PAN'09: Final Call for Papers, Submission Deadline July 1, 2009.

(ir) bing

SIGIR 2009 Deadline for Reduced Hotel Rates: June 18, 2009

Final CFP: 7th Workshop on Large-Scale Distributed Systems for Information Retrieval (LSDS-IR'09)

7th Workshop on Large-Scale Distributed Systems for Information Retrieval (LSDS-IR'09) collocated
with SIGIR'09 in Boston
http://lsdsir09.isti.cnr.it/ 

Summary
-------
The Web is continuously growing. Currently, there are more than 20 billions pages (some sources suggest
100 billions), compared to less than 1 billion documents in 1998. Traditionally, Web-scale search
engines employ large and highly replicated systems, operating on computer clusters in one or few data
centers. Coping with the increasing number of user requests and indexable pages requires adding more
resources. However, data centers cannot grow indefinitely. Scalability problems in information
retrieval have to be addressed in the near future, and new distributed applications are likely to drive
the way in which people use the Web. Distributed IR is the point in which these two directions converge.
This workshop will provide space for researchers to discuss these problems and to define new directions
for the work on distributed information retrieval. 

Workshop Activities and Goals
-----------------------------
The workshop aims to bring together researchers from the domains of IR and databases working on
peer-to-peer information systems and to foster closer collaboration that could have a large impact on
future research directions in the area of distributed and P2P IR.

Topics
------
Topics of interest include, but are not limited to: 
*Novel P2P IR applications/architectures
*Retrieval models for distributed and P2P IR
*Heterogeneous distributed data integration and organization
*Query routing in distributed environments
*Distributed ranking
*Distributed index structures
*Efficiency in distributed and P2P IR
*Scalability of distributed indexing and retrieval
*Multimedia retrieval for distributed and P2P IR
*Distributed indexing and retrieval of dynamic information sources
*Standards / benchmarks for P2P IR
*Grid IR
*Decentralized reputation management
*Distributed data provenance
*Tools for distributed IR

Workshop Chairs
---------------
Claudio Lucchese, National Research Council - ISTI, Italy
Gleb Skobeltsyn, Ecole Polytechnique Federale de Lausanne, Switzerland 
Wai Gen Yee, Illinois Institute of Technology, Chicago, USA

Steering Committee
------------------
Flavio Junqueira, Yahoo! Research Barcelona, Spain 
Fabrizio Silvestri, ISTI-CNR, Italy 
Ivana Podnar Zarko, University of Zagreb, Croatia

Program Committee
-----------------
Ricardo Baeza-Yates, Yahoo! Research Barcelona, Spain 
Gregory Buehrer, Microsoft Live Labs, USA
Roi Blanco, University of A Coruna, Spain 
Ophir Frieder, Illinois Institute of Technology, Chicago, USA 
Flavio Junqueira, Yahoo! Research Barcelona, Spain
Claudio Lucchese, ISTI-CNR, Italy 
Sebastian Michel, Ecole Polytechnique Federale de Lausanne, Switzerland 
Wolfgang Nejdl, University of Hannover, Germany 
Kjetil Norvag, Norwegian University of Science and Technology, Norway
Salvatore Orlando, University of Venice, Italy 
Josiane Xavier Parreira, Max-Planck-Institut Informatik, Germany 
Raffaele Perego, ISTI-CNR, Italy 
Diego Puppin, Google, USA
Fabrizio Silvestri, ISTI-CNR, Italy
Gleb Skobeltsyn, EPFL, Switzerland 
Torsten Suel, Polytechnic University, USA 
Christos Tryfonopoulos, Max-Planck-Institut Informatik, Germany
Wai Gen Yee, Illinois Institute of Technology, USA 
Ivana Podnar Zarko, University of Zagreb, Croatia 
Pavel Zezula, Masaryk University of Brno, Czech Republic 

Workshop Format
---------------
The workshop solicits scientific papers that address problems specific to IR in heterogeneous and
distributed environments. Additionally, position papers outlining interesting new research domains
and approaches are welcome. The selection of papers is based primarily on their potential to influence
future research. Papers have to present original contributions not concurrently submitted elsewhere.

