posted by organizer: passerini || 1573 views || tracked by 11 users: [display]



When Jul 25, 2015 - Jul 27, 2015
Where Buenos Aires - Argentina
Submission Deadline Apr 27, 2015
Notification Due May 20, 2015
Final Version Due May 30, 2015
Categories    artificial intelligence   machine learning

Call For Papers



Joint Workshop on Constraints and Preferences for Configuration and Recommendation (CPCR) /
Intelligent Techniques for Web Personalization (ITWP)

Held in conjunction with IJCAI 2015, 25-27 July 2015, Buenos Aires, Argentina

Submission Deadline: April 27, 2015

Finding the information or product that matches your needs and preferences on the Web can be challenging. Modern search engines can help in many situations, but they are based on one-shot query interactions and limited with respect to their personalization capabilities. Recommender Systems (RS) have proved to be helpful tools for various information seeking and filtering tasks and are nowadays ubiquitous on the Web. The most prominent classes of such systems are based on the detection of preference patterns in larger user communities (collaborative filtering) or on the automatic construction of content-based preference profiles for individual users (content-based filtering).

For some application domains in e-commerce, relying on such pattern or model learning approaches alone can be insufficient because explicit and detailed short term interest or preference profiles are required to determine the most suitable product. This is for example the case when (a) the products themselves are configurable and can be tailored to the specific needs of a user or (b) the selection of the right product is based on user-specified explicit constraints, e.g., when purchasing a digital camera or smartphone. Going beyond collaborative and content-based techniques, such knowledge-based approaches therefore often require more complex user interfaces which support interactive preference elicitation or explanations as well as explicitly encoded domain knowledge.

The aim of the workshop is to bring together researchers and practitioners that are working on topics related to the use of Artificial Intelligence techniques in the areas of recommendation systems, electronic commerce, personalized web tools, and interactive configurator systems. We are specifically interested in contributions which aim to combine explicit preference and constraint models with machine learning techniques.

We invite original contributions in a variety of areas related to Recommendation, Configuration and Web Personalization:

* Preference Elicitation and User Modeling: Interactive Elicitation, Explicit and Implicit Feedback, Social/Semantic Web Mining for Personalization, Preference Learning, Collaborative and Content-based Filtering

* User Interaction: Conversational Approaches, Explanations, Constraint Relaxation, Context-Aware Approaches, Personalized Information Filtering

* Knowledge Representation and Reasoning: Constraint Programming, Preference Handling, Machine Learning, Satisfiability Testing, Logic-based Approaches, Developing, Testing and Debugging of Knowledge Bases

* Evaluation Methodology, Metrics, and Case Studies; Implementation Architectures

* Recommender Systems
* Product Configuration and Mass Customization
* Constraint Reasoning
* Preference Handling and Preference Learning
* Web Personalization

Papers must be formatted according to the IJCAI 2015 style guide ( and submitted electronically as PDF through EasyChair at this URL:

We solicit the following types of papers as well as research demos
* Long Papers (usually 6 pages + references, extra pages are possible) present original research work.
* Short Papers (4 pages) report on work in progress or describe demo systems.
* Research Highlights (1 page): Research highlights summarize relevant manuscripts which have recently been accepted for publication or appeared within the last 6 months in a peer-reviewed journal or which are currently under review.
* Position Papers (1 page): Discuss open challenges or present early-stage research ideas.

The workshop proceedings will be archived as citable proceedings with a permanent URL, e.g., using CEUR-WS.

* 27 April: Paper submission deadline
* 20 May: Author notification
* 30 May: Camera-ready versions due
* 25/26 or 27 July: Workshop held

Dietmar Jannach, Department of Computer Science, TU Dortmund, Germany

Jerome Mengin, IRIT, University of Toulouse, France

Bamshad Mobasher, School of Computer Science, DePaul University, Chicago, USA

Andrea Passerini, University of Trento, Italy

Paolo Viappiani, CNRS and University Pierre and Marie Curie, France

Related Resources

IJCAI 2017   International Joint Conference on Artificial Intelligence
IJCAI 2016   Twenty-Fifth International Joint Conference on Artificial Intelligence
IROS 2017   IEEE/RSJ International Conference on Intelligent Robots and Systems
ICML 2017   34th International Conference on Machine Learning
PAKDD 2017   The 21st Pacific-Asia Conference on Knowledge Discovery and Data Mining
ISMIS 2017   23rd International Symposium on Methodologies for Intelligent Systems
IUI 2017   Intelligent User Interfaces
IJCNN 2017   International Joint Conference on Neural Networks
UMAP 2016   24th Conference on User Modeling, Adaptation and Personalization
SeCoP 2016   The 3rd International Workshop on Semantic Computing and Personalization (SeCoP 2016)