Collaborative Tagging and Rating-based Collaborative Filtering in a Classified Ads System (Collab-Ads)

Please use this identifier to cite or link to this item: http://dspace.cas.upm.edu.ph:8080/xmlui/handle/123456789/32

Full metadata record

DC Field	Value	Language
dc.contributor.advisor	Carpio, Avegail D.	-
dc.contributor.author	Castro, Monica K.	-
dc.date.accessioned	2015-07-24T11:49:36Z	-
dc.date.available	2015-07-24T11:49:36Z	-
dc.date.issued	2014-04	-
dc.identifier.uri	http://cas.upm.edu.ph:8080/xmlui/handle/123456789/32	-
dc.description.abstract	As Classified ads systems are growing more in trend than offline classified adver- tising, more resources are being created and thus creating a need for organization and improved ways for users to discover these resources. The Collaborative Tagging and Rating-Based Collaborative Filtering in a Clas- sified Ads (Collab-Ads) system addresses these needs by offering a way for users to tag or label resources and allow them to rate these resources to be able to generate recommendations.	en_US
dc.language.iso	en	en_US
dc.subject	collaborative tagging	en_US
dc.subject	collaborative filtering	en_US
dc.subject	slope one algorithm	en_US
dc.title	Collaborative Tagging and Rating-based Collaborative Filtering in a Classified Ads System (Collab-Ads)	en_US
dc.type	Thesis	en_US
Appears in Collections:	Computer Science SP

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