Paper Submission
----------------
Papers should not exceed 8 pages, double column, including figures, tables and references in the standard
ACM Conference style (for LaTeX, use the "Option 2" style). Papers have to present original research
contributions not concurrently submitted elsewhere, and must be submitted electronically in
printable PDF format (other formats will be rejected) via the online submission system. Submitted
papers will undergo a peer review process by at least three members of the program committee.

At least one author of an accepted paper must register for the workshop. Registration must be done at the
time when the author sends the camera-ready copy of the paper.

Best papers will be considered for publication on a special issue of an international journal.

Important Dates
---------------
Paper submission:  June 15, 2009  
Notification:  June 27, 2009  
Camera-ready papers:  July 4, 2009 
Workshop date:  July 23, 2009 

CFP: ACM CIKM-2009 Workshop on Complex Networks in Information & Knowledge Management (CNIKM'09)

CNIKM'09: Call For Papers

================================

The 1st International Workshop on

Complex Networks in Information & Knowledge Management (CNIKM)
at ACM CIKM-2009

Hong Kong, November 6, 2009

http://www.dcs.bbk.ac.uk/~dell/cnikm09/

Overview

We are in a connected age: real-world entities often interconnect with
each other through explicit or implicit relationships to form a
complex network, such as information networks, social networks,
economic networks, technological networks, and biological networks.
They exhibit interesting statistical characteristics such as
small-world and scale-free. The past decade has witnessed an explosive
growth of research on various complex networks. How can we analyse,
manage and mine information in large-scale complex networks
effectively and efficiently? This gives researchers in database,
information retrieval and knowledge management great challenges as
well as opportunities. In line with CIKM's tradition of promoting
interdisciplinary research, this workshop aims to have a major impact
on future research by bringing together researchers across both
computer science and the emerging scientific discipline of network
science to foster discussion and exchange ideas.

Topics

The complex networks of interest include, but are not limited to:
- Information Networks (incl. Networks of Queries and Documents)
- Social Networks (incl. Networks of Social Media)
- Economic Networks
- Technological Networks
- Biological Networks

The research problems of interest include, but are not limited to:
- Structure and Dynamics of Complex Networks
- Formation and Generation of Complex Networks
- Community Detection in Complex Networks
- Motif Discovery in Complex Networks
- Link Prediction in Complex Networks
- Communication and Contagion on Complex Networks
- Indexing and Ranking in Complex Networks
- Decentralised Search in Complex Networks
- Clustering and Classification in Complex Networks
- Semi-Supervised Learning and Active Learning on Complex Networks
- Visualization and Summarization of Complex Networks

Both theoretical and practical research papers are welcome,
particularly those addressing computational or algorithmic issues.

Important Dates

- Paper submission due: July 1, 2009
- Notification of acceptance: August 1, 2009
- Camera-ready version due: August 15, 2009
- Workshop date: November 6, 2009

Submission

All submissions should be in ACM conference style and PDF format.
http://www.acm.org/sigs/pubs/proceed/template.html
Full papers may not exceed 8 pages; short papers may not exceed 4
pages. No extra pages can be purchased. All submissions must be
original and unpublished before. The review process will be
double-blind: authors should conceal their identity in their
submissions.

All submissions should be made through EasyChair.
http://www.easychair.org/conferences/?conf=cnikm09

All submissions will be peer-reviewed by PC members. The organisers
will examine the reviews and make final paper selections for the
workshop.

Registration

At least one author of each accepted paper must register for the
workshop. Registration must be done at the time when the author sends
the camera-ready copy of the accepted paper to the workshop chair.
Workshop registration fee is determined by CIKM.

Publication

The workshop proceedings will be printed on CD together with the main
CIKM-2009 conference proceedings by ACM.

An edited book on this topic has been proposed by the organisers in
Wiley's Web Data Mining Series. Extended versions of selected papers
are expected to be published in that book.
http://www.dcs.bbk.ac.uk/~mark/wiley_web_mining_leaflet.pdf

A blog has been created to facilitate informal discussion online
before and after the workshop.
http://cnikm09.blogspot.com/

A short workshop report will be written by the organisers for a
professional newsletter (e.g., SIGIR Forum and BCS-IRSG Informer).

Workshop Programme

It is anticipated to be a full-day workshop with two keynote addresses
(TBA) and two refereed research paper sessions. The detailed programme
will be released once it is finalised.

