Cornac 1.13.1

Support Python 3.9 with pre-built wheels

Cornac 1.13.0

New models

• CausalRec: Causal Inference for Visual Debiasing in Visually-Aware Recommendation (#415)
• Adversarial Training Towards Robust Multimedia Recommender System (#420)

New feature

• Propensity Stratified Evaluation Method (#403) and tutorial (#408)

Improvements

• Add GitHub actions for CI testing and pypi upload
• Update model names

Cornac 1.12.0

New models

• Explainable Recommendation with Comparative Constraints on Product Aspects (ComparER) (#392)

Improvements

• Fix some broken links
• Fix linux platform check (#397)

Cornac 1.11.0

New model

• Factorization Machines (FM) (#343)

Improvements

• Update HPF initialization to use seed value (#380)
• Add example Poisson Factorization vs BPR on MovieLens data (#381)
• Add clarification when test_size and val_size > 1 (#382)
• Shorten README (#383)
• Update NARRE model (#384)
• Import filmtrust in datasets module (#388)

Cornac 1.10.0

New models

• NARRE: Neural Attentional Rating Regression with Review-level Explanations (#356)
• BiVAECF: Bilateral Variational Autoencoder for Collaborative Filtering (#375)

Improvements

• Update SKMeans to account for max_iter and seed (#377)
• Add SKMeans example (#378)
• Add function to generate gamma variates (#379)

Cornac 1.9.0

New features

• StratifiedSplit evaluation method (#367)

Cornac 1.8.0

New changes

• Update link to download the Film Trust dataset (#355)
• Add review-level for review modality (#353)
• Add Amazon Digital Music dataset including ratings and reviews (#357)
• Fix rank() function to work with arbitrary item_indices (#363)

Cornac 1.7.1

New changes

• Fix ConvMF loss info (#349)

Cornac 1.7.0

New changes

• Add Review Modality (#344)
• Conditional VAE for Collaborative Filtering (CVAECF) model (#345)
• Update init args and fix dimension mismatch in ConvMF model (#348)

Cornac 1.6.1

New improvements

• Fix bug of Z dims in SoRec (#340)
• Add a reference to topic model in CTR (#341)