Top-d Rank Aggregation in Web Meta-search Engine

2010 ◽  
pp. 35-44 ◽  
Author(s):  
Qizhi Fang ◽  
Han Xiao ◽  
Shanfeng Zhu
Keyword(s):  
Search Engine ◽  
Rank Aggregation ◽  
Meta Search Engine ◽  
Meta Search

scholarly journals Implementation of meta search engine with different rank aggregation algorithms

2021 ◽  
Author(s):  
Sharjeel Arshad
Keyword(s):  
Performance Improvement ◽  
Search Engine ◽  
Search Engines ◽  
Rank Aggregation ◽  
Meta Search Engine ◽  
Single List ◽  
Meta Search

The development of a Meta Search engine has been described and the ranking of the queries has been accomplished by implementing four rank aggregation algorithms. Meta Search Engine is used to combine different lists for the same query by different search engines into a single list so as to return the most relevant results with a wider coverage in the quickest possible time. The performance improvement is achieved by testing four rank aggregation algorithms namely: 1) Linear 2) Exponential 3) Borda Fuse 4) Condorcet Fuse. The efficiency of each algorithm in terms of accuracy and time has been compared.

scholarly journals Implementation of meta search engine with different rank aggregation algorithms

2021 ◽  
Author(s):  
Sharjeel Arshad
Keyword(s):  
Performance Improvement ◽  
Search Engine ◽  
Search Engines ◽  
Rank Aggregation ◽  
Meta Search Engine ◽  
Single List ◽  
Meta Search

The development of a Meta Search engine has been described and the ranking of the queries has been accomplished by implementing four rank aggregation algorithms. Meta Search Engine is used to combine different lists for the same query by different search engines into a single list so as to return the most relevant results with a wider coverage in the quickest possible time. The performance improvement is achieved by testing four rank aggregation algorithms namely: 1) Linear 2) Exponential 3) Borda Fuse 4) Condorcet Fuse. The efficiency of each algorithm in terms of accuracy and time has been compared.

Improving Takuan to Analyze a Meta-Search Engine WS-BPEL Composition

2008 ◽  
Author(s):  
Manuel Palomo-Duarte ◽  
Antonio García-Domínguez ◽  
Inmaculada Medina-Bulo
Keyword(s):  
Search Engine ◽  
Meta Search Engine ◽  
Meta Search

Multi-agent Meta-search Engine Based on Domain Ontology

2007 ◽  
pp. 269-274 ◽  
Author(s):  
Marat Kanteev ◽  
Igor Minakov ◽  
George Rzevski ◽  
Petr Skobelev ◽  
Simon Volman
Keyword(s):  
Search Engine ◽  
Domain Ontology ◽  
Meta Search Engine ◽  
Multi Agent ◽  
Meta Search

Bibliographical Meta Search Engine for the Retrieval of Scientific Articles

2007 ◽  
pp. 458-461 ◽  
Author(s):  
Artur Gajek ◽  
Stefan Klink ◽  
Patrick Reuther ◽  
Bernd Walter ◽  
Alexander Weber
Keyword(s):  
Search Engine ◽  
Meta Search Engine ◽  
Meta Search

Classification of Authors for a Recommendation Process Integrated to a Scientific Meta-Search Engine

2020 ◽  
pp. 159-167
Author(s):  
Amelec Viloria ◽  
Tito Crissien ◽  
Omar Bonerge Pineda Lezama ◽  
Luciana Pertuz ◽  
Nataly Orellano ◽  
...  
Keyword(s):  
Search Engine ◽  
Meta Search Engine ◽  
Meta Search
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