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This paper presents first successful steps in designing search agents that learn meta-strategies for iterative query refinement in information-seeking tasks. Our approach uses machine reading to guide the selection of refinement terms from…

With the rise of social networks, information on the internet is no longer solely organized by web pages. Rather, content is generated and shared among users and organized around their social relations on social networks. This presents new…

Information Retrieval · Computer Science 2020-05-12 Yunzhong He , Wenyuan Li , Liang-Wei Chen , Gabriel Forgues , Xunlong Gui , Sui Liang , Bo Hou

Beam search with masked language models (MLMs) is challenging in part because joint probability distributions over sequences are not readily available, unlike for autoregressive models. However, estimating such distributions has important…

Machine Learning · Computer Science 2024-10-11 Creston Brooks , Robert Calef , Charlie Cowen-Breen , Anna Sappington

In the past, most search queries issued to a search engine were short and simple. A keyword based search engine was able to answer such queries quite well. However, members are now developing the habit of issuing long and complex natural…

Information Retrieval · Computer Science 2025-01-03 Xin Yang , Rachel Zheng , Madhumitha Mohan , Sonali Bhadra , Pansul Bhatt , Lingyu , Zhang , Rupesh Gupta

The Deep Web is constituted by data that are accessible through Web pages, but not readily indexable by search engines as they are returned in dynamic pages. In this paper we propose a conceptual framework for answering keyword queries on…

Databases · Computer Science 2025-01-09 Andrea Calì , Davide Martinenghi , Riccardo Torlone

Typically, search engines provide query suggestions to assist users in the search process. Query suggestions are very important for improving users search experience. However, most query suggestions are based on the user's search logs, and…

Information Retrieval · Computer Science 2022-06-29 Seungmin Kim , EunChan Na , Seong Baeg Kim

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

Internet search engines function in a present which changes continuously. The search engines update their indices regularly, overwriting Web pages with newer ones, adding new pages to the index, and losing older ones. Some search engines…

Information Retrieval · Computer Science 2009-11-19 Iina Hellsten , Loet Leydesdorff , Paul Wouters

Template extraction is the process of isolating the template of a given webpage. It is widely used in several disciplines, including webpages development, content extraction, block detection, and webpages indexing. One of the main goals of…

Information Retrieval · Computer Science 2014-09-10 Julián Alarte , David Insa , Josep Silva , Salvador Tamarit

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

The enormous development of the Internet, both in the geographical scale and in the area of using its possibilities in everyday life, determines the creation and collection of huge amounts of data. Due to the scale, it is not possible to…

Information Retrieval · Computer Science 2024-02-15 Michał Malinowski

Web search engines are frequently used to access information about products. This has increased in recent times with the rising popularity of e-commerce. However, there is limited understanding of what users search for and their intents…

Information Retrieval · Computer Science 2020-10-23 Nikitha Rao , Chetan Bansal , Subhabrata Mukherjee , Chandra Maddila

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

Search is an integral part of a software development process. Developers often use search engines to look for information during development, including reusable code snippets, API understanding, and reference examples. Developers tend to…

The problem that the same information need can be expressed in a variety of ways is especially true for scientific literature. Each scientific discipline has its own domain-specific language and vocabulary. This language is coded into…

Digital Libraries · Computer Science 2012-03-27 Philipp Schaer , Thomas Lüke , Wilko van Hoek

Search engines are the most commonly used type of tool for finding relevant information on the Internet. However, today's search engines are far from perfect. Typical search queries are short, often one or two words, and can be ambiguous…

Information Retrieval · Computer Science 2014-07-24 Dilip K. Limbu , Andy M. Connor , Stephen G. MacDonell

Indexing the Web is becoming a laborious task for search engines as the Web exponentially grows in size and distribution. Presently, the most effective known approach to overcome this problem is the use of focused crawlers. A focused…

Information Retrieval · Computer Science 2015-10-02 Ali Seyfi

This study examines textual, user-written search queries within the context of sound search engines, encompassing various applications such as foley, sound effects, and general audio retrieval. Current research inadequately addresses…

Computation and Language · Computer Science 2024-10-14 Benno Weck , Frederic Font

The main information of a webpage is usually mixed between menus, advertisements, panels, and other not necessarily related information; and it is often difficult to automatically isolate this information. This is precisely the objective of…

Information Retrieval · Computer Science 2012-10-24 Sergio López , Josep Silva , David Insa

Databases are widespread, yet extracting relevant data can be difficult. Without substantial domain knowledge, multivariate search queries often return sparse or uninformative results. This paper introduces an approach for searching…

Artificial Intelligence · Computer Science 2017-04-05 Feras Saad , Leonardo Casarsa , Vikash Mansinghka