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Machine Learning Solutions

You're reading from Machine Learning Solutions Expert techniques to tackle complex machine learning problems using Python

Product type Paperback

Published in Apr 2018

Publisher Packt

ISBN-13 9781788390040

Length 566 pages

Edition 1st Edition

Languages

Python

Tools

OpenCV

Concepts

Machine Learning

Author (1):

Jalaj Thanaki

View More author details

Table of Contents (19) Chapters

Machine Learning Solutions

Foreword

Contributors

Preface

1. Credit Risk Modeling

2. Stock Market Price Prediction FREE CHAPTER

3. Customer Analytics

4. Recommendation Systems for E-Commerce

5. Sentiment Analysis

6. Job Recommendation Engine

7. Text Summarization

8. Developing Chatbots

9. Building a Real-Time Object Recognition App

10. Face Recognition and Face Emotion Recognition

11. Building Gaming Bot

List of Cheat Sheets

Strategy for Wining Hackathons

Index

Chapter 4. Recommendation Systems for E-Commerce

In the previous three chapters, we have covered a lot of tips and tricks that can be used to build various types of analytics products. In this chapter, we are going to build a recommendation engine for the e-commerce domain. Let's go over some background of recommendation systems. Then, we will discuss the problem statement that we are trying to solve in this chapter.

Let's take a relatable example from real life. We surf videos on YouTube almost every day, right? Suppose you saw some videos related to rock music on YouTube last night. This morning, when you open your YouTube, you may find that there are a couple of suggested YouTube channels with good videos on rock music. YouTube actually changes its suggestions based on your watching habits. Do you want to know how that algorithm works? Let's take another example that might be useful to us in this chapter. Most of us buy stuff from various e-commerce sites. Suppose you are trying to purchase...

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Authors (1)

Jalaj Thanaki

Jalaj Thanaki

Jalaj Thanaki is an experienced data scientist with a demonstrated history of working in the information technology, publishing, and finance industries. She is author of the book Python Natural Language Processing, Packt publishing. Her research interest lies in Natural Language Processing, Machine Learning, Deep Learning, and Big Data Analytics. Besides being a data scientist, Jalaj is also a social activist, traveler, and nature-lover.

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