Building Recommender Engines with Apache Mahout: Part II

In my previous post we looked at user ratings based recommendations. Here, we are going to build recommender engine based on items. Item-based Recommendation: In item-based analysis, items likes recommend related to a particular item are determined. When a user likes a particular item, items related to that item are recommended. As shown in figure, if items…

Building Recommender Engines with Apache Mahout: Part I

Introduction to recommendation: Recommender systems provide personalized information by learning the user’s interests from traces of interaction with that user. Two broad types of recommendation: – User-based recommendation – Item-based recommendation Recommendation engines aim to show items of interest to a user. Recommendation engines in essence are matching engines that take into account the context of where…