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hassaku

Hassaku is a(nother) research-oriented Recommender System Framework written mostly in Python and leveraging PyTorch. Hassaku hosts the main procedure for data processing, training, testing, hyperparameter optimization, metrics computation, and logging for several Collaborative Filtering-based Recommender Systems.

hcai-mms.github.io

Website for HCAI MMS

interactive-collaborative-filtering-

This is a repository i will use to understand how Multi-Armed bandits can be used in the Recommender System domain

karapostk.github.io

A beautiful, simple, clean, and responsive Jekyll theme for academics

lemons

Listenable Explanations for Music recOmmeNder Systems

modprotodebias

This repository hosts the code and the settings for the paper "Modular Debiasing of Latent User Representations in Prototype-based Recommender Systems" by Alessandro B. Melchiorre, Shahed Masoudian, Deepak Kumar, and Markus Schedl at ECML-PKDD'24.

pers_bias

protomf

This repository hosts the code and the additional materials for the paper "ProtoMF: Prototype-based Matrix Factorization for Effective and Explainable Recommendations" by Alessandro B. Melchiorre, Navid Rekabsaz, Christian Ganhör, and Markus Schedl at RecSys'22.