Recommendation Engines perform a variety of tasks - but the most important one is to find products that are most relevant to the user. Content based filtering, collaborative filtering and Association rules are common approaches to do so. So let's first Understand basics of Recommendation Engines and then we'll later on Build Our Own Recommendation Engine !!! HIGH QUALITY, PERSONALIZED ARE THE HOLY GRAIL FOR EVERY ONLINE STORE. UNLIKE OFFLINE STORES, ONLINE STORES HAVE NO SALES PEOPLE. USERS ON THE OTHER HAND HAVE LIMITED TIME AND PATIENCE, ARE NOT SURE WHAT THEY ARE LOOKING FOR ONLINE STORES HAVE A HUGE NUMBER OF PRODUCTS. RECOMMENDATIONS HELP USERS NAVIGATE THE MAZE OF ONLINE STORES FIND WHAT THEY ARE LOOKING FOR FIND THINGS THEY MIGHT LIKE, BUT DIDN’T KNOW OF. RECOMMENDATIONS HELP ONLINE STORES SOLVE THE PROBLEM OF DISCOVERY. BUT HOW? Lets Explain this. ONLINE STORES HAVE DATA 1) WHAT USERS BOUGHT 2) WHAT USERS BROWSED 3) WHAT USERS CLICKED 4) WH