MachineLearning/RecommendationSystems/recommendation_systems_intro.ipynb

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    "<h1>Table of Contents<span class=\"tocSkip\"></span></h1>\n",
    "<div class=\"toc\"><ul class=\"toc-item\"><li><span><a href=\"#Recommendation-System-Modeling\" data-toc-modified-id=\"Recommendation-System-Modeling-1\"><span class=\"toc-item-num\">1&nbsp;&nbsp;</span>Recommendation System Modeling</a></span><ul class=\"toc-item\"><li><span><a href=\"#Wait,-we-have-data-science!!!\" data-toc-modified-id=\"Wait,-we-have-data-science!!!-1.1\"><span class=\"toc-item-num\">1.1&nbsp;&nbsp;</span>Wait, we have data science!!!</a></span></li></ul></li><li><span><a href=\"#Different-Recommenders\" data-toc-modified-id=\"Different-Recommenders-2\"><span class=\"toc-item-num\">2&nbsp;&nbsp;</span>Different Recommenders</a></span><ul class=\"toc-item\"><li><span><a href=\"#The-&quot;Dumb&quot;-Way\" data-toc-modified-id=\"The-&quot;Dumb&quot;-Way-2.1\"><span class=\"toc-item-num\">2.1&nbsp;&nbsp;</span>The \"Dumb\" Way</a></span><ul class=\"toc-item\"><li><span><a href=\"#But-we're-not-all-the-same!\" data-toc-modified-id=\"But-we're-not-all-the-same!-2.1.1\"><span class=\"toc-item-num\">2.1.1&nbsp;&nbsp;</span>But we're not all the same!</a></span></li></ul></li><li><span><a href=\"#The-&quot;Smart&quot;-Way\" data-toc-modified-id=\"The-&quot;Smart&quot;-Way-2.2\"><span class=\"toc-item-num\">2.2&nbsp;&nbsp;</span>The \"Smart\" Way</a></span><ul class=\"toc-item\"><li><span><a href=\"#Knowledge-Based\" data-toc-modified-id=\"Knowledge-Based-2.2.1\"><span class=\"toc-item-num\">2.2.1&nbsp;&nbsp;</span>Knowledge-Based</a></span></li><li><span><a href=\"#Content-Based\" data-toc-modified-id=\"Content-Based-2.2.2\"><span class=\"toc-item-num\">2.2.2&nbsp;&nbsp;</span>Content-Based</a></span></li><li><span><a href=\"#Collaborative-Filtering\" data-toc-modified-id=\"Collaborative-Filtering-2.2.3\"><span class=\"toc-item-num\">2.2.3&nbsp;&nbsp;</span>Collaborative Filtering</a></span></li></ul></li></ul></li></ul></div>"
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    "# Recommendation System Modeling"
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    "**Motivation**: Trying to predict what you all like, no specifically **you**\n",
    "\n",
    "\n",
    "There's too many choices!!! (Getting that ***Long Tail***)"
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    "<img src='https://upload.wikimedia.org/wikipedia/commons/thumb/8/8a/Long_tail.svg/440px-Long_tail.svg.png' width=60%/>"
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    "If only there was some **information** we can use to **predict** this... I suppose all is lost..."
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   "source": [
    "## Wait, we have data science!!!"
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    "<img src='images/super-data.jpg' alt='child dressed as super hero' width=60%/>"
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   "source": [
    "# Different Recommenders"
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   "source": [
    "> *_Question_*: How would you figure out what movie to recommend?"
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   "source": [
    "## The \"Dumb\" Way"
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    "> _\"Well, this is most popular so you must like it too. Right?\"_"
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   "source": [
    "<img src='images/minions.jpg' alt='Minion movie poster' width=50%/>"
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   "source": [
    "This is commonly referred to as using a **rank-based** recommendation system (recommendations based on some overall population matrix)"
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   "source": [
    "### But we're not all the same!"
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    "<img src='images/sheeple.png' alt='Herd of sheep with a white dog among them with caption \"We are not all sheeple; differences are what makes us great\"' width=50%/>"
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    "## The \"Smart\" Way"
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    "We can do better by **knowing** something about the user"
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    "### Knowledge-Based"
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    "We can filter options by first considering the user then use something like the ranking of that items"
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    "> \"You only like detective movies? The most popular detective movie right now is *Detective Pikachu* so you should like that!\""
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    "### Content-Based"
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    "> \"If you like *Iron Man*, you'll like other Avenger movies!\""
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    "![](images/content_based.png)"
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    "### Collaborative Filtering"
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    "> \"You like *Megamind*? Oh you're just like my brother! I bet you'll like *The Lego Movie*!\""
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   "source": [
    "![](images/collaborative_filtering.png)"
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