Recommendation algorithms with maximum prediction
quality
Scenario
Recommendation engines (REs) are increasingly being used in e-commerce for product
recommendations. Recommendation algorithms calculate and automatically recommend
products on the basis of product detail views opened by visitors to web shops. This
maximises the user's activity (number of views opened) and the success (sales, turnover).
Developing powerful algorithms for REs is currently one of the most popular areas of
research focus in data mining.
