OAUC at CLEF2016 SBS Lab: Using Appeal Elements to Improve Automatic Book Recommendation - Proof of Concept

Author(s)

Publication date

2016

Publisher

CEUR Workshop Proceedings

Document type

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).

Version

publishedVersion

Permanent URL (for citation purposes)

  • http://hdl.handle.net/10642/4291