Classifying document types to enhance search and recommendations in digital libraries

In this paper, we address the problem of classifying documents available from the global network of (open access) repositories according to their type. We show that the metadata provided by repositories enabling us to distinguish research papers, thesis and slides are missing in over 60% of cases. While these metadata describing document types are useful in a variety of scenarios ranging from research analytics to improving search and recommender (SR) systems, this problem has not yet been sufficiently addressed in the context of the repositories infrastructure. We have developed a new approach for classifying document types using supervised machine learning based exclusively on text specific features. We achieve 0.96 F1-score using the random forest and Adaboost classifiers, which are the best performing models on our data. By analysing the SR system logs of the CORE [1] digital library aggregator, we show that users are an order of magnitude more likely to click on research papers and thesis than on slides. This suggests that using document types as a feature for ranking/filtering SR results in digital libraries has the potential to improve user experience.Comment: 12 pages, 21st International Conference on Theory and Practise of Digital Libraries (TPDL), 2017, Thessaloniki, Greec

LMS System Requirements from the Libraries’ Point of View

Library services are essential for teaching Therefore a LMS redesign concept should guarantee better integration of library services like catalogs databases and media as well as literature and information management A comparision to other industries can be helpful often customer relationship is maintained and intensified by using customer accounts especially customer accounts of banking systems and insurance companies should be considered Online banking accounts offer a large number of relevant customer relationship functions that could be helpful in library management systems too Also involving librarian professionals in literature researches can be usefu

CORE

Le présent document présente le CORE, un service de recherche largement utilisé, qui donne accès aux publications de recherche en libre accès, provenant d’un réseau mondial de dépôts. CORE a été créé dans le but de permettre l’exploration de textes et de données de la littérature scientifique et donc de soutenir la découverte scientifique, mais il est maintenant utilisé dans un large éventail de cas