Aghaee, A., Ghaebi, A. & Kamran, M. (2015). Persian search engines efficiency: Views of postgraduate students. Librarianship and Information Organization Studies, 25(4), 101-113. [in Persian]
Ali, F. & Khusro, S. (2021). Content and link-structure perspective of ranking webpages: A review.
Computer Science Review, 40,100397.
https://doi.org/10.1016/j.cosrev.2021.100397
AlSobh, A., Al Oroud, A., Al-Kabi, M. N. & AlSmadi, I. (2010). A multilingual and location evaluation of search engines for websites and searched for keywords. Brazilian Journal of Information Science, 4(1), 2-17.
Bagherinasab, F. (2011). Investigation and ranking of Shi a Farsi websites based on the checklist designed by the criteria of Silberg, SMRT, and Action for Health.
Research on Information Science & Public Libraries, 17(2), 305-336. [in Persian]
Bakhshipour, M. (2021, April 28). Why the government failed in the search engine project. Mehr News Agency. https://www.mehrnews.com/news/5199066 [in Persian]
Baranchikov, A. I., Svirina, A. G., Grinchenko, N. N. & Sumenkov, N. A. (2018, June). A technique of increasing the efficiency of websites' ranking based on the spectral coefficient of the texts' readability. In
2018 7th Mediterranean Conference on Embedded Computing (MECO) (pp. 1-5). IEEE.
https://doi.org/10.1109/MECO.2018.8406044
Bouramoul, A., Kholladi, M. K. & Doan, B. L. (2011). Using context to improve the evaluation of information retrieval systems.
International Journal of Database Management Systems (IJDMS), 3(2), 22-39.
https://centralesupelec.hal.science/hal-00659052
Demirci, R. G., Kismir, V., & Bitirim, Y. (2007, May). An evaluation of popular search engines on finding turkish documents. In
Second International Conference on Internet and Web Applications and Services (ICIW'07) (pp. 61-61). IEEE.
https://doi.org/10.1109/ICIW.2007.15
Erfanmanesh, M. A. & Didegah, F. (2010). Evaluating function of Persian search engines on the web using correspondence analysis.
International Journal of Information Science and Management (IJISM), 8(2), 77-87. Retrieved from
https://ijism.isc.ac/article_698150_46533a159ff3ecf54ea95a49a4c70584.pdf
Farhadpour, M. & Khalaf Abadi, R. (2015). Qualitative evaluation of Iranian children and young adult's websites using Web-QEM model. Librarianship and Information Organization Studies, 26(2), 91-110. [in Persian]
Ghavidel, S. Niazmand, M. R. & Khaleghi, N. (2018). Usage of Iranian users of national and international search engines.
Journal of Sciences and Techniques of Information Management, 4(1), 65-89.
https://dorl.net/dor/20.1001.1.24766658.1397.4.1.5.0 or
https://doi.org/10.22091/stim.2018.2364.1162 [in Persian]
Golzardi, E., Meghdadi, M. & Qaderzadeh, A. B. (2013, December 19). Comparison of the performance of common search engines in searching Persian web pages. In Conference on Computer Engineering and Sustainable Development with a Focus on Computer Networks, Mashhad. [in Persian]
Gossen, T. (2016). Search engines for children: Search user interfaces and information-seeking behaviour. Springer Vieweg.
Gossen, T., Kotzyba, M., & Nürnberger, A. (2017). Search engine for children: User-centered design. Datenbank-Spektrum, 17(1), 61–67.
Gregurec, I. & Grd, P. (2012, September). Search Engine Optimization (SEO): Website analysis of selected faculties in Croatia. In Proceedings of Central European Conference on Information and Intelligent Systems (pp. 211-218).
Jalal, S. K. (2019). Exploring web link analysis of websites of Indian institute of technology.
DESIDOC Journal of Library & Information Technology, 39(1), 3-9.
https://doi.org/10.14429/djlit.39.1.13692
Khaki Farrokhad, M. S. (2021). Evaluation of Iranian search engines subject coverage in Comparison with Google by using Dewey Decimal Classification. Unpublished master's thesis. Ferdowsi University of Mashhad. [in persian]
Lambrecht, P. & Peter, M. K. (2022). The influence of digital assistants on search engine strategies: Recommendations for voice search optimization. In
Marketing and Smart Technologies: Proceedings of ICMarkTech 2021, Volume 2 (pp. 665-672). Singapore: Springer Singapore.
https://doi.org/10.1007/978-981-16-9272-7_55
Lewandowski, D. (2008). A three-year study on the freshness of web search engine databases.
