Seda Polat Erdeniz presents an overview of recommendation approaches and how they could be applied in the AGILE Project. The document discusses content-based, collaborative filtering, and knowledge-based recommendation technologies. It also outlines four recommendation scenarios for the AGILE Project involving recommending apps, workflows/nodes, devices, and cloud services based on a user's gateway profile and similar other gateway profiles. The goal is to increase flexibility for IoT infrastructures and application development using recommendation technologies. Future work includes optimizing the recommender engine to operate locally on gateways and offline.

1. Seda Polat Erdeniz
Institute for Software Technology
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Seda Polat Erdeniz
PhD Student / Project Assistant
Institute for Software Technology (IST)
Graz University of Technology, Austria

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Institute for Software Technology
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Agenda
• Introduction
• Recommendation Technologies
• AGILE Project
• Recommendation Scenarios in AGILE
• Conclusions & Future Work

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Institute for Software Technology
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Introduction

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Institute for Software Technology
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Introduction
The major goal of this paper is to provide an
overview of recommendation approaches and
to discuss their relevance for the AGILE Project.

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Institute for Software Technology
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Recommendation
Technologies

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Institute for Software Technology
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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

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Institute for Software Technology
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AGILE Project

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Institute for Software Technology
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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/

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Institute for Software Technology
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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/

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Institute for Software Technology
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Recommendation
Scenarios
in AGILE

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Institute for Software Technology
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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

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Institute for Software Technology
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Content-Based App Recommendation

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Institute for Software Technology
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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

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Institute for Software Technology
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Collaborative Filtering
for Workflow/Node Recommendation

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Institute for Software Technology
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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

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Institute for Software Technology
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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

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Institute for Software Technology
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Conlusions &
Future Work

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Institute for Software Technology
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Conclusion
We showed how to apply recommendation
technologies to increase the flexibility of IoT
infrastructures in the context of application
development and deployment

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Institute for Software Technology
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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

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Institute for Software Technology
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Thanks for your attention!
Any questions?