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Seda Polat Erdeniz
Institute for Software Technology
1
Seda Polat Erdeniz
PhD Student / Project Assistant
Institute for Software Technology (IST)
Graz University of Technology, Austria
Seda Polat Erdeniz
Institute for Software Technology
2
Agenda
• Introduction
• Recommendation Technologies
• AGILE Project
• Recommendation Scenarios in AGILE
• Conclusions & Future Work
Seda Polat Erdeniz
Institute for Software Technology
3
Introduction
Seda Polat Erdeniz
Institute for Software Technology
4
Introduction
The major goal of this paper is to provide an
overview of recommendation approaches and
to discuss their relevance for the AGILE Project.
Seda Polat Erdeniz
Institute for Software Technology
5
Recommendation
Technologies
Seda Polat Erdeniz
Institute for Software Technology
6
Recommendation Technologies
Content-
Based
Show me more of the same
what I have liked!
Collaborative
Filtering
Tell me
what is popular
among my peers!
Knowledge -
based
Tell me
what fits based on
my needs
Utility - based Show me the best
items based on my most
Important utilities
Seda Polat Erdeniz
Institute for Software Technology
7
AGILE Project
Seda Polat Erdeniz
Institute for Software Technology
8
AGILE Project
• Supported by
Horizon2020
(2016-2018)
• 16 partners
among Europe
• Open calls for
SMEs who will
use AGILE
gateway in their
own IoT project
http://agile-iot.eu/
Seda Polat Erdeniz
Institute for Software Technology
9
Pilots of AGILE
5 Pilot Projects
1- Quantified Self
2- Open Field and Cattle
Monitoring
3- Pollution Monitoring
4- Enhanced Retail Services
5- Port Area Monitoring
http://agile-iot.eu/
Seda Polat Erdeniz
Institute for Software Technology
10
Recommendation
Scenarios
in AGILE
Seda Polat Erdeniz
Institute for Software Technology
11
Scenario-1: App Recommendation
Recommendation of
gateway apps to the
users based on their
gateway profiles;
- plugged-in devices
- installed apps
- installed
- workflows/nodes
and
- other similar
gateways profiles
Seda Polat Erdeniz
Institute for Software Technology
12
Content-Based App Recommendation
Seda Polat Erdeniz
Institute for Software Technology
13
Scenario-2: Workflow / Node Recommendation
Recommendation of
workflows/nodes to the
users based on their
gateway profiles;
- plugged-in devices
- installed apps
- installed
- workflows/nodes
and
- other similar
gateways profiles
Seda Polat Erdeniz
Institute for Software Technology
14
Collaborative Filtering
for Workflow/Node Recommendation
Seda Polat Erdeniz
Institute for Software Technology
15
Scenario-3: Device Recommendation
Recommendation of
devices to the users
based on their gateway
profiles;
- plugged-in devices
- installed apps
- installed
- workflows/nodes
and
- other similar
gateways profiles
Seda Polat Erdeniz
Institute for Software Technology
16
Scenario-4: Cloud Services Recommendation
Recommendation of
cloud services to the
users based on their
gateway profiles;
- plugged-in devices
- installed apps
- installed
- workflows/nodes
and
- other similar
gateways profiles
Seda Polat Erdeniz
Institute for Software Technology
17
Conlusions &
Future Work
Seda Polat Erdeniz
Institute for Software Technology
18
Conclusion
We showed how to apply recommendation
technologies to increase the flexibility of IoT
infrastructures in the context of application
development and deployment
Seda Polat Erdeniz
Institute for Software Technology
19
Future Work
- Optimize the recommender engine to be able to run
totally on the gateway and also offline.
• Current Recommender Services works in 2 sides:
• on the gateway locally as a gateway service
• on the server side as a backend for the gateway
service
Seda Polat Erdeniz
Institute for Software Technology
20
Thanks for your attention!
Any questions?

