RNN based word2vec implementation for news recommendation
Project description
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
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
dnr-0.9.3.tar.gz
(4.1 kB
view details)
Built Distribution
File details
Details for the file dnr-0.9.3.tar.gz.
File metadata
- Download URL: dnr-0.9.3.tar.gz
- Upload date:
- Size: 4.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 5ff27d7f00e920c359a31d10b614f0ebb1bf1945fc37a6589fd6b1a8a467ec55 |
|
| MD5 | 2b9ed75e5184f3a3ca450ffcb54147ef |
|
| BLAKE2b-256 | f28ef78f1d5a4a752dfbc7725a298faf2f7775fa0580a1798ab40bbad4a6e7d2 |
File details
Details for the file dnr-0.9.3-py2.py3-none-any.whl.
File metadata
- Download URL: dnr-0.9.3-py2.py3-none-any.whl
- Upload date:
- Size: 4.6 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | fbc6902fa18b91f142221ab90180c3351fce0ad9f0d11b990d85773da2f3add0 |
|
| MD5 | 5a76114e8409e34ccc93fdd8a9a4e9b5 |
|
| BLAKE2b-256 | a39e336b1ca357660c9852aac66de8b710ea2fe8b419a98856024e8479e8c9bd |
