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A neural network-based intelligent metasearch engine

Information Sciences, 1999
Abstract Determining the relevancy of web pages to a query term is basic to the working of any search engine. In this paper we present a neural network based algorithm to classify the relevancy of search results on a metasearch engine. The fast learning neural network technology used by us enables the metasearch engine to handle a query term in a ...
Subhash Kak, Bo Shu
openaire   +2 more sources

Experiences with selecting search engines using metasearch

ACM Transactions on Information Systems, 1997
Search engines are among the most useful and high-profile resources on the Internet. The problem of finding information on the Internet has been replaced with the problem of knowing where search engines are, what they are designed to retrieve, and how to use them.
Adele E. Howe, Daniel Dreilinger
openaire   +2 more sources

Assessing metasearch engine performance

Online Information Review, 2009
PurposeThe purpose of this paper is to present a new method for evaluating the performance of metasearch engines (MSEs), which was used in the reported study to investigate which of eight popular MSEs (Clusty, Dogpile, Excite, Mamma, MetaCrawler, Search.com, WebCrawler and Webfetch) is the best.Design/methodology/approachThis research evaluated the ...
openaire   +2 more sources

KhojYantra: an integrated MetaSearch engine with classification, clustering and ranking

Proceedings 2000 International Database Engineering and Applications Symposium (Cat. No.PR00789), 2002
Conventional search engines generally return a long ordered list of results which the users are forced to sift for getting relevant documents. It is envisaged that the search results can be greatly improved by integrating techniques, like ranking, classification and clustering.
R.K. Mishra, T. V. Prabhakar
openaire   +2 more sources

Design and implementation of an intelligent metasearch engine based on agent

International Journal of Agent-Oriented Software Engineering, 2007
It is difficult for users to search for information on the internet because of the rapid expanding of information resource. Traditional search engines cannot deal with that very well. Based on this situation, the paper presented agent and metasearch engine technology.
Liu Wei, Chen Jun-jie
openaire   +2 more sources

Measuring performance of metasearch engines to access information: an exploratory study based on precision metrics

Performance Measurement and Metrics
PurposeThis paper evaluates the precision of four metasearch engines (MSEs) – DuckDuckGo, Dogpile, Metacrawler and Startpage, to determine which metasearch engine exhibits the highest level of precision and to identify the metasearch engine that is most ...
Raj Kumar Bhardwaj   +2 more
semanticscholar   +1 more source

Rank aggregation algorithm using particle swarm optimization for metasearch engines

The 10th IEEE International Symposium on Signal Processing and Information Technology, 2010
Rank aggregation is the algorithm that generates a consensus ranking from a given set of rankings from different sources. Rank aggregation algorithm has been found in many applications in web including metasearch and spam fighting. The proposed rank aggregation algorithm is called footrule optimal aggregation (FOA) because it is based upon optimizing ...
T. Eltobely   +3 more
openaire   +2 more sources

SE-LEGO

Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval - SIGIR '03, 2003
Extended Abstract As a system that provides unified access to multiple existing search systems, a metasearch engine can alleviate ordinary users from the formidable task of identifying useful sources and searching them individually. At present, the largest metasearch engines such as ProFusion (www.profusion.com) and SavvySearch (www.search.com) can ...
Clement Yu   +6 more
openaire   +2 more sources

Using online relevance feedback to build effective personalized metasearch engine

Proceedings of the Second International Conference on Web Information Systems Engineering, 2001
Shanfeng Zhu   +3 more
semanticscholar   +3 more sources

Web metasearch engines

Online Information Review, 2007
Purpose – Metasearch engines (MSEs) which have been designed to solve problems of internet users in finding relevant resources are not seemingly as recognized as the other web search tools such as search engines (SEs) and directories. As a result, this paper aims to compare and evaluate some of them in terms of search features included in their ...
openaire   +2 more sources

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