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z-scoREC Implementation #485

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Hi,

We introduced two novel collaborative filtering techniques for recommendation systems in cases of various cold-start situations and incomplete datasets.

  • Hakan Yilmazer, Selma Ayşe Özel, ImposeSVD: Incrementing PureSVD For Top-N Recommendations for Cold-Start Problems and Sparse Datasets, The Computer Journal, 2022;, bxac106, https://doi.org/10.1093/comjnl/bxac106.

The first model z-scoREC establishes an asymmetric weight matrix between items without using item meta-data and eradicates the disadvantages of neighborhood approaches by automatic determination of threshold values.

The implementation of z-scoREC model is implemented in this PR.

Related Issues

Checklist:

  • I have added tests.
  • I have updated the documentation accordingly.
  • I have updated README.md (if you are adding a new model).
  • I have updated examples/README.md (if you are adding a new example).

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