis, and personalization. He completed his dissertation on combining text classifiers using reliability indicators in 2006 at Carnegie Mellon where he was advised by Profs. Jaime Carbonell and John Lafferty.

Keynote by Anthony Jameson

We are delighted to announce that Anthony Jameson will give a keynote at our workshop:

Roles of Context in Information Retrieval and Recommendation: A Choice and Decision Making Perspective

Abstract: Systems for information retrieval and recommendation can be seen as tools that help people make good choices and decisions: about which documents to read, which products to buy, which people to contact, …. Taking this perspective, we can exploit insights from psychological research on how people make choices and decisions – in particular, on the role played by psychologically relevant contextual factors such as current goals, mood, time pressure, and distractions. In this talk, after looking at a compact overview of the diverse psychological processes involved in choosing – ranging from choices made quickly and intuitively to deliberate decisions – we will consider some questions about the roles of context in these processes: How can context influence a person’s current information need or the value that they attach to a particular item? How can context influence how such needs and evaluations are expressed or reflected in behavior (even if it doesn’t influence these things themselves)? And in the light of the answers to these questions: To what extent do people actually have needs and evaluations which exist independently of the contexts in which they are reflected in behavior? Implications for the design and study of context-aware systems for retrieval and recommendation will be discussed with audience participation.

Short Bio

Anthony Jameson is a principal researcher at DFKI, the German Research Center for Artificial Intelligence, where he heads the recently founded research unit on Choosability Engineering, which synthesizes and exploits knowledge about human choice and decision making in the design and study of (intelligent) interactive systems. Much of his research over the past three decades has addressed various aspects of user modeling and recommendation in interdisciplinary ways. He is the author of the chapter Choices and Decisions of Computer Users in the forthcoming third edition of the Human-Computer Interaction Handbook and founding coeditor-in-chief (with John Riedl) of the ACM Transactions on Interactive Intelligent Systems.

Proceedings will be published by ACM

We are happy to announce that the proceedings of CaRR 2012 will be published in the ACM Digital Library within its International Conference Proceedings. Also the proceedings of the 2011 edition are available in ACM DL:

Please see the submission page for submission types and instructions on how to format your paper, also see the Call for Papers.

Call for Papers

2nd Workshop on Context-awareness in Retrieval and Recommendation

Location: Lisbon, Portugal
Date: February 14, 2012
Website: http://carr-workshop.org

General Information

Following the successful 2011 Workshop on Context-awareness in Retrieval and Recommendation we are delighted to invite you to the second installment which will be held in conjunction with the 2012 Conference on Intelligent User Interfaces.

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

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 HCI, machine learning, information retrieval and recommendation. The workshop is especially intended for researchers working on multidisciplinary tasks who want to discuss problems and synergies.

The participants are encouraged to address the following questions:

  • 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?
  • Which new means for collecting user feedback does UbiComp provide?
  • What new type of items (beyond books, news and movies) are worth recommending by means of context-aware systems (e.g. places, friends, apps)?

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: December 23rd, 2011 January 6th, 2012
  • Notification: January 20th, 2012
  • Camera-ready submission: January 27th, 2012
  • Workshop: February 14th, 2012

Organizers and Committees

General Chairs (info@carr-workshop.org)

  • Ernesto William De Luca – DAI Lab/Technische Universität Berlin
  • Matthias Böhmer – German Research Center for Artificial Intelligence (DFKI)
  • Alan Said – DAI Lab/Technische Universität Berlin
  • Ed Chi – Google Inc.

Program Committee (to be extended)

  • Omar Alonso – Microsoft, USA
  • Hideki Asoh – AIST, Japan
  • Robin Burke – DePaul University, USA
  • Linas Baltrunas – Telefonica Research, Spain
  • Toine Bogers – Royal School of Library Information Science, Denmark
  • Li Chen – Hong Kong Baptist University, China
  • Karen Church – Telefonica Research, Spain
  • Marco Degemmis – University of Bari “Aldo Moro”, Italy
  • Ido Guy – IBM, Israel
  • Qi He – IBM, USA
  • Tim Hussein – University of Duisburg-Essen, Germany
  • Brijnesh-Johannes Jain – TU-Berlin, Germany
  • Dietmar Jannach – TU-Dortmund, Germany
  • Alexandros Karatzoglou – Telefonica Research, Spain
  • Carsten Kessler – University of Münster, Germany
  • Alfred Kobsa – University of California, Irvine, USA
  • Antonio Krüger – DFKI, Saarbrücken, Germany
  • Michael Kruppa – DFKI, Berlin, Germany
  • Martha Larson – TU-Delft, The Netherlands
  • Ulf Leser – Humboldt-Universität zu Berlin, Germany
  • Pasquale Lops – University of Bari “Aldo Moro”, Italy
  • Petteri Nurmi – HIIT, Finnland
  • Till Plumbaum – DAI Lab/Technische Universität Berlin, Germany
  • Francesco Ricci – Free University of Bozen-Bolzano, Italy
  • Markus Schedl – Johannes Kepler University, Austria
  • Armando Stellato – University of Tor Vergata, Rome, Italy
  • Domonkos Tikk – Gravity R&D, Hungary