Products and services recommendation systems in e-commerce. Recommendation methods, algorithms, and measures of their effectiveness
Products and services recommendation systems in e-commerce. Recommendation methods, algorithms, and measures of their effectiveness
Author(s): Dominik Kosieradzki, Mirosława LasekSubject(s): Economy
Published by: Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Keywords: recommendation systems; recommender systems; recommendation methods; recommendation algorithms; collaborative filtering; content-based filtering; memory-based algorithms; model-based algorithms; predictive accuracy metrics; classification accuracy metrics
Summary/Abstract: The article concerns products and services recommendation systems in ecommerce which have become increasingly important for both consumers and retailers. The methods used for the recommendation of products and services, as well as the algorithms used to implement them, are presented in the article. Particular attention was paid to the problems of testing the suitability of algorithms, along with the effectiveness measures of the applications of the methods and algorithms.
Journal: Informatyka Ekonomiczna
- Issue Year: 2014
- Issue No: 31
- Page Range: 304-317
- Page Count: 14
- Language: English