giacoballoccu/explanation-quality-recsys
Post Processing Explanations Paths in Path Reasoning Recommender Systems with Knowledge Graphs
This tool helps improve the quality of explanations generated by existing recommendation systems. If you already have a system that provides recommendations along with 'explanation paths' (like 'user liked movie X because it stars actor Y who also starred in Z, which user liked'), this tool takes those explanations as input. It then re-ranks them to make them more recent, popular, and diverse. The output is a refined set of explanations that are more helpful and fair for your users, ideal for product managers or data scientists working with recommendation engines.
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Use this if you have a recommendation system that produces explanations and you want to enhance their quality, relevance, and fairness for your end-users without rebuilding your core recommender.
Not ideal if you are looking for a tool to build a recommendation system from scratch or if your current system does not generate path-based explanations.
Stars
35
Forks
11
Language
Python
License
GPL-2.0
Last pushed
Nov 13, 2023
Commits (30d)
0
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