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FINAL PROJECT: " Recomendation System and Review", COURSE MACHINE LEARNING TERAPAN DICODING

The dataset used in this report contains information on user activity in sharing and reading articles. This data is taken from Deskdrop, an internal article sharing platform for the CI&T team. This dataset contains information about users, articles shared and read, and activity times.

By using 2 models, namely Content Based Filtering and Collaborative Filtering and in the evaluation stage used Top-N accuracy metrics. From the evaluation results in getting better model results is Collaborative Filtering. And at the testing stage, the results are quite accurate on Top N article recommendations.

CERTIFICATE MACHINE LEARNING TERAPAN DICODING