27 July 2008

Call for papers: Intelligent Techniques for Personalization and Recommendation

Call for papers: Intelligent Techniques for Personalization and Recommendation

A special issue of International Journal of Advanced Intelligence Paradigms

In recent years, personalization and recommendation technologies have emerged as a means to help users to cope with the problem of information overload caused by the explosive growth of resources available through on-line sources. Examples include adaptive systems, which adapt their behaviour to user preferences and needs, and recommender systems that predict the relevance of diverse items (e.g., movies, travels, products, etc.) according to the user interests. Efficient intelligent techniques are needed to mine data gathered from user behaviour for actionable knowledge enabling the enhancement of the user experience. Intelligent techniques to be applied in personalization and recommendation must address important challenges arising from both the technological and the human perspective, which require the involvement of multiple research fields such as user modelling, machine learning, intelligent information retrieval, data and text mining, statistics, computational intelligence, human-computer interaction and intelligent software agents.

The aim of this issue is to bring together researchers and practitioners working on personalization and recommendation technologies based on intelligent techniques to share their insights, research achievements and experiences in the development of real-world applications.

The guest editor welcomes the submission of original papers addressing the specification and application of intelligent techniques to personalization and recommendation in diverse domains.

Topics of particular interest include, but are not limited to:
  • Machine learning techniques for personalization
  • Data and text mining for personalization
  • Web usage, content, and structure mining for personalization
  • User profiling in adaptive systems
  • Collaborative and content-based algorithms for recommendation
  • Group modeling and community discovery algorithms
  • Methodologies for evaluation of recommender and adaptive systems
  • Human-computer interaction aspects of personalization
  • Conversation recommender systems
  • Explanation in recommender systems
  • Social modelling and social networking for recommendation
  • Security and privacy aspects of personalization and recommendation
  • Trust management and reputation in recommender systems
  • Interface agents, personal assistants and multi-agent systems for recommendation
  • Novel recommendation techniques and algorithms for Web and Web 2.0
  • Innovative applications of personalization and recommendation technologies
Important Dates
Title and abstract submission (optional): as soon as possible
Manuscript submission deadline: 15 September, 2008
Notification of acceptance: 15 October, 2008
Camera-ready version deadline: 30 October 30th, 2008

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