Composite recommenders
Based on "SparseMatrixRecommender" and "LatentSemanticAnalyzer"
Introduction
This package has functions and classes for the creation and utilization of composite recommenders.
Usage examples
LSAEndowedSMR: "LSAEndowedSMR-recommend-by-profile-and-text.py"
References
[AAp1] Anton Antonov, SparseMatrixRecommender Python package, (2021), PyPI.org/antononcube.
[AAp2] Anton Antonov, LatentSemanticAnalyzer Python package, (2021), PyPI.org/antononcube.
1 maintainer
Release files for CompositeRecommenders 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| CompositeRecommenders-0.0.1.tar.gz | 17.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| CompositeRecommenders-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 35.3 kB
Release files / CompositeRecommenders-0.0.1.tar.gz
| Download URL | CompositeRecommenders-0.0.1.tar.gz |
|---|---|
| Size | 17.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.10.5
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Release files / CompositeRecommenders-0.0.1-py3-none-any.whl
| Download URL | CompositeRecommenders-0.0.1-py3-none-any.whl |
|---|---|
| Size | 17.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.10.5
|
