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People have a high level of trust in search engines, especially Google, but only limited knowledge of them, as numerous studies have shown. This leads to the question: To what extent is this trust justified considering the lack of…

Information Retrieval · Computer Science 2021-03-16 Sebastian Schultheiß , Dirk Lewandowski

This study embarked on a comprehensive exploration of user preferences between Search Engines and Large Language Models (LLMs) in the context of various information retrieval scenarios. Conducted with a sample size of 100 internet users…

Information Retrieval · Computer Science 2024-01-12 Kevin Matthe Caramancion

Aiming to help people conduct online research tasks, much research has gone into tools for searching for, collecting, organizing, and synthesizing online information. However, outside of the lab, in-the-wild sensemaking sessions (with data…

Human-Computer Interaction · Computer Science 2024-11-12 Andrew Kuznetsov , Michael Xieyang Liu , Aniket Kittur

Web search is among the most frequent online activities. Whereas traditional information retrieval techniques focus on the information need behind a user query, previous work has shown that user behaviour and interaction can provide…

Information Retrieval · Computer Science 2022-07-05 Ran Yu , Limock , Stefan Dietze

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

The exponential growth of information source on the web and in turn continuing technological progress of searching the information by using tools like Search Engines gives rise to many problems for the user to know which tool is best for…

Information Retrieval · Computer Science 2025-03-13 Rajender Nath , Satinder Bal

Information availability affects people's behavior and perception of the world. Notably, people rely on search engines to satisfy their need for information. Search engines deliver results relevant to user requests usually without being or…

Information Retrieval · Computer Science 2021-10-19 Aldo Lipani , Florina Piroi , Emine Yilmaz

With the rapid advance of the Internet, search engines (e.g., Google, Bing, Yahoo!) are used by billions of users for each day. The main function of a search engine is to locate the most relevant webpages corresponding to what the user…

Applications · Statistics 2018-03-15 Xinzhi Han , Sen Lei

Domain expertise is regarded as one of the key factors impacting search success: experts are known to write more effective queries, to select the right results on the result page, and to find answers satisfying their information needs.…

Information Retrieval · Computer Science 2015-12-23 Julia Kiseleva , Alejandro Montes García , Jaap Kamps , Nikita Spirin

Search engines are nowadays one of the most important entry points for Internet users and a central tool to solve most of their information needs. Still, there exist a substantial amount of users' searches which obtain unsatisfactory…

Information Retrieval · Computer Science 2009-11-23 Daniel Gayo-Avello , David J. Brenes

In this paper we review studies of the growth of the Internet and technologies that are useful for information search and retrieval on the Web. Search engines are retrieve the efficient information. We collected data on the Internet from…

Information Retrieval · Computer Science 2013-10-18 Avinash N Bhute , B. B. Meshram

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

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

Information exploration tasks are inherently complex, ill-structured, and involve sequences of actions usually spread over many sessions. When exploring a dataset, users tend to experiment higher degrees of uncertainty, mostly raised by…

Human-Computer Interaction · Computer Science 2022-10-03 Thiago Nunes , Daniel Schwabe

Re-finding electronic documents from a personal computer is a frequent demand to users. In a simple re-finding task, people can use many methods to retrieve a document, such as navigating directly to the document's folder, searching with a…

Information Retrieval · Computer Science 2016-01-28 Gangli Liu , Ling Feng

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

This representative study of German search engine users (N=1,000) focuses on the ability of users to distinguish between organic results and advertisements on Google results pages. We combine questions about Google's business with…

Information Retrieval · Computer Science 2017-10-24 Dirk Lewandowski , Friederike Kerkmann , Sandra Ruemmele , Sebastian Suenkler

A sudden reliance on the internet has resulted in the global standardization of specific software and interfaces tailored for the average user. Whether it be web apps or dedicated software, the methods of interaction are seemingly similar.…

Human-Computer Interaction · Computer Science 2020-10-22 Guy Meyer , Alan Wassyng , Mark Lawford , Kourosh Sabri , Shahram Shirani

The Search Engine Results Page (SERP) has evolved significantly over the last two decades, moving away from the simple ten blue links paradigm to considerably more complex presentations that contain results from multiple verticals and…

Information Retrieval · Computer Science 2022-07-28 Nirmal Roy , David Maxwell , Claudia Hauff

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