Extending RapidMiner with recommender systems algorithms (CROSBI ID 590383)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Mihelčić, Matej ; Antulov-Fantulin, Nino ; Bošnjak, Matko ; Šmuc, Tomislav ;
engleski
Extending RapidMiner with recommender systems algorithms
Recommender systems are ubiquitous in today's information overoaded world. They help users to find and select products from a huge number available in various sources. RapidMiner can be used to construct various information filtering workflows using various data mining techniques. However, it does not explicitly support typical recommendation tasks. In this paper we present a RapidMiner Recommender Extension, developed in order to embed some of the state-of-the-art recommendation techniques into RapidMiner. We present the functionality of the extension, along with examples of diverse recommender system implementations. Integration of the extension with RapidAnalytics, which allows seamless construction of production level recommender systems, is demonstrated.
recommendation systems; data mining; RapidMiner extension
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Podaci o prilogu
63-74.
2012.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of the 3rd RapidMiner Community Meeting and Conference (RCOMM 2012)
Ficher, Simon ; Mierswa, Ingo
Aachen: Shaker
978-3-8440-0995-8
Podaci o skupu
RapidMiner Community Meeting and Conference (RCOMM 2012)
predavanje
28.08.2012-31.08.2012
Budimpešta, Mađarska