English
Related papers

Related papers: Evaluating search engines and defining a consensus…

200 papers

Web search engines apply a variety of ranking signals to achieve user satisfaction, i.e., results pages that provide the best-possible results to the user. While these ranking signals implicitly consider credibility (e.g., by measuring…

Information Retrieval · Computer Science 2012-08-07 Dirk Lewandowski

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

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

Search engines could consistently favor certain values over the others, which is considered as biased due to the built-in infrastructures. Many studies have been dedicated to detect, control, and mitigate the impacts of the biases from the…

Information Retrieval · Computer Science 2021-05-10 Bin Han , Chirag Shah , Daniel Saelid

Currently, the quality of a search engine is often determined using so-called topical relevance, i.e., the match between the user intent (expressed as a query) and the content of the document. In this work we want to draw attention to two…

Information Retrieval · Computer Science 2015-01-27 Aleksandr Chuklin , Maarten de Rijke

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 decide what we see for a given search query. Since many people are exposed to information through search engines, it is fair to expect that search engines are neutral. However, search engine results do not necessarily cover…

Information Retrieval · Computer Science 2023-02-07 Gizem Gezici , Aldo Lipani , Yucel Saygin , Emine Yilmaz

The crucial role of the evaluation in the development of the information retrieval tools is useful evidence to improve the performance of these tools and the quality of results that they return. However, the classic evaluation approaches…

Information Retrieval · Computer Science 2011-06-01 Abdelkrim Bouramoul , Mohamed-Khireddine Kholladi , Bich-Lien Doan

Search engines are the preferred tools for finding information on the Web. They are advancing to be the common helpers to answer any of our search needs. We use them to carry out simple look-up tasks and also to work on rather time…

Information Retrieval · Computer Science 2012-06-13 Georg Singer , Ulrich Norbisrath , Dirk Lewandowski

Search engines can be considered as a gate to the world of WEB, and they also decide what we see for a given search query. Since many people are exposed to information through search engines, it is fair to expect that search engines should…

Information Retrieval · Computer Science 2021-12-28 Gizem Gezici

In order to measure website visibility in search engines, there are softwares for analytics and referencing follow-up. They permit to quantify website's efficacity of referencing and optimize its positionning in search engines. With regard…

Other Computer Science · Computer Science 2009-05-28 Sebastien Bruyere , Vincent Pillet , Luc Quoniam

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 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

In this paper we address the explainability of web search engines. We propose two explainable elements on the search engine result page: a visualization of query term weights and a visualization of passage relevance. The idea is that search…

Information Retrieval · Computer Science 2021-06-10 Ioannis Chios , Suzan Verberne

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 existing search engines sometimes give unsatisfactory search result for lack of any categorization of search result. If there is some means to know the preference of user about the search result and rank pages according to that…

Information Retrieval · Computer Science 2011-02-04 Debajyoti Mukhopadhyay , Pradipta Biswas , Young-Chon Kim

There is a growing demand for transparency in search engines to understand how search results are curated and to enhance users' trust. Prior research has introduced search result explanations with a focus on how to explain, assuming…

Human-Computer Interaction · Computer Science 2024-02-26 Prerna Juneja , Wenjuan Zhang , Alison Marie Smith-Renner , Hemank Lamba , Joel Tetreault , Alex Jaimes

This paper presents an approach to identify efficient techniques used in Web Search Engine Optimization (SEO). Understanding SEO factors which can influence page ranking in search engine is significant for webmasters who wish to attract…

Information Retrieval · Computer Science 2015-09-29 Jai Manral , Mohammed Alamgir Hossain

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

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
‹ Prev 1 2 3 10 Next ›