LensKit
latest

Overview

  • Install LensKit
  • Getting Started
  • Examples
  • Release Notes

Running Experiments

  • Loading Data
  • Splitting Data
  • Batch-Running Recommenders
  • Evaluating Recommender Output
  • Documenting Experiments

Algorithms

  • Algorithm Interfaces
  • Algorithm Summary
  • Basic and Utility Algorithms
  • Ranking Methods
  • Bias
  • k-NN Collaborative Filtering
  • Classic Matrix Factorization
  • Add-On Algorithms

Tips and Tricks

  • Performance Tips
  • Errors and Diagnostics
  • Algorithm Implementation Tips

Configuration and Internals

  • Utility Functions
  • LensKit Internals

Links

  • References
LensKit
  • Search

© Copyright 2018–2019 Boise State University. Revision 38877a5c.

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This material is based upon work supported by the National Science Foundation under Grant No. IIS 17-51278. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. This page has not been approved by Boise State University and does not reflect official university positions.

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