Improving search engine interfaces for blind users: a case study

ABSTRACT We assessed the quality of online health and nutrition information using a Google™ search on “supplements for cancer”. Search results were scored using the Health Information Quality Index (HIQI), a quality-rating tool consisting of 12 objective criteria related to website domain, lack of commercial aspects, and authoritative nature of the health and nutrition information provided. Possible scores ranged from 0 (lowest) to 12 (“perfect” or highest quality). After eliminating irrelevant results, the remaining 160 search results had median and mean scores of 8. One-quarter of the results were of high quality (score of 10–12). There was no correlation between high-quality scores and early appearance in the sequence of search results, where results are presumably more visible. Also, 496 advertisements, over twice the number of search results, appeared. We conclude that the Google™ search engine may have shortcomings when used to obtain information on dietary supplements and cancer.

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Sample size and informetric model goodness-of-fit outcomes: a search engine log case study

Journal of Information Science ◽

10.1177/0165551506064361 ◽

2006 ◽

Vol 32 (3) ◽

pp. 212-222 ◽

Cited By ~ 6

Author(s):

Isola Ajiferuke ◽

Dietmar Wolfram ◽

Felix Famoye

Keyword(s):

Sample Size ◽

Search Engine ◽

Goodness Of Fit

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Creating and using Web corpora

International Journal of Corpus Linguistics ◽

10.1075/ijcl.10.4.07the ◽

2005 ◽

Vol 10 (4) ◽

pp. 517-541 ◽

Cited By ~ 4

Author(s):

Mike Thelwall

Keyword(s):

Search Engine ◽

Web Sites ◽

Web Crawler ◽

Commercial Search Engine ◽

British National Corpus ◽

The Uk ◽

The University ◽

The Web ◽

National Corpus

The Web has recently been used as a corpus for linguistic investigations, often with the help of a commercial search engine. We discuss some potential problems with collecting data from commercial search engine and with using the Web as a corpus. We outline an alternative strategy for data collection, using a personal Web crawler. As a case study, the university Web sites of three nations (Australia, New Zealand and the UK) were crawled. The most frequent words were broadly consistent with non-Web written English, but with some academic-related words amongst the top 50 most frequent. It was also evident that the university Web sites contained a significant amount of non-English text, and academic Web English seems to be more future-oriented than British National Corpus written English.

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Evaluation of the Forecast Models of Chinese Tourists to Thailand Based on Search Engine Attention: A Case Study of Baidu

Wireless Personal Communications ◽

10.1007/s11277-018-5413-2 ◽

2018 ◽

Vol 102 (4) ◽

pp. 3825-3833 ◽

Cited By ~ 3

Author(s):

Junjian Tang

Keyword(s):

Search Engine ◽

Forecast Models ◽

Chinese Tourists

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VuFind

Advances in Library and Information Science - Library Automation and OPAC 2.0 ◽

10.4018/978-1-4666-1912-8.ch004 ◽

2013 ◽

pp. 73-99 ◽

Cited By ~ 1

Author(s):

Demian Katz ◽

Andrew Nagy

Keyword(s):

Open Source ◽

Search Engine ◽

Relational Database ◽

Data Retrieval ◽

Similarity Analysis ◽

The Core ◽

Front End ◽

Informative Case ◽

Key Features

Apache Solr, an open source Java-based search engine, forms the core of many Library 2.0 products. The use of an index in place of a relational database allows faster data retrieval along with key features like faceting and similarity analysis that are not practical in the previous generation of library software. The popular VuFind discovery tool was built to provide a library-friendly front-end for Solr’s powerful searching capabilities, and its development provides an informative case study on the use of Solr in a library setting. VuFind is just one of many library packages using Solr, and examples like Blacklight, Summon, and the eXtensible Catalog project show other possible approaches to its use.

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Search Engine Marketing in Small and Medium Companies

E-Business Managerial Aspects, Solutions and Case Studies ◽

10.4018/978-1-60960-463-9.ch012 ◽

2011 ◽

pp. 206-221 ◽

Cited By ~ 2

Author(s):

Tom Alby ◽

Burkhardt Funk

Keyword(s):

Search Engine ◽

Small And Medium Enterprises ◽

Online Advertising ◽

Managerial Decision ◽

Long Tail ◽

Search Engine Marketing ◽

Technical Requirements ◽

Acquisition Costs ◽

Medium Enterprises

Search Engine Marketing (SEM) is one of the most effective online advertising channels which let companies efficiently acquire new and reactivate existing customers at low acquisition costs. In this chapter the authors briefly review the scientific literature on SEM with respect to managerial decision problems along the levers of SEM, mainly bid optimization, keyword selection, and adCopy creation. Based on a case study they discuss challenges of SEM campaigns operated by small and medium enterprises (SME). After briefly describing the technical requirements for effectively controlling SEM campaigns the authors focus on keyword selection and how to address the long tail issue in SEM. A/B-Tests are shown to be an appropriate measure for optimizing the combination of ad copies and landing pages. Finally they discuss bid optimization at a keyword level taking into account spill-over effects between keywords.

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Designing Mobile Multimodal Applications

Multimodality in Mobile Computing and Mobile Devices ◽

10.4018/978-1-60566-978-6.ch005 ◽

2010 ◽

pp. 106-135 ◽

Cited By ~ 3

Author(s):

Marco de Sá ◽

Carlos Duarte ◽

Luís Carriço ◽

Tiago Reis

Keyword(s):

Quantitative Analysis ◽

Mobile Application ◽

Early Stage ◽

Evaluation Process ◽

Scenario Generation ◽

Blind Users ◽

Digital Books ◽

Support Evaluation

In this chapter we describe a set of techniques and tools that aim at supporting designers while creating mobile multimodal applications. We explain how the additional difficulties that designers face during this process, especially those related to multimodalities, can be tackled. In particular, we present a scenario generation and context definition framework that can be used to drive design and support evaluation within realistic settings, promoting in-situ design and richer results. In conjunction with the scenario framework, we detail a prototyping tool that was developed to support the early stage prototyping and evaluation process of mobile multimodal applications, from the first sketch-based prototypes up to the final quantitative analysis of usage results. As a case study, we describe a mobile application for accessing and reading rich digital books. The application aims at offering users, in particular blind users, means to read and annotate digital books and it was designed to be used on Pocket PCs and Smartphones, including a set of features that enhance both content and usability of traditional books.

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