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Recommendation Service Visualization with AWS EC2 Server .htm
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Recommendation Service Visualization with AWS EC2 Server .htm
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<div class=WordSection1>
<p class=MsoTocHeading>By Afsar Ali</p>
<p class=MsoToc1><span class=MsoHyperlink><a href="#_Toc525380037"><b>Recommendation
Service Visualization with AWS EC2 Server</b><span style='display:none;
text-decoration:none'> </span><span
style='display:none;text-decoration:none'>1</span></a></span></p>
<p class=MsoToc2><span class=MsoHyperlink><a href="#_Toc525380038">(1) Answer
questions:<span style='display:none;text-decoration:none'> </span><span style='display:none;text-decoration:none'>1</span></a></span></p>
<p class=MsoToc3><span class=MsoHyperlink><a href="#_Toc525380039">1.<span
style='text-decoration:none'> </span>Summarize Python Flask<span
style='display:none;text-decoration:none'>. </span><span
style='display:none;text-decoration:none'>1</span></a></span></p>
<p class=MsoToc3><span class=MsoHyperlink><a href="#_Toc525380040">2.<span
style='text-decoration:none'> </span>Describe REST (Representational State
Transfer) <span style='display:none;text-decoration:none'>. </span><span style='display:none;text-decoration:none'>1</span></a></span></p>
<p class=MsoToc3><span class=MsoHyperlink><a href="#_Toc525380041">3.<span
style='text-decoration:none'> </span>Summarize three files few sentences
for each file<span style='display:none;text-decoration:none'> </span><span style='display:none;text-decoration:none'>1</span></a></span></p>
<p class=MsoToc3><span class=MsoHyperlink><a href="#_Toc525380042">4.<span
style='text-decoration:none'> </span>Use to REST APIs below and enter
different user ids to learn about 10 different users with at least a high
rating of the same movie:<span style='display:none;text-decoration:none'> </span><span style='display:none;text-decoration:none'>1</span></a></span></p>
<p class=MsoToc3><span class=MsoHyperlink><a href="#_Toc525380043">5.<span
style='text-decoration:none'> </span>Evaluate the engine how close it can
generate movie recommendation based on one movie<span style='display:none;
text-decoration:none'>. </span><span
style='display:none;text-decoration:none'>1</span></a></span></p>
<p class=MsoToc2><span class=MsoHyperlink><a href="#_Toc525380044">(2) Paste
the screen shots of 10 different users above.<span style='display:none;
text-decoration:none'> </span><span
style='display:none;text-decoration:none'>1</span></a></span></p>
<p class=MsoNormal> </p>
<h1><a name="_Toc525380037"><b><span style='font-size:14.0pt'>Recommendation
Service Visualization with AWS EC2 Server</span></b></a> </h1>
<h2> <a name="_Toc525380038"><span style='font-size:12.0pt'>(1) Answer
questions:</span></a></h2>
<p class=MsoListParagraphCxSpFirst style='text-indent:-.25in'><a
name="_Toc525380039">1.<span style='font:7.0pt "Times New Roman"'>
</span>Summarize Python Flask</a></p>
<p class=MsoListParagraphCxSpMiddle style='margin-left:1.0in'>Flask is a small
and powerful web framework for Python. It's easy to learn and simple to use,
enabling us to build our web app in a short amount of time. For example, app.py
is a Flask web application that defines a RESTful-like API around the engine. In
our tutorial we built a RESTful API around a Spark recommendation engine using
the Flask micro-framework</p>
<p class=MsoListParagraphCxSpMiddle style='text-indent:-.25in'><a
name="_Toc525380040">2.<span style='font:7.0pt "Times New Roman"'>
</span>Describe REST (Representational State Transfer) </a> </p>
<p class=MsoListParagraphCxSpMiddle style='margin-left:1.0in'><span
class=MsoHyperlink><span style='text-decoration:none'>REST </span></span>(Representational
State Transfer) <span class=MsoHyperlink><span style='text-decoration:none'>considered
to be a set of principles that assign how HTTP and URLs Web standards are used.
