ITWP 2014 - The AAAI 2014 Workshop on Intelligent Techniques for Web Personalization and Recommendation

Web personalization tailors the web experience to a particular user or set of users. Recommender systems represent one special and prominent class of personalized web applications, which focus on user-dependent filtering and support online users in the decision-making and buying process. In the light of the growing importance of these areas and their increasing overlap, the aim of this workshop is to bring together researchers and practitioners of both fields, to foster an exchange of information and ideas, and to facilitate a discussion of current and emerging topics relevant to building personalized intelligent systems for the web.
Topics
Topics of interest include the following:
User model representation and decision support: 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 for "big data," 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.
Format
The program of the one-day workshop will be divided into "themed" technical sessions and a substantial amount of time allocated to open discussion. The workshop program will be complemented by invited talks and a panel discussion, which address emerging topics in the field.
The workshop is open to everyone interested in attending.