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Combining activity-evaluation information with NMF for trust-link prediction in social media
Citation
Matsutani, K and Kumano, M and Kimura, M and Saito, K and Ohara, K and Motoda, H, Combining activity-evaluation information with NMF for trust-link prediction in social media, Proceedings of the 2015 IEEE International Conference on Big Data, 29 October - 01 November 2015, Santa Clara, CA, USA, pp. 2263-2272. ISBN 9781479999255 (2015) [Refereed Conference Paper]
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Copyright Statement
Copyright 2015 IEEE
Official URL: http://cci.drexel.edu/bigdata/bigdata2015/
DOI: doi:10.1109/BigData.2015.7364015
Abstract
Acquiring a network of trust relations among users in social media sites, e.g., item-review sites, is important for analyzing users' behavior and efficiently finding reliable information on the Web. We address the problem of predicting trustlinks among users for an item-review site. Non-negative matrix factorization (NMF) methods have recently been shown useful for trust-link prediction in such a site where both link and activity information is available. Here, a user activity in an item-review site means posting a review and giving a rating for an item. In this paper, for better trust-link prediction, we propose a new NMF method that incorporates people's evaluation of users' activities as well as trust-links and users' activities themselves. We further apply it to an analysis of users' behavior. Using two real world item-review sites, we experimentally demonstrate the effectiveness of the proposed method.
Item Details
Item Type: | Refereed Conference Paper |
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Keywords: | social media mining, trust-link prediction, behavioral analysis, non-negative matrix factorization |
Research Division: | Information and Computing Sciences |
Research Group: | Library and information studies |
Research Field: | Social and community informatics |
Objective Division: | Information and Communication Services |
Objective Group: | Information services |
Objective Field: | Information services not elsewhere classified |
UTAS Author: | Motoda, H (Dr Hiroshi Motoda) |
ID Code: | 109997 |
Year Published: | 2015 |
Deposited By: | Information and Communication Technology |
Deposited On: | 2016-07-11 |
Last Modified: | 2017-11-13 |
Downloads: | 0 |
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