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Abstract: This paper presents a scalable architecture for a multi search engine for web documents with multiple cluster algorithms (MSEEC[16]). Querying multiple primary search engines in the Internet (or in an intranet) can increase information coverage but may result in an overwhelming amount of matching documents. In this paper we use clustering techniques to find a set of similar documents which are presented to the user by a suitable cluster title. The scalable and modular architecture of our... (Update)
Context of citations to this paper: More
...as the clustering algorithm. A different approach to finding similarity measure between documents was introduced in Grouper [2] and MSEEC [7] systems. Both of these discover phrases shared by document references in the search results and perform clustering according to this...
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BibTeX entry: (Update)
Hannappel, P., Klapsing, R., Neumann, G.: MSEEC - a multi search engine with multiple clustering. In: Proceedings of the 99 Information Resources Management Association International Conference, Hershey, Pennsylvania (1999) http://citeseer.ist.psu.edu/hannappel99mseec.html More
@inproceedings{ hannappel99mseec,
author = "Peter Hannappel and Reinhold Klapsing and Gustaf Neumann",
title = "{MSEEC} - A Multi Search Engine with Multiple Clustering",
booktitle = "Proceedings of the 99 Information Resources Management Association International Conference",
month = "May",
address = "Hershey, Pennsylvania",
year = "1999",
url = "citeseer.ist.psu.edu/hannappel99mseec.html" }
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