Practical Recommender Systems (pdf)

$15.00

Author Kim Falk
Edition 1
Edition Year 2019
Format PDF
ISBN 9781617292705
Language English
Number Of Pages 432
Publisher Manning Publications

Description

About the Book

Practical Recommender Systems explains how recommender systems work and shows how to create and apply them for your site. After covering the basics, you’ll see how to collect user data and produce personalized recommendations. You’ll learn how to use the most popular recommendation algorithms and see examples of them in action on sites like Amazon and Netflix. Finally, the book covers scaling problems and other issues you’ll encounter as your site grows.

What’s inside

  • How to collect and understand user behavior
  • Collaborative and content-based filtering
  • Machine learning algorithms
  • Real-world examples in Python

About the Reader

Readers need intermediate programming and database skills.

About the Author

Kim Falk is an experienced data scientist who works daily with machine learning and recommender systems.

Table of Contents

PART 1 – GETTING READY FOR RECOMMENDER SYSTEMS

    1. What is a recommender?
    2. User behavior and how to collect it
    3. Monitoring the system
    4. Ratings and how to calculate them
    5. Non-personalized recommendations
    6. The user (and content) who came in from the cold

PART 2 – RECOMMENDER ALGORITHMS

  1. Finding similarities among users and among content
  2. Collaborative filtering in the neighborhood
  3. Evaluating and testing your recommender
  4. Content-based filtering
  5. Finding hidden genres with matrix factorization
  6. Taking the best of all algorithms: implementing hybrid recommenders
  7. Ranking and learning to rank
  8. Future of recommender systemsSummaryOnline recommender systems help users find movies, jobs, restaurants-even romance! There’s an art in combining statistics, demographics, and query terms to achieve results that will delight them. Learn to build a recommender system the right way: it can make or break your application!

    Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

    About the Technology

    Recommender systems are everywhere, helping you find everything from movies to jobs, restaurants to hospitals, even romance. Using behavioral and demographic data, these systems make predictions about what users will be most interested in at a particular time, resulting in high-quality, ordered, personalized suggestions. Recommender systems are practically a necessity for keeping your site content current, useful, and interesting to your visitors.

Additional information

Author

Kim Falk

Edition

1

Edition Year

2019

Format

PDF

ISBN

9781617292705

Language

English

Number Of Pages

432

Publisher

Manning Publications

Reviews

There are no reviews yet.

Be the first to review “Practical Recommender Systems (pdf)”

Your email address will not be published. Required fields are marked *