Type of Publication: Journal Articles
Authors: Asaf Shabtai,
Title: Dynamic Latent Expertise Mining in Social Networks
Name of the Journal: IEEE Internet Comput. (USA)
Year: 2014
Volume: 18
Issue: 5
Pages: 20 - 7
Abstract: With more individuals using social networks as well as a wider range of activities available by these platforms, there is a growing need to develop knowledge-extraction methods. This article presents ExaMine, a system for identifying expertise within a user's social network connections. During the learning phase, the system mines the activities associated with each connection to generate profiles. When the user browses the Web, the system retrieves an ordered list of connections for any viewed webpage. It then uses a classification process to identify these connections as experts on the webpage's dynamic topics of the webpage according to a classification process.
Keywords: classification;data mining;information retrieval;learning (artificial intelligence);online front-ends;social networking (online); ,
Last Updated: 1/14/2016 12:00:00 AM
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