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Recommendation Technologies for IoT Edge Devices

  • 1. Seda Polat Erdeniz Institute for Software Technology 1 Seda Polat Erdeniz PhD Student / Project Assistant Institute for Software Technology (IST) Graz University of Technology, Austria
  • 2. Seda Polat Erdeniz Institute for Software Technology 2 Agenda • Introduction • Recommendation Technologies • AGILE Project • Recommendation Scenarios in AGILE • Conclusions & Future Work
  • 3. Seda Polat Erdeniz Institute for Software Technology 3 Introduction
  • 4. Seda Polat Erdeniz Institute for Software Technology 4 Introduction The major goal of this paper is to provide an overview of recommendation approaches and to discuss their relevance for the AGILE Project.
  • 5. Seda Polat Erdeniz Institute for Software Technology 5 Recommendation Technologies
  • 6. Seda Polat Erdeniz Institute for Software Technology 6 Recommendation Technologies Content- Based Show me more of the same what I have liked! Collaborative Filtering Tell me what is popular among my peers! Knowledge - based Tell me what fits based on my needs Utility - based Show me the best items based on my most Important utilities
  • 7. Seda Polat Erdeniz Institute for Software Technology 7 AGILE Project
  • 8. Seda Polat Erdeniz Institute for Software Technology 8 AGILE Project • Supported by Horizon2020 (2016-2018) • 16 partners among Europe • Open calls for SMEs who will use AGILE gateway in their own IoT project http://agile-iot.eu/
  • 9. Seda Polat Erdeniz Institute for Software Technology 9 Pilots of AGILE 5 Pilot Projects 1- Quantified Self 2- Open Field and Cattle Monitoring 3- Pollution Monitoring 4- Enhanced Retail Services 5- Port Area Monitoring http://agile-iot.eu/
  • 10. Seda Polat Erdeniz Institute for Software Technology 10 Recommendation Scenarios in AGILE
  • 11. Seda Polat Erdeniz Institute for Software Technology 11 Scenario-1: App Recommendation Recommendation of gateway apps to the users based on their gateway profiles; - plugged-in devices - installed apps - installed - workflows/nodes and - other similar gateways profiles
  • 12. Seda Polat Erdeniz Institute for Software Technology 12 Content-Based App Recommendation
  • 13. Seda Polat Erdeniz Institute for Software Technology 13 Scenario-2: Workflow / Node Recommendation Recommendation of workflows/nodes to the users based on their gateway profiles; - plugged-in devices - installed apps - installed - workflows/nodes and - other similar gateways profiles
  • 14. Seda Polat Erdeniz Institute for Software Technology 14 Collaborative Filtering for Workflow/Node Recommendation
  • 15. Seda Polat Erdeniz Institute for Software Technology 15 Scenario-3: Device Recommendation Recommendation of devices to the users based on their gateway profiles; - plugged-in devices - installed apps - installed - workflows/nodes and - other similar gateways profiles
  • 16. Seda Polat Erdeniz Institute for Software Technology 16 Scenario-4: Cloud Services Recommendation Recommendation of cloud services to the users based on their gateway profiles; - plugged-in devices - installed apps - installed - workflows/nodes and - other similar gateways profiles
  • 17. Seda Polat Erdeniz Institute for Software Technology 17 Conlusions & Future Work
  • 18. Seda Polat Erdeniz Institute for Software Technology 18 Conclusion We showed how to apply recommendation technologies to increase the flexibility of IoT infrastructures in the context of application development and deployment
  • 19. Seda Polat Erdeniz Institute for Software Technology 19 Future Work - Optimize the recommender engine to be able to run totally on the gateway and also offline. • Current Recommender Services works in 2 sides: • on the gateway locally as a gateway service • on the server side as a backend for the gateway service
  • 20. Seda Polat Erdeniz Institute for Software Technology 20 Thanks for your attention! Any questions?

Editor's Notes

  1. Is an AGILE project for adaptive IoT gateways which provides HW and SW solutions. 16 european partners (companies and Universities)