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Even though currently being challenged by ChatGPT and other large-language models (LLMs), Google Search remains one of the primary means for many individuals to find information on the internet. Interestingly, the way that we retrieve…

Computers and Society · Computer Science 2025-12-04 Konrad Kollnig

Retrieval and content management are assumed to be mutually exclusive. In this paper we suggest that they need not be so. In the usual information retrieval scenario, some information about queries leading to a website (due to `hits' or…

Information Retrieval · Computer Science 2019-08-29 C Ravindranath Chowdary , Anil Kumar Singh , Anil Nelakanti

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

Voice search is becoming a popular mode for interacting with search engines. As a result, research has gone into building better voice transcription engines, interfaces, and search engines that better handle inherent verbosity of queries.…

Information Retrieval · Computer Science 2013-12-17 Apoorv Narang , Srikanta Bedathur

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

Search engines rely heavily on term-based approaches that represent queries and documents as bags of words. Text---a document or a query---is represented by a bag of its words that ignores grammar and word order, but retains word frequency…

Information Retrieval · Computer Science 2017-11-17 Christophe Van Gysel

Much computer vision research has focused on natural images, but technical documents typically consist of abstract images, such as charts, drawings, diagrams, and schematics. How well do general web search engines discover abstract images?…

Computer Vision and Pattern Recognition · Computer Science 2022-11-07 Shawn M. Jones , Diane Oyen

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

Generative search engines directly generate responses to user queries, along with in-line citations. A prerequisite trait of a trustworthy generative search engine is verifiability, i.e., systems should cite comprehensively (high citation…

Computation and Language · Computer Science 2023-10-25 Nelson F. Liu , Tianyi Zhang , Percy Liang

Problem Statement: The huge number of information on the web as well as the growth of new inexperienced users creates new challenges for information retrieval. It has become increasingly difficult for these users to find relevant documents…

Information Retrieval · Computer Science 2011-06-14 Abdelkrim Bouramoul , Mohamed-Khireddine Kholladi , Bich-Lien Doan

Click-through data has proven to be a valuable resource for improving search-ranking quality. Search engines can easily collect click data, but biases introduced in the data can make it difficult to use the data effectively. In order to…

Machine Learning · Computer Science 2020-02-13 Yingcheng Sun , Richard Kolacinski , Kenneth Loparo

The search of information in large text repositories has been plagued by the so-called document-query vocabulary gap, i.e. the semantic discordance between the contents in the stored document entities on the one hand and the human query on…

Information Retrieval · Computer Science 2020-04-22 Bhawani Selvaretnam , Mohammed Belkhatir

Generative search systems are increasingly replacing link-based retrieval with AI-generated summaries, yet little is known about how these systems differ in sources, language, and fidelity to cited material. We examine responses to 11,000…

Information Retrieval · Computer Science 2026-03-18 Michelle Huang , Agam Goyal , Koustuv Saha , Eshwar Chandrasekharan

Web search engines have become the dominant tools for finding information on the Internet. Due to their popularity, users apply them to a wide range of search needs, from simple look-ups to rather complex information tasks. This paper…

Information Retrieval · Computer Science 2012-07-05 Georg Singer , Ulrich Norbisrath , Dirk Lewandowski

Information retrieval systems are usually measured by labeling the relevance of results corresponding to a sample of user queries. In practical search engines, such measurement needs to be performed continuously, such as daily or weekly.…

Information Retrieval · Computer Science 2022-03-04 Nikita Astrakhantsev , Deepak Chittajallu , Nabeel Kaushal , Vladislav Mokeev

High-quality online civic infrastructure is increasingly critical for the success of democratic processes. There is a pervasive reliance on search engines to find facts and information necessary for political participation and oversight. We…

Computers and Society · Computer Science 2021-09-16 Emma Lurie , Deirdre K. Mulligan

Search-engine date filters are widely used to enforce pre-cutoff retrieval in retrospective evaluations of search-augmented forecasters. We show this approach is unreliable across two major search engines: auditing Google Search's before:…

Computation and Language · Computer Science 2026-04-22 Ali El Lahib , Ying-Jieh Xia , Zehan Li , Yuxuan Wang , Xinyu Pi

Users of web search engines are known to mostly focus on the top ranked results of the search engine result page. While many studies support this well known information seeking pattern only few studies concentrate on the question what users…

Information Retrieval · Computer Science 2017-05-03 Philipp Schaer , Philipp Mayr , Sebastian Sünkler , Dirk Lewandowski

Until recently, search engines were the predominant method for people to access online information. The recent emergence of large language models (LLMs) has given machines new capabilities such as the ability to generate new digital…

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