Second International Workshop on Gamification for Information Retrieval (GamifIR’15)

Organizers: Frank Hopfgartner, Gabriella Kazai, Udo Kruschwitz, Michael Meder, Mark Shovman

Abstract: Gamification is a popular methodology describing the trend of applying game design principles and elements, such as feedback loops, points, badges or leader boards in non-gaming environments. Gamification can have several different objectives. Besides just increasing the fun factor, these could be, for example, to achieve more accurate work, better retention rates and more cost effective solutions by relating motivations for participating as more intrinsic than conventional methods. In the context of Information Retrieval (IR), there are various tasks that can benefit from gamification techniques. Think, for example, of the manual annotation of documents in IR evaluation or participation in user studies to tackle interactive IR challenges. Gamification, however, comes with its own challenges and its adoption in IR is still in its infancy.

The Second International Workshop on Gamification for Information Retrieval (GamifIR’15) focuses on the challenges and opportunities that gamification can present for the IR community. The workshop aims to bring together researchers and practitioners from a wide range of areas including game design, information retrieval, human-computer interaction, computer games, and natural language processing.

Supporting Complex Search Tasks (half day)

Maria Gade, Mark Hall, Hugo Huurdeman, Jaap Kamps, Marijn Koolen, Mette Skov, Elaine Toms and David Walsh

Abstract: There is broad consensus in the field of IR that search is complex in many use cases and applications, both on the Web and in domain specific collections, and both professionally and in our daily life. Yet our understanding of complex search tasks, in comparison to simple look up tasks, is fragmented at best.

The workshop will address the many open research questions: What are the obvious use cases and applications of complex search? What are essential features of work tasks and search tasks to take into account? And how do these evolve over time? With a multitude of information, varying from introductory to specialized, and from authoritative to speculative or opinionated, when to show what sources of information? How does the information seeking process evolve and what are relevant differences between different stages? With complex task and search process management, blending searching, browsing, and recommendations, and supporting exploratory search to sensemaking and analytics, UI and UX design pose an overconstrained challenge. How do we know that our approach is any good?

Supporting complex search task requires new collaborations across the whole field of IR, and the proposed workshop will bring together a diverse group of researchers to work together on one of the greatest challenges of our field.

5th Workshop on Context-awareness in Retrieval and Recommendation (CaRR 2015) (full day)

Ernesto William De Luca, Alan Said, Fabio Crestani and David Elsweiler

Abstract: Context-aware information is widely available in various ways such as interaction patterns, devices, annotations, query suggestions and user profiles and is becoming more important for enhancing retrieval performance. At the moment, the main issue to cope with is not only 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, social surrounding) and interests.

In the 5th edition of the workshop we want to focus on integration notions of social context into retrieval and recommendation. By continuing the workshop at a core IR conference like ECIR we believe that we intensify the discussion already started in the last edition and get deeper into the discussion on what context-awareness is, and can be used in IR.

In the scope of this workshop, we see context as a general factor regarding the user, item, system, etc. e.g. location, weather, mood. The need of personalizing and adapting information is accentuated when we consider this kind of device- and interaction-based context. 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, CaRR aims at improving the exchange of ideas between different communities involved in research concerning, among other information retrieval, recommender systems, web mining, machine learning, data mining, hci, etc. The workshop is especially intended for researchers working on multidisciplinary tasks who
want to discuss problems and synergies.

2nd International Workshop on Bibliometric-enhanced Information Retrieval (half day)

Philipp Mayr, Ingo Frommholz, Peter Mutschke and Andrea Scharnhorst

Abstract: Bibliometric techniques are not yet widely used to enhance retrieval processes in digital libraries, although they offer value-added effects for users. In this workshop we will explore how statistical modelling of scholarship, such as Bradfordizing or network analysis of coauthorship network, or simple citation graphs, can improve retrieval services for specific communities, as well as for large, cross-domain collections like Mendeley. This workshop aims to raise awareness of the missing link between Information Retrieval (IR) and bibliometrics/scientometrics and to create a common ground for the incorporation of bibliometric-enhanced services into retrieval at the scholarly search engine interface.

The second BIR workshop (BIR2015) addresses scholarly and explicitly industrial researchers. Our interests include information retrieval, information seeking, science modelling, network analysis, and digital libraries. The goal is to apply insights from bibliometrics, scientometrics, and informetrics to concrete, practical problems of information retrieval and browsing.

Multimodal Retrieval in the Medical Domain (MRMD 2015) (full day)

Henning Müller, Oscar Jiménez Del Toro, Allan Hanbury, Georg Langs and Antonio Foncubierta-Rodríguez

Abstract: Medical information is of interest to a wide variety of users, including patients and their families, researchers, general practitioners and clinicians, and practitioners with specific expertise such as radiologists. There are several dedicated services that seek to make this information more easily accessible, such as Health on the Net’s medical search systems for the general public and medical practitioners: Despite the popularity of the medical domain for users of search engines, and current interest in this topic within the information retrieval research community, development of search and access technologies remains particularly challenging.