Recent Releases of WSKNN - Weighted Session-based K-NN recommender system
WSKNN - Weighted Session-based K-NN recommender system - 1.2.2
Version 1.2.2 (2024-01-31)
- (bug)
random.sample(sessions)bug: https://github.com/nokaut/wsknn/issues/64 - (enhancement) check if sessions and items have the same datatypes in both mappings (session-items map and item-sessions map) (https://github.com/nokaut/wsknn/issues/65)
- (enhancement) batch prediction with
batch_predict()function
Scientific Software - Peer-reviewed
- Jupyter Notebook
Published by SimonMolinsky almost 2 years ago
WSKNN - Weighted Session-based K-NN recommender system - 1.2.X November update
- (docs) updated JOSS badge,
- (docs) updated docs,
- (enhancement) updated import paths,
- (feature) save and load model with
joblib
Scientific Software - Peer-reviewed
- Jupyter Notebook
Published by SimonMolinsky about 2 years ago
WSKNN - Weighted Session-based K-NN recommender system - version 1.2.0 JOSS publication
This release is linked to the JOSS publication.
Scientific Software - Peer-reviewed
- Jupyter Notebook
Published by SimonMolinsky about 2 years ago
WSKNN - Weighted Session-based K-NN recommender system - version 1.2.0
- (docs) changed README example,
- (docs) added demo-readme example to demo-notebooks section,
- (docs) demo example in documentation updated,
- (docs) link to the documentation page added to README,
- (enhancement) item-sessions map may be derived from session-items map,
- (feature) data can be read from the flat record structure,
- (feature) data can be parsed from dataframes
Scientific Software - Peer-reviewed
- Jupyter Notebook
Published by SimonMolinsky over 2 years ago
WSKNN - Weighted Session-based K-NN recommender system - 1.1.1 Release
- reads and parses CSV files
- refactored parsing functions
Scientific Software - Peer-reviewed
- Jupyter Notebook
Published by SimonMolinsky over 2 years ago
WSKNN - Weighted Session-based K-NN recommender system - 0.1.6 Release
The release sets minimal version of Python to 3.8, has updated docs, and CI tests. It is mostly a dirty job to make life of developers and maintainers easier.
Scientific Software - Peer-reviewed
- Jupyter Notebook
Published by SimonMolinsky about 3 years ago
WSKNN - Weighted Session-based K-NN recommender system - 0.1.5
Version 0.1.5
- updated session selection algorithm, added
weighted_eventsparameter that allows weighting the closest neighbors by the vector of weights, - new tutorial with a comparison of different recommendation settings,
- updated documentation.
Scientific Software - Peer-reviewed
- Jupyter Notebook
Published by SimonMolinsky over 3 years ago