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Apache Mahout Essentials by Jayani Withanawasam

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User-based recommenders

In user-based recommenders, similar users from a given neighborhood are identified and item recommendations are given based on what similar users already bought or viewed, which a particular user did not buy or view yet.

For example, as shown in the following figure, if Nimal likes the movies Interstellar (2014) and Lucy (2014) and Sunil also likes the same movies, and in addition, if Sunil likes The Matrix (1999) as well, then we can recommend The Matrix (1999) to Nimal, as the chances are that Nimal and Sunil are like-minded people.

User-based recommenders

A real-world example – movie recommendations

Let's explain this approach using a real-world ...

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