Structure and Functions of Metasearch Engines

R. Bhardwaj, Ritesh Kumar, Dr. Mohammad Nazim
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Abstract

The present study systematically examines the structure and functions of metasearch engines (MSEs) viz. Dogpile, Metacrawler, DuckDuckGo and Startpage. Further, it identifies the features and services of four metasearch engines and compares them. A checklist method was used to evaluate the four metasearch engines.These check spots are prepared regarding features and services of metasearch engines. The data were collected between April 1 to June 14, 2021, spending two hours daily. Initially, the data was recorded after accessing each MSE, and later,the data was transferred to MS Excel. The study ascertained that out of 101 check spots, Dogpile scored (66) points, Metacrawler (63), DuckDuckGo (71), and Startpage (59). DuckDuckGo is ranked first among all the four metasearch engines with 70.3 %, followed by Dogpile, Metacrawler, and Startpage respectively. A checklist used in the study contains only 101 check spots to compare the metasearch engines. Further, users’ perception regarding the four metasearch engines is also not covered in the present study. The present study is the first of its kind, which compares four popular metasearch engines using a checklist method. The outcomes of the study shall help research scholars, librarians, information scientists, faculty members, and common masses choose the appropriate metasearch engine. Further, the study shall also help the developers of e-resources in incorporating more features so that users can benefit.  
元搜索引擎的结构和功能
本研究系统地考察了元搜索引擎(mse)的结构和功能,即Dogpile, Metacrawler, DuckDuckGo和Startpage。进一步,识别了四种元搜索引擎的特征和服务,并对它们进行了比较。采用清单法对四种元搜索引擎进行评价。这些检查点是针对元搜索引擎的特性和服务准备的。这些数据是在2021年4月1日至6月14日期间收集的,每天花费两个小时。首先,在访问每个MSE后记录数据,然后将数据传输到MS Excel中。研究确定,在101个检查点中,Dogpile得分为66分,Metacrawler得分为63分,DuckDuckGo得分为71分,Startpage得分为59分。在四个元搜索引擎中,DuckDuckGo以70.3%的份额排名第一,其次是Dogpile、Metacrawler和Startpage。研究中使用的检查表只包含101个检查点来比较元搜索引擎。此外,用户对四种元搜索引擎的看法也未在本研究中涉及。目前的研究是此类研究中的第一个,它使用清单方法比较了四种流行的元搜索引擎。研究结果将有助于研究学者、图书馆员、信息科学家、教职员工和普通大众选择合适的元搜索引擎。此外,这项研究亦会协助电子资源的开发者加入更多的功能,让使用者受惠。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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