From 60f7371200b486e9220feb0f702c0a785dc696c6 Mon Sep 17 00:00:00 2001 From: statwangz <48282751+statwangz@users.noreply.github.com> Date: Fri, 15 Sep 2023 14:49:21 +0000 Subject: [PATCH] =?UTF-8?q?Deploying=20to=20gh-pages=20from=20@=20YangLabH?= =?UTF-8?q?KUST/mfair@969a807f0bb13fe06a6fb58400a2bd0a33b77a91=20?= =?UTF-8?q?=F0=9F=9A=80?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- index.html | 1 + pkgdown.yml | 2 +- 2 files changed, 2 insertions(+), 1 deletion(-) diff --git a/index.html b/index.html index d1d259a..87099be 100644 --- a/index.html +++ b/index.html @@ -69,6 +69,7 @@ +

The R package mfair implements the methods based on the paper MFAI: A scalable Bayesian matrix factorization approach to leveraging auxiliary information. 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.

Installation diff --git a/pkgdown.yml b/pkgdown.yml index e2f525d..717d857 100644 --- a/pkgdown.yml +++ b/pkgdown.yml @@ -4,7 +4,7 @@ pkgdown_sha: ~ 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