Google, Yahoo and Bing Search Engines' Performance in the Persian Information Retrieval: A Fuzzy and Classical Evaluation

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

Abbasi Dashtaki N.; CHESHMEH SOHRABI M.

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: LIBRARIANSHIP AND INFORMATION ORGANIZATION STUDIES (JOURNAL OF NATIONAL STUDIES ON LIBRARIANSHIP AND INFORMATION ORGANIZATION) Year:2019 | Volume:30 | Issue:2 (118) Page(s): 96-111

Download Full-Text

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion

View:

1,319

Download:

Cites:

Information Journal Paper

Title

Google, Yahoo and Bing Search Engines' Performance in the Persian Information Retrieval: A Fuzzy and Classical Evaluation

Author(s)

Abbasi Dashtaki N. | CHESHMEH SOHRABI M. | Issue Writer Certificate

Keywords

Information retrievalQ2

Search enginesQ2

PerformanceQ1

Fuzzy evaluationQ1

Classical evaluationQ1

Abstract

Purpose: Evaluating the Fuzzy and classical Search engines' Performance in Persian Information retrieval to determine the false drop rate and select the best in retrieving the lowest duplicate records. Methodology: In this applied research, the semi-experimental, evaluative and comparative methods are adopted. Research samples are selected according to purposeful sampling, based on the popularity of Search engines. The data collection tool is a researcher-devised checklist with 20 questions. Findings: It is revealed that Google out performs Yahoo and Bing in both the fuzzy and Classical evaluations. The obtained precision ratio of the Fuzzy evaluation of Search engines is greater than of the Classical evaluation. In both evaluations, Google, Yahoo and Bing have the lowest rate of false drop, respectively. In the Fuzzy evaluation, this false drop ratio is less than of the Classical evaluation. Google has the lowest and Yahoo has the highest duplicate records' count. Conclusion: The obtained findings from the fuzzy and Classical evaluation reveal that Fuzzy evaluation increases the precision rate and reduces false drop in Search engines. Moreover the Fuzzy evaluation provides a more accurate and realistic precision and false drop rate by introducing a spectrum of relevance rate of retrieved records. It is recommended that researchers apply Fuzzy evaluation when evaluating the Search engines' Performance. In general, Google has better Performance than Bing and Yahoo based on three measured criteria. Consequently, users are advised to apply this search engine when searching for Persian information on the web to save time and money.

Cites

Performance of Search Engines and Specialized Medical Databases in the Field of Cancer

References

No record.

Cite

APA: Copy

Abbasi Dashtaki, N., & CHESHMEH SOHRABI, M.. (2019). Google, Yahoo and Bing Search Engines' Performance in the Persian Information Retrieval: A Fuzzy and Classical Evaluation. LIBRARIANSHIP AND INFORMATION ORGANIZATION STUDIES (JOURNAL OF NATIONAL STUDIES ON LIBRARIANSHIP AND INFORMATION ORGANIZATION), 30(2 (118) ), 96-111. SID. https://sid.ir/paper/224215/en

Vancouver: Copy

Abbasi Dashtaki N., CHESHMEH SOHRABI M.. Google, Yahoo and Bing Search Engines' Performance in the Persian Information Retrieval: A Fuzzy and Classical Evaluation. LIBRARIANSHIP AND INFORMATION ORGANIZATION STUDIES (JOURNAL OF NATIONAL STUDIES ON LIBRARIANSHIP AND INFORMATION ORGANIZATION)[Internet]. 2019;30(2 (118) ):96-111. Available from: https://sid.ir/paper/224215/en

IEEE: Copy

N. Abbasi Dashtaki, and M. CHESHMEH SOHRABI, “Google, Yahoo and Bing Search Engines' Performance in the Persian Information Retrieval: A Fuzzy and Classical Evaluation,” LIBRARIANSHIP AND INFORMATION ORGANIZATION STUDIES (JOURNAL OF NATIONAL STUDIES ON LIBRARIANSHIP AND INFORMATION ORGANIZATION), vol. 30, no. 2 (118) , pp. 96–111, 2019, [Online]. Available: https://sid.ir/paper/224215/en

Related Journal Papers