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Leonardo Berdu

José Guilherme Tavaresleonardo.berdu@stored.com.br

guilherme.tavares@stored.com.br

HACKATHON

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WHY?• be creative to generate ideas • good way to learn fast and learn new technologies,

in this case: micro-services, mongoDB, graphs • team integration • develop our own recommendation system • agile manifesto • M.V.P in one weekend

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HACKATHON

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HACKATHON - 3rd DAY

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GRAPH RECOMMENDATION

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GRAPH RECOMMENDATION

• create relationships between two vertices (product, person, office, etc)

• learn machine x time • edges with higher coefficient defines the best relevance

between vertices • clustering tendency

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GRAPH RECOMMENDATION

• vertices (eg. products) • edges (relevance between vertices — eg. number of visits)

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STACK

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MONGODB

• sharding • high performance • open source • NoSQL

https://www.mongodb.org/

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MONGODB BENCHMARK

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MILO GRAPH

celery workers APP/API

mongoDB

mySQL

1

2

3

N

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MILO GRAPH

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MILO POST

POST API data validation

celery

• fast processing in API • async • mongoDB and mySQL writing

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MILO GET

GET API mongoDB response

• performance

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MILO REAL GRAPH

running in a real client

www.gsnsuplementos.com.br

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MILO RECOMENDATION

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MILO RECOMENDATION

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TEAM

Rafael Bouchabki Guilherme Tavares Michael Coelho Fernando Chimicoviaki

Leonardo Berdu Hebert Silva

back-endfront-end

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NEXT STEPS

• scale to big data • update to a big data database • graph analisys • launch as a product (monetization)

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QUESTIONS

?

THANKS!