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Hybrid Recommendation Strategy

Hybrid Recommendation Strategy

Relying on only one method may not produce the best recommendations. To improve results, this project uses a hybrid recommendation strategy.
The system combines genre similarity (from content-based filtering) and average movie ratings (from collaborative signals). Each of these factors is given a certain weight to control its importance.
By combining both similarity and rating, the system ensures that the recommended movies are not only relevant to the selected movie but also popular and highly rated by users. This balance improves the overall quality of recommendations.