On the real-time web as a source of recommendation knowledge

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dc.contributor.author Garcia Esparza, Sandra
dc.contributor.author O'Mahony, Michael P.
dc.contributor.author Smyth, Barry
dc.date.accessioned 2010-10-18T16:17:48Z
dc.date.available 2010-10-18T16:17:48Z
dc.date.copyright 2010 ACM en
dc.date.issued 2010-09
dc.identifier.isbn 978-1-4503-0442-9
dc.identifier.uri http://hdl.handle.net/10197/2521
dc.description Poster presented at the 4th ACM Conference on Recommender Systems (RecSys 2010), Barcelona, Spain, September 26-30, 2010 en
dc.description.abstract The so-called real-time web (RTW) is a web of opinions, comments, and personal viewpoints, often expressed in the form of short, 140-character text messages providing abbreviated and personalized commentary in real-time. Twitter is undoubtedly the king of the RTW. It boasts 100+ million users and generates in the region of 50m tweets per day. This RTW data is far from the structured data (ratings, product features, etc.) familiar to recommender systems research, but it is useful to consider its applicability to recommendation scenarios. In this short paper we describe an experiment to look at harnessing the real-time opinions of movie fans, expressed through the Twitter-like short textual reviews available on the Blippr service (www.blippr.com). In particular we describe how users and movies can be represented from the terms used in their associated reviews and describe a number of experiments to highlight the recommendation potential of this RTW data-source and approach. en
dc.description.sponsorship Science Foundation Ireland en
dc.format.extent 856296 bytes
dc.format.mimetype application/pdf
dc.language.iso en en
dc.publisher ACM en
dc.relation.ispartof RecSys'10 : proceedings of the 4th ACM Conference on Recommender Systems, Barcelona, Spain, September 26-30, 2010 en
dc.relation.requires CLARITY Research Collection en
dc.subject Algorithms en
dc.subject Experimentation en
dc.subject.lcsh Recommender systems (Information filtering) en
dc.subject.lcsh Social media en
dc.subject.lcsh Blogs en
dc.title On the real-time web as a source of recommendation knowledge en
dc.type Conference Publication en
dc.internal.availability Full text available en
dc.internal.webversions http://dx.doi.org/10.1145/1864708.1864773 en
dc.status Peer reviewed en
dc.identifier.doi 10.1145/1864708.1864773
dc.neeo.contributor Garcia Esparza|Sandra|aut| en
dc.neeo.contributor O'Mahony|Michael P.|aut| en
dc.neeo.contributor Smyth|Barry|aut| en
dc.description.admin ti SB. 15/10/2010 en

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