We study the problem of efficiently computing diverse query results in online shopping applications, where users specify queries through a form interface that allows a mix of stru...
Erik Vee, Utkarsh Srivastava, Jayavel Shanmugasund...
Data collections often have inconsistencies that arise due to a variety of reasons, and it is desirable to be able to identify and resolve them efficiently. Set similarity queries ...
Marios Hadjieleftheriou, Amit Chandel, Nick Koudas...
In high-dimensional and complex metric spaces, determining the nearest neighbor (NN) of a query object ? can be a very expensive task, because of the poor partitioning operated by...
Probabilistic feature relevance learning (PFRL) is an effective technique for adaptively computing local feature relevance for content-based image retrieval. It however becomes le...
— Keyword search on relational databases provides users with insights that they can not easily observe using the traditional RDBMS techniques. Here, an l-keyword query is speciï¬...