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                                   Call for Papers

Introduction

The explosive growth of the Internet has made the issue of information overload increasingly serious. Web users are very often overwhelmed by huge amount of information and are faced with a big challenge to find the most relevant information in right time. In recent years, interest in recommender systems has dramatically increased, driven by demand for Internet personalization applications. Many major e-commerce web sites are currently using recommender systems to provide advice to users about products or services and help users find the information of their interests quickly. Web-based recommender systems are the most notable application of the web personalization. With today's increasing information overload problem on the Web, the area of recommender systems research becomes more challenging than ever before.

There remain difficulties limiting the full exploitation of personalization and recommendation, arising both from technology and from the "human factor." The goal of this workshop is to bring together academic and industrial researchers to exchange ideas about past, present and future trends in Web personalization and recommender systems and discuss the most innovative approaches to personalization and recommendation making. The themes will be in algorithms, applications and interfaces.

We solicit contributions that advance the technology in Web Personalization and Recommendation making.  Prospective authors are invited to submit papers in all related areas.

Topics

The topics include, but are not limited to:

  • User behaviour modelling
  • Web mining
  • Collaborative and content based filtering
  • Clustering in recommender systems
  • Hybrid recommender systems
  • Security and trust in recommender systems
  • Ontologies and semantic web technologies for recommender systems
  • Content management and modelling
  • Adaptive user interfaces and personalization techniques
  • Recommender systems in negotiation and auctions
  • Explanation and justification in recommender systems
  • Distributed and peer-to-peer recommender systems
  • Modelling decision making in e-commerce systems
  • Web information gathering
  • Measuring personalization effectiveness
  • Evaluation methods for recommender systems
  • Incorporation of domain knowledge and business processes

Type of the Workshop

The workshop will run as a half-day workshop for 8 - 12 paper presentations.

Important Dates:

Full paper submission deadline:    20 June, 2007, 15 July, 2007

Notification of acceptance to authors: 3 August, 2007

  Camera-ready of accepted papers: 17 August, 2007

Workshop: 2 - 5 November, 2007

Paper Submission:

Paper submissions should be limited to a maximum of 4 pages (only one more page is available and extra payment is required for the extra page). The papers must be in English and should be formatted according to the IEEE 2-column format (see the Author Guidelines at http://www.computer.org/portal/pages/cscps/cps/final/wi06.xml).  All submitted papers will be reviewed by at least 2 program committee members on the basis of technical quality, relevance, significance, and clarity. The workshop only accepts on-line submissions. Please use the Submission Form on the WI'07 website to submit your paper.

All accepted papers will be included in the Workshop Proceedings published by the IEEE Computer Society Press, which are indexed by EI.

Organizers

Dr. Yue Xu
School of Software Engineering and Data Communications
Queensland University of Technology
Brisbane, QLD 4001, Australia
E-mail: yue.xu@qut.edu.au

Dr. Yuefeng Li   
School of Software Engineering and Data Communications  
Queensland University of Technology  
Brisbane, QLD 4001, Australia
E-mail: y2.li@qut.edu.au

Dr. Raymond Y.K. Lau
Department of Information Systems
City University of Hong Kong
Tat Chee Avenue, Kowloon, Hong Kong SAR
E-mail: raylau@cityu.edu.hk