Title :
Comparison of Different Recommendation Methods for an e-Commerce Application
Author :
Sobecki, Janusz ; Piwowar, Krzysztof
Author_Institution :
Inst. of Inf., Wroclaw Univ. of Technol., Wroclaw, Poland
Abstract :
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.
Keywords :
Internet; electronic commerce; information filters; MovieLens data set; Web-based gift recommendation systems; e-commerce; recommendation systems; Application software; Collaboration; Computer science; Database systems; Deductive databases; Demography; Filtering; Informatics; System testing; Technology management;
Conference_Titel :
Intelligent Information and Database Systems, 2009. ACIIDS 2009. First Asian Conference on
Conference_Location :
Dong Hoi
Print_ISBN :
978-0-7695-3580-7
DOI :
10.1109/ACIIDS.2009.43
