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Purpose: To compare five major Web search engines (Google, Yahoo, MSN, Ask.com, and Seekport) for their retrieval effectiveness, taking into account not only the results but also the results descriptions. Design/Methodology/Approach: The…

Information Retrieval · Computer Science 2015-11-19 Dirk Lewandowski

Purpose - To test major Web search engines on their performance on navigational queries, i.e. searches for homepages. Design/methodology/approach - 100 real user queries are posed to six search engines (Google, Yahoo, MSN, Ask, Seekport,…

Information Retrieval · Computer Science 2015-11-19 Dirk Lewandowski

How different are search engines? The search engine wars are a favorite topic of on-line analysts, as two of the biggest companies in the world, Google and Microsoft, battle for prevalence of the web search space. Differences in search…

Information Retrieval · Computer Science 2020-11-09 Konstantina Dritsa , Thodoris Sotiropoulos , Haris Skarpetis , Panos Louridas

This report aims to report my thesis progress so far. My work attempts to show the differences in the perspectives of two search engines, Bing and Google on several selected controversial topics. In this work, we try to make a distinction…

Information Retrieval · Computer Science 2022-11-22 Gizem Gezici

The objective of this research was to find out how the two search engines Google and Bing perform when users work freely on pre-defined tasks, and judge the relevance of the results immediately after finishing their search session. In a…

Human-Computer Interaction · Computer Science 2017-10-24 Sebastian Suenkler , Dirk Lewandowski

This paper investigates the composition of search engine results pages. We define what elements the most popular web search engines use on their results pages (e.g., organic results, advertisements, shortcuts) and to which degree they are…

Information Retrieval · Computer Science 2015-11-19 Nadine Hoechstoetter , Dirk Lewandowski

In previous research it has been shown that link-based web page metrics can be used to predict experts' assessment of quality. We are interested in a related question: do expert rankings of real-world entities correlate with search engine…

Digital Libraries · Computer Science 2008-10-21 Michael L. Nelson , Martin Klein , Manoranjan Magudamudi

When it comes to search engines, users generally prefer Google. Our study aims to find the differences between the results found in Google compared to other search engines. We compared the top 10 results from Google, Bing, DuckDuckGo, and…

Information Retrieval · Computer Science 2022-07-18 Nurce Yagci , Sebastian Sünkler , Helena Häußler , Dirk Lewandowski

Different search engines provide different outputs for the same keyword. This may be due to different definitions of relevance, and/or to different knowledge/anticipation of users' preferences, but rankings are also suspected to be biased…

Information Retrieval · Computer Science 2018-08-06 Ahmed Kamoun , Patrick Maillé , Bruno Tuffin

The correlation of the result lists provided by search engines is fundamental and it has deep and multidisciplinary ramifications. Here, we present automatic and unsupervised methods to assess whether or not search engines provide results…

Computation · Statistics 2011-07-15 Paolo D'Alberto , Ali Dasdan

Number of published scholarly articles is growing exponentially. To tackle this information overload, researchers are increasingly depending on niche academic search engines. Recent works have shown that two major general web search…

Information Retrieval · Computer Science 2017-01-11 Anasua Mitra , Amit Awekar

A ranking is an ordered sequence of items, in which an item with higher ranking score is more preferred than the items with lower ranking scores. In many information systems, rankings are widely used to represent the preferences over a set…

Artificial Intelligence · Computer Science 2017-09-22 Zhiwei Lin , Yi Li , Xiaolian Guo

Search engines provide cached copies of indexed content so users will have something to "click on" if the remote resource is temporarily or permanently unavailable. Depending on their proprietary caching strategies, search engines will…

Digital Libraries · Computer Science 2007-05-23 Frank McCown , Michael L. Nelson

Search engine retrieval effectiveness studies are usually small-scale, using only limited query samples. Furthermore, queries are selected by the researchers. We address these issues by taking a random representative sample of 1,000…

Information Retrieval · Computer Science 2014-05-12 Dirk Lewandowski

We carried out a retrieval effectiveness test on the three major web search engines (i.e., Google, Microsoft and Yahoo). In addition to relevance judgments, we classified the results according to their commercial intent and whether or not…

Information Retrieval · Computer Science 2015-11-19 Dirk Lewandowski

Purpose - To test the ability of major search engines, Google, Yahoo, MSN, and Ask, to distinguish between German and English-language documents Design/methodology/approach - 50 queries, using words common in German and in English, were…

Information Retrieval · Computer Science 2015-11-19 Dirk Lewandowski

This work falls in the areas of information retrieval and semantic web, and aims to improve the evaluation of web search tools. Indeed, the huge number of information on the web as well as the growth of new inexperienced users creates new…

Information Retrieval · Computer Science 2012-12-12 Abdelkrim Bouramoul , Mohamed-Khireddine Kholladi , Bich-Liên Doan

Search engines like Google, Yahoo or Bing are an excellent support for finding documents, but this strength also imposes a limitation. As they are optimized for document retrieval tasks, they perform less well when it comes to more complex…

Information Retrieval · Computer Science 2012-06-27 Kristiina Singer , Georg Singer , Krista Lepik , Ulrich Norbisrath , Pille Pruulmann-Vengerfeldt

There is no doubt that Search Engines are playing a great role in Internet usage. But all the top search engines Google, Yahoo and Bing are having a critical flaw called "Openness of a Search Engine". An Internet user should be allowed to…

Computers and Society · Computer Science 2012-03-05 Katuru SM Kalyana Chakravarthy

This short paper deals with the combination and comparison of two data sources: Search engine results and query suggestions for 16 terms related to political candidates and parties. The data was collected before the federal election in…

Information Retrieval · Computer Science 2019-02-14 Malte Bonart , Philipp Schaer
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