A parallel backward inference engine for production systems.

Abu-Suod, Saleh M


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Expert finding is a challenging research topic due to fast paced technological development resulting in changes in people’s expertise areas in time. However, the majority of the studies in the literature about expert finding systems do not take into account such temporal changes. For example, probabilistic models, which are widely used in this domain, are based on word or term associations between queries and documents. On the other hand, separated author-document graphs, which are used as baseline approach...
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In this thesis, we present a hypergraph based user modeling framework to aggregate partial profiles of the individual and obtain a complete, semantically enriched, multi-domain user model. We also show that the constructed user model can be used to support different personalization services including recommendation. We evaluated the user model against datasets consisting of user's social accounts including Facebook, Twitter, LinkedIn and Stack Overflow. The evaluation results confirmed that the proposed use...
Citation Formats
S. M. Abu-Suod, “A parallel backward inference engine for production systems.,” Ph.D. - Doctoral Program, Middle East Technical University, 1992.