Supporting non-English Web searching: An experiment on the Spanish business and the Arabic medical intelligence portals

Chung, Wingyan; Bonillas, Alfonso; Lai, Guanpi; Xi, Wei; Chen, Hsinchun

doi:10.1016/j.dss.2006.02.015

Cited by 12 publications

(12 citation statements)

References 16 publications

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“…Second, we have shown that attitudes confirm earlier work on the general desirability of more translation and better language tools (Chung et al 2006). However, our results also shed a differentiated light on users' attitudes, revealing a complex interplay of English language skills, the perceived saved effort of using native-language content, the perceived overall supply in that language on the Web, and satisfaction.…”

Section: Summary Conclusion and Outlooksupporting

confidence: 66%

A user-centric approach to identifying best deployment strategies for language tools: the impact of content and access language on Web user behaviour and attitudes

Berendt

Kralisch

2009

Inf Retrieval

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The number of Web users whose first language is not English continues to grow, as does the amount of content provided in languages other than English. This poses new challenges for actors on the Web, such as in which language(s) content should be offered, how search tools should deal with mono-and multilingual content, and how users can make the best use of navigation and search options, suited to their individual linguistic skills. How should these challenges be dealt with? Technological approaches to nonEnglish (or in general, cross-language) Web search have made large progress; however, translation remains a hard problem. This precludes a low-cost but high-quality blanket alllanguage coverage of the whole Web. In this paper, we propose a user-centric approach to answering questions of where to best concentrate efforts and investments. Drawing on linguistic research, we describe data on the availability of content and access to it in first and second languages across the Web. We then present three studies that investigated the impact of the availability (or not) of first-language content and access forms on user behaviour and attitudes. The results indicate that non-English languages are under-represented on the Web and that this is partly due to content-creation, link-setting and linkfollowing behaviour. They also show that user satisfaction is influenced both by the cognitive effort of searching and the availability of alternative information in that language. These findings suggest that more cross-language tools are desirable. However, they also indicate that context (such as user groups' domain expertise or site type) should be considered when tradeoffs between information quality and multilinguality need to be taken into account.

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Section: Summary Conclusion and Outlooksupporting

confidence: 66%

A user-centric approach to identifying best deployment strategies for language tools: the impact of content and access language on Web user behaviour and attitudes

Berendt

Kralisch

2009

Inf Retrieval

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“…Studies have suggested or shown that humans are the primary resources for BI success [35,49,83,96] such that organizations are encouraged to bring the analytical talents and other skills of employees together to pursue better services and customer satisfaction [55,63,68,77,105].…”

Section: Bi Assetsmentioning

confidence: 99%

“…law, infrastructure, culture) that influence BI applications for organizational performance improvement [13]. The reviewed papers show that BI business value research has examined firms in the U.S. [11,61,77], Brazil [51], China [79,110], Slovenia [123], and across-countries [40,45,74,105].…”

Section: Country Factorsmentioning

confidence: 99%

Getting value from Business Intelligence systems: A review and research agenda

Trieu

2017

Decision Support Systems

219

155

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Much of the research on Business Intelligence (BI) has examined the ability of BI systems to help organizations address challenges and opportunities. However, the literature is fragmented and lacks an overarching framework to integrate findings and systematically guide research. Moreover, researchers and practitioners continue to question the value of BI systems. This study reviews and synthesizes empirical Information System (IS) studies to learn what we know, how well we know, and what we need to know about the processes of organizations obtaining business value from BI systems. The study aims to identify which parts of the BI business value process have been studied and are still most in need of research, and to propose specific research questions for the future. The findings show that organizations appear to obtain value from BI systems according to the process suggested by Soh and Markus (1995), as a chain of necessary conditions from BI investments to BI assets to BI impacts to organizational performance; however, researchers have not sufficiently studied the probabilistic processes that link the necessary conditions together. Moreover, the research has not sufficiently covered all relevant levels of analysis, nor examined how the levels link up. Overall, the paper identified many opportunities for researchers to provide a more complete picture of how organizations can and do obtain value from BI.

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“…Following the early work of Chen et al [5], SOMs have, for example, been used in applications by Chung et al [6,7] and Yang et al [50]. Ong et al [36] use a SOM to create a map for online news and Van Gulik et al [49] for a music collection on an MP3 player.…”

Section: Self-organizing Mapsmentioning

confidence: 99%

“…Both Musicovery 5 and LivePlasma 6 show a map of songs, where the latter also created a similar map for movies. Finally, YouTube 7 has an option called Warp!, which recommends movies similar to a movie you watched and shows them in a map.…”

Section: Introductionmentioning

confidence: 99%

Map Based Visualization of Product Catalogs

Kagie

Wezel

Groenen

2010

Recommender Systems Handbook

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AND KEYWORDS AbstractTraditionally, recommender systems present recommendations in lists to the user. In contentand knowledge-based recommendation systems these list are often sorted on some notion of similarity with a query, ideal product specification, or sample product. However, a lot of information is lost in this way, since two even similar products can differ from the query on a completely different set of product characteristics. When using a two dimensional, that is, a map-based, representation of the recommendations, it is possible to retain this information. In the map we can then position recommendations that are similar to each other in the same area of the map.Both in science and industry an increasing number of two dimensional graphical interfaces have been introduced over the last years. However, some of them lack a sound scientific foundation, while other approaches are not applicable in a recommendation setting. In our chapter, we will describe a framework, which has a solid scientific foundation (using state-of-the-art statistical models) and is specifically designed to work with e-commerce product catalogs. Basis of the framework is the Product Catalog Map interface based on multidimensional scaling. Also, weshow another type of interface based on nonlinear principal components analysis, which provides an easy way in constraining the space based on specific characteristic values. Then, we discuss some advanced issues. Firstly, we discuss how the product catalog interface can be adapted to better fit the users' notion of importance of attributes using click stream analysis.Secondly, we show an user interface that combines recommendation by proposing with the map based approach. Finally, we show how these methods can be applied to a real e-commerce product catalog of MP3-players.Free Keywords map-based interface, multidimensional scaling, nonlinear principal components analysis, recommender systems, dissimilarity measure Availability The ERIM Report Series is distributed through the following platforms:

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Supporting non-English Web searching: An experiment on the Spanish business and the Arabic medical intelligence portals

Cited by 12 publications

References 16 publications

A user-centric approach to identifying best deployment strategies for language tools: the impact of content and access language on Web user behaviour and attitudes

A user-centric approach to identifying best deployment strategies for language tools: the impact of content and access language on Web user behaviour and attitudes

Getting value from Business Intelligence systems: A review and research agenda

Map Based Visualization of Product Catalogs

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