In my previous posts on Big Data and Machine Learning, we explored the core concepts of a recommendation engine using Apache Mahout . We covered how collaborative filtering recommendation engines compares the similarity of users or of items and makes recommendations on this notion of similarity and examining the neighborhood of users. We learned about the… Read more »
All Posts by Sayantam Dey
Senior Director Engineering
Sayantam Dey is the Senior Director of Engineering at 3Pillar Global, working out of our office in Noida, India. He has been with 3Pillar for ten years, delivering enterprise products and building frameworks for accelerated software development and testing in various technologies. His current areas of interest are data analytics, messaging systems and cloud services. He has authored the ‘Spring Integration AWS’ open source project and contributes to other open source projects such as SocialAuth and SocialAuth Android.
In the previous blog on machine learning, we learnt about applying machine learning techniques to recommendation engines and an overview of collaborative filtering (CF) algorithms implemented in Apache Mahout. In this post, we’ll discuss how to build a recommendation engine using Mahout. Let us take an example of a movie rating application that allows users… Read more »
This blog post will give you a whirlwind tour of machine learning techniques applied to recommender engines and why we’ve chosen Apache Mahout for our research. Machine learning is a branch of artificial intelligence (AI) focused on the study of systems that can learn from data. Over the years, it has seen many applications in… Read more »