An out-of-the-box recommendation system based on item similarity.
Project description
similarity-based-rs
Package for obtaining content based recommendations based on similarity
Installation
pip install similarity-based-rs
Usage
TODO
Dev Installation
For development purposes, additional libraries must be installed such as pytest and mkdocs.
Prerequisites:
Steps
1. Clone the repository or import it via your IDE
2. poetry install
3. pre-commit install (Optional)
4. git branch new_dev_branch_name
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Close
Hashes for similarity_based_rs-0.1.0.tar.gz
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | a61d8961082cd02af6decb90d578f7d0f32f82c91ff034a3c955121e203a5e93 |
|
| MD5 | 5ce0dff08d9e9bbbc25f02cd42198147 |
|
| BLAKE2b-256 | 42d7e78717a25f602004c16364519b2e64f28b118f0f526d7e60516a2ab489dd |
Close
Hashes for similarity_based_rs-0.1.0-py3-none-any.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 63ac11f008d892a63a361e272ecfcd2d128d791dc7f7b85fdcdc5bf8ea5c9f15 |
|
| MD5 | 120a716ea650ab0c8e6f6c075e1d22fd |
|
| BLAKE2b-256 | 86b51be09baaf78814f57488737e5805f4df870f2ee89ec0ac01ab05a7f31074 |
