Improving Web Search using Trust and Social Networks
This event took place on Wednesday 25 October 2006 at 11:30
Tom Heath KMi, The Open University
Conventional search engines treat all users the same. Relevance is seen as a relationship between a query and a resource, ignoring aspects of the user's information need that are not explicit in the query. This contrasts with offline information seeking, where people frequently use social networks of known individuals as a source of information and as a basis for assessing its relevance. In this presentation I will outline our approach to personalised information seeking, based on computing trust relationships between the user and members of their social networks as a means to rank and filter resources. Results of an empirical study underlying this approach will be presented, followed by a demonstration of parts of the infrastructure through which our approach will be realised.
This event took place on Wednesday 25 October 2006 at 11:30
Conventional search engines treat all users the same. Relevance is seen as a relationship between a query and a resource, ignoring aspects of the user's information need that are not explicit in the query. This contrasts with offline information seeking, where people frequently use social networks of known individuals as a source of information and as a basis for assessing its relevance. In this presentation I will outline our approach to personalised information seeking, based on computing trust relationships between the user and members of their social networks as a means to rank and filter resources. Results of an empirical study underlying this approach will be presented, followed by a demonstration of parts of the infrastructure through which our approach will be realised.
Future Internet
KnowledgeManagementMultimedia &
Information SystemsNarrative
HypermediaNew Media SystemsSemantic Web &
Knowledge ServicesSocial Software
Social Software is...
Interacting with other people not only forms the core of human social and psychological experience, but also lies at the centre of what makes the internet such a rich, powerful and exciting collection of knowledge media. We are especially interested in what happens when such interactions take place on a very large scale -- not only because we work regularly with tens of thousands of distance learners at the Open University, but also because it is evident that being part of a crowd in real life possesses a certain 'buzz' of its own, and poses a natural challenge. Different nuances emerge in different user contexts, so we choose to investigate the contexts of work, learning and play to better understand the trade-offs involved in designing effective large-scale social software for multiple purposes.
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