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3. How does it work? Content-based recommendation User-behaviour-based recommendation  4. How to apply it to your website?  Third-party service  Do it your own, coursera website  https://articles.uie.com/recommendation_systems/ http://fortune.com/2012/07/30/amazons-recommendation-secret/ https://www.quora.com/How-much-sales-lift-is-attributed-to-Amazons-recommendation-engine http://glinden.blogspot.com/2006/12/35-of-sales-from-recommendations.html https://articles.uie.com/recommendation_systems/ https://www.quora.com/What-are-the-benefits-of-using-product-recommendations-on-my-e-commerce-site

Websites of all types should consider these before discounting the use of a recommender engine. The future of the web is helping people shop and experience sites in a uniquely personal way for them; whether the website is e-commerce, media, social network, or search engine, this is a win-win situation for both the users and the site owners (or store owners, in the case of e-commerce). One way to do this? Utilising a recommender engine. A recommendation engine, also known as a recommender system, is software that analyses available data (user behaviours, product properties, etc) to make suggestions for something that a website user might be interested in, such as a book, a video or a job, among other possibilities. Amazon was one of the first sites to use a recommendation system. Recommended product from Amazon website. Websites have a lot to gain in using a recommender engine, including: Maybe change Search is hard for users, discovery/exploration is easy to