Pregled bibliografske jedinice broj: 596976
Extending RapidMiner with recommender systems algorithms
Extending RapidMiner with recommender systems algorithms // Proceedings of the 3rd RapidMiner Community Meeting and Conference (RCOMM 2012) / Ficher, Simon ; Mierswa, Ingo (ur.).
Aachen: Shaker, 2012. str. 63-74 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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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, 2012, 63-74
ISBN
978-3-8440-0995-8
Skup
RapidMiner Community Meeting and Conference (RCOMM 2012)
Mjesto i datum
Budimpešta, Mađarska, 28.08.2012. - 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