scholarly journals Market Dominance and Quality of Search Results in the Search Engine Market

2012 ◽  
Author(s):  
Ioannis Lianos ◽  
Evgenia Motchenkova
Keyword(s):  
Search Engine ◽  
Search Results ◽  
Market Dominance

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.

Search Engine Performance Comparisons

2011 ◽  
pp. 148-164
Author(s):  
Xiannong Meng ◽  
Song Xing
Keyword(s):  
Search Engine ◽  
Search Engines ◽  
Engine Performance ◽  
Process Time ◽  
Average Process ◽  
Search Results ◽  
Time Average ◽  
Evaluation Techniques ◽  
Average User

This chapter reports the results of a project attempting to assess the performance of a few major search engines from various perspectives. The search engines involved in the study include the Microsoft Search Engine (MSE) when it was in its beta test stage, AllTheWeb, and Yahoo. In a few comparisons, other search engines such as Google, Vivisimo are also included. The study collects statistics such as the average user response time, average process time for a query reported by MSE, as well as the number of pages relevant to a query reported by all search engines involved. The project also studies the quality of search results generated by MSE and other search engines using RankPower as the metric. We found MSE performs well in speed and diversity of the query results, while weaker in other statistics, compared to some other leading search engines. The contribution of this chapter is to review the performance evaluation techniques for search engines and use different measures to assess and compare the quality of different search engines, especially MSE.

Website Quality Evaluation Based on Search Engine Queries using Web Rank Position Algorithm (WRPA)

2016 ◽  
Vol 4 (1) ◽  
pp. 224
Author(s):  
Chandran M ◽  
Ramani A. V
Keyword(s):  
Search Engine ◽  
Search Engines ◽  
Quality Evaluation ◽  
Research Work ◽  
Search Query ◽  
Website Quality ◽  
Search Results ◽  
Search Result ◽  
Different Types

<p>The research work is about to test the quality of the website and to improve the quality by analyzing the hit counts, impressions, clicks, count through rates and average positions. This is accomplished using WRPA and SEO technique. The quality of the website mainly lies on the keywords which are present in it. The keywords can be of a search query which is typed by the users in the search engines and based on these keywords, the websites are displayed in the search results. This research work concentrates on bringing the particular websites to the first of the search result in the search engine. The website chosen for research is SRKV. The research work is carried out by creating an index array of Meta tags. This array will hold all the Meta tags. All the search keywords for the website from the users are stored in another array. The index array is matched and compared with the search keywords array. From this, hit to count is calculated for the analysis. Now the calculated hit count and the searched keywords will be analyzed to improve the performance of the website. The matched special keywords from the above comparison are included in the Meta tag to improve the performance of the website. Again all the Meta tags and newly specified keywords in the index array are matched with the SEO keywords. If this matches, then the matched keyword will be stored for improving the quality of the website. Metrics such as impressions, clicks, CTR, average positions are also measured along with the hit counts. The research is carried out under different types of browsers and different types of platforms. Queries about the website from different countries are also measured. In conclusion, if the number of the clicks for the website is more than the average number of clicks, then the quality of the website is good. This research helps in improvising the keywords using WRPA and SEO and thereby improves the quality of the website easily.</p>

Controversial Search Engine Results: An Exploratory Study of Information Presentation and Use

2016 ◽  
Author(s):  
Alamir Novin ◽  
Eric Meyers
Keyword(s):  
Search Engine ◽  
Exploratory Study ◽  
Scientific Information ◽  
Information Presentation ◽  
Result Page ◽  
Written Responses ◽  
Search Results ◽  
Science Topic ◽  
The Way

The manner in which search results are presented to a user may influence how they come to understand scientific information. Sixty participants were asked to read a mock search engine's result page with the goal of summarizing a science topic for a colleague. The researchers analyzed participants’ summaries for the presence of conflicting or negating information from the mock search results page. Preliminary findings indicate that the way in which a search engine displays results can influence a user's understanding of a controversy, particularly document order and genre, which affected the quality of participants’ written responses. La manière dont les résultats de recherche sont présentés aux utilisateurs peut influencer la façon dont ils interprètent l'information scientifique. On a demandé à soixante participants de lire une page  de résultats fictifs d'un moteur de recherche dans le but de résumer un sujet scientifique pour un collègue. Les résultats préliminaires indiquent que la façon dont un moteur de recherche présente les résultats peut influencer compréhension qu’a un utilisateur d'une controverse, en particulier l'ordre des documents et leur genre, qui ont affecté la qualité des résumés produist par les participants.

