1,721,136 research outputs found
jDHBenelux Author Template
No full textThis repository contains the latest official GitHub hosted versions of the LaTeX template that authors are required to use when they finalize their contribtions to the DH Benelux Journal. The repository synchronises with the corresponding easy-to-use and well-documented Overleaf Template that provides authors with a low threshold environment for writing LaTeX – but can be used with any LaTeX compiler.
About this Release: Apart from some minor changes to the .cls, v2.0 introduces a number of new files to improve open source development with git and GitHub, including a README, a CC-BY 4.0 License, and a .gitignore file. It also prepares the repository for synchronisation with Zenodo, to improve sustainability.
Full Changelog: https://github.com/DHBenelux/jDHBenelux-author-template/compare/v1.1...v2.
Trends in Content-based Recommendation: Preface to the Special Issue on Recommender Systems based on Rich Item Descriptions
No full textThird Workshop on New Trends in Content-based Recommender Systems (CBRecSys 2016)
Full text linkWhile content-based recommendation has been applied successfully in many different domains, it has not seen the same level of attention as collaborative filtering techniques have. However, there are many recommendation domains and applications where content and metadata play a key role, either in addition to or instead of ratings and implicit usage data. For some domains, such as movies, the relationship between content and usage data has seen thorough investigation already, but for many other domains, such as books, news, scientific articles, and Web pages we still do not know if and how these data sources should be combined to provided the best recommendation performance. The CBRecSys 2016 workshop provides a dedicated venue for papers dedicated to all aspects of content-based recommendation
CBRecSys 2015. New Trends on Content-Based Recommender Systems:Proceedings of the 2nd Workshop on New Trends on Content-Based Recommender Systems co-located with 9th ACM Conference on Recommender Systems (RecSys 2015)
Full text linkWhile content-based recommendation has been applied successfully in many different domains, it has not seen the same level of attention as collaborative filtering techniques have. However, there are many recommendation domains and applications where content and metadata play a key role, either in addition to or instead of ratings and implicit usage data. For some domains, such as movies, the relationship between content and usage data has seen thorough investigation already, but for many other domains, such as books, news, scientific articles, and Web pages we still do not know if and how these data sources should be combined to provided the best recommendation performance. The CBRecSys 2015 workshop aims to address this by providing a dedicated venue for papers dedicated to all aspects of content-based recommendation
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
The GOLEM-Knowledge Graph and Search Interface:Perspectives into Narrative and Fiction
Full text linkThis contribution presents the GOLEM Knowledge Graph and interface, offering different perspectives into content-related data and metadata from the domain of fanfiction narratives. The Knowledge Graph is aligned with common ontologies and vocabularies from the domains of narrative and cultural heritage. In this short paper, we outline how narrative organization and characters’ features are modelled in the GOLEM knowledge graph. The GOLEM UI is also presented, a user-friendly access point to the data that allows to browse the knowledge graph even without knowledge of SPARQL.</p
Exploring the Evolution of Gender Power Difference through the Omegaverse Trope on AO3 Fanfiction
Full text linkThis study examines the evolution of gender power differences within the Omegaverse trope on the Archive of Our Own (AO3) fanfiction platform. The Omegaverse, a fan created trope defined by distinct secondary gender categories (Alpha, Beta, Omega), provides a lens to explore and critique gender dynamics. We used connotation frames and the Riveter NLP pipeline to measure power dynamics in Omegaverse slash relationships between characters. Our corpus includes English stories across eight prominent fandoms, including Japanese anime, K-pop, Western TV series, and Western films. Our findings show Alphas generally exhibit higher power scores than Omegas, consistent with the trope’s constructs, but with notable variance between fandoms, while most fandoms exhibit more within-group consensus when more fans start writing. This research offers insights into how fan communities evolve and challenge traditional power structures.</p
The GOLEM-Knowledge Graph and Search Interface:Perspectives into Narrative and Fiction
Full text linkThis contribution presents the GOLEM Knowledge Graph and interface, offering different perspectives into content-related data and metadata from the domain of fanfiction narratives. The Knowledge Graph is aligned with common ontologies and vocabularies from the domains of narrative and cultural heritage. In this short paper, we outline how narrative organization and characters’ features are modelled in the GOLEM knowledge graph. The GOLEM UI is also presented, a user-friendly access point to the data that allows to browse the knowledge graph even without knowledge of SPARQL.</p
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