Movie-Recommendation-Engine

A movie recommendation engine on IMDB dataset through collaborative filtering.

Collaborative filtering is processing the similarity of the data we have. Here, we have used Euclidean Distance and Cosine Similarity algorithms to recommend 50 movies which are similar to the movie name that the user provides as an input.

Features used in the model:

1. Keywords
2. Cast
3. Genre
4. Director