Context modeling and discovery using vector space bases
Massimo Melucci · 2005
In this paper, context is modeled by vector space bases and its evolution is modeled by linear transformations from one base to another. Each document or query can be associated to a distinct base, which corresponds to one context. Also, algorithms are proposed to discover contexts from document, query or groups or them. Linear algebra can thus by employed in a mathematical framework to process context, its evolution and application.