This paper proposes an efficient relevance feedback based interactive model for keyword generation in sponsored search advertising. We formulate the ranking of relevant terms as a...
In this study we report how different interfaces for searching the internet changed the strategies and information opportunities of voters as they searched for political informati...
Scott P. Robertson, Christine E. Wania, George Abr...
The focus of this paper is on ENP-expressions that can be used for annotating ENP scores with user definable information. ENP is a music notation program written in Lisp and CLOS...
We use Wikipedia articles to semantically inform the generation of query models. To this end, we apply supervised machine learning to automatically link queries to Wikipedia artic...
We develop new techniques for time series classification based on hierarchical Bayesian generative models (called mixed-effect models) and the Fisher kernel derived from them. A k...