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Extending RapidMiner with recommender systems algorithms


Mihelčić, Matej; Antulov-Fantulin, Nino; Bošnjak, Matko; Šmuc, Tomislav;
Extending RapidMiner with recommender systems algorithms // Proceedings of the 3rd RapidMiner Community Meeting and Conference (RCOMM 2012) / Ficher, Simon ; Mierswa, Ingo (ur.).
Aachen: Shaker Verlag, 2012. str. 63-74 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


Naslov
Extending RapidMiner with recommender systems algorithms

Autori
Mihelčić, Matej ; Antulov-Fantulin, Nino ; Bošnjak, Matko ; Šmuc, Tomislav ;

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 3rd RapidMiner Community Meeting and Conference (RCOMM 2012) / Ficher, Simon ; Mierswa, Ingo - Aachen : Shaker Verlag, 2012, 63-74

ISBN
978-3-8440-0995-8

Skup
RapidMiner Community Meeting and Conference (RCOMM 2012)

Mjesto i datum
Budimpešta, Mađarska, 28-31.08.2012

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Recommendation systems; data mining; RapidMiner extension

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA


Ustanove
Institut "Ruđer Bošković", Zagreb