ITWP 2011 - 9th Workshop on Intelligent Techniques for Web Personalization & Recommender Systems

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Category ITWP 2011

Deadline: April 10, 2011 | Date: July 16, 2011

Venue/Country: Barcelona, Spain

Updated: 2011-02-11 10:08:47 (GMT+9)

Call For Papers - CFP

& Recommender Systems

In conjunction with IJCAI 2011

July 16, 2011 - Barcelona, Spain

http://ls13-www.cs.uni-dortmund.de/homepage/itwp2011/index.shtml

Submission Deadline: April 10, 2011

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.

PAPER SUBMISSION AND PARTICIPATION

We invite original contributions in a variety of areas related to Web

personalization and Recommender Systems, including Data Modeling and

Integration; User Modeling and Preference Elicitation; Systems and

Architectures; Enabling Technologies; and Evaluation Methodologies,

Metrics, and Case Studies.

For a detailed list of topics, please see the workshop Web site:

http://ls13-www.cs.uni-dortmund.de/homepage/itwp2011/index.shtml

itwp2011ls13.cs.uni-dortmund.de

The format for submissions is the same as that of IJCAI 2011.

Please check the IJCAI 2011 website for the style files.

(http://ijcai-11.iiia.csic.es/calls/call_for_papers)

Papers should be no longer than 8 pages inclusive of all references

and figures. All papers must be submitted in PDF. All papers must be

original, and must not have not been published or submitted elsewhere.

At least one author for each accepted paper is expected to attend the

workshop. In addition to the standard long paper submission, we also

invite short position or demo papers that may be no longer than 4

pages.

Citable CEUR-WS (http://ceur-ws.org/) working notes will be produced

containing the papers presented at the workshop. Selected papers from

the workshop may be considered for expansion and inclusion in a

special issue of a journal.

IMPORTANT DATES

* 10 Apr: Paper submission deadline

* 22 May: Author notification

* 05 Jun: Camera-ready versions due

* 16 Jul: Workshop held

WORKSHOP ORGANIZERS

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

E-mail: mobashercs.depaul.edu

Dietmar Jannach, Department of Computer Science Technische Universitat

Dortmund, Germany

E-mail: dietmar.jannachudo.edu

Sarabjot Singh Anand, Department of Computer Science, University of Warwick, UK

E-mail: S.S.Anandwarwick.ac.uk

Alfred Kobsa, University of California, Irvine, USA

E-mail: kobsauci.edu