Most current image retrieval systems and commercial search engines use mainly text annotations to index and retrieve WWW images. This research explores the use of machine learning...
The problem of representing text documents within an Information Retrieval system is formulated as an analogy to the problem of representing the quantum states of a physical syste...
Alvaro Francisco Huertas-Rosero, Leif Azzopardi, C...
While participating in the HARD track our first question was, what an IR-application should look like that takes into account preference meta-data from the user, without the need ...
We use a combination of proven methods from time series analysis and machine learning to explore the relationship between temporal and semantic similarity in web query logs; we di...
Bing Liu 0003, Rosie Jones, Kristina Lisa Klinkner
We present a method of searching text collections that takes advantage of hierarchrical information within documents and integrates searches of structured and unstructured data. W...
M. Catherine McCabe, Jinho Lee, Abdur Chowdhury, D...