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R Data Analysis Projects

You're reading from   R Data Analysis Projects Build end to end analytics systems to get deeper insights from your data

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Product type Paperback
Published in Nov 2017
Publisher Packt
ISBN-13 9781788621878
Length 366 pages
Edition 1st Edition
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Author (1):
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Gopi Subramanian Gopi Subramanian
Author Profile Icon Gopi Subramanian
Gopi Subramanian
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Table of Contents (9) Chapters Close

Preface 1. Association Rule Mining 2. Fuzzy Logic Induced Content-Based Recommendation FREE CHAPTER 3. Collaborative Filtering 4. Taming Time Series Data Using Deep Neural Networks 5. Twitter Text Sentiment Classification Using Kernel Density Estimates 6. Record Linkage - Stochastic and Machine Learning Approaches 7. Streaming Data Clustering Analysis in R 8. Analyze and Understand Networks Using R

Fuzzy Logic Induced Content-Based Recommendation

When a friend comes to you for a movie recommendation, you don't arbitrarily start shooting movie names. You try to suggest movies while keeping in mind your friend's tastes. Content-based recommendation systems try to mimic the exact same process. Consider a scenario in which a user is browsing through a list of products. Given a set of products and the associated product properties, when a person views a particular product, content-based recommendation systems can generate a subset of products with similar properties to the one currently being viewed by the user. Typical content-based recommendation systems tend to also include the user profile. In this chapter, however, we will not be including the user profiles. We will be working solely with the item/product profiles. Content-based recommendation systems are also...

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R Data Analysis Projects
Published in: Nov 2017
Publisher: Packt
ISBN-13: 9781788621878
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