posted by user: grupocole || 1271 views || tracked by 8 users: [display]

WPRSM 2014 : The Third International Workshop on Web Personalization, Recommender Systems and Social Media, joint with WI/IAT2014

FacebookTwitterLinkedInGoogle

Link: http://www.webpres-workshop.com/
 
When Aug 11, 2014 - Aug 14, 2014
Where Warsaw, Poland
Submission Deadline Apr 6, 2014
Notification Due May 11, 2014
Final Version Due May 18, 2014
Categories    information retrieval
 

Call For Papers


Call for Papers

------------------

WPRSM'14: The Third International Workshop on Web Personalization, Recommender Systems and Social Media, joint with WI/IAT2014

Warsaw, Poland, August. 2014



Workshop website: http://www.webpres-workshop.com/




Important Dates:

------------------

Electronic submission of full papers (extended): 6 April 2014

Notification of paper acceptance: 11 May 2014

Camera ready deadline: 18 May 2014

Workshop: 11 August 2014

Conference: 11 - 14 August 2014



With the explosive growth of resources available through the Internet, information overload has become a serious issue. Especially the emergence of social media has created highly interactive platforms for users to create, share, exchange information and build social networks. Web users are commonly overwhelmed by huge volume of information and are faced with the challenge of finding the most relevant information. Recommender systems represent tools for efficient selection of the most relevant information resources, and the interest in such systems has increased dramatically over the last few years. However, web personalization has not yet been well-exploited; difficulties arise while selecting resources through recommender systems from technology perspective and social perspective; also solutions are needed for effective interaction & collaboration between users and maintain trustworthiness and reliability of information on social media. The aim of this workshop is to promote high quality research in technical and human aspects related to Web personalization, social media and resource selection through recommender systems. The workshop will provide a forum for academic and industrial researchers to exchange ideas about past, present and future trends in Web personalization, social media and resource selection, and for discussing new and innovative approaches.



We solicit contributions that advance the technology in related areas.



The topics include, but are not limited to:

-------------------------------------------

User behaviour modelling and personalization techniques

Collaborative and content based filtering

Clustering and classification in recommender systems

Hybrid recommender systems

Security and trust in recommender systems

Trust and reputation management

Ontology learning and semantic web technologies

Content management and modelling

Product modelling, user opinion mining and data extraction

Adaptive user interfaces

Ownership of social media content

Trustworthiness and reliability on social media

Recommender applications for social media sites

Explanation and justification in recommender systems

Distributed and peer-to-peer recommender systems

Modelling decision making in e-commerce systems

Measuring personalization effectiveness

Evaluation methods for recommender systems

Incorporation of domain knowledge and business processes





Paper Submission:

-----------------

Paper submissions should be limited to a maximum of 8 pages (IEEE-CS format, extra payment is only available for one more extra page). The papers must be in English and should be formatted according to the IEEE column format. The style files for paper submission can be obtained from the WI-IAT 2014 site or http://www.ieee.org/conferences_events/conferences/publishing/templates.html.



All submitted papers will be reviewed by at least 2 program committee members on the basis of technical quality, relevance, significance, and clarity. The accepted papers will be included in the Workshop Proceedings published by the IEEE Computer Society Press. The workshop only accepts online submissions. Workshops online submission page can be accessed through the WI-IAT 2014 Submission Site: http://wic2014.mimuw.edu.pl/wi/submit-regular-paper-wi-2014.





Organizers:

------------

Associate Professor Yue Xu

Queensland University of Technology, Australia

Email: yue.xu@qut.edu.au



Associate Professor Gabriella Pasi

University of Milano Bicocca

Milano, Italy

Email: pasi@disco.unimib.it



Professor Yuefeng Li

Queensland University of Technology, Australia

Email: y2.li@qut.edu.au



************************************************
This SIGIR-IRList message and the SIG-IRList Digest (a moderated IR newsletter), are brought to you by SIGIR, distributed from the University of Sheffield and edited by Claudia Hauff (irlist-editor@acm.org).o To submit an article, e-mailIRList@lists.shef.ac.uko To subscribe, send mail to sympa@lists.shef.ac.uk , with the subject: SUBSCRIBE irlist firstname lastnameo To unsubscribe, send mail to sympa@lists.shef.ac.uk, with the subject: UNSUBSCRIBE irlist YourEmailAddressHere[The email address is required only if you want to unsubscribe with an address other than the address with which you send the message] o For more info, visit: http://www.sigir.org/sigirlist/These files are not to be sold or used for commercial purposes.THE OPINIONS EXPRESSED WITHIN THIS DOCUMENT DO NOT REPRESENT THOSE OF THE EDITOR, THE DELFT UNIVERSITY OF TECHNOLOGY OR THE UNIVERSITY OF SHEFFIELD.AUTHORS ASSUME FULL RESPONSIBILITY FOR THEIR
MATERIAL.