Journal of Information Science, 34(6), 817-831.
https://doi.org/10.1177/0165551508089396
Lewandowski, D. & Schultheiß, S. (2023). Public awareness and attitudes towards search engine optimization.
Behaviour & Information Technology, 42(8), 1025-1044.
https://doi.org/10.1080/0144929X.2022.2056507
Loiacono, E.T., Watson, R. T. & Goodhue, D. L. (2002). WebQual: A measure of website quality. Marketing Theory and Applications, 13(3), 432-438.
Lopriore, G. (2022).
How and to what extent are e-consumer perceptions of website success reflected in basic website performance metrics? Master’s thesis, Université Cath Lique de Louvain.
http://hdl.handle.net/2078.1/thesis:33635
Luyt, B., Goh, D. & Lee, C.S. (2009). Searching locally: A comparison of Yehey! and Google.
Online Information Review, 33(3), 499-510.
https://doi.org/10.1108/14684520910969925
Macedo-Rouet, M., Potocki, A., Scharrer, L., Ros, C., Stadtler, M., Salmerón, L. & Rouet, J. F. (2019). How good is this page? Benefits and limits of prompting on adolescents’ evaluation of web information quality.
Reading Research Quarterly, 54(3), 299-321.
https://doi.org/10.1002/rrq.241
Machill, M., Neuberger, C. & Schindler, F. (2003). Transparency on the net: Functions and deficiencies of Internet search engines.
Info:
The Journal of Policy, Regulation and Strategy for Telecommunications, Information and Media,
5(1), 52–74.
https://doi.org/10.1108/14636690310473890
Mandl, T. (2006).
Implementation and evaluation of a quality-based search engine. In
The Seventeenth Conference on Hypertext and Hypermedia, Association for Computing Machinery. (pp. 73-84). New York, NY, United States.
https://doi.org/10.1145/1149941.1149957
McInerney, C. R. & Bird, N. J. (2005). Assessing website quality in context: Retrieving information about genetically modified food on the web.
Information Research, 10(2), paper 213. Retrieved from
https://www.informationr.net/ir/10-2/paper213.html
Morvarid, N., Behzadi, H. & Radad, I. (2016). Qualitative ranking of Persian and non-Persian search engines in information retrieval of Islamic subjects. Journal of Library and Information Science, 19(3), 44-72. [in Persian]
Namk, M. J. & Bitirim, Y. (2015). An evaluation of international web search engines’ performances based on English, Arabic and Turkish languages in various categories. International Journal of Scientific Knowledge, 5(8), 14-20.
Nouri Afkand, A., Matlabi, D. & Alipour Hafezi, M. (2013). Assessment of LIS journal's website based on website quality evaluation tools (WQET) and presentation of offered pattern. Journal of Information Systems and Services, 2(3), 1-12. [in Persian]
Nowkarizi, M. & Zeynali Tazehkandi, M. (2017). The overlap and coverage of 4 local search engines: Parsijoo, Yooz, Parseek and Rismoun. Human Information Interaction, 4(3), 48-59. [in Persian]
Nowkarizi, M. & Zeynali Tazehkandi, M. (2019). Rethinking the recall measure in appraising information retrieval systems and providing a new measure by using Persian search engines.
International Journal of Information Science and Management (IJISM), 17(1), 1-16. Retrieved from
https://ijism.isc.ac/article_698287_b86969c2c323c25fdddf684131ffd5de.pdf
Olsina, L., Godoy, D., Lafuente, G. & Rossi, G. (1999). Assessing the quality of academic websites: A case study.
New Review of Hypermedia and Multimedia, 5(1), 81-103.
https://doi.org/10.1080/13614569908914709
Paananen, A. (2012). Comparative analysis of Yandex and google search engines. Master’s thesis, Helsinki Metropolia University of Applied Sciences.
Rajabi, M. & Norouzi, Y. (2015). Persian search engines: evaluating search features, information retrieval, precision and recall and their overlaps. Librarianship and Information Organization Studies, 26(3), 133-150. [in Persian]
Ramachandran, S., Paulraj, S., Joseph, S. & Ramaraj, V. (2009). Enhanced trustworthy and high-quality information retrieval system for web search engines.
