How do I implement content-based filtering?

How do I implement content-based filtering in my recommendation system?

To implement content-based filtering, start by defining the features of the items you want to recommend.

What kind of features should I consider?

Consider features like genre, keywords, and user ratings. These help in understanding item similarities.

How do I calculate the similarity between items?

You can use techniques like cosine similarity or Jaccard index to measure the similarity between item features.

Can you give me an example of how to use cosine similarity?

Sure! If you have item vectors, you can calculate cosine similarity by taking the dot product of the vectors and dividing by their magnitudes.