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============================================================================================= WPRSM'17: The International Workshop on Web Personalization, Recommender Systems and Social Media Conjunction with the 2017 IEEE/WIC/ACM International Conferences on Web Intelligence, Leipzig, Germany August 23, 2017. Workshop website: http://www.webpres-workshop.com/ ============================================================================================= Important Dates: Electronic submission of full papers: 1 May 2017 Notification of paper acceptance: 28 May 2017 Workshop: 23 August 2017 Conference: 24 - 26 August 2017 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 •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 •Ownership of social media content •Security and Privacy in social media •Trustworthiness and reliability on social media Paper Submission: Paper submissions should be limited to a maximum of 4 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 WI2017 site or http://webintelligence2017.com/participants/submissions/#submission. 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 WI2017 Submission Site: https://wi-lab.com/cyberchair/2017/wi17/index.php Organizers: Yue Xu, Queensland University of Technology, Australia Gabriella Pasi, University of Milano Bicocca, Milano, Italy Yuefeng Li, Queensland University of Technology, Australia Yong Zheng, Illinois Institute of Technology, Chicago, USA
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