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

Server selection is an important subproblem in distributed information retrieval (DIR) but has
commonly been studied with collections of more or less uniform size and with more or less …

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 meta-search engine propagates user queries to its participant search engines following a
server selection strategy. To facilitate server selection, the meta-search engine must keep …

A distributed search system consists of a large number of autonomous search servers
logically connected in a peer-to-peer network. Each search server maintains a local index of …

As the web expands in data volume and in geographical distribution, centralized search
methods become inefficient, leading to increasing interest in cooperative information …

Personalization of search engine is a subject studied by various search engines, and is a
new tendency of search engines development. In this paper, from the perspective of …

This paper discusses about methodology to implement a search engine. Most of the
common techniques employed in search engine are based on the term frequency. To …

There are many powerful search engines on the Web in this era that assist data and
information searching and mining. However, using individual search engines suffer from a …