WPRSM2014CFP - deadline extension.txt

Call for Papers

WPRSM'14: The Third International Workshop on Web Personalization, Recommender Systems and Social Media, joint with WI/IAT2014
Warsaw, Poland, August. 2014

Workshop website: http://www.webpres-workshop.com/

Important Dates:

Electronic submission of full papers (extended): 6 April 2014
Notification of paper acceptance: 11 May 2014
Camera ready deadline: 18 May 2014
Workshop: 11 August 2014
Conference: 11 - 14 August 2014

With the explosive growth of resources available through the Internet, information overload has become a serious issue. Especially the emergence of social media has created highly interactive platforms for users to create, share, exchange information and build social networks. Web users are commonly overwhelmed by huge volume of information and are faced with the challenge of finding the most relevant information. Recommender systems represent tools for efficient selection of the most relevant information resources, and the interest in such systems has increased dramatically over the last few years. However, web personalization has not yet been well-exploited; difficulties arise while selecting resources through recommender systems from technology perspective and social perspective; also solutions are needed for effective interaction & collaboration between users and maintain trustworthiness and reliability of information on social media. The aim of this workshop is to promote high quality research in technical and human aspects related to Web personalization, social media and resource selection through recommender systems. The workshop will provide a forum for academic and industrial researchers to exchange ideas about past, present and future trends in Web personalization, social media and resource selection, and for discussing new and innovative approaches.

We solicit contributions that advance the technology in related areas.

The topics include, but are not limited to:

User behaviour modelling and personalization techniques
Collaborative and content based filtering
Clustering and classification in recommender systems
Hybrid recommender systems
Security and trust in recommender systems
Trust and reputation management
Ontology learning and semantic web technologies
Content management and modelling
Product modelling, user opinion mining and data extraction
Adaptive user interfaces
Ownership of social media content
Trustworthiness and reliability on social media
Recommender applications for social media sites
Explanation and justification in recommender systems
Distributed and peer-to-peer recommender systems
Modelling decision making in e-commerce systems
Measuring personalization effectiveness
Evaluation methods for recommender systems
Incorporation of domain knowledge and business processes


Paper Submission:

Paper submissions should be limited to a maximum of 8 pages (IEEE-CS format, extra payment is only available for one more extra page). The papers must be in English and should be formatted according to the IEEE column format. The style files for paper submission can be obtained from the WI-IAT 2014 site or http://www.ieee.org/conferences_events/conferences/publishing/templates.html.

All submitted papers will be reviewed by at least 2 program committee members on the basis of technical quality, relevance, significance, and clarity. The accepted papers will be included in the Workshop Proceedings published by the IEEE Computer Society Press. The workshop only accepts online submissions. Workshops online submission page can be accessed through the WI-IAT 2014 Submission Site: http://wic2014.mimuw.edu.pl/wi/submit-regular-paper-wi-2014.


Organizers:
Associate Professor Yue Xu
Queensland University of Technology, Australia
Email: yue.xu@qut.edu.au

Associate Professor Gabriella Pasi
University of Milano Bicocca
Milano, Italy
Email: pasi@disco.unimib.it

Professor Yuefeng Li
Queensland University of Technology, Australia
Email: y2.li@qut.edu.au



Related Resources

Social Information Systems @ HICSS-51   Social Information Systems Minitrack - Hawaii International Conference on System Sciences (HICSS-51)
ECIR 2018   European Conference on Information Retrieval
IRJ-SI 2018   Information Retrieval Journal - Special Issue on “Social Media for Personalization and Search”
TheWebConf 2018   The Web Conference (The International World Wide Web Conference - WWW2018)
WPRSM 2017   The International Workshop on Web Personalization, Recommender Systems and Social Media
ICISDM--Ei and Scopus 2018   2018 2nd International Conference on Information System and Data Mining (ICISDM 2018)--IEEE Xplore, Ei and Scopus
IRLeD 2017   Information Retrieval from Legal Documents
CIP in RS&OSN 2018   Computational Intelligence Paradigms in Recommender Systems and Online Social Networks
RecSys 2017   RecSys 2017 : 11th ACM Conference on Recommender Systems
EVIA 2017   Eighth International Workshop on Evaluating Information Access