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        <description>Introduction

Product recommendations are usually implemented by using collaborative filtering technique which recommends items by calculating similar items to the given item as well as finding similar users to whom recommendations are being made. This is very useful algorithm and is core of many big companies like amazon,netflix etc. But the major concern with collaborative filtering is that it doesn’t handle cold start problem(eg: If user has no enrollments) well so to handle this we need help…</description>
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