Online Library TheLib.net » Practical Machine Learning
cover of the book Practical Machine Learning

Ebook: Practical Machine Learning

00
07.02.2024
0
0

Building a simple but powerful recommendation system is much easier than you think. Approachable for all levels of expertise, this report explains innovations that make machine learning practical for business production settings—and demonstrates how even a small-scale development team can design an effective large-scale recommendation system.

Apache Mahout committers Ted Dunning and Ellen Friedman walk you through a design that relies on careful simplification. You’ll learn how to collect the right data, analyze it with an algorithm from the Mahout library, and then easily deploy the recommender using search technology, such as Apache Solr or Elasticsearch. Powerful and effective, this efficient combination does learning offline and delivers rapid response recommendations in real time.

  • Understand the tradeoffs between simple and complex recommenders
  • Collect user data that tracks user actions—rather than their ratings
  • Predict what a user wants based on behavior by others, using Mahoutfor co-occurrence analysis
  • Use search technology to offer recommendations in real time, complete with item metadata
  • Watch the recommender in action with a music service example
  • Improve your recommender with dithering, multimodal recommendation, and other techniques
Download the book Practical Machine Learning for free or read online
Read Download

Continue reading on any device:
QR code
Last viewed books
Related books
Comments (0)
reload, if the code cannot be seen