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This paper presents a novel approach for using clickthrough data to learn ranked retrieval functions for web search results. We observe that users searching the web often perform a sequence, or chain, of queries with a similar information…

Machine Learning · Computer Science 2007-05-23 Filip Radlinski , Thorsten Joachims

In this paper authors analyzed 50 000 keywords results collected from localized Polish Google search engine. We proposed a taxonomy for snippets displayed in search results as regular, rich, news, featured and entity types snippets. We…

Information Retrieval · Computer Science 2019-10-25 Artur Strzelecki , Paulina Rutecka

Search engines such as Google, Yahoo and Baidu yield information in the form of a relevant set of web pages according to the need of the user. Question Answering Systems reduce the time taken to get an answer, to a query asked in natural…

Computation and Language · Computer Science 2019-11-13 Manvi Breja , Sanjay Kumar Jain

Search engine results often misalign with users' goals due to opaque algorithms, leading to unhelpful or detrimental information consumption. To address this, we developed a Google Chrome plugin that provides "content labels" for webpages…

Human-Computer Interaction · Computer Science 2024-10-08 Christopher Kelly , Jonatan Fontanez , Tali Sharot

Over two hundreds health awareness events take place in the United States in order to raise attention and educate the public about diseases. It would be informative and instructive for the organization to know the impact of these events,…

Applications · Statistics 2018-10-10 Zheng Hao , Miao Liu , Xijin Ge

Click models are an important tool for leveraging user feedback, and are used by commercial search engines for surfacing relevant search results. However, existing click models are lacking in two aspects. First, they do not share…

Information Retrieval · Computer Science 2014-01-03 Dinesh Govindaraj , Tao Wang , S. V. N. Vishwanathan

When applying learning to rank algorithms to Web search, a large number of features are usually designed to capture the relevance signals. Most of these features are computed based on the extracted textual elements, link analysis, and user…

Information Retrieval · Computer Science 2017-10-20 Yixing Fan , Jiafeng Guo , Yanyan Lan , Jun Xu , Liang Pang , Xueqi Cheng

We study the statistical properties of various directed networks using ranking of their nodes based on the dominant vectors of the Google matrix known as PageRank and CheiRank. On average PageRank orders nodes proportionally to a number of…

Information Retrieval · Computer Science 2012-06-19 Leonardo Ermann , Alexei D. Chepelianskii , Dima L. Shepelyansky

Missing web pages, URIs that return the 404 "Page Not Found" error or the HTTP response code 200 but dereference unexpected content, are ubiquitous in today's browsing experience. We use Internet search engines to relocate such missing…

Information Retrieval · Computer Science 2010-04-19 Martin Klein , Jeffery Shipman , Michael L. Nelson

We argue that relationships between Web pages are functions of the user's intent. We identify a class of Web tasks - information-gathering - that can be facilitated by a search engine that provides links to pages which are related to the…

Information Retrieval · Computer Science 2010-05-20 Amitabha Bagchi , Garima Lahoti

Titles are denoted by the TITLE element within a web page. We queried the title against the the Yahoo search engine to determine the page's status (found, not found). We conducted several tests based on elements of the title. These tests…

Information Retrieval · Computer Science 2010-02-15 Jeffery L. Shipman , Martin Klein , Michael L. Nelson

Multimodal deep-learning models power interactive video retrieval by ranking keyframes in response to textual queries. Despite these advances, users must still browse ranked candidates manually to locate a target. Keyframe arrangement…

Multimedia · Computer Science 2025-10-07 Bastian Jäckl , Jiří Kruchina , Lucas Joos , Daniel A. Keim , Ladislav Peška , Jakub Lokoč

A publicly available dataset for federated search reflecting a real web environment has long been absent, making it difficult for researchers to test the validity of their federated search algorithms for the web setting. We present several…

Information Retrieval · Computer Science 2016-09-16 Dong Nguyen , Thomas Demeester , Dolf Trieschnigg , Djoerd Hiemstra

Many search engines such as Google, Bing & Yahoo! show search suggestions when users enter search phrases on their interfaces. These suggestions are meant to assist the user in finding what she wants quickly and also suggesting common…

Data Structures and Algorithms · Computer Science 2021-11-01 Dhruv Matani

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

Nowadays, the Web has become one of the most widespread platforms for information change and retrieval. As it becomes easier to publish documents, as the number of users, and thus publishers, increases and as the number of documents grows,…

Information Retrieval · Computer Science 2013-07-04 Abdelhakim Herrouz , Chabane Khentout , Mahieddine Djoudi

Study shows that software developers spend about 19% of their time looking for information in the web during software development and maintenance. Traditional web search forces them to leave the working environment (e.g., IDE) and look for…

Software Engineering · Computer Science 2018-07-09 Mohammad Masudur Rahman , Shamima Yeasmin , Chanchal K. Roy

Search Engine has become a major tool for searching any information from the World Wide Web (WWW). While searching the huge digital library available in the WWW, every effort is made to retrieve the most relevant results. But in WWW…

Information Retrieval · Computer Science 2011-09-26 Debajyoti Mukhopadhyay , Sukanta Sinha

This paper develops a flexible methodology to analyze the effectiveness of different variables on various dependent variables which all are times series and especially shows how to use a time series regression on one of the most important…

Information Retrieval · Computer Science 2011-02-04 Mohammad Amin Omidvar , Vahid Reza Mirabi , Najes Shokry

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