Int. Workshop on Web Personalization, Recommender Systems and Social Media (WPRSM 2017)

Topics of Interest | Submission Guidelines | Important Dates | Workshop Oganizers | Program CommitteeLinks

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.

Topics of Interest

Topics include but are not limited to:

  1. User behaviour modelling and personalization techniques
  2. Collaborative and content based filtering
  3. Clustering and classification in recommender systems
  4. Hybrid recommender systems
  5. Security and trust in recommender systems
  6. Trust and reputation management
  7. Ontology learning and semantic web technologies
  8. Content management and modelling
  9. Product modelling, user opinion mining and data extraction
  10. Adaptive user interfaces
  11. Recommender applications for social media sites
  12. Explanation and justification in recommender systems
  13. Distributed and peer-to-peer recommender systems
  14. Modelling decision making in e-commerce systems
  15. Measuring personalization effectiveness
  16. Evaluation methods for recommender systems
  17. Ownership of social media content
  18. Security and Privacy in social media
  19. Trustworthiness and reliability on social media

Submission Guidelines

Paper submissions should be limited to 6 – 8 pages for regular papers or 4 pages for short papers in ACM 2-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. Accepted papers will be published in the conference workshop proceedings by ACM and indexed by EI.

The workshop only accepts on–line submissions. Workshops on–line submission page can be accessed through the WI 2017 Submission site.

Important Dates

  • May 1, 2017: Submission deadline of Workshop papers
  • May 29, 2017: Notification of Workshop paper acceptance
  • June 19, 2017: Camera-Ready Papers (Workshops)
  • August 23-26, 2017: Main conference
  • Workshop Oganizers

    Yue Xu, Queensland University of Technology, Australia, yue.xu [at] qut.edu [dot] au
    Gabriella Pasi, University of Milano Bicocca, Italy pasi [at] disco.unimib [dot] it
    Yuefeng Li, Queensland University of Technology, Australia, y2.li [at] qut.edu [dot] au
    Yong Zheng, Illinois Institute of Technology, USA, yzheng66 [at] iit [dot] edu

    Links

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