Название: Practical Machine Learning: Innovations in RecommendationАвтор: Ted Dunning, Ellen Friedman
Издательство: O'Reilly Media
Год: 2014
ISBN: 9781491915387
Формат: pdf
Страниц: 56
Размер: 10,1 mb
Язык: English
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 Mahout for 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