Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
393408 | Information Sciences | 2013 | 13 Pages |
Abstract
Social applications have been growing in popularity in recent years. In order to recommend suitable and attractive social applications, an efficient recommendation system, considering the popularity and reputation of an application as well as the preferences and social relationships of a user, is proposed. By using Facebook as a test platform, the experiment shows that our model outperforms other methodologies and indicates that social relationships play a more important role than the preferences of a user and the popularity of an application.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Yung-Ming Li, Han-Wen Hsiao, Yi-Lin Lee,