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A unified framework to evaluate path reasoning methods across multiple beyond accuracy dimension and path (explanation) quality perspectives

License: GNU General Public License v2.0

Python 93.62% Shell 6.38%
path-reasoning deep-reinforcement-learning explainable-ai explainable-recommendation knowledge-aware-recommendation knowledge-graph library recommendation-system recommender-system beyond-accuracy

rep-path-reasoning-recsys's Introduction

Hi there ๐Ÿ‘‹

I'm a PhD student at University of Cagliari (UniCa) and my research interest lay in Recommender Systems and end-user Explainability tecniques. I'm currently working on designing end-to-end Language Models for Explainable Recommendation. Previously I mostly worked with Knowledge-Aware Recommender Systems and Path Reasoning methods.

I'm teaching assistant of Algorithm and Data Structure in my University and I previously interned for 4 months at Amazon as Applied Scientist in the Targeting Science Ads team.

I train my models using Paperspace which gives you the chance to lease paying monthly subscription GPUs such as A100 80Gb, A6000 etc. Click here to get my referral and get 10$ of credit for free.

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rep-path-reasoning-recsys's Issues

Wrong argument definition for evaluate.py - dataset-->data

In the script "evaluate.py", the argument allowing the selection of the desired dataset is not "dataset" anymore but "data" instead.

You should change it either in the Readme, or modify it in the code along with the corresponding function arguments defined as "args.data" (e.g., line 434)

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