Composite recommenders based on SparseMatrixRecommender and LatentSemanticAnalyzer.
Project description
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.
Project details
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
Built Distribution
Close
Hashes for CompositeRecommenders-0.0.1.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | ada4a42849d9666cefabccd2b88b33bef99ba2b1bb46872de7a0fc97c7b0842a |
|
MD5 | 3b66106e10b39a14b3080eba6bf7f439 |
|
BLAKE2b-256 | 7e7eb18ee0a635978db055ca64794d3de9c912278329405749b87c89cab81d17 |
Close
Hashes for CompositeRecommenders-0.0.1-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 5ac9acc2abad2004c4a24830c540531c73aa0733ff838ef49178b4796f8cf56b |
|
MD5 | 35e4050346080c717ddba1d607e6539c |
|
BLAKE2b-256 | afb0ba0a507c9ac95a0c10448ba4bf286dfc4ca3392c6b99bb4bbfd091e2ff57 |