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Monday, 15 April 2013

ACIS presentation - From Micro to Macro - Analyzing Activity in the ROLE Sandbox

Posted on 06:02 by Unknown
My colleague Dominik Renzel from the  ACIS group at RWTH Aachen University presented our paper "From Micro to Macro - Analyzing Activity in the ROLE Sandbox" at the ACM LAK 2013 conference in Leuven, Belgium.

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Posted in 2013, ACIS, ACM, learning analytics, presentation, ROLE, RWTH Aachen University, slideshare | No comments

ACM International Conference on Recommender Systems (RecSys2013)

Posted on 01:45 by Unknown

CALL FOR PAPERS, WORKSHOP PROPOSALS, TUTORIAL PROPOSALS and DEMOS

ACM International Conference on Recommender Systems (RecSys) 2013
Oct 12-16, 2013, Hong Kong, China
http://recsys.acm.org/recsys13/


We are pleased to invite you to participate in the premier annual event on research and applications of recommendation technologies, the Seventh ACM Conference on Recommender Systems (RecSys 2013). The conference will be held on October 12-16, 2013, Hong Kong, China. Previous conferences have been distinguished by a strong level of interaction between researchers and practitioners in the sharing of ideas, problems and solutions, and the 2013 conference will continue in this tradition. The fully-refereed proceedings will be published by the ACM and, like past RecSys proceedings, are expected to be widely read and cited.

All submissions and reviews will be handled electronically in PDF format. RecSys 2013 submissions should be prepared according to the standard ACM SIG proceedings format. For your convenience, we provide paper templates in Microsoft Word and LaTeX on the conference website.

There are two paper submission categories:

Long paper submissions should report on substantial contributions of lasting value. The maximum length is 8 pages in the standard ACM SIG proceedings format. Each accepted long paper will be presented in a plenary session as part of the main conference program. We expect the review process to be highly selective: in 2012, the acceptance rate for full papers was 20%.

Short paper submissions typically discuss exciting new work that is not yet mature enough for a long paper. The maximum length is 4 pages in the standard ACM SIG proceedings format. Each accepted short paper will be presented in a poster session. The presentation may include a system demonstration.

Note: Please note that rejected long paper submissions will not be automatically considered as short papers.

We construe recommender systems broadly, including applications ranging from e-commerce to social networking, platforms from web to mobile and beyond, and a wide variety of technologies ranging from collaborative filtering to case-based reasoning. Topics of interest for RecSys 2013 include (but are not limited to):

- Algorithm scalability
- Case studies of real-world implementations
- Computational advertising
- Conversational recommender systems
- Context-aware and multidimensional models
- Evaluation metrics and studies
- Explanations and evidence
- Group recommenders
- Impact studies
- Innovative/New applications
- Machine learning for recommendation
- Novel paradigms
- Personalization
- Preference elicitation
- Recommendation algorithms
- Social recommenders
- User interfaces
- Security, privacy, trust, and reputation
- Semantic web technologies for recommendation
- Theoretical foundations
- User modelling
- User studies

RecSys 2013 is pleased to invite demos, proposals for workshops and tutorials to be held in conjunction with the conference.

The RecSys demo session provides an exciting way for researchers and developers to present new recommender ideas, show off their work, and get valuable feedback from the recommender systems community.

The goal of the workshops is to provide additional venues for presenting research on topics of interest and an informal forum to discuss research questions and challenges.

The goal of the tutorials is to provide the larger conference community an opportunity to learn about recommender system concepts and techniques and serve as a venue to share presenters’ expertise with the global community of recommender system researchers and practitioners.

We actively encourage both researchers and industry practitioners to submit demos and proposals. We actively encourage both researchers and industry practitioners to submit demos and proposals. The details for demos, workshops and tutorials are available at http://recsys.acm.org/recsys13/recsys-2013-call-for-contributions/.

===================================================
Important Dates
===================================================

Long/Short Papers:
- Paper Abstract Submission: May 6, 2013
- Paper Submission: May 13, 2013
- Paper Acceptance Notification: July 8, 2013
- Camera-Ready papers due: July 22, 2013

Workshop Proposals:
- Workshop proposals due: April 15, 2013
- Workshop Decisions announced: May 6, 2013

Tutorial Proposals:
- Tutorial proposals due: May 20, 2013
- Tutorial Acceptance Notification: June 24, 2013
- Camera-ready tutorial papers due: July 29, 2013

Demos:
- Demo Submission: May 27th, 2013
- Demo Acceptance Notifications: June 24th, 2013
- Camera-ready demos due: July 29, 2013

- Conference Dates: Oct 12-16, 2013

===================================================
Questions?
===================================================

More information at: http://recsys.acm.org/2013
LinkedIn group: Recsys 2013
Twitter: @ACMRecSys