The Core Aspects of Search Engine Optimisation Necessary to Move up the Ranking

2011 ◽  
Vol 3 (4) ◽  
pp. 62-70 ◽  
Author(s):  
Stephen O’Neill ◽  
Kevin Curran
Keyword(s):  
Local Search ◽  
Search Engine ◽  
Search Engines ◽  
Internet Marketing ◽  
Web Pages ◽  
Image Search ◽  
Web Page ◽  
Search Results ◽  
The Core

Search engine optimization (SEO) is the process of improving the visibility, volume and quality of traffic to website or a web page in search engines via the natural search results. SEO can also target other areas of a search, including image search and local search. SEO is one of many different strategies used for marketing a website but SEO has been proven the most effective. An Internet marketing campaign may drive organic search results to websites or web pages but can be involved with paid advertising on search engines. All search engines have a unique way of ranking the importance of a website. Some search engines focus on the content while others review Meta tags to identify who and what a web site’s business is. Most engines use a combination of Meta tags, content, link popularity, click popularity and longevity to determine a sites ranking. To make it even more complicated, they change their ranking policies frequently. This paper provides an overview of search engine optimisation strategies and pitfalls.

The Core Aspects of Search Engine Optimisation Necessary to Move up the Ranking

2014 ◽  
pp. 243-251 ◽  
Author(s):  
Stephen O’Neill ◽  
Kevin Curran
Keyword(s):  
Local Search ◽  
Search Engine ◽  
Search Engines ◽  
Web Pages ◽  
Image Search ◽  
Web Page ◽  
Marketing Campaign ◽  
Search Results ◽  
The Core

Search engine optimization (SEO) is the process of improving the visibility, volume and quality of traffic to website or a web page in search engines via the natural search results. SEO can also target other areas of a search, including image search and local search. SEO is one of many different strategies used for marketing a website but SEO has been proven the most effective. An Internet marketing campaign may drive organic search results to websites or web pages but can be involved with paid advertising on search engines. All search engines have a unique way of ranking the importance of a website. Some search engines focus on the content while others review Meta tags to identify who and what a web site’s business is. Most engines use a combination of Meta tags, content, link popularity, click popularity and longevity to determine a sites ranking. To make it even more complicated, they change their ranking policies frequently. This paper provides an overview of search engine optimisation strategies and pitfalls.

SEARCH ENGINE OPTIMIZATION

2015 ◽  
Vol 3 ◽  
pp. 506-510 ◽  
Author(s):  
Jakub Zilincan
Keyword(s):  
Search Engine ◽  
Research Question ◽  
Web Design ◽  
Optimization Techniques ◽  
The Internet ◽  
High Ranking ◽  
Search Engine Optimization ◽  
Search Results ◽  
Over Time

Search engine optimization techniques, often shortened to “SEO,” should lead to first positions in organic search results. Some optimization techniques do not change over time, yet still form the basis for SEO. However, as the Internet and web design evolves dynamically, new optimization techniques flourish and flop. Thus, we looked at the most important factors that can help to improve positioning in search results. It is important to emphasize that none of the techniques can guarantee high ranking because search engines have sophisticated algorithms, which measure the quality of webpages and derive their position in search results from it. Next, we introduced and examined the object of the optimization, which is a particular website. This web site was created for the sole purpose of implementing and testing all the main SEO techniques. The main objective of this article was to determine whether search engine optimization increases ranking of website in search results and subsequently leads to higher traffic. This research question is supported by testing and verification of results. The last part of our article concludes the research results and proposes further recommendations.

scholarly journals The Matter of Chance: Auditing Web Search Results Related to the 2020 U.S. Presidential Primary Elections Across Six Search Engines

2021 ◽  
pp. 089443932110068
Author(s):  
Aleksandra Urman ◽  
Mykola Makhortykh ◽  
Roberto Ulloa
Keyword(s):  
Search Engine ◽  
Search Engines ◽  
Large Scale ◽  
Web Search ◽  
Primary Elections ◽  
Virtual Agents ◽  
Search Results ◽  
Presidential Primary ◽  
Large Scale Analysis ◽  
Algorithmic Information

We examine how six search engines filter and rank information in relation to the queries on the U.S. 2020 presidential primary elections under the default—that is nonpersonalized—conditions. For that, we utilize an algorithmic auditing methodology that uses virtual agents to conduct large-scale analysis of algorithmic information curation in a controlled environment. Specifically, we look at the text search results for “us elections,” “donald trump,” “joe biden,” “bernie sanders” queries on Google, Baidu, Bing, DuckDuckGo, Yahoo, and Yandex, during the 2020 primaries. Our findings indicate substantial differences in the search results between search engines and multiple discrepancies within the results generated for different agents using the same search engine. It highlights that whether users see certain information is decided by chance due to the inherent randomization of search results. We also find that some search engines prioritize different categories of information sources with respect to specific candidates. These observations demonstrate that algorithmic curation of political information can create information inequalities between the search engine users even under nonpersonalized conditions. Such inequalities are particularly troubling considering that search results are highly trusted by the public and can shift the opinions of undecided voters as demonstrated by previous research.

Natural-Language-based Generation of Search Results in a Meaning-based Multilingual Search Engine

2006 ◽  
Vol 23 (5) ◽  
pp. 313-319
Author(s):  
Yogesh P Awate ◽  
Jagger Bodas ◽  
Sachin Deshpande ◽  
Pushpak Bhattacharyya
Keyword(s):  
Natural Language ◽  
Search Engine ◽  
Search Results
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