This is the Windows app named RecBole whose latest release can be downloaded as RecBolev1.1.1.zip. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS
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RecBole
DESCRIPTION
A unified, comprehensive and efficient recommendation library. We design general and extensible data structures to unify the formatting and usage of various recommendation datasets. We implement more than 100 commonly used recommendation algorithms and provide formatted copies of 28 recommendation datasets. We support a series of widely adopted evaluation protocols or settings for testing and comparing recommendation algorithms. RecBole is developed based on Python and PyTorch for reproducing and developing recommendation algorithms in a unified, comprehensive and efficient framework for research purpose. It can be installed from pip, conda and source, and is easy to use. We have implemented more than 100 recommender system models, covering four common recommender system categories in RecBole and eight toolkits of RecBole2.0, including General Recommendation, Sequential Recommendation, Context-aware Recommendation, and Knowledge-based Recommendation and sub-packages.
Features
- General and extensible data structure
- Comprehensive benchmark models and datasets
- Extensive and standard evaluation protocols
- RecBole is freely open to universities, teachers, students and enthusiasts
- A unified, comprehensive and efficient recommendation library
- We support a series of widely adopted evaluation protocols
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/recbole.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
