The backend database system is often the performance bottleneck when running web applications. A common approach to scale the database component is query result caching, but it fa...
Charles Garrod, Amit Manjhi, Anastasia Ailamaki, B...
In this paper we propose a novel document retrieval model in which text queries are augmented with multi-dimensional taxonomy restrictions. These restrictions may be relaxed at a ...
Marcus Fontoura, Vanja Josifovski, Ravi Kumar, Chr...
In this paper we present the AlvisP2P IR engine, which enables efficient retrieval with multi-keyword queries from a global document collection available in a P2P network. In such...
Toan Luu, Gleb Skobeltsyn, Fabius Klemm, Maroje Pu...
We describe XTreeNet, a distributed query dissemination engine which facilitates democratization of publishing and efficient data search among members of online communities with p...
Data clustering is a difficult problem due to the complex and heterogeneous natures of multidimensional data. To improve clustering accuracy, we propose a scheme to capture the lo...