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...
The paper presents an approach to combine knowledge from memory and brain sciences with information retrieval research in the design of Web agents. An information retrieval agent f...
Implicit query systems examine a document and automatically conduct searches for the most relevant information. In this paper, we offer three contributions to implicit query resea...
We have used a general purpose data mining tool to determine whether we can find any ‘golden nuggets’ in the web access logs of a large academic web site. Our goal was to use...
This paper presents a new method that uses orthogonalized features for time series clustering and classification. To cluster or classify time series data, either original data or...