New
Recommenders 1.1.0
New algorithms or improvements
- SASRec and SSEPT in Tensorflow 2.x in https://github.com/microsoft/recommenders/pull/1530 #1621 #1678
- RBM Code Cleanup, model save and other additions in #1599 #1618 #1622
- Overwrite older test file in NCF deep dive to avoid bug in https://github.com/microsoft/recommenders/pull/1674
- SAR+ improvement and bug fixes #1636 #1644 #1680 #1671
- NCF improvement and bug fixes in #1612
- Remove drop_duplicates() from SAR method fix #1464 in https://github.com/microsoft/recommenders/pull/1588
- SAR literal fix in https://github.com/microsoft/recommenders/pull/1663
New utilities or improvements
- Update lightfm_utils.py in https://github.com/microsoft/recommenders/pull/1624
- Change formats of user_ids and item_ids arg. in LigthFM in https://github.com/microsoft/recommenders/pull/1651
- Fix randomness issue in spark_stratified_split() in https://github.com/microsoft/recommenders/pull/1654
- Clarification for jaccard and lift similarity measures in https://github.com/microsoft/recommenders/pull/1668
- Use numpy divide in explained variance in https://github.com/microsoft/recommenders/pull/1691