update doc

_build/html/_sources/index.rst.txt

@@ -8,10 +8,10 @@ Get Started with xLearn !
 
 xLearn is a *high-performance*, *easy-to-use*, and *scalable* machine learning package, 
 which can be used to solve large-scale machine learning problems, especially for for solving 
-problems on large-scale sparse data, which is very common in the scenes like CTR prediction 
-and recommender system. If you are the user of liblinear, libfm, or libffm, now xLearn the 
-your another better choice. This is because xLearn handles all of these models in a uniform 
-platform and provides better performance and scalability.
+problems on large-scale sparse data, which is very common in scenes like CTR prediction and 
+recommender system. If you are the user of liblinear, libfm, or libffm, now xLearn the your 
+another better choice. This is because xLearn handles all of these models in a uniform platform 
+and provides better performance and scalability.
 
 This is a quick start tutorial showing snippets for you to quickly try out xLearn on a small demo 
 dataset (Criteo CTR) for a binary classfication task.

_build/html/index.html

@@ -162,10 +162,10 @@
 <h1>Get Started with xLearn !<a class="headerlink" href="#get-started-with-xlearn" title="Permalink to this headline">¶</a></h1>
 <p>xLearn is a <em>high-performance</em>, <em>easy-to-use</em>, and <em>scalable</em> machine learning package,
 which can be used to solve large-scale machine learning problems, especially for for solving
-problems on large-scale sparse data, which is very common in the scenes like CTR prediction
-and recommender system. If you are the user of liblinear, libfm, or libffm, now xLearn the
-your another better choice. This is because xLearn handles all of these models in a uniform
-platform and provides better performance and scalability.</p>
+problems on large-scale sparse data, which is very common in scenes like CTR prediction and
+recommender system. If you are the user of liblinear, libfm, or libffm, now xLearn the your
+another better choice. This is because xLearn handles all of these models in a uniform platform
+and provides better performance and scalability.</p>
 <p>This is a quick start tutorial showing snippets for you to quickly try out xLearn on a small demo
 dataset (Criteo CTR) for a binary classfication task.</p>
 <div class="section" id="link-to-the-other-helpful-resources">

index.rst

@@ -8,10 +8,10 @@ Get Started with xLearn !
 
 xLearn is a *high-performance*, *easy-to-use*, and *scalable* machine learning package, 
 which can be used to solve large-scale machine learning problems, especially for for solving 
-problems on large-scale sparse data, which is very common in the scenes like CTR prediction 
-and recommender system. If you are the user of liblinear, libfm, or libffm, now xLearn the 
-your another better choice. This is because xLearn handles all of these models in a uniform 
-platform and provides better performance and scalability.
+problems on large-scale sparse data, which is very common in scenes like CTR prediction and 
+recommender system. If you are the user of liblinear, libfm, or libffm, now xLearn the your 
+another better choice. This is because xLearn handles all of these models in a uniform platform 
+and provides better performance and scalability.
 
 This is a quick start tutorial showing snippets for you to quickly try out xLearn on a small demo 
 dataset (Criteo CTR) for a binary classfication task.