By Suresh Kumar Gorakala
- A step by step advisor to development suggestion engines which are custom-made, scalable, and actual time
- Get to grips with the easiest software in the marketplace to create recommender systems
- This hands-on advisor exhibits you ways to enforce various instruments for suggestion engines, and while to take advantage of which
A suggestion engine (sometimes often called a recommender procedure) is a device that we could set of rules builders expect what a person could or would possibly not like between a listing of given goods. Recommender structures became tremendous universal lately, and are utilized in quite a few functions. the most well-liked ones are videos, tune, information, books, examine articles, seek queries, social tags, and items in general.
The publication starts off with an creation to suggestion structures and its functions. you'll then commence development suggestion engines without delay from the very fundamentals. As you progress alongside, you are going to learn how to construct recommender structures with renowned frameworks corresponding to R, Python, Spark, Neo4j, and Hadoop. you'll get an perception into the professionals and cons of every advice engine and while to exploit which advice to make sure every one decide is the person who fits you the best.
During the process the booklet, you'll create basic advice engine, real-time advice engine, scalable suggestion engine, and extra. you are going to familiarize yourselves with quite a few ideas of recommender structures resembling collaborative, content-based, and cross-recommendations ahead of discovering the simplest practices of establishing a recommender procedure in the direction of the top of the book!
What you are going to learn
- Build your first advice engine
- Discover the instruments had to construct advice engines
- Dive into a number of the options of recommender structures reminiscent of collaborative, content-based, and cross-recommendations
- Create effective decision-making structures that may ease your work
- Familiarize your self with computer studying algorithms in several frameworks
- Master various models of advice engines from sensible code examples
- Explore numerous recommender structures and enforce them in renowned innovations with R, Python, Spark, and others
About the Author
Suresh Kumar Gorakala is a knowledge scientist occupied with man made Intelligence. He has expert event just about 10 years, having labored with a variety of international consumers throughout a number of domain names and helped them in fixing their company difficulties utilizing complicated vast facts Analytics. He has largely labored on suggestion Engines, normal language Processing, complex computer studying, Graph Databases. He formerly co-authored construction a suggestion approach with R for Packt Publishing. he's passionate visitor and is photographer by way of hobby.
Table of Contents
- Introduction to suggestion Engines
- Build Your First advice Engine
- Recommendation Engines Explained
- Data Mining recommendations utilized in suggestion Engines
- Building Collaborative Filtering advice Engines
- Building customized suggestion Engines
- Building Real-Time suggestion Engines with Spark
- Building Real-Time ideas with Neo4j
- Building Scalable suggestion Engines with Mahout
- What subsequent - the way forward for suggestion Engines
Read or Download Building Recommendation Engines PDF
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Additional resources for Building Recommendation Engines
Building Recommendation Engines by Suresh Kumar Gorakala