What is the process for building a recommendation engine?
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Steps for building a recommendation engine using machine learning are:
- Identify the problem and set goals
- Collect and preprocess data
- Perform exploratory data analysis
- Engineer features
- Select a model
- Train the model
- Tune hyperparameters
- Evaluate the model
Follow the below link for reference:
How to Build a Book Recommendation System
HOW TO BUILD AN AI-POWERED RECOMMENDATION SYSTEM?
Recommendation System Series Part 1: An Executive Guide to Building Recommendation System
Build a Recommendation Engine With Collaborative Filtering
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