A hybrid movie recommender system based on neural networks

Christakou, C; Stafylopatis, A

dc.contributor.author	Christakou, C	en
dc.contributor.author	Stafylopatis, A	en
dc.date.accessioned	2014-03-01T02:43:03Z
dc.date.available	2014-03-01T02:43:03Z
dc.date.issued	2005	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/31203
dc.subject	Collaborative filtering	en
dc.subject	Content-based filtering	en
dc.subject	Hybrid system	en
dc.subject	Recommender	en
dc.subject.other	Artificial intelligence	en
dc.subject.other	Data structures	en
dc.subject.other	Information retrieval	en
dc.subject.other	Internet	en
dc.subject.other	Neural networks	en
dc.subject.other	Problem solving	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	Computer programming	en
dc.title	A hybrid movie recommender system based on neural networks	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ISDA.2005.9	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ISDA.2005.9	en
heal.identifier.secondary	1578834	en
heal.publicationDate	2005	en
heal.abstract	Recently, there has been a lot of speculation among the members of the artificial intelligence community concerning the way AI can help with the problem of successful information search in the reservoirs of knowledge of Internet. Recommender systems provide a solution to this problem by giving individualized recommendations. Content-based and Collaborative Filtering are usually applied to predict these recommendations. A combination of the results of these two techniques is used in this work in order to construct a system that provides more precise recommendations concerning movies. The MovieLens data set was used to test the proposed hybrid system. © 2005 IEEE.	en
heal.journalName	Proceedings - 5th International Conference on Intelligent Systems Design and Applications 2005, ISDA '05	en
dc.identifier.doi	10.1109/ISDA.2005.9	en
dc.identifier.volume	2005	en
dc.identifier.spage	500	en
dc.identifier.epage	505	en