diff --git a/README.Rmd b/README.Rmd
index 8f5269b..88899a5 100644
--- a/README.Rmd
+++ b/README.Rmd
@@ -20,7 +20,7 @@ knitr::opts_chunk$set(
 [![R-CMD-check](https://github.com/YangLabHKUST/mfair/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/YangLabHKUST/mfair/actions/workflows/R-CMD-check.yaml)
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-Matrix factorization methods based on the paper [MFAI: A scalable Bayesian matrix factorization approach to leveraging auxiliary information](https://doi.org/10.48550/arXiv.2303.02566).
+The R package `mfair` implements the methods based on the paper [MFAI: A scalable Bayesian matrix factorization approach to leveraging auxiliary information](https://doi.org/10.48550/arXiv.2303.02566).
 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.
 
diff --git a/README.md b/README.md
index 92426f2..59923f2 100644
--- a/README.md
+++ b/README.md
@@ -10,8 +10,8 @@ coverage](https://codecov.io/gh/YangLabHKUST/mfair/branch/main/graph/badge.svg)]
 [![R-CMD-check](https://github.com/YangLabHKUST/mfair/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/YangLabHKUST/mfair/actions/workflows/R-CMD-check.yaml)
 <!-- badges: end -->
 
-Matrix factorization methods based on the paper [MFAI: A scalable
-Bayesian matrix factorization approach to leveraging auxiliary
+The R package `mfair` implements the methods based on the paper [MFAI: A
+scalable Bayesian matrix factorization approach to leveraging auxiliary
 information](https://doi.org/10.48550/arXiv.2303.02566). MFAI integrates
 gradient boosted trees in the probabilistic matrix factorization
 framework to effectively leverage auxiliary information. The parameters