Employing log metrics to evaluate search behaviour and success: case study BBC search engine

2007 ◽  
Vol 33 (5) ◽  
pp. 584-597 ◽  
Author(s):  
Paul Huntington ◽  
David Nicholas ◽  
Hamid R. Jamali
Keyword(s):  
Search Engine ◽  
Search Behaviour

scholarly journals Using the Google™ Search Engine for Health Information: Is There a Problem? Case Study: Supplements for Cancer

2021 ◽  
Vol 5 (2) ◽  
Author(s):  
Hannah C Cai ◽  
Leanne E King ◽  
Johanna T Dwyer
Keyword(s):  
Health Information ◽  
Search Engine ◽  
Information Quality ◽  
Nutrition Information ◽  
High Quality ◽  
Search Results ◽  
Health And Nutrition ◽  
Quality Rating

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.

scholarly journals Foraging Parameters Influencing the Detection and Interpretation of Area-Restricted Search Behaviour in Marine Predators: A Case Study with the Masked Booby

PLoS ONE ◽  
2013 ◽  
Vol 8 (5) ◽  
pp. e63742 ◽  
Author(s):  
Julia Sommerfeld ◽  
Akiko Kato ◽  
Yan Ropert-Coudert ◽  
Stefan Garthe ◽  
Mark A. Hindell
Keyword(s):  
Search Behaviour ◽  
Marine Predators

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

2006 ◽  
Vol 32 (3) ◽  
pp. 212-222 ◽  
Author(s):  
Isola Ajiferuke ◽  
Dietmar Wolfram ◽  
Felix Famoye
Keyword(s):  
Sample Size ◽  
Search Engine ◽  
Goodness Of Fit

Creating and using Web corpora

2005 ◽  
Vol 10 (4) ◽  
pp. 517-541 ◽  
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.

VuFind

2013 ◽  
pp. 73-99 ◽  
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.

Search Engine Marketing in Small and Medium Companies

2011 ◽  
pp. 206-221 ◽  
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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