Evaluating the use of search engine development tools in IT education

By Michael Chau, C. Wong, Yilu Zhou, Jialun Qin, Hsinchun Chen. 2010

440 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Information Systems, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/8913bd506686358823a2eb7bcebf2292232e9b7e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

In Information Systems

In Statistical and Nonlinear Physics

Citations in the corpus

A multilevel modelling approach to investigating the predictive validity of editorial decisions: do the editors of a high profile journal select manuscripts that are highly cited after publication? (2011, positive): “(c) All things being equal, a manuscript is more likely to be cited if it is published in a reputable journal rather than in a journal with low reputation (Bornmann and Daniel, 2008c; Larivière and Gingras, 2010; Shatz, 2004).”
Building an Intrusion Detection System Using a Filter-Based Feature Selection Algorithm (2016, background): “The F -measure is a harmonic mean between precision p and recall r [44].”
Scopus as a curated, high-quality bibliometric data source for academic research in quantitative science studies (2020, neutral): “…around network visualization and spatial bibliometrics (Bornmann & De Moya Anegón, 2019; Bornmann & Waltman, 2011; Leydesdorff & Persson, 2010; Mutz, Bornmann, de Moya Anegón, & Stefaner, 2014) as well as research building new visualization techniques (Leydesdorff, 2010; Mischo & Schlembach, 2018).”
Examining the usage, citation, and diffusion patterns of bibliometric mapping software: A comparative study of three tools (2018, positive): “Indicators for measuring the diffusion of software In this study, we introduce several indicators to measure the impact and diffusion of software through use, based on the iffusion indicators proposed by Rousseau (2005) and Liu and Rousseau (2010).”
Charisma: An Ill-Defined and Ill-Measured Gift (2016, neutral): “…over time (Aksnes 2003), (b) the impact factor of the journal, given that papers published in higher impact journals typically collect more citations (Larivière & Gingras 2010) and (c) the mean impact factor of all journals across all fields in which the journal is listed because fields have…”
Guided Transformer: Leveraging Multiple External Sources for Representation Learning in Conversational Search (2020, background): “Although negation has been studied for decades in the Boolean information retrieval and negative feedback literature [13, 37, 45, 53], it is still difficult for a system to learn an effective representation for the user information need.”
How interdisciplinary is sustainability research? Analyzing the structure of an emerging scientific field (2011, neutral): “Though most recent bibliometric research has used ISI to obtain data, a comparison of databases has confirmed that Scopus is an acceptable alternative to ISI (Leydesdorff et al. 2010).”
Science mapping software tools: Review, analysis, and cooperative study among tools (2011, positive): “Another approach consists of representing the networks in a map, where the distance between two items reflects the strength of the relation between both (Davidson et al., 1998; Fabrikant, Montello, & Mark, 2010; Polanco et al., 2001; van Eck & Waltman, 2010).”
The Notion of Relevance in Information Science: Everybody knows what relevance is. But, what is it really? (2016, neutral): “For instance, Hjørland (2010) considers the “subject knowledge view” of relevance (equated with topical relevance) as basic, “derived from a pragmatic theory of knowledge … that could be interpreted as a positivist epistemology” (ibid. p. 232).”
Cultivating Social Resources on Social Network Sites: Facebook Relationship Maintenance Behaviors and Their Role in Social Capital Processes (2014, neutral): “Thelwall and Wilkinson (2010) explored social grooming in a SNS context, asserting that public comments such as “happy birthday” posts generally served to initiate and maintain contact between Friends.”
A Short Introduction to Learning to Rank (2011, background): “The probability models can be calculated with the words appearing in the query and document, and thus no training is needed (only tuning of a small number of parameters is necessary) [3].”