This is a repository of public data sources for Recommender Systems (RS).
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Updated
Sep 5, 2024 - Python
This is a repository of public data sources for Recommender Systems (RS).
This is a library built upon RecBole for cross-domain recommendation algorithms
Jupyter тетрадка с решением Kaggle соревнования Alfa Campus
PyTorch implementation of our paper "Review-aware Graph Convolution Network for explainable recommendation"
A collection of social datasets for RecBole-GNN.
[WWW '23] The official implmentation of our paper "Fine-tuning Partition-aware Item Similarities for Efficient and Scalable Recommendation"
MSc thesis code: a controlled study of session-context gating in sequential recommendation (CAFREC, KuaiRand-Pure)
Two-stage e-commerce recommender system (ALS retrieval + SASRec re-ranking) with Optuna tuning, evaluated on RetailRocket and Amazon Video Games datasets
A simplified and improved version based on the original RecSysDatasets/conversion_tools
Tecniche di early stopping sostenibili per modelli di raccomandazione, mirate a ridurre le emissioni di CO2 durante l’addestramento senza compromettere in maniera significativa le performance. Basato su RecBole e CodeCarbon.
HoK-Draft: Honor of Kings (KPL) draft dataset for pick/ban recommendation, RecBole format (CC BY-SA 4.0)
The system tracks the emissions of a given recommendation algorithm on a given dataset.
Draft datasets for pick/ban recommendation in MOBA games (DOTA-Draft, LoL-Draft, HoK-Draft, ...) as submodules
A verified SASRec reproduction and a semantic-ID generative recommender on one backbone, one eval harness, one set of frozen negatives. Full-catalog vs. sampled ranking, a measured seed-noise floor, and every README table CI-asserted against the run that produced it.
Multi-objective recommendation pipeline balancing item relevance with environmental impact for sustainable recommendations.
LoL-Draft: RecBole-format dataset of professional League of Legends drafts (picks/bans in order, sides, patches), updated monthly from Leaguepedia. CC BY-SA 4.0.
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