Using Twitter to recommend real-time topical news

DC FieldValueLanguage
dc.contributor.authorPhelan, Owen
dc.contributor.authorMcCarthy, Kevin
dc.contributor.authorSmyth, Barry
dc.date.accessioned2010-03-29T15:35:33Z
dc.date.available2010-03-29T15:35:33Z
dc.date.copyright2009 Association for Computing Machineryen
dc.date.issued2009-10
dc.identifier.isbn978-1-60558-435-5
dc.identifier.urihttp://hdl.handle.net/10197/1893
dc.descriptionPaper presented at the 3rd ACM Conference on Recommender Systems (RecSys 2009), New York City, NY, USA, 22-25 October 2009en
dc.description.abstractRecommending news stories to users, based on their preferences,has long been a favourite domain for recommender systems research. In this paper, we describe a novel approach to news recommendation that harnesses real-time micro-blogging activity, from a service such as Twitter, as the basis for promoting news stories from a user's favourite RSS feeds. A preliminary evaluation is carried out on an implementation of this technique that shows promising results.en
dc.description.sponsorshipScience Foundation Irelanden
dc.description.uriConference detailsen
dc.description.urihttp://recsys.acm.org/2009/en
dc.format.extent3551232 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherACMen
dc.relation.ispartofProceedings of the third ACM conference on Recommender systemsen
dc.subjectContent-based recommendationen
dc.subjectNews recommendationen
dc.subjectRealtime recommendationen
dc.subjectSocial recommendationen
dc.subjectTwitteren
dc.subject.lcshRecommender systems (Information filtering)en
dc.subject.lcshSocial mediaen
dc.subject.lcshReal-time data processingen
dc.subject.lcshTwitteren
dc.titleUsing Twitter to recommend real-time topical newsen
dc.typeConference Publicationen
dc.internal.availabilityFull text availableen
dc.statusPeer revieweden
dc.identifier.doi10.1145/1639714.1639794-
dc.neeo.contributorPhelan|Owen|aut|-
dc.neeo.contributorMcCarthy|Kevin|aut|-
dc.neeo.contributorSmyth|Barry|aut|-
item.fulltextWith Fulltext-
item.grantfulltextopen-
Appears in Collections:CLARITY Research Collection
Computer Science Research Collection
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