RNN based word2vec implementation for news recommendation
Use Recommendation module to make your own content based news recommendation using the fact that reader can news next news provided that they had read certain news
More information at: https://github.com/keshavsbhandari/dnr
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Release files for dnr 0.9.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| dnr-0.9.3.tar.gz | 4.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dnr-0.9.3-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 8.7 kB
Release files / dnr-0.9.3.tar.gz
| Download URL | dnr-0.9.3.tar.gz |
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| Size | 4.1 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / dnr-0.9.3-py2.py3-none-any.whl
| Download URL | dnr-0.9.3-py2.py3-none-any.whl |
|---|---|
| Size | 4.6 kB |
| Tags | Python 2 Python 3 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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