Federated search (federated information retrieval or distributed information retrieval) is a
technique for searching multiple text collections simultaneously. Queries are submitted to a …

Modern techniques for distributed information retrieval use a set of documents sampled from
each server, but these samples have been underutilised in server selection. We describe a …

In federated information retrieval, a query is routed to multiple collections and a single
answer list is constructed by combining the results. Such metasearch provides a mechanism …

This paper develops algorithms for improved source selection in social sensing applications
that exploit social networks (such as Twitter, Flickr, or other mass dissemination networks) …

In distributed information retrieval, a wide range of techniques have been proposed for
choosing collections to interrogate. Many of these collection-selection techniques are based …

Distributed information retrieval (DIR), where a single broker coordinates retrieval from many
independent search services, has been extensively studied but typically without any …

Distributed information retrieval has pressing scalability concerns due to the growing
number of independent sources of on-line data and the emerging applications. A promising …

A single search interface to all a person's digital resources, such as email archives,
corporate databases, websites, and subscription services, is appealing but a central index of …

Previous evaluations of server selection methods for federated search have either used
metrics which are unconnected with user satisfaction, or have not been able to account for …

Metode clustering adalah proses menemukan kemiripan antara data berdasarkan
karakteristik yang ditemukan di dalam data, dan mengelompokkan objek data yang mirip ke …