This pull request introduces a Collaborative Filtering algorithm example to the Wayang Examples Guide.
Why?
Collaborative Filtering is a key technique used in Recommendation Systems. By including this example, we aim to provide users with a practical demonstration of how Wayang can be applied in this important area.
How?
The example covers several steps including data loading, rating normalization, cosine similarity calculation between users, prediction of ratings for each user-item pair, and handling of cold start problems. This comprehensive approach gives users a clear understanding of how to implement such a system using Wayang.
What?
This pull request introduces a Collaborative Filtering algorithm example to the Wayang Examples Guide.
Why?
Collaborative Filtering is a key technique used in Recommendation Systems. By including this example, we aim to provide users with a practical demonstration of how Wayang can be applied in this important area.
How?
The example covers several steps including data loading, rating normalization, cosine similarity calculation between users, prediction of ratings for each user-item pair, and handling of cold start problems. This comprehensive approach gives users a clear understanding of how to implement such a system using Wayang.