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Welcome to Edinburgh Napier Research Repository

The ‘Research Repository’ is the open access institutional repository of Edinburgh Napier University. It contains examples of research outputs produced by staff and research students, as well as related information about the university's funded projects and staff research interests.

Whenever possible, refereed documents accepted for publication, or finished artistic compositions presented in public, will be made available here in full digital format, and hyperlinks to standard published versions will be provided. Any questions about submissions to the repository or problems with access to any of its content should be sent to the Repository Team at repository@napier.ac.uk



Latest Additions

Curated Collection: The Festival City in Event Management Research (2024)
Journal Article
Todd, L., & Quinn, B. (in press). Curated Collection: The Festival City in Event Management Research. Event Management, https://doi.org/10.3727/152599524X17114977927355

This curated collection considers the topic of the Festival City and examines how research on this theme published in the Event Management journal has contributed to extant theory in event management and event studies. Our commentary examines the evo... Read More about Curated Collection: The Festival City in Event Management Research.

Scottish One Health Antimicrobial Use and Antimicrobial Resistance in 2019 (2021)
Report
Morrison, D. Scottish One Health Antimicrobial Use and Antimicrobial Resistance in 2019. Antimicrobial Resistance and Healthcare Associated Infection Scotland

An unplanned revision has been undertaken and corrections to figures and messages have been highlighted in red. Updates have also been made to the Animal Antimicrobial Use and Minimising the spread of AMR through the environment sections. Antimicrobi... Read More about Scottish One Health Antimicrobial Use and Antimicrobial Resistance in 2019.

A Model of User Preference Learning for Content-Based Recommender Systems (2009)
Journal Article
Horvath, T. (2009). A Model of User Preference Learning for Content-Based Recommender Systems. Computing and Informatics, 28(4), 1001-1029

This paper focuses to a formal model of user preference learning for content-based recommender systems. First, some fundamental and special requirements to user preference learning are identified and proposed. Three learning tasks are introduced as... Read More about A Model of User Preference Learning for Content-Based Recommender Systems.

GRAMOFON: General model-selection framework based on networks (2011)
Journal Article
Buza, K., Nanopoulos, A., Horváth, T., & Schmidt-Thieme, L. (2012). GRAMOFON: General model-selection framework based on networks. Neurocomputing, 75(1), 163-170. https://doi.org/10.1016/j.neucom.2011.02.026

Ensembles constitute one of the most prominent class of hybrid prediction models. One basically assumes that different models compensate each other's errors if one combines them in an appropriate way. Often, a large number of various prediction model... Read More about GRAMOFON: General model-selection framework based on networks.