An Exploration of Users’ Needs for Multilingual Information Retrieval and Access

Vassilakaki, Evgenia; Garoufallou, Emmanouel; Johnson, Frances; Hartley, Richard J.

doi:10.1007/978-3-319-24129-6_22

Cited by 8 publications

(8 citation statements)

References 16 publications

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“…Other user centered studies also revealed that bi/multilingual users of IR systems desired more multilingual capabilities such as being able to search in multiple languages simultaneously and being able to filter results by language (Petrelli et al, 2004;Vassilakaki, Garoufallou, Johnson, & Hartley, 2015;Wu, He, & Luo, 2012).…”

Section: Literature Reviewmentioning

confidence: 95%

Multilingual Information Retrieval & Use: Perceptions and Practices Amongst Bi/Multilingual Academic Users

Nzomo

Ajiferuke

Vaughan

et al. 2016

The Journal of Academic Librarianship

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Section: Literature Reviewmentioning

confidence: 95%

Multilingual Information Retrieval & Use: Perceptions and Practices Amongst Bi/Multilingual Academic Users

Nzomo

Ajiferuke

Vaughan

et al. 2016

The Journal of Academic Librarianship

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“…, 2012). However, research on multilingual information access (MLIA) centered on users has been relatively scarce, specifically targeting multilingualism (Vassilakaki et al. , 2015; Steichen et al.…”

Section: Literature Reviewmentioning

confidence: 99%

An exploration of ethnic minorities' needs for multilingual information access of public digital cultural services

Fan

Yao

et al. 2022

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PurposeEthnic minorities (EMs), who make up a sizable proportion of multilingual users, are more likely to browse and search in their native language. It is helpful to identify multilingual users' information needs to provide public digital cultural services (PDCS) for making their life better.Design/methodology/approachThe in-context interview is an efficient way to explore EMs' information needs and evoke their daily experience with PDCS. The material from 31 one-on-one interviews with EMs in China was recorded and analyzed using thematic analysis.FindingsThe findings reveal that language proficiency is a critical factor influencing multilingual information access (MLIA) and multilingual users' information needs. Moreover, language ability, digital literacy and cultural literacy are important components of multilingual information literacy (MLIL), which is helpful for EMs to access PDCS. In light of Kochen's theory, the information needs of PDCS can be classified into the aroused need of resources, the recognized need of functions and services and expressed need. For the expressed need, it is necessary to develop a one-stop convergence platform of PDCS to process various requests of resources, functions and services in the future.Originality/valueThe findings will be valuable for governments, public institutions and social organizations in identifying, addressing and resolving these issues about PDCS.

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“…A number of studies have been conducted that evaluate the effectiveness and efficiency of search engines (Ali and Beg, 2011; Ali and Gul, 2016; Bar-Ilan, 2002, 2007; Bilal, 2012; Brin and Page, 1998; Buckley and Voorhees, 2000; Can et al , 2004; Chu and Rosenthal, 1996; Deka and Lahkar, 2010; Ding and Marchionini, 1996; Dresel et al , 2001; Garoufallou, 2012; Garoufallou et al , 2008; Goh and Ang, 2003; Gordon and Pathak, 1999; Griesbaum, 2004; Griesbaum et al , 2002; Guggenheim and Bar-Ilan, 2005; Hawking and Craswell, 2005; Kaur, et al , 2011; Kerkmann and Lewandowski, 2012; Kumar and Prakash, 2009; Landoni and Bell, 2000; Lazarinis, 2007; Leighton and Srivastava, 1999; Lewandowski, 2006, 2008a; 2008b; 2011, 2015; Li and Shang, 2000; Macfarlane, 2007; Mahmoudi, et al , 2014; Martínez-Sanahuja and Sánchez, 2016; Oppenheim, et al , 2000; Sadeghi, 2011; Shang and Li, 2002; Stock and Stock, 2000; Tung-Tam, 2004; Usmani, et al , 2012; Vassilakaki et al , 2015; Vaughan, 2004; Ve´ronis, 2006 as cited in Lewandowski, 2015; Yu and Kaufman, 2007; Zhang and Fei, 2010; Zhang, et al , 2013).…”

