Recommendation Engine

Have you wondered how amazon recommend items to you ? or netflix recommend content for you , spotify and youtube Here i will summarize things as much as possible .

Recommendation engine a branch of information retrieval and artificial intelligence , are powerful tools and techniques to analyze huge volumes of data , especially product information and user information , and then provide relevant suggestions based on data-mining approaches .

you can find more here : https://medium.com/@mohamedfawzy_44931/recommendation-engine-explained-c5b8642cc0f

Requirements

Native

• R Language 3.5.x.
• Python 3.4.
• Recommenderlab library for R language.
• Spark 2.

Docker

• Docker installed on your host machine

Datasets:

• Jester5k e.g of user ratings distribution in R language:
• MovieLens 100K users rating
  • Ratings distribution count
  • Movies ratings distribution
• Anonymous Microsoft Web Dataset

Algorithms :

• Collaborative Filtering

  • Item Based

    • Params Tune:

  • User Based

  • Item-based/User-based for tuning K-NearestNeighbors parameter.

Install :

• cd docker

• docker compose up

• You should see something like this

• Confirm everything is working correctly by running the following command docker ps

• Then you can enter container with the following command docker exec -it docker_python-microservice_1 /bin/bash

• Your source code under the following path /var/www/html