Program Co-chairs (program2013@recsys.acm.org):
Pearl Pu, EPFL Lausanne
George Karypis, University of Minnesota

General Co-chairs (recsys2013@acm.org):
Qyang Yang, Huawei Noah Ark Research Lab & Hong Kong University of Science and Technology
Irwin King, Chinese University of Hong Kong
Qing Li, City University of Hong Kong

Local Chairs (lichen@comp.hkbu.edu.hk):
Li Chen, Hong Kong Baptist University, China
Ted Chi Yin Chow, City University of Hong Kong, China

Publicity Chairs (mi_zhang@fudan.edu.cn):
Mi Zhang, Fudan University, China
Simon Dooms, Ghent University, Belgium



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Posted in 2013, ACM, call for papers, context-aware computing, machine learning, personalization, recommender systems, stcsn, user modeling | No comments

Sunday, 14 April 2013

Postdoc position at Data-Intensive Systems Group, Aarhus University, Denmark

Posted on 06:07 by Unknown
A postdoc position is available in the Data-Intensive Systems group at Aarhus University.

The Data-Intensive Systems group (http://cs.au.dk/research/areas/data-intensive-systems/) is a new and expanding research group in the Department of Computer Science. Since it was founded, in August 2010, the group has established a portfolio of research activities that currently includes 6 externally funded projects.

The department employs some 150 members of staff and has about 1000 students. The department is strong in both theoretical and experimental research, and it it is recognized internationally for its contribution within theory as well as the practice of computing. To encourage a multi-disciplinary attitude to research, no firm dividing lines are drawn between the various subjects, and there is lively interaction among subjects.

Aarhus University has in excess of 40,000 students. Among over 17,000 universities world-wide, it is ranked in the top 100 by several influential rankings. Aarhus is the second-largest city in Denmark and is situated by the sea in East Jutland. Aarhus is a "young" city due to its disproportionally large population of young inhabitants.

The postdoc position is at the level of research assistant professor. Successful applicants must demonstrate an ability to publish their work in top-ranked database or data mining research outlets. Key topics of interest include multidimensional databases, efficient data mining algorithms, (skyline) query processing and indexing.

The responsibilities include research on the above topics in collaboration with other staff and project partners, along with modest teaching and service tasks.

The position is initially for one year, but may be extended to two years based on mutual agreement. The annual salary is approximately EUR 60,000 (inclusive of pension contributions and pre taxes).

Applicants should send a letter of interest, a CV including list of publications, copies of two relevant publications, the names of two references, and the preferred starting date to Associate Professor Ira Assent (at ira@cs.au.dk). Applications will be considered as they are received and until the position is filled.
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Posted in data management, data mining, job opening, postdoc | No comments

Friday, 12 April 2013

Theme Section on Foundations of Social Computing -- ACM Transactions on Internet Technology (TOIT)

Posted on 05:27 by Unknown

ACM Transactions on Internet Technology (TOIT) 
http://toit.acm.org/

Call for Papers for a Theme Section on 
Foundations of Social Computing

Social computing broadly refers to computing-supported approaches that facilitate interactions among people and organizations.  Social computing has emerged as an exciting multidisciplinary area of research, driven by the wealth of easily available information and the success of online social networks and social media.  What is still lacking though is a deeper conceptual understanding of information in social computing, especially its pragmatic aspects, such as social meaning, ownership, flow, and use.

We invite high-quality submissions for a special theme section on the principles and concepts underlying information in social computing. We especially welcome novel computational treatments of social interaction and social relationships. Subthemes and topics include:

Applications
* Social provenance
* Sociotechnical systems, including applications such as healthcare and smart cities
* Participatory decision-making in communities
* Business processes
* Services
* Software engineering

Paradigms
* Contracts
* Argumentation
* Collaboration and teamwork
* Social networks
* Crowdsourcing
* Collective intelligence

Models
* Social expectations and norms
* Social relationships
* Culture
* Regulations
* Protocols

Realization
* Social middleware
* Distributed knowledge bases
* Social software
* Social sensing
* Cloud computing

Challenges
* Identity
* Trust
* Compliance and accountability
* Privacy
* Security
* Governance

-------------------------------------------------------------------------------------------------------------------------------------
Important Dates
-------------------------------------------------------------------------------------------------------------------------------------
Submissions: 31 October 2013
First decisions: 15 January 2014
Revisions: 28 February 2014
Final decisions: 30 April 2014
Final: 31 May 2014
Publication date: 31 October 2014

-------------------------------------------------------------------------------------------------------------------------------------
Submission
-------------------------------------------------------------------------------------------------------------------------------------
To submit a paper, please follow the instructions on the TOIT submission instructions page:
http://toit.acm.org/submission.html

