Add to ORKGThis paper presents a scalable architecture for a multi search engine for web documents with multiple cluster algorithms (MSEEC[12]). Querying search engines in the web may result in an overwhelming amount of matching documents. Clustering techniques are used to find a set of similar documents which are presented using a suitable cluster title. The scalable and modular architecture of MSEEC allows to process information with multiple cluster algorithms to present alternative clusters and the related cluster title to the user. This paper presents as well a novel clustering technique that is based on the LZW compression method.
This paper describes Armil, a meta-search engine that groups into disjoint labelled clusters the Web...
In this paper, we propose a new approach to clustering e-commerce search engines (ESEs) on the Web. ...
Abstract—As resources become more and more available on the Web, so the difficulties associated with...
With each passing day, the volume of information on WWW is increasing enormously which makes very di...
The application of clustering to Web search engine technology is a novel approach that offers struct...
International audienceCurrent Web search engines return long lists of ranked documents that users ar...
This thesis presents new methods for classification and thematic grouping of billions of web pages, ...
As the storage capacity and the processing speed of search engine is growing to keep up with the con...
We develop a new algorithm for clustering search results. Differently from many other clustering sys...
Abstract. Clustering has been demonstrated as a feasible way to explore the contents of document col...
Yahoo!Clusty1 is a Clustering Meta-search Engine (MSE) that allows users to send queries to Yahoo!. ...
The process of clustering documents in a manner which produces accurate and compact clusters becomes...
The paper presents a web search result clustering algorithm that was integrated in to a desktop appl...
Typically, search engines are low precision in response to a query, retrieving lots of useless web p...
Ameta-search engine acts as an agent for the participant search engines. It receives queries from us...
This paper describes Armil, a meta-search engine that groups into disjoint labelled clusters the Web...
In this paper, we propose a new approach to clustering e-commerce search engines (ESEs) on the Web. ...
Abstract—As resources become more and more available on the Web, so the difficulties associated with...
With each passing day, the volume of information on WWW is increasing enormously which makes very di...
The application of clustering to Web search engine technology is a novel approach that offers struct...
International audienceCurrent Web search engines return long lists of ranked documents that users ar...
This thesis presents new methods for classification and thematic grouping of billions of web pages, ...
As the storage capacity and the processing speed of search engine is growing to keep up with the con...
We develop a new algorithm for clustering search results. Differently from many other clustering sys...
Abstract. Clustering has been demonstrated as a feasible way to explore the contents of document col...
Yahoo!Clusty1 is a Clustering Meta-search Engine (MSE) that allows users to send queries to Yahoo!. ...
The process of clustering documents in a manner which produces accurate and compact clusters becomes...
The paper presents a web search result clustering algorithm that was integrated in to a desktop appl...
Typically, search engines are low precision in response to a query, retrieving lots of useless web p...
Ameta-search engine acts as an agent for the participant search engines. It receives queries from us...
This paper describes Armil, a meta-search engine that groups into disjoint labelled clusters the Web...
In this paper, we propose a new approach to clustering e-commerce search engines (ESEs) on the Web. ...
Abstract—As resources become more and more available on the Web, so the difficulties associated with...