Effective product recommendation using the real-time web
|Title:||Effective product recommendation using the real-time web||Authors:||Garcia Esparza, Sandra
O'Mahony, Michael P.
|Permanent link:||http://hdl.handle.net/10197/2760||Date:||14-Dec-2010||Online since:||2011-02-15T12:57:35Z||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 highly personalized commentary in real-time. Today, Twitter is undoubtedly the king of the RTW. It boasts 190 million users and generates in the region of 65m tweets per day. This RTW data is far from the structured data (movie ratings, product features, etc.) that is familiar to recommender systems research but it is useful to consider its applicability to recommendation scenarios. In this paper we consider harnessing the real-time opinions of users, expressed through the Twitter-like short textual reviews available on the Blippr service (www.blippr.com). In particular we describe how users and products can be represented from the terms used in their associated reviews and describe experiments to highlight the recommendation potential of this RTW data-source and approach.||Funding Details:||Science Foundation Ireland||Type of material:||Conference Publication||Publisher:||Springer||Copyright (published version):||Springer-Verlag London Limited 2011||Keywords:||RTW; Real Time Web; Twitter; Blippr; Opinions; Recommendation scenarios||Subject LCSH:||Web 2.0
Recommender systems (Information filtering)
Online social networks
|DOI:||10.1007/978-0-85729-130-1_1||Other versions:||http://dx.doi.org/10.1007/978-0-85729-130-1_1||Language:||en||Status of Item:||Peer reviewed||Is part of:||Bramer, M., Petridis, M. and Hopgood, A. (eds.). Research and Development in Intelligent Systems XXVII : Incorporating Applications and Innovations in Intelligent Systems XVIII : Proceedings of AI-2010, The Thirtieth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence||Conference Details:||Paper presented at the Thirtieth SGAI International Conference on Artificial Intelligence (AI-2010), 14-16 December 2010, Cambridge, England, UK||ISBN:||978-0-85729-129-5|
|Appears in Collections:||Computer Science Research Collection|
Show full item record
Page view(s) 5290
This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.