Alumni Member
Tom Heath (Alumni) 
Research Student
My PhD research focused on using the semantic web to support recommendation-seeking in social networks. Specifically it aimed to: understand how people use word of mouth within their social networks to locate information or explore particular topics; model these processes so they can be replicated in an online environment; build semantic web-based systems that support people in these locating and exploring tasks by making use of their social context.
Keys: semantic web, trust, social networks, recommender systems, known person recommendation, user experience, online tasks, user context, personal context, revyu, hoonoh
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Publications
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