International Journal of Computer Science, 5(1), 38-42. Retrieved from
https://web-archive.southampton.ac.uk/cogprints.org/6724/1/IJCSI-5-38-42.pdf
Salehi, H. (2015). Comparison of the external design of Iranian and non-Iranian children's educational websites (by studying 4 selected cases). Unpublished master’s thesis. Ferdous Institute of Higher Education. [in Persian]
Sellamuthu, K., Ranjithkumar, S., Kavitha, K. & Gowtham, S. (2022, April). On page SEO techniques for better ranking in search engines. In
2022 8th International Conference on Smart Structures and Systems (ICSSS) (pp. 01-06). IEEE. Saveetha Engineering College, Chennai, India.
https://doi.org/10.1109/ICSSS54381.2022.9782182
Serrano-Cinca, C. &
Muñoz-Soro, J. F. (2018). What municipal websites supply and citizens demand: A search engine optimisation approach.
Online Information Review, 43(1), 7-28.
https://doi.org/10.1108/OIR-02-2018-0042
ShahrabiFarahani, N., Shekofteh, M., Kazerani, M. & Emami, Z. (2018). An evaluation of Persian diabetes websites based on WebMedQual (2016).
Iranian Journal of Endocrinology and Metabolism, 20(3), 142-150. Retrieved from
https://ijem.sbmu.ac.ir/article-1-2352-en.pdf [in Persian]
Sharifi, M. (April 8, 2021). Access of Iranian users to Google services. Mehr news agency. https://www.mehrnews.com/news/5184016/
Sotudeh, H. & Honarjooyan, Z. (2013). Persian language challenges in the digital environment and their impact on the effectiveness of automated text processing and information retrieval.
Library and Information Science, 15(4), 59-92. Retrieved from
https://lis.aqr-libjournal.ir/article_42651_05011294ef5c5cbaa8986071ca229087.pdf?lang=en [in Persian]
Statistical Centre of Iran. (2019). Results of the research project of access and use of households and individuals to information and communication technology 2017. [in Persian]
Taheri Khoinrood, Z. (2018). Identifying the effective factors in the use of eighth grade students in Tabriz from the Iranian search engine "Parsijoo": A case study. Unpublished master’s thesis. University of Tabriz. [in Persian]
Tawileh, W., Mandl, T., Griesbaum, J., Atzmueller, M., Benz, D., Hotho, A., & Stumme, G. (2010). Evaluation of five web search engines in Arabic language. In LWA (pp. 221-228).
Taylor, G. (2013). Search quality and revenue cannibalization by competing search engines.
Journal of Economics & Management Strategy, 22(3), 445-467.
https://doi.org/10.1111/jems.12027
UNICEF. (2018, February 6).
More than 175,000 children go online for the first time every day, tapping into great opportunities, but facing grave risks. Retrieved from
https://www.unicef.org/bangladesh/en/press-releases/more-175000-children-go-online-first-time-every-day-tapping-great-opportunities
UNICEF. (2019, September 17).
Protracted conflict, the climate crisis, a rise in mental illness and online misinformation among biggest emerging threats to children.
https://www.unicef.org/bangladesh/en/press-releases/protracted-conflict-climate-crisis-rise-mental-illness-and-online-misinformation
Wilson, L. (2019). Making your content work harder. in
Data-driven marketing content (pp. 119-132). Bingley: Emerald Publishing Limited.
Yakovliev, M. & Filonenko, K. (2019). Effects of loading speed on the site traffic conversion.
Системи управління, навігації та зв’язку. Збірник наукових праць, 5(57), 92-94. Retrieved from
https://www.semanticscholar.org/reader/7cb3067557578f52be73a48224b900601fb29381
Zeynali Tazehkandi, M. & Nowkarizi, M. (2020). Evaluating the effectiveness of Google, Parsijoo, Rismoon, and Yooz to retrieve Persian documents.
Library Hi Tech, 39(1), 166-189.
https://doi.org/10.1108/LHT-11-2019-0229
Zhang, J., Fei, W. & Le, T. (2013). A comparative analysis of the search feature effectiveness of the major English and Chinese search engines.
Online Information Review, 37(2), 217-230.
https://doi.org/10.1108/OIR-07-2011-0099
Zhang, R., Xie, X., Mao, J., Liu, Y., Zhang, M. & Ma, S. (2021, April). Constructing a comparison-based click model for web search. In Proceedings of the Web Conference 2021 (pp. 270-283).
https://doi.org/10.1145/3442381.3449918
Zhu, Q., Du, J. T., Meng, F., Wu, K., & Sun, X. (2011). Using a Delphi method and the analytic hierarchy process to evaluate Chinese search engines: A case study on Chinese search engines.
Online Information Review, 35(6), 942-956.
https://doi.org/10.1108/14684521111193210
Ziakis, C., Vlachopoulou, M., Kyrkoudis, T. & Karagkiozidou, M. (2019). Important factors for improving Google search rank.
Future Internet, 11(2), 32.
https://doi.org/10.3390/fi11020032
