dc.contributor.author | Azzopardi, J. | en |
dc.contributor.author | Ivanovic, D. | en |
dc.contributor.author | Kapitsaki, Georgia M. | en |
dc.contributor.editor | Cali A. | en |
dc.contributor.editor | Gorgan D. | en |
dc.contributor.editor | Ugarte M. | en |
dc.creator | Azzopardi, J. | en |
dc.creator | Ivanovic, D. | en |
dc.creator | Kapitsaki, Georgia M. | en |
dc.date.accessioned | 2019-11-13T10:38:22Z | |
dc.date.available | 2019-11-13T10:38:22Z | |
dc.date.issued | 2017 | |
dc.identifier.issn | 0302-9743 | |
dc.identifier.uri | http://gnosis.library.ucy.ac.cy/handle/7/53589 | |
dc.description.abstract | Digital libraries have become an excellent information resource for researchers. However, users of digital libraries would be served better by having the relevant items ‘pushed’ to them. In this research, we present various automatic recommendation systems to be used in a digital library of Serbian PhD Dissertations. We experiment with the use of Latent Semantic Analysis (LSA) in both content and collaborative recommendation approaches, and evaluate the use of different similarity functions. We find that the best results are obtained when using a collaborative approach that utilises LSA and Pearson similarity. © Springer International Publishing AG 2017. | en |
dc.source | 2nd COST Action IC1302 International KEYSTONE Conference on Semantic Keyword-Based Search on Structured Data Sources, IKC 2016 | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85013498800&doi=10.1007%2f978-3-319-53640-8_9&partnerID=40&md5=77990e9d11b1661a1dc7b978bd39589b | |
dc.subject | Websites | en |
dc.subject | Semantics | en |
dc.subject | Content-based | en |
dc.subject | Arches | en |
dc.subject | Collaborative approach | en |
dc.subject | Collaborative recommendation | en |
dc.subject | Digital libraries | en |
dc.subject | Information resource | en |
dc.subject | Latent Semantic Analysis | en |
dc.subject | Semantic Web | en |
dc.subject | Similarity functions | en |
dc.title | Comparison of collaborative and content-based automatic recommendation approaches in a digital library of Serbian PhD dissertations | en |
dc.type | info:eu-repo/semantics/article | |
dc.identifier.doi | 10.1007/978-3-319-53640-8_9 | |
dc.description.volume | 10151 LNCS | en |
dc.description.startingpage | 100 | |
dc.description.endingpage | 111 | |
dc.author.faculty | 002 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences | |
dc.author.department | Τμήμα Πληροφορικής / Department of Computer Science | |
dc.type.uhtype | Article | en |
dc.description.notes | <p>Sponsors: European Cooperation in Science and Technology | en |
dc.description.notes | Conference code: 189199</p> | en |
dc.source.abbreviation | Lect. Notes Comput. Sci. | en |
dc.contributor.orcid | Kapitsaki, Georgia M. [0000-0003-3742-7123] | |
dc.gnosis.orcid | 0000-0003-3742-7123 | |