Building a Recommendation Engine To Find Similar Brands

Posted on 24 Jul, 2016

Since the amount of data has grown massively in last few years, the task of obtaining relevant information has become a challenge. Recommendation engines are one solution to such problem, where they aim to deliver accurate and relevant pieces of information to the users.

Recommendation engines are widely observed today, for example – youtube’s video suggestions lists, amazon’s recommended products and facebook’s friends and ads suggestions.

There are generally two types of recommendation engines – Collaborative Filtering Based and Content Based. Sometimes the hybrid models are also used.

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