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Making Sense of the Urban Future: Recommendation Systems in Smart Cities

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Making Sense of the Urban Future: Recommendation Systems in Smart Cities

  1. 1. Making Sense of the Urban Future: Recommendation Systems in Smart Cities Position Paper ComplexRec2020 – Fourth Workshop on Recommendation in Complex Environments @ RecSys2020. 25.09.2020. Dr. Dirk Ahlers Smart Sustainable Cities Group NTNU – Norwegian University of Science and Technology https://www.ntnu.edu/employees/dirk.ahlers
  2. 2. 2 Making Sense of the Urban Future: Recommendation Systems in Smart Cities
  3. 3. 3 Making Sense of the Urban Future: Recommendation Systems in Smart Cities Guiding Question Recommender Systems Smart Cities Cities, Citizens, Data, Systems, Integration What will change from a RecSys perspective once we have a Smart City surrounding us? What are opportunities, mutual benefits, new options, viewpoints, requirements, risks, …?
  4. 4. 4 Making Sense of the Urban Future: Recommendation Systems in Smart Cities Smart City definitions • Many definitions depending on view, role, discipline, sector, domain, country, … • Combination of physical, digital, services, infrastructure • Dimensions of technology, people, institutions A Smart City is a dynamic complex socio-technical system-of- systems that integrates information and communication technology into its structure to manage and improve its planning, services, and operations towards a livable city.
  5. 5. 5 Making Sense of the Urban Future: Recommendation Systems in Smart Cities Smart City Strategies • Open ecosystem, not only driven by municipality • Sustainable and livable urban futures • Enabling urban change – Environmental, economical, societal, technical challenges – Increase sustainability, resilience, livability – Improve services, enable new services – Digital transformation, digitalization – Real-time city understanding • Scalable and transferable solutions • Combination of low- and high-tech solutions • Integrated solutions, not only ICT
  6. 6. 6 Making Sense of the Urban Future: Recommendation Systems in Smart Cities Smart City–RecSys Application Domains • Location-aware recommendations, POIs, Events • LBSN • Tourist/route recommendations • Mobility, transport, EVs • Smart Home uses • (Io)Things recommendation • Social learning/Communities/SN • Context-aware services • Smart urban environments • Sustainable behavior • City planning/decision support • Service discovery • Personal assistants • Integrative systems Data Sources • POI and event data • Mobility options • Social Networks • User interactions • Mobility traces • IoT/sensors • City maps/survey data • Photos/(CCTV) • City services • (City) Open Data • Emergent sources
  7. 7. 7 Making Sense of the Urban Future: Recommendation Systems in Smart Cities Challenges & Opportunities Smart City Recommender Handling complexity Evaluation User involvement, co-creation … Individual vs. community targets Cross- Domain integration Data integration and interoperability Scenario- based approaches Context- awareness Citizens, Users, Stakeholders Privacy … …
  8. 8. 8 Making Sense of the Urban Future: Recommendation Systems in Smart Cities Takeaways • Smart City is a challenging cross-domain scenario • Yet underspecified complex domain • New opportunities and requirements arising • Make cities more livable, sustainable, understandable! Cities, Citizens, Data, Systems, Integration
  9. 9. 9 Making Sense of the Urban Future: Recommendation Systems in Smart Cities Q&A Contact Dirk Ahlers search://Dirk Ahlers @dirkahlers dirk.ahlers@ntnu.no [https://complexrec2020.aau.dk/?page_id=40]

Editor's Notes

  • Handle growing urbanization

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