maciejkula/sbr-rs
Deep recommender systems for Rust
This project helps Rust developers build personalized recommendation systems. Given a sequence of past user interactions, such as viewed movies or purchased products, it can predict which items a user will likely interact with next. It's for Rust programmers who need to embed recommendation features directly into their applications.
128 stars and 36 monthly downloads. No commits in the last 6 months.
Use this if you are a Rust developer looking to add efficient, sequence-based recommendation capabilities directly into your application or service.
Not ideal if you are not a Rust developer or if you need a pre-built, off-the-shelf recommendation service rather than a library to integrate.
Stars
128
Forks
9
Language
Rust
License
MIT
Category
Last pushed
May 23, 2019
Monthly downloads
36
Commits (30d)
0
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