Skip to main content

No project description provided

Project description

Rsdiv: Reranking for Multi-objective Optimized Recommender Systems

Python PyPI GitHub license Read the Docs

rsdiv provides the measurements and improvements for the multi-objective/diversifying tasks.

Some of its features include:

  • various implementations of diversifying/ensemble reranking modules.
  • various implementations of core recommender algorithms.
  • evaluations for recommender systems from a quantitative/visual view.
  • easy-to-use benchmarks for comparing and further analysis.
  • automated hyperparameter optimization.

Installation

You can simply install the pre-build binaries with:

pip install rsdiv

More installation options can be found here.

Basic Usage

Prepare for a benchmark dataset

Evaluate the results in various aspects

Train and test a recommender

Reranking for diversity improvement

TODO

More diversifying algorithms

  • implement the Bounded Greedy Selection Strategy, BGS diversify algorithm

  • implement the Determinantal Point Process, DPP diversify algorithm

Hyperparameter optimization

Ensemble ranking

  • support the ensemble ranking modules

For developers

Contributions welcome! Please contact us.

During your development stage, make sure you have pre-commit installed in your local environment:

pip install pre-commit
pre-commit install

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

rsdiv-0.2.4.tar.gz (944.0 kB view hashes)

Uploaded Source

Built Distribution

rsdiv-0.2.4-py3-none-any.whl (951.5 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page