Cornac 2.0.0

What's Changed

In this major release, Cornac will support next-item and next-basket recommendation models.

🧱 Models

• Add Deep Neural Network for Temporal Sets Prediction (DNNTSP) Model (#586) @lthoang
• Add Correlation-Sensitive Next-Basket Recommendation (Beacon) Model (#584) @lthoang
• Add Recency Aware Collaborative Filtering for Next Basket Recommendation (UPCF) Model (#587) @lthoang
• Add Session-based Recommendations With Recurrent Neural Networks (GRU4Rec) model (#574) @lthoang
• Fix Session Popular model (#575) @lthoang
• Add RecVAE model (#568) @flywithu
• Add Temporal-Item-Frequency-based User-KNN (TIFUKNN) model (#566) @lthoang

🚀 Features

• Enhance serving evaluation endpoints (#595) @darrylong
• Add column model type into table models (#588) @lthoang
• Add option to evaluate every next item in next-item evaluation (#580) @lthoang
• Add next-item pipeline (#561) @hieuddo
• Make ANNs compatible with Experiment (#563) @tqtg

🐛 Bug Fixes

• [Beacon] max_seq_length is the maximum number of baskets in training sequence (#591) @lthoang

📝 Documentation

• Add missing doc for UPCF model (#589) @lthoang
• Update README.md to use stable branch on readthedocs (#571) @darrylong

✅ Other changes

• Update CircleCI config file (#583) @tqtg
• Add back Circle CI for publishing code coverage (#573) @tqtg

Full Changelog: v1.18.0...v2.0.0