Keynote by David Elsweiler

We are pleased to announce that David Elsweiler will be giving the keynote at CaRR 2014.

Abstract: Behaviour with Search and Recommender Systems: what can it tell us?

Recommender Systems and IR are technically very similar problems, but are typically treated separately and often investigated by different groups of researchers. Looking at how people behave with such systems can be one way of unifying the problem, as well as the researchers, and can also be a useful, complementary evaluation method.  When examining user behaviour, context is crucial.  By focusing on the user behaviour and the encapsulating context, we can ask questions about tools that combine search and recsys like: when do people prefer to search and when do they prefer recommendations? What does this mean for what they are trying to achieve? In this talk I will try to answer such questions with examples from leisure and health domains. Finally, looking towards the future, I will argue that the relationship between search and recommender systems and behaviour can go full circle i.e., that both have the potential to impact on user behaviour in positive ways, and will present some ideas that I together with collaborators are doing to explore this.


David Elsweiler is a lecturer and post-doctoral researcher at the University of Regensburg, Germany. Before that he was an Alexander von Humboldt Research Fellow at the University of Erlangen-Nuremberg also in Germany.  David’s research focuses on understanding information behaviour with the main aim of designing information systems that align with the way people think and behave naturally. He received his Ph.D from the University of Strathclyde, United Kingdom in 2007. David has published 50 conference papers, journal articles and book chapters on personal information management, search and recommender systems, as well as user studies investigating what users want from such systems and how they behave to achieve their aims. David has won several awards including an ACM SIGIR Outstanding Paper Award (2011) and an Emerald Outstanding Author Contribution Award for best book chapter (2011).

This year he is general co-chair for the Information Interaction in Context Conference ( and he has previously co-organised successful workshops at ACM SIGIR, BCS, ECIR, CIKM, ASIST and CSCW on topics such as Desktop Search, Evaluation of Personal Search, Searching4Fun, Personal Information Management and Living-labs Evaluation.

CaRR 2013

We’re happy to announce that the Workshop on Context-awareness in Retrieval and Recommendation will be returning for a third installment. This time CaRR will be organized in conjunction with the Sixth ACM International Conference on Web Search and Data Mining (WSDM ’13) in Rome in February 2013.

We’ll be updating the website shortly with detailed information on submission dates. The tentative dates for CaRR 2013 are

  • Paper submission: November 30th, 2012
  • Notifications: December 20th, 2012
  • Camera Ready: January 10th, 2013
  • Workshop: February 5th, 2013

Call for Papers

2nd Workshop on Context-awareness in Retrieval and Recommendation

Location: Lisbon, Portugal
Date: February 14, 2012

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 (

  • 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