Skip to content

2023-2 Machine Learning TermProject : Perfume recommendation system

Notifications You must be signed in to change notification settings

jimin0/MachineLearningTermProject

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

22 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Perfume recommendation system


[Project Objective]

The sense of smell is closely linked with memory, more so than any of the other senses. We think scents are not just about scents, they are about telling you your personality, or the impression you want to leave people. Many people search for perfumes that suit them and get recommendations from nearby acquaintances and experts. We want to express our scent, so we want to be helpful by creating a system that recommends perfume to people looking for it.


[Dataset]

noon_perfumes_dataset.csv ✔️

noon_perfumes_buyer_dataset.csv ✔️


[library version]

sagemaker model enviroment

TruncatedSVD
KNeighborsClassifier

fastapi server environment

fastapi==0.68.0 
uvicorn==0.15.0
sagemaker==2.62.0
tensorflow==2.6.2
protobuf==3.18.1
protobuf3-to-dict==0.1.5
pandas==1.3.3
pylint<3
asgiref==3.6.0

Streamlit Virtual environment

streamlit==1.28.2
urllib3==1.26.6
matplotlib==3.7.3
pandas==2.0.3

[Architecture]

스크린샷 2023-12-05 오후 4 10 37

[Reference]

Dataset: https://www.kaggle.com/datasets/monirahabdulaziz/noon-perfume
code: https://github.com/wejdani/Perfume-Recommender

About

2023-2 Machine Learning TermProject : Perfume recommendation system

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Jupyter Notebook 84.1%
  • Python 15.9%