Tutorials

See tutorials here: https://github.com/MobileTeleSystems/RecTools/tree/main/examples/tutorials

• Recommender baselines extended tutorial
• Prepare data
• Matrix Factorization
  • Implicit ALS
    • Model description
    • Recommendations
    • RecTools implementation
    • Model application
    • Links
  • Bayesian Personalized Ranking Matrix Factorization (BPR MF)
    • Model description
    • Recommendations
    • RecTools implementation
    • Model application
    • Links
  • LightFM
    • Model description
    • Recommendations
    • RecTools implementation
    • Model application
    • Links
  • PureSVD
    • Model description
    • RecTools implementation
    • Recommendations
    • Model application
    • Links
• Nearest Neighbours
  • ItemKNN
    • Model description
    • Recommendations
    • RecTools implementation
    • Model application
    • Links
• Linear Autoencoders
  • EASE
    • Model description
    • Recommendations
    • Model application
    • Links
• RecSys Transformer Models Tutorial
  • Why transformers from RecTools?
  • Table of Contents
  • Prepare data
• SASRec & BERT4Rec
  • RecTools implementation
    • Reference implementations
    • Additional details
  • Application of Models
    • Basic usage
    • Adding item features. Selecting item net components
    • Selecting losses
    • Customizing model
    • Cross-validation
    • Item-to-item recommendations
    • Inference tricks (model known items and inference for cold users)
  • Detailed SASRec and BERT4Rec description
    • Dataset processing
    • Transformer layers
      • SASRec
      • BERT4Rec
  • Losses
    • Losses with negative sampling
      • BCE loss
      • gBCE loss
  • Links
    • SASRec
    • BERT4Rec
• Transformer Models Advanced Training Guide
  • Table of Contents
    • Prepare data
    • Advanced Training
  • Validation fold
  • Validation loss
  • Callback for Early Stopping
  • Callback for Checkpoints
  • Callbacks for RecSys metrics during training
    • Advanced training full example
    • More RecTools features for transformers
  • Saving and loading models
  • Configs for transformer models
  • Multi-gpu training
• Transformer Models Customization Guide
  • Table of Contents
    • Prepare data
    • “Next Action” training objective from Pinnerformer
  • Custom data preparator and lightning module
  • Create NextActionTransformer
  • Enable unidirectional attention
    • ALBERT
  • Custom item net constructor and transformer layers
  • Pass ALBERT modules to BERT4RecModel
  • Pass ALBERT modules to SASRecModel
    • How about NextActionTransformer with ALBERT modules and causal attention?
    • Cross-validation
    • Configs support for custom models
    • Full list of customization options