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Building Practical Recommen Engin

Track :

Programming

Lessons no : 5

For Free Certificate After Complete The Course

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What will you learn in this course?
  • Develop algorithms to identify similar users and items for personalized recommendations in recommender systems
  • Implement collaborative filtering techniques to enhance recommendation accuracy and user engagement
  • Apply rating prediction models to suggest relevant items based on user preferences and behavior data
  • Optimize recommender system performance using data analysis, similarity metrics, and machine learning methods

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Lessons | 5


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izdihar Ahmad Waham 

good
2025-08-12

Ali Asadi 

good
2025-02-04

Manjunath kanade 

Very good website
2024-08-06

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To build a system that can automatically recommend items to users based on the preferences of other users, the first step is to find similar users or items. The second step is to predict the ratings of the items that are not yet rated by a user.