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Search engine results pages are usually abstracted as binary relevance vectors and hence are categorical data, meaning that only a limited set of operations is permitted, most notably tabulation of occurrence frequencies, with determination…

Information Retrieval · Computer Science 2023-12-21 Alistair Moffat

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

In-degree, PageRank, number of visits and other measures of Web page popularity significantly influence the ranking of search results by modern search engines. The assumption is that popularity is closely correlated with quality, a more…

Information Retrieval · Computer Science 2009-09-29 Sandeep Pandey , Sourashis Roy , Christopher Olston , Junghoo Cho , Soumen Chakrabarti

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

News media websites are important online resources that have drawn great attention of text mining researchers. The main aim of this study is to propose a framework for ranking online news websites from different viewpoints. The ranking of…

Information Retrieval · Computer Science 2019-10-29 Samaneh Karimi , Azadeh Shakery , Rakesh Verma

Everyone knows that thousand of words are represented by a single image. As a result image search has become a very popular mechanism for the Web searchers. Image search means, the search results are produced by the search engine should be…

Computer Vision and Pattern Recognition · Computer Science 2014-01-14 Sukanta Sinha , Rana Dattagupta , Debajyoti Mukhopadhyay

The 2020 US elections news coverage was extensive, with new pieces of information generated rapidly. This evolving scenario presented an opportunity to study the performance of search engines in a context in which they had to quickly…

Computers and Society · Computer Science 2023-04-06 Roberto Ulloa , Mykola Makhortykh , Aleksandra Urman , Juhi Kulshrestha

Text summarization is crucial for mitigating information overload across domains like journalism, medicine, and business. This research evaluates summarization performance across 17 large language models (OpenAI, Google, Anthropic,…

Computation and Language · Computer Science 2025-04-08 Anantharaman Janakiraman , Behnaz Ghoraani

In this paper we have modified the existing page ranking mechanism as an advanced Page Rank Algorithm based on Semantics Inlinks Outlinks and Google Analytics. We have used Semantics page ranking to rank pages according to the word searched…

Social and Information Networks · Computer Science 2017-09-12 Aritra Banerjee , Shrey Choudhary

In the Internet era the information overload and the challenge to detect quality content has raised the issue of how to rank both resources and users in online communities. In this paper we develop a general ranking method that can…

Physics and Society · Physics 2016-09-23 Hao Liao , Giulio Cimini , Matus Medo

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

As the World Wide Web is growing rapidly, it is getting increasingly challenging to gather representative information about it. Instead of crawling the web exhaustively one has to resort to other techniques like sampling to determine the…

Data Structures and Algorithms · Computer Science 2009-02-11 Eda Baykan , Monika Henzinger , Stefan F. Keller , Sebastian De Castelberg , Markus Kinzler

Users who need several queries before finding what they need can benefit from an automatic search assistant that provides feedback on their query modification strategies. We present a method to learn from a search log which types of query…

Information Retrieval · Computer Science 2011-04-04 Vera Hollink , Arjen de Vries

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

Web Search Engine Results Pages (SERP) are one of the most well-known and used web pages. These pages have started as simple ``10 blue links'' pages, but the information in SERP currently goes way beyond these links. Several features have…

Information Retrieval · Computer Science 2023-01-20 B. Oliveira , C. T. Lopes

This report investigates three fundamental search algorithms: Linear Search, Binary Search, and Two Pointer Search. Linear Search checks each element sequentially, Binary Search divides the search space in half, and Two Pointer Search uses…

Data Structures and Algorithms · Computer Science 2024-06-25 Nazma Akter Zinnia , Eisuke Hanada

Encyclopedic knowledge platforms are key gateways through which users explore information online. The recent release of Grokipedia, a fully AI-generated encyclopedia, introduces a new alternative to traditional, well-established platforms…

Information Retrieval · Computer Science 2025-12-22 Erica Coppolillo , Simone Mungari

Searching for medical information is both a common and important activity since it influences decisions people make about their healthcare. Using search engine optimization (SEO), content producers seek to increase the visibility of their…

Information Retrieval · Computer Science 2023-01-25 Sebastian Schultheiß , Helena Häußler , Dirk Lewandowski

The quality of user experience online is affected by the relevance and placement of advertisements. We propose a new system for selecting and displaying visual advertisements in image search result sets. Our method compares the visual…

Computer Vision and Pattern Recognition · Computer Science 2016-04-25 Yannis Kalantidis , Ayman Farahat , Lyndon Kennedy , Ricardo Baeza-Yates , David A. Shamma

Recently, light has been shed on the trend of personalization, which comes into play whenever different search results are being tailored for a group of users who have issued the same search query. The unpalatable fact that myriads of…

Information Retrieval · Computer Science 2022-11-22 Shamma Rashed , Tasnim Said , Amal Abdulrahman , Arsiema Yohannes , Monther Aldwairi
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