JavaScript Recommendation Engine with Machine Learning and Graph Databases

Session
Until July 21:
✓ Save up to $850
✓ Amazon Echo Dot or Arduino for free
Register now
Until July 21:
✓ Save up to $850
✓ Amazon Echo Dot or Arduino for free
Register now
Until June 16:
✓ Fullstack Day for free
✓ Arduino Starter Kit or Amazon Echo Dot for free
✓ Save up to 690€
Register now
Until June 16:
✓ Full Stack Day gratis
✓ Arduino Starter Kit oder Amazon Echo Dot gratis
✓ Bis zu 690 € sparen
Register now
Thank you for attending
✓ See you in 2023
Thank you for attending
✓ See you in 2023
Infos
Thursday, September 29 2022
11:30 - 12:15

We aim to deliver the most valuable information possible to our users when developing front-end applications. However, the first iteration of the available information rarely fits the bill. This talk will look at how we implemented movie recommendations by collaborating with a team of data scientists, ML experts, and client-side engineers and the many data changes involved. This project aims to show how valuable machine learning data is when paired with graph databases. We also wanted to show the pros and cons of integrating ML data compared to using built-in database functionality. We created a movie streaming website that offers a fully functional user experience, an in-browser graph visualizer, and seamlessly switches between recommendation methods.

Our stack includes: VueJS (Vuex & Cytoscape), ArangoDB, Docker, and Nginx. This talk will focus on the frontend features such as using Cytoscape to display ArangoDB graphs and how we implemented a panel-based UI to allow for displaying information for multiple different recommendation types. Finally, we will briefly touch on the ML methods used to generate these recommendations and how they improved the experience for the users.

Take me to the full program of Zum vollständigen Programm von New York New York .

This Session belongs to the Diese Session gehört zum Programm vom New YorkNew York program. Take me to the program of . Hier geht es zum Programm von Munich München .

This Session belongs to the Diese Session gehört zum Programm vom New YorkNew York program. Take me to the program of . Hier geht es zum Programm von London London .

This Session Diese Session belongs to the gehört zum Programm von New YorkNew York program. Take me to the current program of . Hier geht es zum aktuellen Programm von New York New York , Munich München or oder London London .

STAY TUNED!

 

BEHIND THE TRACKS OF iJS

Angular

Best-Practises with Angular

Vue.js

One of the most famous frameworks of modern days

JavaScript Practices & Tools

DevOps, Testing, Performance, Toolchain & SEO

Node.js

All about Node.js

React

From Basic concepts to unidirectional data flows