Section: Introductionmentioning

confidence: 99%

“…A number of studies have also been conducted to compare the search engine performance for ranking their efficiency (Bar-Ilan, 2007; Brin and Page, 1998; Deka and Lahkar, 2010; Garoufallou et al , 2008; Goh and Ang, 2003; Kaur, et al , 2011; Kumar and Prakash, 2009; Lewandowski, 2008a; Mahmoudi, et al , 2014; Sadeghi, 2011; Vassilakaki et al , 2015; Yu and Kaufman, 2007; Zhang, et al , 2013). Brin and Page (1998) reveal that Google makes use of a number of techniques to improve search quality including page rank, anchor text and proximity information, the main reason behind its comprehensiveness, thus providing high quality search results.…”

Section: Introductionmentioning

confidence: 99%

“…On the same line Garoufallou et al (2008) also confirm Google as a prioritised and reliable search engine by the Greek academic librarians for its easy information provision. Vassilakaki et al (2015) also ascertain the preference of Google search engines over Yahoo, Bing, Ask.com and Excite. Deka and Lahkar (2010); Goh and Ang (2003); Kaur et al (2011); Kumar and Prakash (2009); Lewandowski (2008a) state that the people like to search information on Google as it provides better interface, features and ease of use to the users because Google is the best search engine in terms of retrieving web resources followed by Yahoo, Bing, Ask.com, AOL, AltaVista and Overture, respectively.…”

Section: Introductionmentioning

confidence: 99%

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Retrieval performance of Google, Yahoo and Bing for navigational queries in the field of “life science and biomedicine”

Gul

Ali

Hussain³

2020

DTA

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PurposeThe purpose of this study is to assess the retrieval performance of three search engines, i.e. Google, Yahoo and Bing for navigational queries using two important retrieval measures, i.e. precision and relative recall in the field of life science and biomedicine.Design/methodology/approachTop three search engines namely Google, Yahoo and Bing were selected on the basis of their ranking as per Alexa, an analytical tool that provides ranking of global websites. Furthermore, the scope of study was confined to those search engines having interface in English. Clarivate Analytics' Web of Science was used for the extraction of navigational queries in the field of life science and biomedicine. Navigational queries (classified as one-word, two-word and three-word queries) were extracted from the keywords of the papers representing the top 100 contributing authors in the select field. Keywords were also checked for the duplication. Two important evaluation parameters, i.e. precision and relative recall were used to calculate the performance of search engines on the navigational queries.FindingsThe mean precision for Google scores high (2.30) followed by Yahoo (2.29) and Bing (1.68), while mean relative recall also scores high for Google (0.36) followed by Yahoo (0.33) and Bing (0.31) respectively.Research limitations/implicationsThe study is of great help to the researchers and academia in determining the retrieval efficiency of Google, Yahoo and Bing in terms of navigational query execution in the field of life science and biomedicine. The study can help users to focus on various search processes and the query structuring and its execution across the select search engines for achieving desired result list in a professional search environment. The study can also act as a ready reference source for exploring navigational queries and how these queries can be managed in the context of information retrieval process. It will also help to showcase the retrieval efficiency of various search engines on the basis of subject diversity (life science and biomedicine) highlighting the same in terms of query intention.Originality/valueThough many studies have been conducted highlighting the retrieval efficiency of search engines the current work is the first of its kind to study the retrieval effectiveness of Google, Yahoo and Bing on navigational queries in the field of life science and biomedicine. The study will help in understanding various methods and approaches to be adopted by the users for the navigational query execution across a professional search environment, i.e. “life science and biomedicine”

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An Exploration of Users’ Needs for Multilingual Information Retrieval and Access

Cited by 8 publications

References 16 publications

Multilingual Information Retrieval & Use: Perceptions and Practices Amongst Bi/Multilingual Academic Users

Multilingual Information Retrieval & Use: Perceptions and Practices Amongst Bi/Multilingual Academic Users

An exploration of ethnic minorities' needs for multilingual information access of public digital cultural services

Retrieval performance of Google, Yahoo and Bing for navigational queries in the field of “life science and biomedicine”

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