easy-recommender 0.1.0

A simple recommendation system using implicit library

Easy Recommender

A simple and efficient recommendation system library using implicit collaborative filtering and LightFM.

Features

• Simple API for building recommendation systems
• Support for both implicit and explicit feedback
• Built on top of proven libraries (implicit, LightFM)
• Easy data preprocessing utilities

Installation

pip install easy-recommender

Quick Start

from easy_recommender import recommend, process_df, build_feature_data
import pandas as pd

# Load your data
df = pd.read_csv('your_ratings.csv')

# Process the data
processed_df = process_df(df)

# Build features
user_features, item_features = build_feature_data(df)

# Get recommendations
recommendations = recommend(
    processed_df, 
    user_features, 
    item_features, 
    user_id=123, 
    num_recommendations=10
)

print(recommendations)

Requirements

• Python >=3.12
• pandas >=2.0.0
• scikit-learn >=1.3.0
• numpy >=1.24.0
• implicit >=0.7.0
• lightfm >=1.17

License

MIT License

References

This implementation is based on the approach described in: https://zenn.dev/genda_jp/articles/2c2a1b5d185741