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The majority of Semantic Web search engines retrieve information by focusing on the use of concepts and relations restricted to the query provided by the user. By trying to guess the implicit meaning between these concepts and relations,…

Information Retrieval · Computer Science 2012-11-28 Manuel Rojas

Scientists, governments, and companies increasingly publish datasets on the Web. Google's Dataset Search extracts dataset metadata -- expressed using schema.org and similar vocabularies -- from Web pages in order to make datasets…

Information Retrieval · Computer Science 2020-06-15 Omar Benjelloun , Shiyu Chen , Natasha Noy

As one of the richest sources of encyclopedic information on the Web, Wikipedia generates an enormous amount of traffic. In this paper, we study large-scale article access data of the English Wikipedia in order to compare articles with…

Social and Information Networks · Computer Science 2018-05-11 Dimitar Dimitrov , Florian Lemmerich , Fabian Flöck , Markus Strohmaier

PageRank is an algorithm introduced in 1998 and used by the Google Internet search engine. It assigns a numerical value to each element of a set of hyperlinked documents (that is, web pages) within the World Wide Web with the purpose of…

Systems and Control · Computer Science 2013-12-09 Hideaki Ishii , Roberto Tempo

Internet users highly rely on and trust web search engines, such as Google, to find relevant information online. However, scholars have documented numerous biases and inaccuracies in search outputs. To improve the quality of search results,…

Computers and Society · Computer Science 2023-10-06 Aleksandra Urman , Aniko Hannak , Mykola Makhortykh

This chapter presents a theoretical framework for evaluating next generation search engines. We focus on search engines whose results presentation is enriched with additional information and does not merely present the usual list of 10 blue…

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

The World Wide Web (WWW) allows the people to share the information (data) from the large database repositories globally. The amount of information grows billions of databases. We need to search the information will specialize tools known…

Artificial Intelligence · Computer Science 2011-02-07 G. Madhu , Dr. A. Govardhan , Dr. T. V. Rajinikanth

PageRank is a Web page ranking technique that has been a fundamental ingredient in the development and success of the Google search engine. The method is still one of the many signals that Google uses to determine which pages are most…

Information Retrieval · Computer Science 2010-08-17 Massimo Franceschet

The way pages are ranked in search results influences whether the users of search engines are exposed to more homogeneous, or rather to more diverse viewpoints. However, this viewpoint diversity is not trivial to assess. In this paper we…

Information Retrieval · Computer Science 2021-07-06 Tim Draws , Nava Tintarev , Ujwal Gadiraju , Alessandro Bozzon , Benjamin Timmermans

Search engines play an important role in the context of modern elections. By curating information in response to user queries, search engines influence how individuals are informed about election-related developments and perceive the media…

Computers and Society · Computer Science 2025-01-10 Mykola Makhortykh , Tobias Rorhbach , Maryna Sydorova , Elizaveta Kuznetsova

Search engine is main access to the largest information source in this world, Internet. Now Internet is changing every aspect of our life. Information retrieval service may be its most important services. But for common user, internet…

Networking and Internet Architecture · Computer Science 2007-05-23 Wang Liang , Guo Yi-Ping , Fang Ming

Major search engines deploy personalized Web results to enhance users' experience, by showing them data supposed to be relevant to their interests. Even if this process may bring benefits to users while browsing, it also raises concerns on…

Information Retrieval · Computer Science 2015-08-18 Van Tien Hoang , Angelo Spognardi , Francesco Tiezzi , Marinella Petrocchi , Rocco De Nicola

Looking into the growth of information in the web it is a very tedious process of getting the exact information the user is looking for. Many search engines generate user profile related data listing. This paper involves one such process…

Information Retrieval · Computer Science 2011-09-12 L. K. Joshila Grace , V. Maheswari , Dhinaharan Nagamalai

The many metrics employed for the evaluation of search engine results have not themselves been conclusively evaluated. We propose a new measure for a metric's ability to identify user preference of result lists. Using this measure, we…

Information Retrieval · Computer Science 2011-03-16 Pavel Sirotkin

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

Because of the increasing number of electronic data, designing efficient tools to retrieve and exploit documents is a major challenge. Current search engines suffer from two main drawbacks: there is limited interaction with the list of…

Information Retrieval · Computer Science 2010-12-09 Sylvie Ranwez , Vincent Ranwez , Mohameth-François Sy , Jacky Montmain , Michel Crampes

Modern web browsers are incredibly complex, with millions of lines of code and over one thousand JavaScript functions and properties available to website authors. This work investigates how these browser features are used on the modern,…

Networking and Internet Architecture · Computer Science 2016-05-23 Peter Snyder , Lara Ansari , Cynthia Taylor , Chris Kanich

We conduct a comparative analysis of desktop web search behaviour of users from Germany (n=558) and Switzerland (n=563) based on a combination of web tracking and survey data. We find that web search accounts for 13% of all desktop…

Human-Computer Interaction · Computer Science 2021-05-12 Aleksandra Urman , Mykola Makhortykh

Search engines like Google have become major information gatekeepers that use artificial intelligence (AI) to determine who and what voters find when searching for political information. This article proposes and tests a framework of…

Computers and Society · Computer Science 2024-05-02 Tobias Rohrbach , Mykola Makhortykh , Maryna Sydorova

Search systems on the Web rely on user input to generate relevant results. Since early information retrieval systems, users are trained to issue keyword searches and adapt to the language of the system. Recent research has shown that users…

Information Retrieval · Computer Science 2023-02-14 Andrea Papenmeier , Dagmar Kern , Daniel Hienert , Alfred Sliwa , Ahmet Aker , Norbert Fuhr
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