(Tentative) Program Committee

- Edoardo Airoldi, Harvard University, USA
- Karsten Borgwardt, MPIs Tubingen, Germany
- Guanrong Chen, City University of Hong Kong, China
- Xueqi Cheng, Chinese Academy of Sciences, China
- Aaron Clauset, Santa Fe Institute, USA
- Vittoria Colizza, ISI Foundation, Italy
- Nick Craswell, Microsoft Research, USA
- Anirban Dasgupta, Yahoo! Research, USA
- Brian Davison, Lehigh University, USA
- Arjen de Vries, CWI, Netherlands
- Tina Eliassi-Rad, Lawrence Livermore National Laboratory, USA
- Trevor Fenner, University of London, UK
- Abraham Flaxman, UW Institute for Health Metrics and Evaluation, USA
- Brian Gallagher, Lawrence Livermore National Laboratory, USA
- Lise Getoor, University of Maryland, USA
- Jake Hofman, Yahoo! Research, USA
- Hawoong Jeong, KAIST, Korea
- Irwin King, Chinese University of Hong Kong, China
- Kevin Lang, Yahoo! Research, USA
- Jan Larsen, Technical University of Denmark, Denmark
- Jure Leskovec, Stanford University, USA
- Sofus Macskassy, Fetch Technologies, USA
- Michael Mahoney, Stanford University, USA
- Stephane Marchand-Maillet, University of Geneva, Switzerland
- Mark Levene, University of London, UK
- Xiaoli Li, Institute for Infocomm Research, Singapore
- Tsuyoshi Murata, Tokyo Institute of Technology, Japan
- See-Kiong Ng, Institute for Infocomm Research, Singapore
- Wilfred Ng, Hong Kong University of Science and Technology, China
- Jian-Yun Nie, University of Montreal, Canada
- Marcel Reinders, Delft University of Technology, Netherlands
- Dawei Song, The Robert Gordon University, UK
- Hanghang Tong, Carnegie Mellon University, USA
- Bing-Hong Wang, University of Science and Technology of China, China
- Wei-Qi Yan, Queen's University Belfast, UK

Organizers

- Jun Wang, University College London, UK
- Shi Zhou, University College London, UK
- Dell Zhang, Birkbeck, University of London, UK

================================

Call for Papers: FQAS'09 Special Session on Personalization, Preferences, Context and Recommendation

CALL FOR PAPERS
---------------

FQAS'09 Special Session on Personalization, Preferences, Context and
Recommendation  

International Conference on Flexible Query Answering Systems (FQAS'09)
October 26-28, 2009, Roskilde, Denmark 
http://fqas2009.org/

* MOTIVATION AND SCOPE
----------------------

The goal of enhancing IR models and methods towards user-aware and
context-aware models has raised increasing interest in the research
community, and is being identified as a key step in order to cope with the
continuous growth of information environments (repositories, networks,
users) worldwide. 

The notion of context refers to any dynamic condition occurring at the time
when an information retrieval task takes place, and which may be relevant to
fully define and understand a user need. 

When the notion of context focuses on persistent user characteristics and
preferences, it is usually referred to as an issue of personalization. A
significant body of research in the last two decades has paid attention to
the problem of personalizing information access and delivery, commonly
addressed under such names as information filtering, collaborative
filtering, recommender systems, or personalized IR, with variations in
approach and perspective 

Based on the relevant knowledge about user interests that a system is able
to capture, different techniques can be used to personalize search results,
which come into play at different points of a retrieval system. User
preferences have been used to reformulate user queries, by expanding or
refining the information in the query, or to adapt search results, by
re-ranking or clustering the results by ranked categories.

The concept of Recommender System (RS) is a broader term that combines
typical features related to personalization and context. They were born as a
solution to the huge amount of information the users can find in the
Internet. RSs are applications that give advice to the user about items
(movies, music, etc.) that are likely of interest to the user, according to
their preferences and tastes. The system usually compares the user's profile
with some information extracted from the item (content-based recommending),
or from other users who have similar preferences (collaborative
recommendation). Finally, Hybrid RS combine both content and collaborative
methods. 

Therefore, there are three main pillars supporting this session:
Personalization, context and recommendation. Each of them is a research
field in itself garnering the attention of a wide community researchers
worldwide, as evidenced by the increasing number of events dealing with
these topics. The special session that we are proposing aims to create a 
new and dynamic forum in order to contribute to the discussion of new
proposals in these areas, linked to the scope of the FQAS conference.

