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This article reviews how empirical research of exploratory search is conducted. We investigated aspects of interdisciplinarity, study settings and evaluation methodologies from a systematically selected sample of 231 publications from…

Information Retrieval · Computer Science 2023-12-25 Alan Medlar , Denis Kotkov , Dorota Glowacka

During recent years, bibliometric studies have become increasingly important in evaluating individual scientists, institutes, and entire observatories. In astronomy, often librarians are involved in maintaining publication databases and…

Instrumentation and Methods for Astrophysics · Physics 2016-01-27 Uta Grothkopf , Jill Lagerstrom

This technical report presents CiteClick, a browser extension designed to monitor and track Google Scholar citation counts for multiple researchers in real-time. We discuss the motivation behind the tool, its key features, implementation…

Digital Libraries · Computer Science 2024-10-22 Nishat Raihan

While decision theory provides an appealing normative framework for representing rich preference structures, eliciting utility or value functions typically incurs a large cost. For many applications involving interactive systems this…

Artificial Intelligence · Computer Science 2013-02-01 Vu A. Ha , Peter Haddawy

The task of expert finding has been getting increasing attention in information retrieval literature. However, the current state-of-the-art is still lacking in principled approaches for combining different sources of evidence in an optimal…

Information Retrieval · Computer Science 2013-02-05 Catarina Moreira , Pável Calado , Bruno Martins

In this work, we motivate, describe, and announce a living bibliography for academic papers and other works published in the Search for Extraterrestrial Intelligence (SETI). The bibliography makes use of bibliographic groups (bibgroups) in…

Digital Libraries · Computer Science 2019-08-08 Alan Reyes , Jason T. Wright

This work provides a critical examination of the most popular bibliometric indicators and methodologies to assess the research performance of individuals and institutions. The aim is to raise the fog and make practitioners more aware of the…

Digital Libraries · Computer Science 2018-11-06 Giovanni Abramo

The number of biomedical research articles published has doubled in the past 20 years. Search engine based systems naturally center around searching, but researchers may not have a clear goal in mind, or the goal may be expressed in a query…

Digital Libraries · Computer Science 2017-10-25 Jessica Perrie , Yanqi Hao , Zack Hayat , Recep Colak , Kelly Lyons , Shankar Vembu , Sam Molyneux

When scientists study the phenomena they are interested in, they apply sound methods and base their work on theoretical considerations. In contrast, when the fruits of their research is being evaluated, basic scientific standards do not…

Digital Libraries · Computer Science 2020-07-01 Lutz Bornmann , Sven Hug

Conversational interfaces are likely to become more efficient, intuitive and engaging way for human-computer interaction than today's text or touch-based interfaces. Current research efforts concerning conversational interfaces focus…

Human-Computer Interaction · Computer Science 2017-09-18 Svitlana Vakulenko , Ilya Markov , Maarten de Rijke

The enormous growth of research publications has made it challenging for academic search engines to bring the most relevant papers against the given search query. Numerous solutions have been proposed over the years to improve the…

Information Retrieval · Computer Science 2023-01-27 Shah Khalid , Shah Khusro , Aftab Alam , Abdul Wahid

We present a continuous-space version of Infotaxis, a search algorithm where a searcher greedily moves to maximize the gain in information about the position of the target to be found. Using a combination of analytical and numerical tools…

Biological Physics · Physics 2011-09-19 Carlo Barbieri , Simona Cocco , Rémi Monasson

This paper discusses the use of Wikipedia for building semantic ontologies to do Query Expansion (QE) in order to improve the search results of search engines. In this technique, selecting related Wikipedia concepts becomes important. We…

Information Retrieval · Computer Science 2017-11-27 D. Puspitaningrum , G. Yulianti , I. S. W. B. Prasetya

The increase in the number of researchers coupled with the ease of publishing and distribution of scientific papers (due to technological advancements) has resulted in a dramatic increase in astronomy literature. This has likely led to the…

Digital Libraries · Computer Science 2019-07-03 W. E. Kerzendorf

In the past, several works have investigated ways for combining quantitative and qualitative methods in research assessment exercises. In this work, we aim at introducing a methodology to explore whether citation-based metrics, calculated…

Digital Libraries · Computer Science 2021-06-11 Federica Bologna , Angelo Di Iorio , Silvio Peroni , Francesco Poggi

Clustering analysis has become a ubiquitous information retrieval tool in a wide range of domains, but a more automatic framework is still lacking. Though internal metrics are the key players towards a successful retrieval of clusters,…

Machine Learning · Computer Science 2020-01-24 Paulo Rocha , Diego Pinheiro , Martin Cadeiras , Carmelo Bastos-Filho

Traditional Online Public Access Catalogues (OPACs) are becoming less effective due to the rapid growth of scholarly literature. Conventional search methods, such as keyword indexing and Boolean queries, often fail to support efficient…

Digital Libraries · Computer Science 2026-04-03 M. S. Rajeevan , B. Mini Devi

Purpose: Advanced usage of Web Analytics tools allows to capture the content of user queries. Despite their relevant nature, the manual analysis of large volumes of user queries is problematic. This paper demonstrates the potential of using…

Information Retrieval · Computer Science 2017-09-25 Anne Chardonnens , Ettore Rizza , Mathias Coeckelbergs , Seth van Hooland

The ever-increasing pace of scientific publication necessitates methods for quickly identifying relevant papers. While neural recommenders trained on user interests can help, they still result in long, monotonous lists of suggested papers.…

Domain experts often need to extract structured information from large corpora. We advocate for a search paradigm called ``extractive search'', in which a search query is enriched with capture-slots, to allow for such rapid extraction. Such…

Computation and Language · Computer Science 2021-06-10 Shauli Ravfogel , Hillel Taub-Tabib , Yoav Goldberg