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

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

  1. Handle growing urbanization