dc.contributor.author | Preminger, Michael | |
dc.contributor.author | Fludal, Gjertrud | |
dc.date.accessioned | 2016-11-08T08:15:46Z | |
dc.date.accessioned | 2017-03-16T10:02:05Z | |
dc.date.available | 2016-11-08T08:15:46Z | |
dc.date.available | 2017-03-16T10:02:05Z | |
dc.date.issued | 2016 | |
dc.identifier.citation | CEUR Workshop Proceedings 2016, 1609:1145-1154 | language |
dc.identifier.issn | 1613-0073 | |
dc.identifier.uri | https://hdl.handle.net/10642/4291 | |
dc.description.abstract | In this article we describe the OAUC’s participation in the
CLEF 2016 SBS Search Suggestion track. We are trying to represent
appeal elements, used in readers’ advisory theory and practice, to see if
they can be used in an automatic retrieval and recommendation context.
We are still working with the pace appeal element, used in fiction to
capture how quickly the buildup of the story or the plot is. New this year
is the use of intellectually coded appeal-element data done by EBSCO
as part of the NoveList
R
©
service (our gratitude to EBSCO for providing
the data). | language |
dc.language.iso | en | language |
dc.publisher | CEUR Workshop Proceedings | language |
dc.title | OAUC at CLEF2016 SBS Lab: Using Appeal Elements to Improve Automatic Book Recommendation - Proof of Concept | language |
dc.type | Peer reviewed | language |
dc.type | Journal article | |
dc.type | Journal article | |
dc.date.updated | 2016-11-08T08:15:46Z | |
dc.description.version | publishedVersion | language |
dc.identifier.cristin | 1398278 | |