-------------------------------------------------------------------------------------------------------------------------------------
Theme Editors
-------------------------------------------------------------------------------------------------------------------------------------
Amit K. Chopra
Lancaster University

a.chopra1@lancaster.ac.uk
http://www.lancs.ac.uk/staff/chopraak/

Raian Ali
Bournemouth University

rali@bournemouth.ac.uk
http://dec.bournemouth.ac.uk/staff/rali

Maja Vukovic
IBM T. J. Watson Research Center

maja@us.ibm.com
http://researcher.watson.ibm.com/researcher/view.php?person=us-maja

-------------------------------------------------------------------------------------------------------------------------------------
ACM TOIT Editor-in-Chief
-------------------------------------------------------------------------------------------------------------------------------------
Munindar P. Singh
Department of Computer Science, North Carolina State University

mpsingh@acm.org
http://www.csc.ncsu.edu/faculty/mpsingh/
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Posted in 2013, ACM, call for papers, collective intelligence, crowdsourcing, journal, social computing, social software, special issue, toit | No comments

Thursday, 11 April 2013

4 full-time positions for Doctoral or Postdoctoral Researchers in Algorithmics and Network Science University of Konstanz, Germany

Posted on 03:35 by Unknown
From http://www.uni-konstanz.de/stellenangebote/?cont=stellausw&seite=2013/067&id=1

The Algorithmics Group (Prof. Dr. Ulrik Brandes) in the Department of Computer and Information Science and the ERC Synergy Grant Project "NEXUS 1492" coordinated in the Faculty of Archaeology at the University of Leiden (Prof. dr. Corinne Hofman) invite applications for

 ----------------------------------------------------------------
 4 full-time positions for Doctoral or Postdoctoral Researchers
 in Algorithmics and Network Science (salary scale 13 TV-L)
 ----------------------------------------------------------------

from September 1, 2013, for up to four years. In principle, each position can be divided into two half-time positions.

"NEXUS 1492. New World Encounters in a Globalizing World" is a large-scale interdisciplinary project focusing on the impact of colonial encounters in the Caribbean. See www.nexus1492.eu for more information.

Requirements:
-------------

Applicants must hold a university degree (at least 4-years), preferably in computer science, statistics, or mathematics. A background in network modeling, graph algorithms, machine learning, or similar is desirable but others will be considered as well. A strong background in relevant methods is valued more than previous experience in network science.

Successful applicants will be based in Konstanz and conduct top-level international research on network reconstruction from sparse and heterogeneous data using probabilistic network models, combinatorial network analysis, and geo-referenced network visualization. They will work in an international and interdisciplinary team and will be given the opportunity to work toward a PhD.

The University of Konstanz encourages disabled persons to apply. They will be given preference if appropriately qualified (contact +49(0)7531/88–4895).

The University of Konstanz is an equal opportunity employer and tries to increase the number of women in research and teaching.

The University of Konstanz has been certified as a family-friendly institution by the Hertie Foundation and is committed to further the compatibility of work and family life.

The University of Konstanz offers a "Dual Career Couples Program". Information can be obtained from: www.uni-konstanz.de/dcc .

Please apply by sending your curriculum vitae, degree certificates, transcript of records, and a letter of motivation in a single pdf document to ulrik.brandes@uni-konstanz.de, citing reference number 2013/067. Applications received by May 2, 2013, will receive full consideration but the call remains open until all positions are filled.

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Posted in doctoral research, graph mining, job opening, machine learning, postdoc, social network analysis | No comments

Wednesday, 10 April 2013

ACIS presentation - A Dynamic Topic Model of Learning Analytics Research

Posted on 02:30 by Unknown
Michael Derntl from the ACIS group at RWTH Aachen University gave a presentation at the ACM LAK 2013 Data Challenge Track. The proceedings are published online by SunSITE CEUR. The D-VITA tool is also online.


A Dynamic Topic Model of Learning Analytics Research from Michael Derntl
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Posted in 2013, ACIS, ceur, challenge, learning analytics, open access, presentation, RWTH Aachen University, slideshare, technology enhanced learning, topic mining | No comments

Thursday, 4 April 2013

ACIS presentation - Cloud Services for Improved User Experience in Sharing Mobile Videos

Posted on 09:52 by Unknown
Dejan Kovachev from the ACIS group at RWTH Aachen University has presented our paper " Cloud Services for Improved User Experience in Sharing Mobile Videos" at the IEEE Mobile Cloud 2013 in San Francisco, CA.


Cloud Services for Improved User Experience in Sharing Mobile Videos from Dejan Kovachev
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Posted in ACIS, cloud computing, mobile cloud computing, mobile media, presentation, RWTH Aachen University, slideshare, video | No comments
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