Analysis of Meta-Search Engines using the Meta-Meta-Search tool SSIR

Manoj, Misra; Jacob, Elizabeth

doi:10.5120/149-270

Cited by 2 publications

(2 citation statements)

References 6 publications

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“…In [17], the authors also present a hybrid ranking method that combines several ranking algorithms, and the results show a dramatic improvement in the proposed combination method compared to other algorithms. In [18] also ranked URLs that were retrieved by the MSE.…”

Section: A Related Workmentioning

confidence: 99%

A Multi-Criteria Ranking Algorithm Based on the VIKOR Method for Meta-Search Engines

Jamshidi

Haji

Kamankesh

et al. 2019

JOIV : Int. J. Inform. Visualization

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Ranking of web pages is one of the most important parts of search engines and is, in fact, a process that through it the quality of a page is estimated by the search engine. In this study, a ranking algorithm based on VIKOR multi-criteria decisionmaking method for Meta-Search Engines (MSEs) was proposed. In this research, the considered MSE first will receive the suggested pages associated with the search term from eight search engines including, Teoma, Google, Yahoo!, AlltheWeb, AltaVista, Wisenut, ODP, MSN. The results, at most 10 first pages are selected from each search engine and creates the initial dataset contains 80 web pages. The proposed parser is then executed on these pages and the eight criteria including the rank of web page in the related search engine, access time, number of repetitions of search terms, positions of search term at the webpage, numbers of media at the webpage, the number of imports in the webpage, the number of incoming links, and the number of outgoing links are extracted from these web pages. Finally, by using the VIKOR method and these extracted criteria, web pages will rank and 10 top results will be provided for the user. To implement the proposed method, JAVA and MATLAB languages are used. In the experiments, the proposed method is implemented for a query and its ranking results have been compared in terms of accuracy with three famous search engine including Google, Yahoo, and MSN. The results of comparisons show that the proposed method offers higher accuracy.

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Section: A Related Workmentioning

confidence: 99%

A Multi-Criteria Ranking Algorithm Based on the VIKOR Method for Meta-Search Engines

Jamshidi

Haji

Kamankesh

et al. 2019

JOIV : Int. J. Inform. Visualization

View full text Add to dashboard Cite

show abstract

“…The original position of the URL in the respective engines is also displayed with each result. P-MSE can be used to create vertical MSEs and as an IR tool for studies like overlapping of Search Engines [23]. The query log and result cache from P-MSE based system can provide real web search data for IR studies, either as complementary or as an alternative to traditional data sets like TREC or FIRE.…”

Section: Fig 5: Ssir Web Sitementioning

confidence: 99%

Design and Development of a Programmable Meta Search Engine

Manoj¹,

Jacob²

2013

IJCA

Self Cite

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To the web user, a Meta Search Engine (MSE) appears much like a regular search engine (SE). MSE, unlike an SE does not have an index. Instead, it dynamically queries multiple search engines; extracts, fuses and re-ranks results and presents to users. Generally, an MSE is developed from scratch even if the focus is on improving fusion ranking, query modification or domain specific search. This paper proposes a programmable MSE with the help of a LISP-like language called T! for interfacing search sources and for modifying fused results. This enables easy construction and deployment of an MSE service. The Programmable-Meta Search Engine (P-MSE) provides, but is not limited to the following new features: construction of a domain specific vertical or general MSE by addition of dynamic web pages as front-end; a tool for fully automated test-run of various fusion algorithms and query modification schemes using a program or script capable of http-querying as front-end on real-time web; a programmable service where account holders can upload scripts and deploy meta search engines. The concept of P-MSE developed here, is showcased by the MSE called SSIR (SSIR for the Savvy Information Retriever).

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Analysis of Meta-Search Engines using the Meta-Meta-Search tool SSIR

Cited by 2 publications

References 6 publications

A Multi-Criteria Ranking Algorithm Based on the VIKOR Method for Meta-Search Engines

A Multi-Criteria Ranking Algorithm Based on the VIKOR Method for Meta-Search Engines

Design and Development of a Programmable Meta Search Engine

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