By Suresh Kumar Gorakala

Key Features

  • A step by step consultant to construction suggestion engines which are customized, scalable, and genuine time
  • Get to grips with the simplest instrument in the marketplace to create recommender systems
  • This hands-on advisor indicates you the way to enforce varied instruments for advice engines, and while to take advantage of which

Book Description

A advice engine (sometimes known as a recommender process) is a device that shall we set of rules builders are expecting what a person may possibly or won't like between an inventory of given goods. Recommender structures became tremendous universal in recent times, and are utilized in quite a few purposes. the preferred ones are videos, track, information, books, learn articles, seek queries, social tags, and items in general.

The publication starts off with an creation to advice structures and its purposes. you'll then begin development advice engines without delay from the very fundamentals. As you progress alongside, you'll discover ways to construct recommender platforms with renowned frameworks akin to R, Python, Spark, Neo4j, and Hadoop. you'll get an perception into the professionals and cons of every suggestion engine and while to exploit which advice to make sure each one choose is the person who matches you the best.

During the process the e-book, you'll create easy advice engine, real-time suggestion engine, scalable advice engine, and extra. you'll familiarize yourselves with quite a few thoughts of recommender structures corresponding to collaborative, content-based, and cross-recommendations prior to discovering the simplest practices of establishing a recommender procedure in the direction of the tip of the book!

What you'll learn

  • Build your first advice engine
  • Discover the instruments had to construct suggestion engines
  • Dive into many of the recommendations of recommender platforms reminiscent of collaborative, content-based, and cross-recommendations
  • Create effective decision-making structures that would ease your work
  • Familiarize your self with laptop studying algorithms in numerous frameworks
  • Master various models of advice engines from sensible code examples
  • Explore a number of recommender platforms and enforce them in renowned concepts with R, Python, Spark, and others

About the Author

Suresh Kumar Gorakala is a knowledge scientist thinking about synthetic Intelligence. He has expert event with reference to 10 years, having labored with a number of worldwide consumers throughout a number of domain names and helped them in fixing their company difficulties utilizing complicated significant facts Analytics. He has greatly labored on advice Engines, common language Processing, complex computing device studying, Graph Databases. He formerly co-authored construction a advice process with R for Packt Publishing. he's passionate vacationer and is photographer via hobby.

Table of Contents

  1. Introduction to advice Engines
  2. Build Your First suggestion Engine
  3. Recommendation Engines Explained
  4. Data Mining thoughts utilized in advice Engines
  5. Building Collaborative Filtering suggestion Engines
  6. Building customized advice Engines
  7. Building Real-Time suggestion Engines with Spark
  8. Building Real-Time strategies with Neo4j
  9. Building Scalable suggestion Engines with Mahout
  10. What subsequent - the way forward for advice Engines

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Building Recommendation Engines by Suresh Kumar Gorakala


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