Lommatzsch, A., Kille, B., Hopfgartner, F. orcid.org/0000-0003-0380-6088 et al. (1 more author) (2018) NewsREEL Multimedia at MediaEval 2018: News Recommendation with Image and Text Content. In: Working Notes Proceedings of the MediaEval 2018 Workshop. MediaEval 2018, 29-31 Oct 2018, Cagnes-sur-Mer, France. CEUR-WS , Cagnes-sur-Mer, France
Abstract
NewsREEL Multimedia premiers 2018 as part of the MediaEval Benchmarking Initiative. The NewsREEL task combines recommen- dation algorithms with image and text analysis. Participants must predict the popularity of news items based on text snippets and annotated images. Several major German news portals have sup- plied data. The algorithms are evaluated in terms of Precision and Average Precision on unknown data. This paper describes the task and the provided data in detail and explains the applied evaluation approach.
Metadata
Item Type: | Proceedings Paper |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2018 The Author(s). Reproduced in accordance with the publisher's self-archiving policy. |
Keywords: | Multimedia; News; Recommender Systems |
Dates: |
|
Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > Information School (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 05 Nov 2018 14:09 |
Last Modified: | 13 May 2019 11:44 |
Published Version: | http://ceur-ws.org/Vol-2283/MediaEval_18_paper_5.p... |
Status: | Published |
Publisher: | CEUR-WS |
Refereed: | Yes |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:138015 |