The main idea is that if we use REST principles while developing our
application we will have a system that uses the Webs architecture to your
benefit. Basically, its an architectural style and approach to communications
often used in web services development. Its application program interface (API)
uses HTTP requests to GET, PUT, POST and DELETE data.</span></span></p>
<p class=MsoListParagraphCxSpMiddle style='text-indent:-.25in'><a
name="_Toc525380041">3.<span style='font:7.0pt "Times New Roman"'>
</span>Summarize three files few sentences for each file</a> </p>
<p class=MsoListParagraphCxSpMiddle style='margin-left:1.0in;text-indent:-.25in'>1.<span
style='font:7.0pt "Times New Roman"'> </span>Engine.py
is the recommendation engine, wrapping inside all the Spark related
computations. We created the ALS model in our recommendation engine.</p>
<p class=MsoListParagraphCxSpMiddle style='margin-left:1.0in;text-indent:-.25in'>2.<span
style='font:7.0pt "Times New Roman"'> </span>App.py
is a Flask web application that defines a RESTful-like API around the engine. Basically,
we wrap our Recommendation Engine and interchange JSON formatted data with the
web client.</p>
<p class=MsoListParagraphCxSpMiddle style='margin-left:1.0in;text-indent:-.25in'>3.<span
style='font:7.0pt "Times New Roman"'> </span>Server.py
initializes a CherryPy webserver after creating a Spark context and Flask web
app using the previous. Basically, in order to have our server running while
being able to access our spark context and cluster we need this. </p>
<p class=MsoListParagraphCxSpMiddle style='text-indent:-.25in'><a
name="_Toc525380042">4.<span style='font:7.0pt "Times New Roman"'>
</span>Use to REST APIs below and enter different user ids to learn about 10
different users with at least a high rating of the same movie:</a></p>
<p class=MsoListParagraphCxSpMiddle style='margin-left:1.5in;text-indent:-9.0pt'>1.<span
style='font:7.0pt "Times New Roman"'>
</span><span class=MsoHyperlink><a
href="http://35.161.30.243:5432/10/ratings/top/10">http://35.161.30.243:5432/10/ratings/top/10</a></span></p>
<p class=MsoListParagraphCxSpMiddle style='margin-left:1.5in;text-indent:-9.0pt'>2.<span
style='font:7.0pt "Times New Roman"'>
</span><span class=MsoHyperlink><a
href="http://35.161.30.243:5432/31/ratings/top/10">http://35.161.30.243:5432/31/ratings/top/10</a></span></p>
<p class=MsoListParagraphCxSpMiddle style='margin-left:1.5in;text-indent:-9.0pt'>3.<span
style='font:7.0pt "Times New Roman"'>
</span><span class=MsoHyperlink><a
href="http://35.161.30.243:5432/27/ratings/top/10">http://35.161.30.243:5432/27/ratings/top/10</a></span></p>
<p class=MsoListParagraphCxSpMiddle style='margin-left:1.5in;text-indent:-9.0pt'>4.<span
style='font:7.0pt "Times New Roman"'>
</span><span class=MsoHyperlink><a
href="http://35.161.30.243:5432/11/ratings/top/10">http://35.161.30.243:5432/11/ratings/top/10</a></span></p>
<p class=MsoListParagraphCxSpMiddle style='margin-left:1.5in;text-indent:-9.0pt'>5.<span
style='font:7.0pt "Times New Roman"'>
</span><span class=MsoHyperlink><a
href="http://35.161.30.243:5432/41/ratings/top/10">http://35.161.30.243:5432/41/ratings/top/10</a></span></p>
<p class=MsoListParagraphCxSpMiddle style='margin-left:1.5in;text-indent:-9.0pt'>6.<span
style='font:7.0pt "Times New Roman"'>
</span><span class=MsoHyperlink><a
href="http://35.161.30.243:5432/4/ratings/top/10">http://35.161.30.243:5432/4/ratings/top/10</a></span></p>
<p class=MsoListParagraphCxSpMiddle style='margin-left:1.5in;text-indent:-9.0pt'>7.<span
style='font:7.0pt "Times New Roman"'>
</span><span class=MsoHyperlink><a
