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This repository an implementation of ranking-based semantics for weighted bipolar SETAFs.

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WBSETAF

This git repository contains the following files:

  • A set of handcrafted WBSETAFs instances
  • A runnable JAR that computes ranking-based semantics from the literature.
  • The corresponding sourcecode (src folder)

Sandbox

The sandbox shows different hotel recommendations with respect to profiles, algorithm presets and the database used for training.

The recommender algorithm used in this sandbox is a simple hybrid recommender system (see https://pypi.org/project/hybrid-recommender/).

Data used

Requirements

This sandbox is installed using the Django Python Web framework (https://www.djangoproject.com). It is advised to use Python with a version above or equal to 3.6.

TODO: Add all the requirements

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This repository an implementation of ranking-based semantics for weighted bipolar SETAFs.

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