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