The aim of our research is the improvement of Boolean search with query expansion using lexical ontologies and user feedback. User studies strongly suggest that standard search tec...
Relevance profiling is a general process for withindocument retrieval. Given a query, a profile of retrieval status values is computed by sliding a fixed sized window across a doc...
We describe an approach for constructing search spaces that consist of highly relevant web pages using similarities between the contents of linked web pages to represent their lin...
Aki Kobayashi, Kuangmin Tan, Katsunori Yamaoka, Yo...
Humans can e ectively navigate through large search spaces, enabling them to solve problems with daunting complexity. This is largely due to an ability to successfully distinguish ...
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...