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Mastering Social Media Mining with R by Vikram Garg, Sharan Kumar Ravindran

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Recommendations to the users

Recommendation has become very common nowadays. Many online companies like Amazon, Facebook, LinkedIn, and so on provide recommendations. These recommendations are produced by the recommendation system that is nothing but an algorithm that uses some of the historic data to predict what the user would like. The recommendation can be implemented using the collaborative filtering algorithm, which can be implemented using either user-based or item-based methodology. In this section, we will see in detail the implementation of the algorithm using user-based filtering.

How to do it

We will use the information of the users whose details we have downloaded, and the users whom they follow, and we will build the recommendation ...

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