ACM Transactions On Internet Technology

Special Issue on

Intelligent Techniques for Web Personalization

Call for Papers

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. E-commerce and Web information systems are rich sources of difficult problems and challenges for AI researchers. 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.

This special issue follows a series of three workshops held in conjunction with the International Joint Conference in Artificial Intelligence (IJCAI). The latest workshop in the series was held in Edinburgh, Scotland on the 1st of August, 2005.

Original contributions are solicited in the following areas:

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
  • Modelling the evolution of interests and preference over time or tasks
  • 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 and critique-based 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

Authors are requested to send an intention of submission (with authors, title and abstract) as an email message in plain text to s.s.anand@warwick.ac.uk by September 15, 2005. Then, papers must be submitted in PDF format as an attachment to the same email address before November 1, 2005. Initial manuscripts must not exceed 40 single-column, double-spaced pages (including figures and tables) and must be written in English and set in 11 point font. All papers must be original, and have not been published or submitted elsewhere.

NOTE: For formatting instructions on final camera-ready manuscripts, please follow the formatting guidelines and templates available at the ACM Trasactions on Internet Technology.

Important Dates and Deadlines

Titles and Abstracts: September 15, 2005
Manuscript Submission: November 1, 2005
Author Notification: January 15, 2005

Guest Editors

Bamshad Mobasher
School of Computer Science, Telecommunication, and Information Systems,
DePaul University,
243 S. Wabash Ave.
Chicago, IL, 60604, USA
mobasher@cs.depaul.edu

Sarabjot Singh Anand
Department of Computer Science,
University of Warwick,
Coventry CV4 7AL, UK
s.s.anand@warwick.ac.uk

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