A hybrid movie recommender system based on neural networks

Christakou, C; Vrettos, S; Stafylopatis, A

dc.contributor.author	Christakou, C	en
dc.contributor.author	Vrettos, S	en
dc.contributor.author	Stafylopatis, A	en
dc.date.accessioned	2014-03-01T01:25:41Z
dc.date.available	2014-03-01T01:25:41Z
dc.date.issued	2007	en
dc.identifier.issn	0218-2130	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/17723
dc.subject	Collaborative filtering	en
dc.subject	Content-based filtering	en
dc.subject	Hybrid systems	en
dc.subject	Recommender	en
dc.subject.classification	Computer Science, Artificial Intelligence	en
dc.subject.classification	Computer Science, Interdisciplinary Applications	en
dc.subject.other	Boolean algebra	en
dc.subject.other	Fuzzy logic	en
dc.subject.other	Information systems	en
dc.subject.other	Mathematical operators	en
dc.subject.other	Collaborative filtering	en
dc.subject.other	Content-based filtering	en
dc.subject.other	Hybrid systems	en
dc.subject.other	Recommenders	en
dc.subject.other	Neural networks	en
dc.title	A hybrid movie recommender system based on neural networks	en
heal.type	journalArticle	en
heal.identifier.primary	10.1142/S0218213007003540	en
heal.identifier.secondary	http://dx.doi.org/10.1142/S0218213007003540	en
heal.language	English	en
heal.publicationDate	2007	en
heal.abstract	Recommender systems offer a solution to the problem of successful information search in the knowledge reservoirs of the Internet by providing individualized recommendations. Content-based and Collaborative Filtering are usually applied to predict recommendations. A combination of the results of the above techniques is used in this work to construct a system that provides precise recommendations concerning movies. The content filtering part of the system is based on trained neural networks representing individual user preferences. Filtering results are combined using Boolean and fuzzy aggregation operators. The proposed hybrid system was tested on the MovieLens data yielding high accuracy predictions. © World Scientific Publishing Company.	en
heal.publisher	WORLD SCIENTIFIC PUBL CO PTE LTD	en
heal.journalName	International Journal on Artificial Intelligence Tools	en
dc.identifier.doi	10.1142/S0218213007003540	en
dc.identifier.isi	ISI:000251390300002	en
dc.identifier.volume	16	en
dc.identifier.issue	5	en
dc.identifier.spage	771	en
dc.identifier.epage	792	en