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,

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
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

* 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

* 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
(http://ijcai-15.org/downloads/FormattingGuidelinesIJCAI-15.zip) 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
  * 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
[log in to unmask]

Jerome Mengin, IRIT, University of Toulouse, France
[log in to unmask]

Bamshad Mobasher, School of Computer Science, DePaul University, Chicago,
[log in to unmask] 

Andrea Passerini, University of Trento, Italy
[log in to unmask] 

Paolo Viappiani, CNRS and University Pierre and Marie Curie, France
[log in to unmask] 

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