* TOPICS
--------

This session is intended as a discussion forum where novel proposals around
the concepts of personalization, context and recommendation are presented.
We welcome contributions related, but are not restricted, to the following
topics: 

- Modelling and profiling of personal, social and contextual information.
- User profiling, preference elicitation and use.
- Context modelling, identification and use.
- Personalized information access.
- Content-based, collaborative, and hybrid recommender systems.
- Group recommendation.
- Evaluation methodologies and metrics.
- ...

* REVIEWING PROCESS
--------------------

Authors are invited to submit original previously unpublished research
papers written in English, of up to 12 pages, strictly following the
LNCS/LNAI format guidelines. Authors can download the Latex (recommended) or
Word templates available at Springer's web site or by means of the FQAS link. 

Submissions should be sent as pdf files by email directly to the three
organizers. Accepted papers will be published in the FQAS proceedings which
is a volume in the LNCS series; all submitted papers will be reviewed by 2–3
experts in the field. 

* IMPORTANT DATES
------------------

Distribution of the Call for Papers:  June 12, 2009??
Deadline for paper submission: July 12, 2009.
Notification of acceptance:  July 27, 2009.
Deadline for camera ready submission: August 9, 2009.
Session date: October 26-28, 2009.

* PARTICIPATION AND REGISTRATION
--------------------------------

Participants must register via the FQAS website according to the conditions
and fees given there. 

* ORGANIZERS
------------

Juan M. Fernández-Luna, University of Granada, Spain (jmfluna@...r.es).
Juan F. Huete, Universidad de Granada, Spain (jhg@...).
Pablo Castells, Universidad Autónoma de Madrid, Spain (pablo.castells <at> uam.es).

(CfP) CALL for BOOK CHAPTER Proposals: Approaches to Teaching and Learning Information Retrieval

(CfP) CALL For BOOK CHAPTER Proposals

TITLE: Approaches to Teaching and Learning Information Retrieval

Editors: 

Efthimis N. Efthimiadis 
The Information School, University of Washington, Seattle, WA, USA  
efthimis <at> u.washington.edu

Juan Manuel Fernández Luna, Departamento de Ciencias de la Computación e
Inteligencia Artificial, Universidad de Granada, Spain 
jmfluna@... 

Juan Huete
Departamento de Ciencias de la Computación e Inteligencia Artificial,
Universidad de Granada, Spain
jhg@... 

Andrew MacFarlane
Dept. Of Information Science,  City University, London, UK
andym@...

Proposal Submission Deadline: 		September 15, 2009
Author Notification: 			October 15, 2009
Full Chapters Due: 			March 1, 2010

Direct questions to: tlir <at> u.washington.edu
The CfP is also posted at: http://faculty.washington.edu/efthimis/tlir.html 

INTRODUCTION

Web search is part of our daily lives, and this has made understanding of
the Information Retrieval (IR) principles paramount to many professions that
were not previously concerned with search and its associated activities. 
System builders, information scientists, human computer interactions
specialists, librarians, educators in K-12, scientists, information
architecture designers, IP lawyers, advertisers and retailers in e-Commerce,
to name a few professions are involved in building and running search systems.

Consequently, the Teaching and Learning of IR is changing in nature. It is
being practiced in many different forms, so that it satisfies the separate
needs in those fields that makeup the field search as we know it today.

OBJECTIVE OF THE BOOK

This book will aim to coordinate and integrate the current thinking of
teaching and learning IR.  It will focus on both educational and
domain-specific research and practice and how that reaches the learners.

CHAPTER SECTIONS

Planned book sections include, but are not limited to, the following:
[A] Technical Levels (non-technical to highly technical)
[B] Educational Goals:
[*] discipline specific (CS, LIS, CL, MIS)
[*] by domain or search task
[*] search (Web, DL, …)
[*] other
[C] Teaching and Learning Methods: 
[1a] classroom
[1b] e-learning (distance/online learning)
[1c] use of IR systems for teaching
[D] Assessment and Feedback
[E] Curricula

The above levels are to be examined in the broadly defined IR areas that
include and are not limited to:

Advertising and IR
Data Mining and IR
e-Commerce and IR
Evaluation (user-centered or system focused)
Log analysis / web analytics
Natural Language Processing and IR
Personalization / Recommendation
Search Engine Optimization
Structured data (XML) and IR

TARGET AUDIENCE

The target audience of this book will be composed of educators,
professionals, and researchers working in the fields of information
retrieval, information studies, information science, information management,
knowledge management, computer-supported cooperative work and human-computer
interaction.

