Calls for papers

 

International Journal of Advanced Intelligence Paradigms

 

Special Issue on: "Intelligent Techniques for Personalization and Recommendation"

Guest Editor : Dra. Daniela Godoy, UNICEN University, Argentina

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.

Subject Coverage
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

Notes for Prospective Authors

Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere

All papers are refereed through a peer review process. A guide for authors, sample copies and other relevant information for submitting papers are available on the Author Guidelines page

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