NEW: Call for Papers - Special Issue of ACM Transactions on Internet Technology

Overview

Web Personalization can be defined as any set of actions that can tailor the Web experience to a particular user or set of users. The experience can be something as casual as browsing a Web site or as (economically) significant as trading stocks or purchasing a car. The actions can range from simply making the presentation more pleasing to anticipating the needs of a user and providing customized and relevant information. To achieve effective personalization, organizations must rely on all available data, including the usage and click-stream data (reflecting user behaviour), the site content, the site structure, domain knowledge, as well as user demographics and profiles. In addition, efficient and intelligent techniques are needed to mine this data for actionable knowledge, and to effectively use the discovered knowledge to enhance the users' Web experience. These techniques must address important challenges emanating from the size and the heterogeneous nature of the data itself, as well as the dynamic nature of user interactions with the Web. These challenges include the scalability of the personalization solutions, data integration, and successful integration of techniques from machine learning, information retrieval and filtering, databases, agent architectures, knowledge representation, data mining, text mining, statistics, user modelling and human-computer interaction. Throughout the history of the Web, AI has continued to play an essential role in the development of Web-based information systems, and now it is believed that personalisation will prove to be the "killer-app" for AI. E-commerce and Web information systems are rich sources of difficult problems and challenges for AI researchers.

This workshop represents the third in a successful series of workshops at held at IJCAI. It intends to bring together researchers and practitioners to foster an exchange of information and ideas, and to facilitate a discussion of current and emerging topics related to Web Intelligence. Web Intelligence exploits AI and advanced information technology on the Web and Internet, in order to gain business intelligence and to assist users. The goal of the workshop is to stimulate the future development of new models, methodologies, and tools for Web intelligence, including effective and scalable Web-based personalization solutions and recommender systems.

Topics

Data and Knowledge Modeling, Integration and Management

• The use of domain knowledge and ontologies in user modelling
• User context definition and modelling
• Data models for Web usage, content, and structure data
• Integration of content, structure and usage data for personalization
• Techniques for improving online data quality
• The role of multi channel data in online personalisation
• Model integration for personalization and recommendation systems
• Implicit Measures of User Interest

Systems and Architectures

• Scalable collaborative filtering techniques
• Secure presonalization and recommender systems
• Personalization based on anonymous data
• Agents for intelligent browsing and navigation
• Hybrid Recommendation System
• Conversational Recommendation Systems
• Adaptive hypertext systems
• Client Side Recommendation Agents
• Evaluation issues in personalization

Enabling Technologies

• Data/Web mining for personalization
• Automated Techniques for user profile generation and updating
• Cognitive models for Web navigation and e-commerce interactions
• Automated techniques for ontology generation, learning, and acquisition
• Machine Leaning techniques for information extraction and integration
• Personalized Search
• Learning metadata and Harvesting

Submission Instructions

NOTE: For formatting instructions on camera-ready papers, please see Instructions for Authors.

Papers must be submitted by noon (US Central Time) on Monday, April 4, 2005. All submissions must be made electronically to mobasher@cs.depaul.edu. Complete instructions for formatting are available at the IJCAI-05 Web site (http://www.ijcai-05.org/). Papers should be no more than 8 pages inclusive of all references and figures. All papers must be submitted in either PDF (preferred) or postscript. It is the responsibility of the authors to ensure that the submitted papers print correctly on a variety of printers. If any special fonts are used, they must be included in the submission. All papers must be original, and have not been published or submitted elsewhere.

Note: Workshop participants are not required to register for the main IJCAI conference.

Post-Workshop Publications: In addition to the workshop proceedings published by IJCAI, selected papers from the workshop will be expanded and published as part of a special issue of ACM Transactions on Internet Technology.

Important Dates and Deadlines

Paper Submission: April 4, 2005
Notification of Acceptance: May 2, 2005
Camera Ready Papers Due: May 23, 2005
Workshop Program: August 1, 2005