DC Field | Value | Language |
---|---|---|
dc.contributor.author | Chung, Chin-Wan | ko |
dc.contributor.author | Lee, Jong-Ryul | ko |
dc.date.accessioned | 2014-08-28T07:24:15Z | - |
dc.date.available | 2014-08-28T07:24:15Z | - |
dc.date.created | 2014-02-13 | - |
dc.date.created | 2014-02-13 | - |
dc.date.issued | 2014-04-09 | - |
dc.identifier.citation | 23rd International Conference on World Wide Web, WWW 2014, pp.793 - 798 | - |
dc.identifier.uri | http://hdl.handle.net/10203/188301 | - |
dc.description.abstract | For predicting the diffusion process of information, we introduce and analyze a new correlation between the information adoptions of users sharing a friend in online social networks. Based on the correlation, we propose a probabilistic model to estimate the probability of a user's adoption using the naive Bayes classifier. Next, we build a recommendation method using the probabilistic model. Finally, we demonstrate the effectiveness of the proposed method with the data from Flickr and Movielens which are well-known web services. For all cases in the experiments, the proposed method is more accurate than comparison methods. | - |
dc.language | English | - |
dc.publisher | Association for Computing Machinery, Inc | - |
dc.title | A New Correlation-based Information Diffusion Prediction | - |
dc.type | Conference | - |
dc.identifier.wosid | 000455947000238 | - |
dc.identifier.scopusid | 2-s2.0-84990875268 | - |
dc.type.rims | CONF | - |
dc.citation.beginningpage | 793 | - |
dc.citation.endingpage | 798 | - |
dc.citation.publicationname | 23rd International Conference on World Wide Web, WWW 2014 | - |
dc.identifier.conferencecountry | KO | - |
dc.identifier.conferencelocation | Seoul | - |
dc.identifier.doi | 10.1145/2567948.2579241 | - |
dc.embargo.liftdate | 9999-12-31 | - |
dc.embargo.terms | 9999-12-31 | - |
dc.contributor.localauthor | Chung, Chin-Wan | - |
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