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Sun, 1 Apr 2012 16:06:23 +0000
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10th Workshop on Intelligent Techniques for Web Personalization & Recommendation (ITWP 2012)
In conjunction with AAAI 2012
July 22, 2012 - Toronto, Canada
Submission Deadline:  April 15, 2012 
Web Personalization and recommendation systems have been steadily gaining ground as essential components of today's Web based applications, including in e-commerce and customer relationship management, in the delivery of business services, in providing support for Web search and navigation, and in reducing cognitive overload in information rich interactive social Web applications. The proliferation of Web 2.0 applications has allowed users to go beyond simple consumers of information and instead actively participate in shaping collaborative environments in which users, resources, and user-provided content are all networked together. This, in turn has increased the need for more intelligent and personalized services that help users interact with and navigate these complex information spaces. These include a new generation of recommender systems that integrate multiple online channels, are more scalable, are more adaptive, can better handle user interactivity, and are more adept at user preference elicitation. To achieve this, such applications must rely on intelligent techniques from AI, machine learning, Web mining, statistics, and user modelling in order to leverage all available data, including the usage and click-stream data (reflecting user behaviour), the content and meta-data associated with resources, semantic domain knowledge, user profile information, and underlying network structures. Efficient and intelligent techniques are needed to mine this data for actionable knowledge, and to effectively use the discovered knowledge to enhance the users' experience.

The aim of this workshop is to bring together researchers and practitioners From Web Mining, Web Personalization, Recommender Systems, and User Modeling communities in order to foster an exchange of information and ideas and to facilitate a discussion of current and emerging topics related to the development of intelligent Web personalization and Recommender Systems.
We invite original contributions in a variety of areas related to Web personalization and Recommender Systems:

* User model representation and preference elicitation: Knowledge acquisition strategies, user context modeling, cross-domain models, privacy, cognitive models for Web navigation, self-adaptation, utility function elicitation from user interaction, user modeling on the Social Web;

* Architectures, systems and enabling technologies: personalized search, scalability of personalization and recommendation techniques, intelligent browsing and navigation, adaptive hypertext systems, hybrid and conversational recommendation systems, context-awareness, Data/web mining for personalization, Link Analysis and Graph Mining, automated techniques for ontology generation, learning, and acquisition; machine leaning techniques for information extraction, Social Web, and the Semantic Web; 

* User and algorithm centric evaluation methodologies, metrics, and case studies


Papers must be formatted according to the AAAI 2012 style guide ( and submitted electronically as PDF to [log in to unmask] We solicit long and short papers as well as research demos. Long papers (8 pages) present original research work; short papers (4 pages) report on work in progress or describe demo systems.

The workshop proceedings will be published as citable AAAI technical report. 

* 15 April:   Paper submission deadline
* 6 May:      Author notification
* 16 May:     Camera-ready versions due
* 22/23 July: Workshop held
Dietmar Jannach, Department of Computer Science, Technische Universitat Dortmund, Germany
E-mail: [log in to unmask]

Sarabjot Singh Anand, Department of Computer Science, University of Warwick, UK
E-mail: [log in to unmask] 

Bamshad Mobasher, School of Computer Science, DePaul University, Chicago, USA
E-mail: [log in to unmask] 
Alfred Kobsa, University of California, Irvine, USA 
E-mail: [log in to unmask]

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