e-Commerce is one of the most important application of recommendation systems (RS). In this paper we examine several recommendation methods for application in web-based gift recommendation systems. These methods were verified experimentally using MovieLens data set as well as data gathered during tests with the implemented SzukamCzegos.pl system.
['Janusz Sobecki', 'Krzysztof Piwowar']
Comparison of Different Recommendation Methods for an e-Commerce Application