item-based filtering

Recommender System using JAVA & Apache Mahout

Apache Mahout is a project of Apache Software Foundation. Mahout helps building scalable Machine Learning applications. It primarily focuses in the areas of Collaborative Filtering, Classification, and Clustering. Here is a very nice video tutorial on Mahout Item Recommender Tutorial using Java and Eclipse. It thoroughly explains about how to use Movielens dataset and create … Read more

Recommender System using Python & Crab

Crab as known as scikits.recommender is a Python framework for building recommender engines integrated with the world of scientific Python packages (numpy, scipy, matplotlib). Currently, Crab supports two Recommender Algorithms: User-based Collaborative Filtering and Item-based Collaborative Filtering. Here is a tutorial on Introduction to Recommender Systems with Crab. It briefly explains about what Recommendation is, … Read more