We describe a machine learning approach for predicting sponsored search ad relevance. Our baseline model incorporates basic features of text overlap and we then extend the model t...
Dustin Hillard, Stefan Schroedl, Eren Manavoglu, H...
A statistical correlation model for image retrieval is proposed. This model captures the semantic relationships among images in a database from simple statistics of userprovided r...
We present a virtual environment application that allows users to access embedded information within an immersive virtual space. Due to the richness and complexity of this environ...
Geographical context is required of many information retrieval tasks in which the target of the search may be documents, images or records which are referenced to geographical spac...
Christopher B. Jones, Harith Alani, Douglas Tudhop...
This document describes the CLIPS experiments in the CLEF 2005 campaign. We used a surface-syntactic parser in order to extract new indexing terms. These terms are considered synta...