SUBMISSION PROCEDURE

Potential contributors are invited to submit a 2-5 page chapter proposal to
the Editors by September 15, 2009. Authors will be notified by October 15,
2009 about the status of their proposals and sent chapter guidelines. Full
chapters should be at least 8,000-9,000 words in length and are due by March
1, 2010.

INQUIRIES AND SUBMISSIONS
	
Inquiries and submissions can be forwarded electronically to the editors at
tlir <at> u.washington.edu
.
The CfP is also posted at: http://faculty.washington.edu/efthimis/tlir.html 

CALL for BOOK CHAPTER Proposals: Approaches to Teaching and Learning Information Retrieval

(CfP) CALL For BOOK CHAPTER Proposals

TITLE: Approaches to Teaching and Learning Information Retrieval

Editors: 

Efthimis N. Efthimiadis 
The Information School, University of Washington, Seattle, WA, USA  
efthimis <at> u.washington.edu

Juan Manuel Fernández Luna, Departamento de Ciencias de la Computación e
Inteligencia Artificial, Universidad de Granada, Spain 
jmfluna@... 

Juan Huete
Departamento de Ciencias de la Computación e Inteligencia Artificial,
Universidad de Granada, Spain
jhg@... 

Andrew MacFarlane
Dept. Of Information Science,  City University, London, UK
andym@...

Proposal Submission Deadline: 		September 15, 2009
Author Notification: 			October 15, 2009
Full Chapters Due: 			March 1, 2010

INTRODUCTION

Web search is part of our daily lives, and this has made understanding of
the Information Retrieval (IR) principles paramount to many professions that
were not previously concerned with search and its associated activities. 
System builders, information scientists, human computer interactions
specialists, librarians, educators in K-12, scientists, information
architecture designers, IP lawyers, advertisers and retailers in e-Commerce,
to name a few professions are involved in building and running search systems.

Consequently, the Teaching and Learning of IR is changing in nature. It is
being practiced in many different forms, so that it satisfies the separate
needs in those fields that makeup the field search as we know it today.

OBJECTIVE OF THE BOOK

This book will aim to coordinate and integrate the current thinking of
teaching and learning IR.  It will focus on both educational and
domain-specific research and practice and how that reaches the learners.

CHAPTER SECTIONS

Planned book sections include, but are not limited to, the following:
[A] Technical Levels (non-technical to highly technical)
[B] Educational Goals:
[*] discipline specific (CS, LIS, CL, MIS)
[*] by domain or search task
[*] search (Web, DL, …)
[*] other
[C] Teaching and Learning Methods: 
[1a] classroom
[1b] e-learning (distance/online learning)
[1c] use of IR systems for teaching
[D] Assessment and Feedback
[E] Curricula

The above levels are to be examined in the broadly defined IR areas that
include and are not limited to:

Advertising and IR
Data Mining and IR
e-Commerce and IR
Evaluation (user-centered or system focused)
Log analysis / web analytics
Natural Language Processing and IR
Personalization / Recommendation
Search Engine Optimization
Structured data (XML) and IR

TARGET AUDIENCE

The target audience of this book will be composed of educators,
professionals, and researchers working in the fields of information
retrieval, information studies, information science, information management,
knowledge management, computer-supported cooperative work and human-computer
interaction.

SUBMISSION PROCEDURE

Potential contributors are invited to submit a 2-5 page chapter proposal to
the Editors by September 15, 2009. Authors will be notified by October 15,
2009 about the status of their proposals and sent chapter guidelines. Full
chapters should be at least 8,000-9,000 words in length and are due by March
1, 2010.

INQUIRIES AND SUBMISSIONS
	
Inquiries and submissions can be forwarded electronically to the editors
listed above.

FW: [OWNERS-ANNOUNCE] SOCIAL BOOKMARKING link

I haven't tried using this yet, but we will twest

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