A recommendation system is an extensive class of web applications that involves recommending products, services, information to users. A recommendation system has been a hot topic for a long time.
Recommendation systems are built on simple algorithms that predicts the most relevant and accurate items that suit the preferences and likes of the user by filtering useful stuff from a huge pool of data. Recommendation engines discover data patterns in the data set by learning consumers’ experiences, behaviors, preferences, and interests and produces the outcomes that co-relates to their needs and interests.
In Real-time, companies like Amazon use recommendation engine to recommend the goods or products that customers might also like.
If you want to learn Python and build a recommendation engine, you can sign up in this Python Training by Intellipaat.
You can watch this video to learn building Recommendation Engine using Python:
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