DataFunTalk

Sep 24, 2019 · Big Data

Collaborative Filtering: Fundamentals, Similarity Measures, and Distributed Implementation on Spark

This article introduces the basic concepts of collaborative filtering, explains user‑based and item‑based approaches, presents co‑occurrence, Euclidean, Pearson, and Cosine similarity formulas, and provides complete Scala implementations for these metrics and association‑rule mining on the Spark platform, along with practical scalability tips.