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Modern search engine result pages often provide immediate value to users and organize information in such a way that it is easy to navigate. The core ranking function contributes to this and so do result snippets, smart organization of…

Information Retrieval · Computer Science 2016-09-05 Aleksandr Chuklin , Maarten de Rijke

Multi-modal search engines have experienced significant growth and widespread use in recent years, making them the second most common internet use. While search engine systems offer a range of services, the image search field has recently…

Information Retrieval · Computer Science 2023-08-23 Swagatika Dash

Query sensitive summarization aims at providing the users with the summary of the contents of single or multiple web pages based on the search query. This paper proposes a novel idea of generating a comparative summary from a set of URLs…

Information Retrieval · Computer Science 2012-01-12 P. Chitra , R. Baskaran , K. Sarukesi

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 this paper we present a number of measures that compare rankings of search engine results. We apply these measures to five queries that were monitored daily for two periods of about 21 days each. Rankings of the different search engines…

Information Retrieval · Computer Science 2007-05-23 Judit Bar-Ilan , Mazlita Mat-Hassan , Mark Levene

In search and advertisement ranking, it is often required to simultaneously maximize multiple objectives. For example, the objectives can correspond to multiple intents of a search query, or in the context of advertising, they can be…

Data Structures and Algorithms · Computer Science 2024-10-17 Nikhil R. Devanur , Sivakanth Gopi

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

Combining the results of different search engines in order to improve upon their performance has been the subject of many research papers. This has become known as the "Data Fusion" task, and has great promise in dealing with the vast…

Information Retrieval · Computer Science 2018-02-13 Weinan Huang , Junyi Chen , Lei Meng , David Lillis

The frequency of a web search keyword generally reflects the degree of public interest in a particular subject matter. Search logs are therefore useful resources for trend analysis. However, access to search logs is typically restricted to…

Social and Information Networks · Computer Science 2015-09-09 Mitsuo Yoshida , Yuki Arase , Takaaki Tsunoda , Mikio Yamamoto

In the task of information retrieval the term relevance is taken to mean formal conformity of a document given by the retrieval system to user's information query. As a rule, the documents found by the retrieval system should be submitted…

Computation and Language · Computer Science 2007-10-02 S. Braichevsky , D. Lande , A. Snarskii

Current video retrieval efforts all found their evaluation on an instance-based assumption, that only a single caption is relevant to a query video and vice versa. We demonstrate that this assumption results in performance comparisons often…

Computer Vision and Pattern Recognition · Computer Science 2021-03-19 Michael Wray , Hazel Doughty , Dima Damen

Tables on the Web contain a vast amount of knowledge in a structured form. To tap into this valuable resource, we address the problem of table retrieval: answering an information need with a ranked list of tables. We investigate this…

Information Retrieval · Computer Science 2021-05-14 Shuo Zhang , Krisztian Balog

In light of Phillips' contention regarding the impracticality of Search Neutrality, asserting that non-epistemic factors presently dictate result prioritization, our objective in this study is to confront this constraint by questioning…

Information Retrieval · Computer Science 2025-01-03 Shiran Dudy

The correlation of the result lists provided by search engines is fundamental and it has deep and multidisciplinary ramifications. Here, we present automatic and unsupervised methods to assess whether or not search engines provide results…

Computation · Statistics 2011-07-15 Paolo D'Alberto , Ali Dasdan

Given a classification model and a prediction for some input, there are heuristic strategies for ranking features according to their importance in regard to the prediction. One common approach to this task is rooted in propositional logic…

Artificial Intelligence · Computer Science 2025-05-16 Tomás Capdevielle , Santiago Cifuentes

The accessibility of documents within a collection holds a pivotal role in Information Retrieval, signifying the ease of locating specific content in a collection of documents. This accessibility can be achieved via two distinct avenues.…

Information Retrieval · Computer Science 2023-11-20 Aman Sinha , Priyanshu Raj Mall , Dwaipayan Roy

Search engines intentionally influence user behavior by picking and ranking the list of results. Users engage with the highest results both because of their prominent placement and because they are typically the most relevant documents.…

Information Retrieval · Computer Science 2022-07-14 Richard Demsyn-Jones

PageRank has become a key element in the success of search engines, allowing to rank the most important hits in the top screen of results. One key aspect that distinguishes PageRank from other prestige measures such as in-degree is its…

Information Retrieval · Computer Science 2007-05-23 Santo Fortunato , Marian Boguna , Alessandro Flammini , Filippo Menczer

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

Many online services, such as search engines, social media platforms, and digital marketplaces, are advertised as being available to any user, regardless of their age, gender, or other demographic factors. However, there are growing…

Information Retrieval · Computer Science 2017-05-31 Rishabh Mehrotra , Ashton Anderson , Fernando Diaz , Amit Sharma , Hanna Wallach , Emine Yilmaz