KDD 2018 Workshop on

Knowledge Discovery and User Modelling for Smart Cities

August 20, 2018 - London, United Kingdom

Topics of interest

The workshop aims to facilitate the exchange of ideas between the different research communities and practitioners involved in the research on lifelong user modelling and personalization in the context of smart cities. Topics of interest include but are not limited to:

  • Mining Personal, Linked and Social Data.
    • Techniques for collection, aggregation and analysis of Personal, Linked and Social Data.
    • Semantics Representation of the mined data.
    • Big data, scalability issues and technologies for massive social data extraction.
    • Lifelogging techniques, sensor networks, wearable devices for collecting user information such as behaviour or biometric data.
    • Tracking implicit feedback (e.g. social activities) to infer user interests.
    • Digital preservation and maintenance of lifelogging data.
    • User, group and family modelling in eGovernment and Smart Cities.
    • Mining of user behaviour, opinion mining, and sentiment analysis in eGovernment and Smart Citizens.
    • Gamification and/or Crowdsourcing for mining citizens’ profiles and opinions
  • Ethics, Privacy, perceived security and trust for lifelong User Models.
    • Standards, specifications for lifelong User Models.
    • User awareness and control over their own data.
    • User preferences for managing long-term personal data.
    • Interoperability, semantics for reusing and sharing user data.
    • Ethical issues, need for transparency, privacy management of Personal and Social data.
    • Lifelong learning and support.
  • Applications of Lifelogging and User Modelling
    • Quantified Self and eHealth domain.
    • Recommender Systems based on lifelogging and social data, physiological data, emotions or behaviour.
    • Adaptation and Personalization in eGovernment domain.
    • Intelligent and Personalized Smart Cities-related.
    • Online Monitoring based on Social Data.
    • Lifelogging applications in computational social sciences.
    • Evaluation of lifelogging technologies.
    • Approaches for the personalization of inclusive, personal and interactive services to citizens.
    • Citizen-centred service design and modelling