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@@ -69,6 +69,7 @@
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 <p>The R package <code>mfair</code> implements the methods based on the paper <a href="https://doi.org/10.48550/arXiv.2303.02566" class="external-link">MFAI: A scalable Bayesian matrix factorization approach to leveraging auxiliary information</a>. MFAI integrates gradient boosted trees in the probabilistic matrix factorization framework to effectively leverage auxiliary information. The parameters in MAFI can be automatically determined under the empirical Bayes framework, making it adaptive to the utilization of auxiliary information and immune to overfitting.</p>
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 <h2 id="installation">Installation<a class="anchor" aria-label="anchor" href="#installation"></a>
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 articles:
   ml100k: ml100k.html
   neocortex: neocortex.html
-last_built: 2023-09-12T06:06Z
+last_built: 2023-09-15T14:47Z
 urls:
   reference: https://yanglabhkust.github.io/mfair/reference
   article: https://yanglabhkust.github.io/mfair/articles