A model for a collaborative recommender system for multimedia learning material

Author	dc.contributor.author	Baloian Tataryan, Nelson
Author	dc.contributor.author	Galdames, Patricio	es_CL
Author	dc.contributor.author	Collazos, César A.	es_CL
Author	dc.contributor.author	Guerrero, Luis A.	es_CL
Admission date	dc.date.accessioned	2007-05-04T15:13:06Z
Available date	dc.date.available	2007-05-04T15:13:06Z
Publication date	dc.date.issued	2004
Cita de ítem	dc.identifier.citation	GROUPWARE: DESIGN, IMPLEMENTATION, AND USE, PROCEEDINGS LECTURE NOTES IN COMPUTER SCIENCE 3198: 281-288 2004	en
Identifier	dc.identifier.issn	0302-9743
Identifier	dc.identifier.uri	https://repositorio.uchile.cl/handle/2250/124540
Abstract	dc.description.abstract	In a cluster of many servers containing heterogeneous multimedia learning material and serving users with different backgrounds (e.g. language, interests, previous knowledge, hardware and connectivity) it may be difficult for the learners to find a piece of material which fit their needs. This is the case of the COLDEX project. Recommender systems have been used to help people sift through all the available information to find that most valuable to them. We propose a recommender system, which suggest multimedia learning material based on the learner's background preferences as well as the available hardware and software that he/she has.	en
Lenguage	dc.language.iso	en	en
Publisher	dc.publisher	SPRINGER-VERLAG BERLIN	en
Título	dc.title	A model for a collaborative recommender system for multimedia learning material	en
Document type	dc.type	Artículo de revista