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@blondered blondered released this 16 Jan 20:21
· 35 commits to main since this release
v0.10.0
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Learn about vigilant mode.

✨ Highlights ✨

Bayesian Personalized Ranking Matrix Factorization (BPR-MF) algorithm is now in the framework!
See model detail in our extended baselines tutorial

All updates

Added

  • ImplicitBPRWrapperModel model with algorithm description in extended baselines tutorial (#232, #239)
  • All vector models and EASEModel support for enabling ranking on GPU and selecting number of threads for CPU ranking. Added recommend_n_threads and recommend_use_gpu_ranking parameters to EASEModel, ImplicitALSWrapperModel, ImplicitBPRWrapperModel, PureSVDModel and DSSMModel. Added recommend_use_gpu_ranking to LightFMWrapperModel. GPU and CPU ranking may provide different ordering of items with identical scores in recommendation table, so this could change ordering items in recommendations since GPU ranking is now used as a default one. (#218)
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