Samuel James | 09.09.2019

Community Day 2019 Sponsors

Build a Powerful Recommendation Engine Using Image Recognition Technology on AWS

About Architrave Gmbh

PropTech Company of the year 2018

Over 3,900 managed assets worth €80 billion

Over €12 billion in annual transaction volume (including Germany's largest single transactions: Sony Centre 2017 and Frankfurt Omni Tower 2018)

! Berlin ! Frankfurt! Dresden

What This Talk is Not About

Recommender Systems’ Algorithms

Agenda

Recommendation system

Why recommender systems are important

How recommendation engines work

Leveraging on AWS Rekognition for product recommendation

Demo

What Is Recommendation ?

Recommendation is about providing relevant content to the user based on knowledge of the user, content, and

interactions between the user and items.

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According to McKinsey & Company, 35% of Amazon.com’s revenue is generated by its

recommendation engine

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"Netflix saves up to $1 billion a year via its personalised recommendations”

– Business Insider

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Personalised recommendations drive sales

Recommendation Phases

Data Collection Data Storage Data Analysis Data Filtering

Collaborative Filtering

Content-Based Filtering

Hybrid Filtering

Data Filtering Techniques

Collaborative Filtering

Interactions of users with products (like movies watched, products viewed, products bought etc.

Collaborative Filtering Technique in a Retail Site

Content-based Filtering

Focuses on properties of items. Similarity of items is determined by measuring the similarity in their properties.

Content-Based Filtering Technique in a Retail Site

Hybrid Filtering

Combines collaborative filtering and content-based filtering.

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Leveraging on AWS Rekognition API for analysis of unstructured data like images

AWS Rekognition at a Glance

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DEMO

Using S3 Batch Operations

Handling new Uploads

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How the visual search works

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Lessons Learned

Building with AWS reduces your development time

You don't need to be AI experts to have AI capability in your app

Build a repeatable and reusable infrastructure with AWS

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Thanks!Questions?

ContactArchitrave GmbH Bouchéstraße 12, Building 1A, 12435 Berlin

Samuel JamesSamuel James Email: james@architrave.de @samuelabiodunj