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

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