RecNexa
RecNexa is a production-oriented collection of recommendation algorithms, designed to curate and integrate practical implementations in a consistent, maintainable way.
The project focuses on algorithm packages from the third-party community, especially valuable implementations that are no longer maintained. Where needed, it adapts and maintains them for use in modern production environments.
Included Algorithms
- rankfm: A factorization machine implementation optimized for ranking. See the rankfm documentation.
- LightSANs: A sequential next-item recommendation model. See the LightSANs documentation.
Roadmap
RecNexa will continue to collect more proven recommendation algorithms, gradually covering additional recommendation scenarios and modeling paradigms.
Installation, configuration, usage examples, and API references for each algorithm are maintained separately in the docs directory. This README only introduces the project and its included algorithms.
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Metadata
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Release files for recnexa 0.2.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| recnexa-0.2.0.tar.gz | 420.4 kB | With provenance | Details for recnexa-0.2.0.tar.gz |
Built distributions (wheels)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| recnexa-0.2.0-cp311-abi3-win_amd64.whl | CPython 3.11 | abi3 | Windows x86-64 | Details for recnexa-0.2.0-cp311-abi3-win_amd64.whl |
| recnexa-0.2.0-cp311-abi3-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl | CPython 3.11 | abi3 | Linux glibc 2.28+ x86-64, Linux glibc 2.17+ x86-64 | Details for recnexa-0.2.0-cp311-abi3-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl |
| recnexa-0.2.0-cp311-abi3-macosx_10_9_universal2.whl | CPython 3.11 | abi3 | macOS 10.9+ universal2 (ARM64, x86-64) | Details for recnexa-0.2.0-cp311-abi3-macosx_10_9_universal2.whl |
Total release size: 1.9 MB
Release files / recnexa-0.2.0.tar.gz
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