href="http://35.161.30.243:5432/311/ratings/top/10">http://35.161.30.243:5432/311/ratings/top/10</a></span></p>
<p class=MsoListParagraphCxSpMiddle style='margin-left:1.5in;text-indent:-9.0pt'>8.<span
style='font:7.0pt "Times New Roman"'>
</span><span class=MsoHyperlink><a
href="http://35.161.30.243:5432/21/ratings/top/10">http://35.161.30.243:5432/21/ratings/top/10</a></span></p>
<p class=MsoListParagraphCxSpMiddle style='margin-left:1.5in;text-indent:-9.0pt'><span
class=MsoHyperlink><span style='text-decoration:none'>9.<span style='font:7.0pt "Times New Roman"'>
</span></span></span><span class=MsoHyperlink><a
href="http://35.161.30.243:5432/24/ratings/top/10">http://35.161.30.243:5432/24/ratings/top/10</a></span></p>
<p class=MsoListParagraphCxSpMiddle style='margin-left:1.5in;text-indent:-9.0pt'>10.<span
style='font:7.0pt "Times New Roman"'>
</span><span class=MsoHyperlink><span style='text-decoration:none'><a
href="http://35.161.30.243:5432/13/ratings/top/10">http://35.161.30.243:5432/13/ratings/top/10</a></span></span></p>
<p class=MsoListParagraphCxSpMiddle style='text-indent:-.25in'><a
name="_Toc525380043">5.<span style='font:7.0pt "Times New Roman"'>
</span>Evaluate the engine how close it can generate movie recommendation based
on one movie</a></p>
<p class=MsoListParagraphCxSpLast style='margin-left:1.0in'>I used Shawshank
Redemption as my correlated movie and noticed that there was similar genres
across all 10 recommendation and most popular movies included such as God
Father and Dark Knight. The recommendation engine can probably be much
better as we update and add our own ratings. </p>
<p class=MsoNormal> </p>
<h2><a name="_Toc525380044"><span style='font-size:12.0pt'>(2) Paste the screen
shots of 10 different users above.</span></a></h2>
<p class=MsoNormal> </p>
<p class=MsoNormal><img border=0 width=720 height=188 id="Picture 1"
src="Recommendation%20Service%20Visualization%20with%20AWS%20EC2%20Server%20_files/image001.jpg"></p>
<p class=MsoNormal><img border=0 width=719 height=161 id="Picture 3"
src="Recommendation%20Service%20Visualization%20with%20AWS%20EC2%20Server%20_files/image002.jpg"></p>
<p class=MsoNormal><img border=0 width=721 height=147 id="Picture 12"
src="Recommendation%20Service%20Visualization%20with%20AWS%20EC2%20Server%20_files/image003.jpg"></p>
<p class=MsoNormal><br>
<img border=0 width=720 height=159 id="Picture 2"
src="Recommendation%20Service%20Visualization%20with%20AWS%20EC2%20Server%20_files/image004.jpg"></p>
<p class=MsoNormal><img border=0 width=719 height=178 id="Picture 4"
src="Recommendation%20Service%20Visualization%20with%20AWS%20EC2%20Server%20_files/image005.jpg"></p>
<p class=MsoNormal><img border=0 width=721 height=189 id="Picture 5"
src="Recommendation%20Service%20Visualization%20with%20AWS%20EC2%20Server%20_files/image006.jpg"><img
border=0 width=720 height=181 id="Picture 8"
src="Recommendation%20Service%20Visualization%20with%20AWS%20EC2%20Server%20_files/image007.jpg"></p>
<p class=MsoNormal><img border=0 width=720 height=161 id="Picture 9"
src="Recommendation%20Service%20Visualization%20with%20AWS%20EC2%20Server%20_files/image008.jpg"></p>
<p class=MsoNormal> </p>
<p class=MsoNormal><img border=0 width=720 height=189 id="Picture 10"
src="Recommendation%20Service%20Visualization%20with%20AWS%20EC2%20Server%20_files/image009.jpg"></p>
<p class=MsoNormal> </p>
<p class=MsoNormal><img border=0 width=720 height=174 id="Picture 11"
src="Recommendation%20Service%20Visualization%20with%20AWS%20EC2%20Server%20_files/image010.jpg"></p>
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