R: Mining Spatial, Text, Web, and Social Media Data

Chapter 7. Building a Retail Recommendation Engine

In this age of Internet, everything available over the Internet is not useful for everyone. Different companies and entities use different approaches to find out relevant content for their audiences. People started building algorithms to construct a relevance score, based on which recommendations could be built and suggested to the users. In my day to day life, every time I see an image on Google, 3-4 other images are recommended to me by Google, every time I look for some videos on YouTube, 10 more videos are recommended to me, every time I visit Amazon to buy some products, 5-6 products are recommended to me, and, every time I read one blog or article, a few more articles and blogs are recommended ...