Mastering Python for Data Science

Chapter 8. Generating Recommendations with Collaborative Filtering

Collaborative filtering is the process of filtering for information or patterns using techniques including collaboration among multiple agents, viewpoints, data sources, and so on. Collaborative filtering methods have been applied to many different kinds of data, including sensing and monitoring data, such as mineral exploration, environmental sensing over large areas or multiple sensors; financial data, such as financial service institutions that integrate many financial sources; or in electronic commerce and web applications where the focus is on user data and so on.

The basic principle behind the collaborative filtering approach is that it tries to find people who are similar ...