update doc

_build/html/_sources/index.rst.txt

@@ -8,12 +8,13 @@ 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. xLearn is especially useful 
-for solving 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. 
+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 xLearn handles all of these models in a uniform platform
+and provide better performance and scalability.
 
-This is a quick start tutorial showing snippets for you to quickly try out xLearn on the demo 
-dataset on a binary classfication task.
+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.
 
 Link to the Other Helpful Resources
 ----------------------------------------

_build/html/index.html

@@ -162,11 +162,12 @@
 <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. xLearn is especially useful
-for solving 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.</p>
-<p>This is a quick start tutorial showing snippets for you to quickly try out xLearn on the demo
-dataset on a binary classfication task.</p>
+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 xLearn handles all of these models in a uniform platform
+and provide 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">
 <h2>Link to the Other Helpful Resources<a class="headerlink" href="#link-to-the-other-helpful-resources" title="Permalink to this headline">¶</a></h2>
 <blockquote>

index.rst

@@ -8,12 +8,13 @@ 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. xLearn is especially useful 
-for solving 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. 
+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 xLearn handles all of these models in a uniform platform
+and provide better performance and scalability.
 
-This is a quick start tutorial showing snippets for you to quickly try out xLearn on the demo 
-dataset on a binary classfication task.
+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.
 
 Link to the Other Helpful Resources
 ----------------------------------------