What's Changed

🐛 Bug Fixes

• Fix issue #628 with '.A' stuff on csr_matrix (#631) @quentinhaenn
• [BUG] Add missing import statement for amazon digital music dataset (#636) @lthoang

📝 Documentation

• Add multimodality table to documentation (#639) @darrylong
• Enhance Model Display UI in ReadTheDocs (#632) @darrylong
• Add Model Table Display into Readthedocs (#624) @darrylong
• Include documentation links for model list in readme (#625) @darrylong
• [docs] Update typo in README.md (#626) @lgabs

✅ Other changes

• Fix Pytest error in test cases due to Numpy 2.0 incompatibility (#627) @darrylong

Full Changelog: v2.2.1...v2.2.2

What's Changed

🐛 Bug Fixes

• [BUG] Failed test case due to different ordering caused by identical scores (#622) @lthoang

📝 Documentation

• Fix Documentation iamaresearcher.rst Tuning Hyperparameters (#623) @darrylong
• Update TriRank documentation (#619) @lthoang

Full Changelog: v2.2.0...v2.2.1

What's Changed

🚀 Features

• Add metadata file when saving model (#607) @tqtg

🐛 Bug Fixes

• Update LightGCN to remove torch requirement for prediction (#617) @darrylong
• Fix .rank() method for multiple models (#615) @hieuddo
• Add save and load functions for BiVAECF model (#608) @tqtg
• Lightgcn fix (#606) @theisjendal

📝 Documentation

• Improve the main models table and example/tutorials in README (#610) @lgabs

✅ Other changes

• Add more build platforms in GitHub Actions (#612) @tqtg

Full Changelog: v2.1.0...v2.2.0

What's Changed

🧱 Models

• Feature/add dmrl: Add DMRL Model (#597) @mabeckers
• Hypergraphs with Attention on Reviews for Explainable Recommendation (#600) @theisjendal
• Lightgcn fix (#602) @theisjendal

📝 Documentation

• [docs] Update link in working_with_auxiliary_data.md (#598) @lgabs
• Update to announcement banner in readthedocs (#601) @darrylong

✅ Other changes

• Update docker-compose serving image (#599) @darrylong
• Update GitHub actions build docker image registry (#596) @darrylong

Full Changelog: v2.0.0...v2.1.0

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

What's Changed

Models

• Support ANN search for existing models (#549) @tqtg
• Add Annoy to the list of supported ANN frameworks (#556) @tqtg
• Add Faiss to the list of supported ANN frameworks (#555) @tqtg
• Add ScaNN to the list of supported ANN frameworks (#553) @tqtg
• Add ANN search using HNSWLib (#544) @tqtg
• Add simple model serving (#540) @tqtg
• Add NCF_PyTorch models (#536) @hieuddo

Fixes

• Fix exception check for Cython migration to 3.0 (#558) @tqtg
• PyTorch_NCF fix, normalize running loss (#537) @hieuddo

Other changes

• Rename symbols to ensure consistency (#565) @lthoang
• Add unit test for flask serving (#562) @darrylong
• Make use of verbose setting in Experiment (#564) @tqtg
• Update next-basket evaluation (#559) @lthoang
• Docker version of production serving (#551) @darrylong
• Add clean command (#554) @tqtg
• Update FM supporting message (#550) @tqtg
• Remove exception checking for _dot() (#552) @tqtg
• Add production version of API serving (#547) @darrylong
• Add next-basket recommendation evaluation method (#545) @lthoang
• Add dependency install checks for Cython (#548) @darrylong
• Add PyTorch backend for MF (#546) @hieuddo
• Revamp Documentation (#541) @darrylong
• Add recommend() function for the base class of Recommender (#538) @tqtg
• Clean compiled cpp files (#539) @tqtg

Full Changelog: v1.17.0...v1.18.0

What's Changed

New Models

• GCMC Implementation #524
• Add TriRank model #525
• Add LightGCN Model #526
• Add Learn to Rank user Preferences based on Phrase-level sentiment analysis across Multiple categories (LRPPM) model #527
• Implement NGCF #529

Enhancements

• Add transform function for Recommender #522
• Filter positive items for ranking evaluation #523
• Optimize LightGCN Model #531
• Change NGCF Batch Size Param #532

Bug Fixes

• Fix rank function of EFM and ComparERSub models #528
• Fix GCMC Invalid Key Error #533

• Add HRDR model (#518)
• Bug fixes and improvements
  • Fix rank function for ComparER_sub (#515, #520)
  • Fix save and load functions for NARRE (#517)
  • Fix typos (#516)
  • Remove unused append function in utils.fast_dict (#521)

• Specify numpy version for each Python version for wheel packaging compatibility

• Build with Ubuntu 20.04 to be more compatible with Google Colab