In this paper we propose a completely unsupervised method for open-domain entity extraction and clustering over query logs. The underlying hypothesis is that classes defined by mi...
This work addresses two common problems in search, frequently occurring with underspecified user queries: the top-ranked results for such queries may not contain documents relevan...
Knowledge about user goals is crucial for realizing the vision of intelligent agents acting upon user intent on the web. In a departure from existing approaches, this paper propos...
Markus Strohmaier, Peter Prettenhofer, Mark Kr&oum...
The goal of this work is to integrate query similarity metrics as features into a dense model that can be trained on large amounts of query log data, in order to rank query rewrit...
Fabio De Bona, Stefan Riezler, Keith Hall, Massimi...
While current search engines serve known-item search such as homepage finding very well, they generally cannot support exploratory search effectively. In exploratory search, user...
Xuanhui Wang, Bin Tan, Azadeh Shakery, ChengXiang ...