ELLIOT v0.3.1 Release Notes

[v0.3.1] - 2021-07-05

Changed

• fix AMF: insert of perturbation evaluation, insert multi-step adversarial perturbations
• fix AMR: insert of perturbation evaluation, insert multi-step adversarial perturbations, improved the data pipeline
• start experiments with command line parameters (python start_experiments.py --conf name_config_file)
• released configuration files for DEMO paper (Under review at RecSys 2021)
• readme file in /data/ directory with links to datasets

ELLIOT v0.3.0 Release Notes

[v0.3.0] - 2021-06-30

Changed

• early stopping strategies
• offline recommendation files evaluation (ProxyRecommender, RecommendationFolder)
• negative sampling evaluation
• improved Microsoft Windows compatibility
• binarization of explicit dataset
• automatic loading of implicit datasets
• multiple prefiltering
• managing side information with modular loaders
• alignment of side information with training data
• improved Documentation: Model creation, Side Information loading, Early Stopping, Negative Sampling
• added nDCG as formulated in Rendle's 2020 KDD paper
• visual loader with tensorflow pipeline
• added and fixing visual recsys method:
  • DVBPR
  • VBPR
  • DeepStyle
  • ACF
  • VNPR
• added new recommender method
  • MF (Rendle's 2020 RecSys reproducibility paper)
  • EASER
  • RP3beta
  • iALS

ELLIOT v0.2.1 Release Notes

[v0.2.1] - 2020-03-27

Changed

• requirements.txt for Pillow vulnerabilities, change version to >=8.1.1
• Adversarial features for ECIR tutorial "AL4Rec"
• Hands-on example for ECIR Tutorial "AL4Rec"

ELLIOT v0.2.0 Release Notes

Added

• new dataloader ItemCategoryLoader
• Enabled FunSVD with batch_size
• Generalized feature-aware Factorization Machines
• batch_size field in recommendation snippet examples

Changed

• MultiDAE documentation
• setup issues by @deklanw
• indentation in README config by @deklanw
• separated sample main and sample devel scripts
• paper experiment coherence
• combination Full recommendation metrics + argpartition
• Dataset data mock-ups
• long names namespace model generation during hyperspace exploration
• default validation k setup