**********************************************************************************************
Call for Papers
The First Workshop on Personalised Multilingual Hypertext Retrieval (PMHR 2011)
<http://www.dai-labor.de/pmhr2011/>
Workshop date: June 6, 2011
Location: Eindhoven University of Technology, Eindhoven, the Netherlands.
Submission deadline: 14th April 2011
**********************************************************************************************
The workshop has four main goals:
- to bring together researchers from different areas to exchange ideas for both personalised and multilingual IR.
- the identification of recent advances in, and major obstacles to research in this area.
- to provide researchers with an overview of approaches, resources, and current and planned research activities in the area.
- to stimulate discussion towards identifying cross-disciplinary solutions to some of the problems in the area.
**********************************************************************************************
Search engines have traditionally followed a “one size fits all” paradigm and returned the same results for all users. They do not adapt to the user, the domain, or the search context. Thus, the search process and the number and type of results returned are not tailored to the individual user or her/his search situation. Personalised hypertext retrieval is concerned with adapting the search process to the user’s needs. This includes adapting the system, the query-document similarity metrics, the search results, and their presentation to an individual user. The personalisation process can be based on models of the user, the domain, and the search context, but no standard representation or resources have evolved to-date.
It can often be the case that non-native English speakers suffer limited or restricted online experiences as typically the majority of web content is still authored in English. Machine translated versions of content may be generated for some languages, but this is not always the case. This results in greatly restricted content collections.
This workshop explores the use of multilingual hypertext retrieval technologies and adaptive personalisation techniques to enable end-users to conduct searches in their native language, but receive results collated from content collections in a variety of languages, all tailored for consumption by the end-user.
The PMHR workshop aims to promote the exchange of ideas between researchers working on hypertext and adaptive hypertexts, cross-lingual information retrieval, personalised search, personalisation for Web and hypertexts, and recommender systems. The workshop will have a specific focus on research in user modelling and multilingual personalisation for hypertext retrieval. In addition, submissions which focus on non-English data or research with a clear application in a multilingual scenario are welcome.
Topics
Topics of interest include, but are not limited to, the following areas:
- Multilingual semantic search and intelligent information retrieval, extraction and filtering (e.g. How does a multilingual setting affect personalised hypertext IR?)
- Multilingualism in semantic search, semantic web, or in context-aware and semantic recommender systems
- Recommender systems, adaptation engines, and algorithms for personalised multilingual IR
- User modelling and adaptation (e.g. creation and exploitation of individual or stereotypical user profiles)
- Content personalisation and personalised result presentation (e.g. result presentation beyond the ranked list to enable users to fully benefit from the semantics carried by the hypertext structure)
- Domain modelling (e.g. adaptation to different domains)
- Creating relevant linguistic resources (processing user models, query logs or forum postings); privacy issues
- External knowledge resources for personalised multilingual hypertext IR (e.g. ontologies)
- Personalisation of multilingual tools
- Tools and methods for bilingual search
- Evaluation methodologies and metrics for personalised hypertext IR (e.g. How can the evaluation gap between IR/multilingual text retrieval and research disciplines such as adaptive hypermedia be bridged?)
Submissions
We invite researchers to submit full papers of between 6 and 8 pages (including references) or short papers of up to 2 pages. Long papers constitute an excellent opportunity to publish citable, in-depth
descriptions of systems and ongoing research. Submissions must be in English. Reviewing of papers will be double-blind by the members of the program committee, and all submissions will receive several independent reviews.
Authors of selected accepted papers will be invited to present their research at the workshop. Accepted papers will be published in the proceedings of the workshop.
The papers must use the Springer LNCS format. Please strictly follow the Springer LNCS format guidelines. Papers must be submitted electronically in PDF format.
For paper submissions we use EasyChair, see
<http://www.dai-labor.de/pmhr2011/submission/>
Date and Location
Location: Eindhoven University of Technology, Eindhoven, the Netherlands.
Date: June 6, 2011
Important Dates
Program Committee
James Allan, University of Massachusetts, Amherst, USA.
Korinna Bade, University of Magdeburg, Germany.
Federica Cena, University of Turin, Italy.
Juan Manuel Cigarran, National Distance Learning University, Madrid, Spain.
Joemon Jose, University of Glasgow, UK.
Michael Kruppa, DFKI GmbH, Berlin, Germany.
Udo Kruschwitz, University of Essex, Essex, UK.
Paul McNamee, Johns Hopkins University, US.
Jian-Yun Nie, University of Montréal, Canada.
Alex O’Connor, Trinity College Dublin, Ireland.
Georg Rehm, DFKI GmbH, Berlin, Germany.
Maarten de Rijke, University of Amsterdam, The Netherlands.
Stefan Rüger, The Open University, UK.
Dong Zhou, Trinity College Dublin, Ireland.
Organizers
Maristella Agosti (Department of Information Engineering, University of Padova)
Ernesto William De Luca (Competence Center for Information Retrieval and Machine Learning, Berlin Institute of Technology)
Séamus Lawless (Knowledge and Data Engineering Group (KDEG) and CNGL, Trinity College Dublin)
Johannes Leveling (School of Computing and CNGL, Dublin City University)
Further Information
<http://www.dai-labor.de/pmhr2011/>
Workshop Contact Address