To address this limitation of context-based clustering, we first identify common types of information (main objects and their attributes) represented in listings and apply customized clustering for these types.
we define a semantic model to explicitly represent these information types, and based on the semantic model, develop two components to improve clustering -a shallow semantic parser and listing-focused clustering module.