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Type of Document Master's Thesis Author Batalagundu Viswanathan, Arvind , Mr URN etd-05112007-112917 Title Bootstrapping Referral Systems With Social Network Information Degree Master of Science Graduate Program Computer Science Advisory Committee
Advisor Name Title Dr. Munindar P. Singh Committee Chair Dr. Edward Gehringer Committee Member Dr. Laurie Williams Committee Member Keywords
- social networking sites
- referral systems
- bootstrapping
Date of Defense 2007-05-04 Availability unrestricted Abstract This thesis addresses the challenge of facilitating human interactions in solvingproblems. To this end, it assigns an agent to each user, and models a social network as a
multiagent system. A user's agent helps them by sending out and responding to queries
on their behalf. Each agent makes its decisions based on its models of the expertise and
trustworthiness of other agents. However, such models are not trivial to construct and
maintain. This thesis develops an approach wherein the models are seeded based upon
information extracted from the user's emails and from existing social networking sites. The
main contribution of this thesis is in the specification of heuristics by which expertise and
trustworthiness can be computed. It also provides a general schema and methodology by
which additional sources of social information can be incorporated.
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